Total 2,516 Others level Science / R&D / Research job vacancies

The Singapore Centre for Environmental Life Sciences Engineering (SCELSE) is a leading interdisciplinary research centre jointly hosted by Nanyang Technological University (NTU) and the National University of Singapore (NUS). SCELSE brings together expertise from the life sciences, engineering, and natural sciences to advance the understanding, engineering, and control of complex microbial communities, including biofilms and microbiomes.

Positioned at the intersection of discovery and application, SCELSE leverages emerging technologies and cross‑disciplinary innovation to address pressing global challenges in health, sustainability, and environmental resilience.

Role Focus

This role will contribute to cutting‑edge research aimed at developing innovative strategies to modulate the gut microbiome for human health. The successful candidate will work within a highly collaborative, forward‑thinking research environment, translating foundational science into impactful insights with potential clinical, nutritional, and therapeutic applications.

SCELSE is seeking a highly motivated Senior Research Fellow to lead and coordinate a strategic research program focused on developing and validating the effects of bioactive components on the gut microbiome and biofilms.

The successful candidate will:

• Provide scientific and operational leadership for the project, including co‑developing study objectives, work plans, timelines, and experimental strategies in close collaboration with internal teams and external partners.

• Design, lead, and execute experimental workflows, from concept through validation, ensuring scientific rigor and reproducibility.

• Perform and oversee advanced data analysis, translating complex biological data into meaningful insights that support innovation and application.

• Contribute hands‑on experimental support where required, while guiding junior researchers and fostering a high‑performance research culture.

• Engage actively with stakeholders across academia, industry, and other partner organizations to align research outcomes with broader translational and societal impact goals.

Requirements & Qualifications

• PhD in Biological Sciences or a closely related field.

• Minimum of 5 years of relevant research experience in microbial ecology and molecular biology, with strong expertise in microbiomes and/or biofilms.

• Demonstrated experience in research or project management, with working knowledge of biostatistics, data analytics, and intellectual property considerations in a research or innovation environment.

• Proven ability to work independently, solve complex scientific problems under tight timelines, and deliver high‑quality outcomes with strong attention to detail.

• Excellent organizational and time‑management skills, with the flexibility to manage multiple priorities in a dynamic setting.

Leadership & Professional Competencies

• Strong leadership and influencing skills, with the ability to build productive relationships and credibility with stakeholders at all levels.

• Collaborative mindset with experience working effectively in fast‑paced, multidisciplinary, and cross‑functional teams.

• International research or professional experience is highly desirable, along with an established regional or global professional network.

• Excellent written and verbal communication skills, including scientific writing and presentations.

• Outstanding interpersonal skills, cultural awareness, and a strong commitment to teamwork, mentorship, and continuous learning.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-AssociateAssistant-%28Infectious-Disease-Modelling-&-AI-for-Public-Health%29/32509-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

About the Role
The Centre for Epidemic Response & Modelling (CERM) at NUS Saw Swee Hock School of Public Health is recruiting two Research Associates/Assistants to support a diverse portfolio of research projects at the intersection of infectious disease modelling, Bayesian inference, AI, and public health. Projects span AI-driven epidemic forecasting, transmission modelling in the ASEAN region, social network dynamics and use for large language models for public good. Successful candidates will be embedded in a multidisciplinary team working with epidemiologists, clinicians, biostatisticians, data scientists, and public health agencies.

We welcome candidates with complementary skill profiles. One position is oriented towards computational/statistical modelling; the other towards data engineering, visualisation, and software development. Both positions involve hands-on research work and will suit candidates looking to build a strong research track record before or alongside a PhD. The postholder will work with Asst. Prof. Swapnil Mishra (Deputy Director, CERM and AI for Public Health Programme) and engage an active network of collaborators spanning CERM, NUS, Imperial College London, Ashoka University, the Communicable Diseases Agency Singapore (CDA), the National Environment Agency Singapore (NEA), the Machine Learning & Global Health Network (MLGH), and wider regional and global partners.

Key Responsibilities
• Implement and test statistical and computational models for infectious disease dynamics (compartmental models, Bayesian inference, phylogenetic analysis, or machine learning pipelines depending on profile).
• Process, clean, and analyse large-scale epidemiological, genomic, and/or mobility datasets.
• Develop data visualisation tools and contribute to interactive surveillance dashboards.
• Support the preparation of manuscripts, reports, conference presentations, and workshops.
• Collaborate with internal team members and external partners across institutions and countries.
• Contribute to code documentation and reproducible research workflows.

Additional Opportunities
Exceptional candidates may have the opportunity to pursue a PhD at NUS. The group actively supports career development through conference travel, training workshops, and mentorship from senior researchers and international collaborators.

Qualifications

Research Associate (higher band): Master's degree in a relevant discipline (statistics, epidemiology, computer science, bioinformatics, computational biology, biostatistics, or related) with two years of relevant work experience.

Research Assistant (entry band): Bachelor's degree with strong analytical training; candidates with no experience are welcome to apply.

• Solid quantitative background; familiarity with Bayesian inference or machine learning is an advantage.
• Proficiency in Python and/or R; experience with probabilistic programming (Stan, PyMC, NumPyro) or deep learning frameworks (PyTorch, JAX) is desirable but not required.
• Ability to work with real-world datasets and to communicate findings clearly in writing and presentations.
• Demonstrated ability to work both independently and as part of a team.
• A publication or pre-print record (for Research Associate level) is an advantage but not essential.

Interested applicants should submit the following documents:
• A cover letter explaining your interest in the position, and relevant experience,
• A comprehensive curriculum vitae.
• Contact information for two professional references (letters may be requested).

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Environmental-Microbiology-and-Biotechnology%29/32492-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking for a highly motivated and collaborative Research Engineer with demonstrated skills in environmental engineering, microbiome, and bioinformatics. The position involves developing novel biotechnologies for nutrients removal and pollutants detoxification in bioreactors, engineered systems, waterbodies and the environment, in particular cultivation and characterization of functional microbes, predictive understanding of microbiome dynamics and functioning in engineering systems such as bioreactors in lab and pilot scale. The selected Research Engineer will be responsible for sample collection or management, culturing, microbiome analysis, data processing, integration, etc. He/she will also be encouraged to collaborate with other laboratory members on diverse research projects.

Job Requirements

•    Possess a bachelor’s degree in environmental engineering.
•    Master’s degree is preferred. 
•    At least 3 years’ of relevant working experience  
•    Prior research experience in one or more areas such as environmental microbiology and biotechnology, chemical analysis; 
•    Multidisciplinary knowledge and research experience in engineering, chemical analysis, environmental biotechnology, bioinformatics, statistics, data mining, machine learning.
•    Independent, motivated, resourceful and able to work in a team.
•    Strong written and spoken communication skills. 
•    Excellent quantitative, writing, and presentation skills.
•    Experience in publishing peer-reviewed publications.
•    Demonstrated ability to direct and run independent research project(s).
Experience collaborating with industrial teams.
•    Open to fixed-term contract 

Responsibilities:

•             Providesassistance to the research team

•             Screensand recruits suitable patients to participate in the research project

•             Briefspatients on research background and rationale and to obtain their consent ofparticipation

•             Collectsdata from patients' medical records and research statistics

•             Helpsdocument adverse events / reactions that arise

•             Performsphlebotomy and venepuncture when required

Requirements:

•             MinimumDegree/ Diploma in Nursing

•             Min 3years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume inMS Word to

nurse@recruitexpress.com.sg

Anthea Lim

Outsourcing Team

Company Reg. No. 199601303W

EA Licence No. 99C4599

Responsibilities:

•        Provides assistance to the research team

•        Screens and recruits suitable patients toparticipate in the research project

•        Briefs patients on research background andrationale and to obtain their consent of participation

•        Collects data from patients' medical records andresearch statistics

•        Helps document adverse events / reactions thatarise

•        Performs phlebotomy and venepuncture whenrequired

Requirements:

•        Minimum Degree/ Diploma in Nursing

•        Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume inMS Word to

valerie@recruitexpress.com.sg

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

Job scope:

In charge of all inventories in the warehouse

Handles inventory operations.

Ensure operational efficiency and identify gaps to improve existing operations.

Resolving issues arising from operations.

Responsible to maintain cleanliness and tidiness of the workplace.

Follow strictly to proper handling of food items according to food hygiene and safety guidelines.

Requirements:

Fast Learner with good supervisory skill

Ability to work in a fast-paced and dynamic environment

Able to work independently

Able to work in freezer

Job Description

We are seeking highly qualified and experienced IB Mathematics and Science Instructors to join our academic team in Singapore. The ideal candidates will have a strong academic background and proven experience teaching International Baccalaureate (IB) programmes, delivering rigorous and engaging lessons that support students in achieving top academic outcomes.

Key Responsibilities

• Deliver high-quality instruction for IB Mathematics, Physics, and/or Chemistry (MYP / DP levels)
• Prepare students for IB internal assessments (IA), extended essays (EE), and final examinations
• Design and adapt lesson plans aligned with IB curriculum standards and assessment criteria
• Provide targeted academic support, including exam strategies and concept mastery
• Monitor student progress and deliver detailed, data-driven feedback
• Conduct small group classes and one-on-one sessions
• Contribute to curriculum development and academic excellence initiatives

Requirements

• Bachelor’s degree in Mathematics, Physics, Chemistry, or a related field (Master’s degree preferred)
• Minimum 3 years of teaching experience in IB programmes or equivalent international curricula
• Strong familiarity with IB syllabus, assessment criteria, and grading standards
• Proven track record of helping students achieve strong academic results
• Excellent command of English (spoken and written)
• Strong analytical, communication, and classroom management skills
• Ability to teach high-achieving students in a rigorous academic environment

Preferred Qualifications

• Experience teaching IB Diploma Programme (DP) students
• Familiarity with Higher Level (HL) subjects
• Experience guiding students in Internal Assessments (IA) and Extended Essays (EE)
• Teaching certification (e.g., PGCE, QTS, or equivalent)
• Experience in international schools or premium academic institutions

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Supply-Chain-Management%29/32507-en_GB/

We regret that only shortlisted candidates will be notified.

Job Role/ Core Capabilities

• Experience with logistics and supply chain processes, including transport operations, fleet management, and operational readiness frameworks
• Model & Algorithm Development: Design, build and implement optimisation models for various transportation contexts, and machine learning classifiers
• Heuristics & Solvers: Develop and refine custom heuristics and metaheuristics (e.g., Tabu Search, Genetic Algorithms) to find high-quality solutions for large-scale, real-world problems. Utilise commercial and open-source solvers (e.g., Gurobi, CPLEX, Google OR-Tools).
• Formulate and solve Mixed-Integer Linear Programmes (MILP) for real-time vehicle–task assignment including objective function design and constraint modelling
• Design, implementation, and delivery of simulation data science solutions to perform system-of-systems discrete event simulations for significantly complex operational processes (e.g., AnyLogic, AnyLogistix, FlexSim, Arena, Demo 3D, etc.)
• Data Analysis & Feature Engineering: Analyse historical and real-time data from multi-source inputs
• Experience analysing large datasets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of datasets
• Machine Learning & AI: Train, evaluate, and deploy supervised classification models (e.g., XGBoost, LightGBM), design ensemble pipelines combining rule-based, probabilistic, and ML components; apply explainability tools (e.g., SHAP, LIME) to produce interpretable, auditable decision outputs
• Experience with data visualisation and visualisation tools (e.g., MS Power BI, Tableau), including design and delivery of operational KPI dashboards covering driver–task mismatch rates, fleet health distribution, fatigue heatmaps, and dispatch allocation efficiency

Requirements

Education

• PhD in industrial engineering, Operations Research, Computer Science, Operations Research or an equivalent field

Experience

• Min 1–2 years of experience in logistics and supply chain management
• Experience in research or applied engineering environment delivering optimisation, simulation, or decision-support systems for operational contexts
• Track record of end-to-end model delivery: problem formulation: data pipeline, algorithm design, implementation, validation, stakeholder communication

Technical Skills

• Experience or familiarity with optimisation packages such as Gurobi, CPLEX, OR-Tools, and Python PuLP for MILP formulation and solver configuration
• Experience or familiarity with simulation tools such as AnyLogic, AnyLogistix, FlexSim, Arena, AIMMS, Demo 3D or similar tools
• Proficiency in Python including pandas, numpy, scipy, scikit-learn, XGBoost, PuLP/OR-Tools, and pytest; proficiency in SQL for data queries and operational log extraction
• Experience with MS Power BI, Tableau
• Familiarity with MLflow or equivalent experiment tracking tools for ML retraining pipelines
• Proficiency in MS Office

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) is a newly established interdisciplinary joint school under College of Engineering and College of Science at NTU Singapore. The Zhong group works at the interface of organometallic and organic chemistry to develop new generations of transition metal catalysts and reagents for novel organic transformations.

The Zhong group is pursuing development of new generations of transition metal catalysts for asymmetric catalysis and C-H functionalization. The candidate should have a BS/MS degree in chemistry with prior experience in synthetic organic chemistry and/or transition metal catalysis in advanced institutions. The candidate should possess analytical skills including NMR, GC/HPLC, mass spec, etc, as well as experience in handling air-sensitive compounds with Schlenk techniques or glovebox.
 

Key Responsibilities: 

• Assist in routine lab research and data analysis in organic chemistry and organometallic chemistry.

• Assist in instrument maintenance, and acquisition of chemicals, lab supplies and consumables.

• Present research progress in group meetings and private meetings.

Job Requirements: 

• BS in chemistry

• Prior experience in synthetic organic chemistry and/or transition metal catalysis in advanced institutions.

• Analytical skills including NMR, GC/HPLC, mass spec, etc.

• Experience in handling air-sensitive compounds with Schlenk techniques or glovebox.

We seek a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Wave-Overtopping%29/32491-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

This position supports Work Package 1 (WP1) experimental studies of wave overtopping over Singapore-relevant coastal protection structures for local design guidance.

The successful candidate will be required to:

•     Conduct scaled physical model tests at NUS for revetments, promenades, and vertical walls
•     Measure and analyse q, Vmax, flow depth/velocity, crest pressures, and related loads; quantify uncertainty; and derive local   empirical relationships aligned with EurOtop
•     Support WP1 reports/publications and provide validation data and hydraulic inputs to other work packages.

Job Requirements

•    Possess at least a bachelor’s degree in Coastal Engineering, Ocean Engineering, Civil Engineering, Mechanical Engineering, or a closely related discipline.
•    Masters degree will be preferred. 
•    Strong background in physical modelling of coastal/free-surface flows or wave-structure interaction.
•    Experience with hydraulic laboratory experiments, instrumentation, and data analysis.
•    Proficiency in Python, MATLAB, or similar; prior wave overtopping/coastal structures experience is advantageous.
•    Has prior strong publication records and independence.
•    Excellent written and verbal communication skills.
•    Open to fixed-term contract.  

JOB DESCRIPTION :

• Bake Banh Mi from scratch, make other Vietnamese flour-based products eg. Pau
• Mix, prepare and bake bread and pastries.
• Prepare ingredients.
• To be responsible for the bakery’s day to day operations.
• To be able to read and follow recipes.
• To ensure that all baked goods are produced according to SOP(s).

REQUIREMENT:

• Familiar with baking Banh Mi from scratch.
• Able to make other Vietnamese flour-based products eg. Pau
• Ability to work in hot, hectic environment, stand, walk, bend, use hands and appliances, and lift heavy items for extended periods.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow%2C-Computer-Science-%28School-of-Computing%29/32522-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research fellow is going to investigate the design of novel database systems on modern hardware (e.g., GPUs and/or Non-volatile memory) and data science applications.

Only shortlisted applicants will be notified.

Qualifications

• A PhD degree in Computer Science or related field
• Experience in research and Good publication record
• Strong systems development skills

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Bayesian-Inference-&-Genomic-Epidemiology%29/32501-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

About the Role
The Centre for Epidemic Response & Modelling (CERM) at NUS Saw Swee Hock School of Public
Health seeks a Research Fellow with deep expertise in Bayesian statistical modelling and genomic
epidemiology to contribute to methodological and applied research across several funded
programmes. Core themes include the integration of genomic, serological, and epidemiological
data into unified Bayesian frameworks; real-time inference of transmission dynamics and variant
fitness; and the development of semi-mechanistic models for arbovirus lineage surveillance across
South and South-East Asia.

The postholder will work with Asst. Prof. Swapnil Mishra (Deputy Director, CERM and AI for Public
Health Programme) and engage an active network of collaborators spanning CERM, NUS, Imperial
College London, Ashoka University, the Communicable Diseases Agency Singapore (CDA), the
National Environment Agency Singapore (NEA), the Machine Learning & Global Health Network
(MLGH), and wider regional and global partners.

Key Responsibilities
• Develop and extend Bayesian semi-mechanistic renewal equation models for estimating
genotype-specific reproduction numbers and immune escape.
• Build scalable inference pipelines integrating genomic (phylogenetic/lineage) data with
epidemiological surveillance streams.
• Apply and extend deep generative modelling approaches (e.g. normalising flows,
variational inference) to handle large-scale pathogen genomic datasets.
• Contribute to real-time dashboards and toolkits for arbovirus genomic surveillance (DENV,
ZIKV) across the region.
• Publish findings in high-quality peer-reviewed journals; present at international
conferences.
• Co-supervise Research Associates and Research Assistants; contribute to grant writing
and reporting.

Additional Opportunities
The group actively supports career development through conference travel, training workshops, and mentorship from senior researchers and international collaborators.

Qualifications

• PhD in statistics, biostatistics, computational epidemiology, bioinformatics, or related field.
• Strong hands-on experience with probabilistic programming (Stan, PyMC, NumPyro,
Turing, or equivalent).
• Proficiency in Python and/or R; experience with JAX or similar autodiff frameworks is
advantageous.
• Familiarity with at least one of i) phylodynamic methods (BEAST, IQTREE, or equivalent),
ii) lineage classification frameworks, and iii) renewal equation or compartmental
transmission models.
• Track record of peer-reviewed publications.
• Strong quantitative and coding skills; ability to work in collaborative, multi-institutional research settings.

Interested applicants should submit the following documents:
• A cover letter explaining your interest in the position, relevant experience, and research vision.
• A comprehensive curriculum vitae, including a full list of publications.
• A research statement (maximum two pages) outlining past contributions and future directions.
• Contact information for two professional references (letters may be requested).

The National Institute of Education invites suitable applications for the position of Research Fellow on an 8-month contract at the Centre for Research in Child Development.

Project Introduction:

The Centre for Research in Child Development (CRCD) is a leading research centre dedicated to advancing understanding of child development and early education. CRCD conducts multi-project research to generate high-quality evidence that informs policy, practice, and innovation in the early childhood sector.

We are seeking a Research Fellow to support CRCD’s research initiatives by contributing to the secondary analysis of existing research datasets to address viable research questions on classroom quality. This role also involves assisting in the preparation of research funding proposals and facilitating the effective start-up of related research project teams. The position offers an excellent opportunity to work with rich datasets and contribute to impactful research in a collaborative and dynamic environment.

Requirements

• PhD in Education, Psychology, Child Development, Statistics, or a related field.

• Strong experience in quantitative data analysis, preferably in secondary data analysis of large-scale datasets and the use of advanced statistical techniques (e.g., multilevel or longitudinal modelling).

• Expertise in classroom observation video coding will be highly advantageous.

• Familiarity with classroom quality frameworks or early childhood education research is essential.

• Experience contributing to competitive research grant projects, especially projects incorporating longitudinal designs or classroom observation, is desirable.

• Strong analytical, critical thinking, and problem-solving skills, with excellent academic writing ability.

• Excellent organisational and project management skills, with the ability to manage multiple tasks and collaborate effectively with diverse stakeholders.

Responsibilities

• Conduct horizon scanning on emerging developments (e.g., AI in education, new early childhood risks, and international trends) and synthesise their implications for CRCD’s research directions, partnerships, and funding opportunities.

• Conduct exploratory and longitudinal analyses of existing datasets to uncover viable research questions and examine patterns, variability, and relationships between classroom quality and child development outcomes.

• Collaborate with relevant researchers and stakeholders to draft high-quality research funding proposals - integrating literature reviews, methodology sections, and other supporting materials - leading to submission.

• Support the planning and set-up of new research project teams, including facilitating early-stage project activities and onboarding of team members. 

• Explore, pilot, and document technology-enabled research processes (e.g., AI-assisted literature scanning and synthesis tools), and support Centre Management in developing improved workflows to enhance CRCD’s research efficiency.

• Any other research-related responsibilities assigned by Centre Management.  

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Requisition ID: R00024148
(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Fellow--Centre-for-Research-in-Child-Development---NIE-_R00024148)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities

We are seeking an Expert R&D Software Engineer to lead the design and development of advanced AI-powered applications, driving end-to-end architecture across frontend, backend, and AI/ML systems. This role requires deep technical expertise to define system architecture, guide implementation, and ensure scalability, reliability, and performance of complex, production-grade solutions.

You will lead the integration of AI/ML capabilities, including large language models (LLMs) and advanced inference systems, into enterprise applications, while architecting robust data pipelines for large-scale data processing and AI-driven features. In addition to hands-on development, you will play a key role in shaping technical direction, establishing best practices, and mentoring engineers, operating as a technical authority within a fast-paced R&D environment.

Key Responsibilities

· Lead architecture and design of end-to-end AI-powered full-stack systems, spanning frontend, backend, and data/ML layers

· Define and drive technical strategy for integrating AI/ML capabilities into scalable, production-grade applications

· Design complex, high-performance frontend systems and user experiences for AI-driven workflows

· Architect and oversee scalable backend services, APIs, and distributed systems

· Establish and optimize data pipelines for large-scale ingestion, processing, and AI model integration

· Ensure system-wide performance, scalability, reliability, and security across the full stack

· Provide technical leadership across teams, guiding design decisions, code quality, and engineering standards

· Mentor senior and junior engineers, fostering technical growth and best practices

· Collaborate with product, R&D, and leadership to translate business needs into technical solutions and roadmaps

· Drive rapid prototyping and experimentation while ensuring a path to production-quality systems

· Lead adoption of modern engineering practices (CI/CD, observability, MLOps, cloud-native architecture)

· Evaluate and introduce new technologies, frameworks, and AI approaches to advance product capabilities

Qualifications

Must-Have Qualifications

· Master’s or PhD in Computer Science, Software Engineering, or a related field, with 8–12+ years of experience in software engineering, including significant full-stack development

· Proven track record of architecting and delivering large-scale, production-grade systems with full-stack ownership

· Deep expertise in frontend (React, Vue, or similar) and backend technologies (Python, Node.js, Java, or equivalent)

· Strong experience integrating AI/ML systems (e.g., LLMs, inference services) into real-world applications at scale

· Demonstrated success building scalable data pipelines, including summarization/information extraction and anomaly detection or predictive models on structured/time-series data

· Strong knowledge of system design, distributed systems, and software architecture principles

· Experience with cloud platforms (AWS) and cloud-native architectures

· Strong leadership, mentorship, and cross-functional collaboration skills

· Experience working in R&D or highly ambiguous environments, with the ability to drive from concept to production

· Fluency in English, including technical communication

Strongly Preferred

· Experience leading technical architecture across multiple teams or large-scale systems

· Hands-on experience with generative AI, LLM orchestration, and agent-based systems

· Experience with advanced frontend architecture for complex, data-rich or AI-driven applications

· Expertise in containerization and orchestration (Docker, Kubernetes) and scalable distributed systems

· Experience with streaming systems, real-time data pipelines, and event-driven architecture

· Familiarity with MLOps practices, model monitoring, and evaluation frameworks

· Experience with Model Context Protocol (MCP) or similar frameworks for standardized AI system integration

· Track record of driving innovation, introducing new technologies, or influencing engineering strategy at an organizational level