As an AI Engineer Intern, you'll be part of a dynamic team focused on developing, refining, and deploying core AI features for our proprietary AI-driven products and solutions. You'll bridge the gap between AI research and application, translating innovative concepts into tangible, impactful features.

Key Responsibilities:

• Collaborate with cross-functional teams to design, develop, and implement AI features, focusing on areas like natural language processing, data analysis, and predictive modeling.

• Conduct research and rapid prototyping of the most suitable AI algorithms and techniques based on best practices, particularly those involving LLMs to address technical and business requirements.

• Write clean, well-tested, and well-documented code, contributing to efficient and maintainable system components.

• Contribute to the project's foundational knowledge by documenting the shared technical understanding and implementation details aligned with high-level business requirements and project goals.

Qualifications:

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence or a related field.

• You are a team player that enjoys collaborating and communicating with diverse groups.

• You enjoy tackling large challenges and enjoy discovering problems as much as solving them.

• You are able to problem solve and adapt to changing priorities in a fast-paced dynamic environment.

• Able to commit to a 6 months full time internship duration.

• This is a full work-from-office (WFO) internship.

Skills You’ll Need to Bring:

• You have built or prototyped features with AI technologies (LLMs, Embeddings, Fine-Tuning).

• You have experience in agentic frameworks (e.g., ADK, LangChain) for building LLM-powered applications.

• You have strong technical skills in Python.

• You are adept at optimizing, refactoring, and improving Python code, ensuring our systems are efficient, scalable, and maintainable

Nice to Haves:

• Hands-on experience with cloud platforms (GCP).

• Demonstrated interest in advanced AI topics such as Reinforcement Learning (RL).

• Familiarity with processing multi-modal data (audio and video).

• Familiarity with Agile development methodology and collaboration tools (e.g., JIRA) for task management and sprint planning.

About Lighthouse Canton

Founded in 2014, Lighthouse Canton is a Singapore-headquartered global investment management firm with approximately US$ 5+ billion in Assets Under Management (AUM). Lighthouse Canton is one of the leading and award-winning investment firms in the region, focusing on managing funds with uncorrelated investment strategies, providing investors with the opportunity to achieve consistent returns across market cycles. Lighthouse Canton has offices in Singapore, Dubai, India, and the UK.

Job Purpose

We are offering an AI Engineering Internship designed as a structured, mentored introduction to building production-grade AI systems inside a regulated wealth management firm. You will sit inside our small AI Lab and work alongside experienced engineers on real internal applications across Investment, Relationship Management, Risk, Operations, and Compliance - not toy projects, and not coffee runs.

What You Will Do

Building & Supporting AI Applications

• Pair with senior engineers on AI-powered internal applications using LLMs, RAG pipelines, and agents. Expect to start by reading code and small fixes, and ramp up to owning well-scoped features under guidance.
• Help build and tune retrieval systems: chunking strategies, embeddings, vector search, and basic re-ranking.
• Practise prompt engineering and context engineering—structuring inputs, managing memory, and compacting context - to keep agents coherent across multi-step tasks.
• Help wire internal knowledge bases, market data feeds, and operational systems into agents via Model Context Protocol (MCP) servers and other typed-tool interfaces.

Agent Harness & Evaluation

• Get hands-on with the agent harness - the runtime layer around the LLM that manages execution loops, tool calls, state, memory, and error handling. You will be expected to learn the vocabulary (ReAct, planner/executor, guardrails, permission gates, loop budgets) and apply it in real code.
• Help build evaluation harnesses: writing test cases, regression suites, deterministic checks (schema validation, citation checks),and simple LLM-as-judge graders—so we can tell whether changes actually improve quality.
• Instrument agents with basic observability: tracing tool calls, logging token usage, latency, and outcomes; help triage failure traces and feed lessons back into prompts and tool specs.
• Contribute to internal documentation on harness patterns, evals, and lessons learned - useful both to the team and to your own learning.

Collaboration & Knowledge Sharing

• Partner with stakeholders in Investment, Relationship Management, Risk, Operations, and Compliance to understand requirements—always alongside a senior team member.
• Take part in code reviews, design discussions, and weekly team check-ins. Asking questions is part of the job, not a sign of weakness.
• Present a short end-of-internship readout summarising what you built, what you learned, and what you would do differently.

What We Are Looking For

Technical Foundations

• Programming: Comfortable in Python from coursework, personal projects, or prior internships. Any exposure to JavaScript/TypeScript, Git, and the command line is a plus.
• AI/ML Curiosity: Has built at least one small project involving LLMs (e.g., via OpenAI, Anthropic, or open-source models) - a chatbot, a RAG demo, a hackathon project, a tinkering side project, an agent that does something silly. Quality of curiosity matters more than scale.
• Agentic AI Awareness: Familiar at a conceptual level with agent frameworks (e.g., LangChain, LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK) and modern terms like MCP, RAG, evals, and guardrails. We do not expect mastery - we expect that you have read about them and want to go deeper.
• AI-Assisted Development: Comfortable using coding assistants such as Claude Code, Codex, or GitHub Copilot as part of how you build - and aware that they need supervision, tests, and clear specs to produce reliable code.
• Data & Web Basics: Light exposure to databases (SQL, or any NoSQL store), and to web/API basics (HTTP, JSON, a back-end framework such as FastAPI or Flask) is helpful but not required.

Mindset & Soft Skills

• Genuine curiosity about AI, finance, and the messy intersection of the two. You should be excited to learn how a wealth management firm actually works.
• Comfort with ambiguity: real projects rarely arrive with neat specs. We will help you scope them, but we want someone willing to sit with uncertainty.
• Communication: able to explain technical ideas in plain English (and in writing), and to flag blockers early rather than getting stuck quietly.
• Integrity: this is a regulated environment. We need an intern who treats client data, MNPI, and internal information with the same care a full-time hire would.

Education

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Quantitative Finance, or a related field—or a recent graduate within 12 months.
• No prior professional experience required. Strong coursework, personal projects, open-source contributions, hackathon work, or research projects are all valid signals.
• Penultimate-year and final-year students are encouraged to apply.

As an AI Engineer Intern, you'll be part of a dynamic team focused on developing, refining, and deploying core AI features for our proprietary AI-driven products and solutions. You'll bridge the gap between AI research and application, translating innovative concepts into tangible, impactful features.

Key Responsibilities:

• Collaborate with cross-functional teams to design, develop, and implement AI features, focusing on areas like natural language processing, data analysis, and predictive modeling.

• Conduct research and rapid prototyping of the most suitable AI algorithms and techniques based on best practices, particularly those involving LLMs to address technical and business requirements.

• Write clean, well-tested, and well-documented code, contributing to efficient and maintainable system components.

• Contribute to the project's foundational knowledge by documenting the shared technical understanding and implementation details aligned with high-level business requirements and project goals.

Qualifications:

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence or a related field.

• You are a team player that enjoys collaborating and communicating with diverse groups.

• You enjoy tackling large challenges and enjoy discovering problems as much as solving them.

• You are able to problem solve and adapt to changing priorities in a fast-paced dynamic environment.

• Able to commit to a 6 months full time internship duration.

• This is a full work-from-office (WFO) internship.

Skills You’ll Need to Bring:

• You have built or prototyped features with AI technologies (LLMs, Embeddings, Fine-Tuning).

• You have experience in agentic frameworks (e.g., ADK, LangChain) for building LLM-powered applications.

• You have strong technical skills in Python.

• You are adept at optimizing, refactoring, and improving Python code, ensuring our systems are efficient, scalable, and maintainable

Nice to Haves:

• Hands-on experience with cloud platforms (GCP).

• Demonstrated interest in advanced AI topics such as Reinforcement Learning (RL).

• Familiarity with processing multi-modal data (audio and video).

• Familiarity with Agile development methodology and collaboration tools (e.g., JIRA) for task management and sprint planning.

Job Summary

Develop and execute comprehensive test cases to validate software functionality and quality. Perform manual, functional, regression, and exploratory testing to identify defects and ensure product reliability. Report and document technical issues clearly to support timely resolution. Prepare and maintain detailed testing documentation to support quality assurance processes.

Responsibilities

• Develop and execute detailed test cases to validate software features and performance
• Perform manual testing to verify software functionality against requirements
• Conduct functional testing to assess specific features and workflows
• Execute regression testing to ensure new changes do not impact existing functionality
• Carry out exploratory testing to identify unexpected issues and improve product robustness
• Report and document technical issues with clear descriptions to facilitate debugging and resolution
• Prepare and maintain comprehensive testing documentation to support quality assurance and audit requirements
• Collaborate with development and product teams to ensure software meets quality standards

Preferred competencies and qualifications

• Currently pursuing or graduated with a degree in Computer Science or a related field
• Previous experience in Quality Assurance or software testing roles is advantageous
• Familiarity with Jira or similar issue tracking tools is a plus
• Prior hands-on testing experience is beneficial

We are supporting a diversified global organisation in identifying an experienced Internal Audit Lead to head its internal audit function and provide independent assurance to senior leadership on the effectiveness of governance, risk management, and internal controls.

Responsibilities:

• Oversee and execute the organisation’s internal audit plan, covering strategic, operational, financial, compliance, and technology-related areas.
• Lead audits, investigations, advisory reviews, and special assignments, ensuring high-quality and timely delivery.
• Ensure proper planning, execution, and reporting of audits, including presentation of findings and recommendations to senior management and the Board/Audit Committee.
• Build strong working relationships with stakeholders across the business to support continuous improvement in governance and controls.
• Manage and mentor the audit team, fostering technical capability, professional development, and a collaborative work culture.
• Drive the adoption of data analytics and other audit technologies to enhance audit effectiveness.
• Oversee the intake, assessment, and investigation of internal concerns or integrity-related matters in line with organisational policies.

Requirements:

• Degree in Accounting, Business, Finance, Engineering, or other relevant disciplines.
• Professional certifications in audit, risk, or assurance (e.g., CIA, CPA, CA, CISA) are advantageous.
• Minimum 10 years of internal audit, risk, or compliance experience, including leadership responsibilities.
• Proven ability to lead complex audits and manage multiple projects concurrently.
• Strong stakeholder management skills, with the ability to challenge constructively and influence decision-making.
• Self-driven, adaptable, and comfortable engaging with senior leaders on matters of high importance.
• Detail-oriented with strong analytical, communication, and report-writing capabilities.

As an AI Engineer Intern, you'll be part of a dynamic team focused on developing, refining, and deploying core AI features for our proprietary AI-driven products and solutions. You'll bridge the gap between AI research and application, translating innovative concepts into tangible, impactful features.

Key Responsibilities:

• Collaborate with cross-functional teams to design, develop, and implement AI features, focusing on areas like natural language processing, data analysis, and predictive modeling.

• Conduct research and rapid prototyping of the most suitable AI algorithms and techniques based on best practices, particularly those involving LLMs to address technical and business requirements.

• Write clean, well-tested, and well-documented code, contributing to efficient and maintainable system components.

• Contribute to the project's foundational knowledge by documenting the shared technical understanding and implementation details aligned with high-level business requirements and project goals.

Qualifications:

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence or a related field.

• You are a team player that enjoys collaborating and communicating with diverse groups.

• You enjoy tackling large challenges and enjoy discovering problems as much as solving them.

• You are able to problem solve and adapt to changing priorities in a fast-paced dynamic environment.

• Able to commit to a 6 months full time internship duration.

• This is a full work-from-office (WFO) internship.

Skills You’ll Need to Bring:

• You have built or prototyped features with AI technologies (LLMs, Embeddings, Fine-Tuning).

• You have experience in agentic frameworks (e.g., ADK, LangChain) for building LLM-powered applications.

• You have strong technical skills in Python.

• You are adept at optimizing, refactoring, and improving Python code, ensuring our systems are efficient, scalable, and maintainable

Nice to Haves:

• Hands-on experience with cloud platforms (GCP).

• Demonstrated interest in advanced AI topics such as Reinforcement Learning (RL).

• Familiarity with processing multi-modal data (audio and video).

• Familiarity with Agile development methodology and collaboration tools (e.g., JIRA) for task management and sprint planning.

About PV Doctor

PV Doctor Pte. Ltd is a spin-off from the Solar Energy Research Institute of Singapore (SERIS) at the National University of Singapore (NUS). PV Doctor Pte. Ltd. is an Asset Performance Management (APM) company which focuses on maximising solar PV assets performance and rectifying under-performing assets. The company manages thousand+ assets across Asia and beyond. It also offers other PV system-related services, including, but not limited to: Smart O&M (operation & maintenance), Preventive O&M, Rectifications & Special Investigations, Repowering, Audits & Performance Assessment, and General Technical Support.

We're looking for a Performance Engineer Intern to join our team, primarily supporting our Smart O&M services as we onboard more systems in Thailand. This role also offers exposure to our other key services with a focus on data analytics and performance optimization.

What You’ll Do

•  Assist in monitoring, analyzing, and improving PV system performance.

•  Work with real-time data from our growing portfolio, identifying underperformance and recommending solutions.

•  Support predictive maintenance strategies using advanced analytics.

•  Collaborate with the team to enhance Smart O&M processes.

•  Contribute to performance reports and customer insights.

•  Potentially assist in other areas, such as audits, repowering, and rectifications

What We Look For

•  Currently pursuing a diploma or degree in engineering or science (electrical, renewable energy, mechanical) or related fields.

•  Strong analytical skills and ability to work with performance data.

•  Passion for solar energy and optimization.

•  Proficiency in Excel, or Python and other data analysis tools is a plus.

•  Self-motivated and able to work remotely with minimal supervision.

Why Join Us

•  Work directly with a fast-growing startup and gain hands-on experience.

•  Be part of a mission-driven company accelerating solar adoption.

Other details

• Reporting to: Head of Performance Engineering
• Hybrid working arrangement
• Location: Singapore
• Working hours: Full-time preferred; part-time applications welcome
• Looking for interns to start internship period starting from May 2026 onwards for at least 3 months
• Interested applicants, please send your resume to careers@pv.doctor

Situated in the heart of Singapore's Central Business District, Rakuten Asia Pte. Ltd. is Rakuten's Asia Regional headquarters. Established in August 2012 as part of Rakuten's global expansion strategy, Rakuten Asia comprises various businesses that provide essential value-added services to Rakuten's global ecosystem. Through advertisement product development, product strategy, and data management, among others, Rakuten Asia is strengthening Rakuten Group's core competencies to take the lead in an increasingly digitalized world. For more information, visit https://global.rakuten.com/corp/about/.

The Software engineer intern will be part of the Ads Team at Rakuten , contributing to the development and optimization of ad delivery systems that power various Rakuten Group products, including Rakuten Ichiba, Rakuten Link, and Rakuten Super Point Screen. This Service is responsible for handling millions of ad requests every day handling huge volumes of Data. Once Joined, Intern will work on productivity and quality improvement tasks gaining hands-on experience with impactful projects.

Your main responsibility will be to understand and complete the tasks assigned.

• Understand the current system (web application)
• Develop new features using Java and Angular JS following the team’s software development life cycle.
• Write unit-tests and integration-tests.
• Create documents to capture the technical design decisions that you and other team members have made.

Qualifications:

• Curiosity and Passion for solving problems
• Basic of JavaScript, Angular and Java programming
• Familiarity with SQL or no-SQL technologies is a plus
• Familiarity with Spring Boot
• Positive attitude and excellent team player
• Good written and spoken communication skills.

Additional information:

• Internship duration: 6 months
• Internship period: May 2026 onwards

Rakuten is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief or age.