Total 4 Others level Engineering job vacancies in Mumbai

Job Description: Prompt Engineer

About the Role

We are looking for a highly creative and analytical Prompt Engineer to join our team. You will design, test, and optimize prompts for large language models (LLMs) to improve accuracy, efficiency, and usability of AI-driven applications. The role requires a mix of technical knowledge, problem-solving skills, and domain understanding to bridge human intent with AI capabilities.

Key Responsibilities

• Design, develop, and refine prompts for AI/LLM applications to ensure high-quality and contextually accurate outputs.
• Collaborate with product, engineering, and data teams to integrate prompt strategies into applications and workflows.
• Conduct A/B testing and evaluate prompt effectiveness across different scenarios.
• Maintain a knowledge base of reusable prompt templates and frameworks.
• Stay updated with advancements in generative AI, Agentic AI, prompt engineering techniques, and tooling
• Analyze outputs, debug issues, and propose prompt modifications for continuous improvement

Required Skills & Qualifications

• Strong understanding of large language models (LLMs) such as GPT, Claude, LLaMA, or similar.n
• Understanding of Agentic frameworks specifically of LangChain, LangGraph
• Experience with prompt design, chaining, and optimization.
• Proficiency in at least one programming language (Python preferred).
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work in cross-functional teams and translate business needs into AI solutions.

Role Overview

As an AI Engineer focused on Generative and Agentic AI, you will design, build, deploy, and operate production-ready AI systems, taking ideas from early prototypes through to reliable, enterprise-grade solutions. You will work hands-on with real customer and internal use cases, owning the full lifecycle from design and orchestration to deployment, monitoring, and continuous improvement.

The role emphasizes building intelligent systems that can reason, plan, use tools, and make decisions, rather than standalone models or simple chatbots. You will apply modern Generative AI techniques and strong software engineering practices to deliver real-world AI outcomes on a scale.

Key Responsibilities

• Experience needed 5-7 years
• Generative & Agentic AI Development
• · Design and build LLM-based systems using:
• o Retrieval Augmented Generation (RAG)
• o Embeddings and vector search
• o Prompt engineering and prompt optimization
• o Function calling and tool usage
• o Agentic and multi-agent workflows
• · Develop AI systems that integrate LLMs with REST APIs, enterprise systems, data platforms, and workflows
• · Apply LLM evaluation techniques to assess quality, reliability, safety, and performance
• End-to-End AI Engineering
• · Own the full lifecycle of AI solutions—from prototype to production
• · Build, deploy, and operate AI workloads in AWS environments
• · Ensure production readiness with focus on scalability, reliability, performance, security, and cost optimization
• · Implement CI/CD pipelines, automated testing, and versioning for AI systems
• Engineering Excellence & Operations
• · Apply strong software engineering and distributed systems principles to AI development
• · Implement observability practices including logs, metrics, traces, and alerts
• · Monitor model behavior, system health, latency, and failures in production
• · Contribute to responsible AI practices, governance, and quality standards
• Collaboration & Enablement
• · Work closely with other AI engineers, data scientists, platform teams, and business stakeholders
• · Contribute to building and scaling AI platforms and reusable components
• · Support low-code / Copilot / Flow-style solutions where appropriate
• · Share knowledge and mentor junior engineers on Generative and Agentic AI best practices

The Role

We are looking for a Senior Data Engineer to join Version 1’s Data & AI Practice, working on modern data platforms for enterprise and regulated clients. You will be a hands‑on engineer with strong production experience, contributing to the design, build, and operation of scalable, cloud‑native data solutions that enable analytics and AI at scale.

This is a delivery‑focused role for an experienced engineer who enjoys solving complex data challenges, takes ownership of outcomes, and applies strong engineering discipline in real‑world environments.

What You’ll Be Doing

• · Designing, building, and operating reliable data pipelines using modern ETL/ELT approaches
• · Engineering cloud‑native data platforms, primarily on AWS (with Azure exposure where required)
• · Working with technologies such as Databricks, PostgreSQL, Aurora, and distributed processing frameworks
• · Ensuring solutions are production‑ready: secure, tested, observable, and cost‑efficient
• · Optimising data performance, reliability, and data quality in live environments
• · Collaborating with analysts, data scientists, AI engineers, and platform teams
• · Mentoring junior engineers and contributing to shared standards and accelerators

Key Responsibilities

• Look for 7-10 years of experience in Devops and AWS.
• Design, build, and maintain cloud-native applications using AWS serverless services (e.g., Lambda, API Gateway, DynamoDB, SQS, Cognito, CloudWatch).
• Manage and operate AI/ML Platform on AWS
• Develop infrastructure as code using AWS CDK or similar tools (e.g., Terraform, CloudFormation).
• Able to build front/back-end solutions
• Contribute to event-driven and microservices architectures.
• Collaborate with cross-functional teams, support DevOps processes (CI/CD pipelines, configuration management), and troubleshoot issues across the stack.