Sr.Associate - GenAI Engineer

Overview

Design, build and maintain enterprise-grade Generative AI and Agentic AI applications, translating business requirements into scalable AI solutions.

What you'll do

• Design, develop, test, and maintain enterprise-grade Generative AI and Agentic AI applications.
• Translate business requirements into scalable AI solutions and contribute to technical roadmaps.
• Develop proof-of-concepts, feasibility studies, and solution prototypes for AI use cases.
• Build intelligent agents and multi-agent workflows using Python, LangChain, and LangGraph.
• Develop reusable AI services, APIs, tools, and orchestration components.
• Design RAG solutions using structured and unstructured enterprise data.
• Implement prompt engineering, context management, agent memory, state management, and tool calling.
• Develop evaluation frameworks covering accuracy, relevance, groundedness, safety, and agent performance.
• Ensure AI solutions are modular, scalable, secure, reliable, observable, and maintainable.
• Integrate AI applications with enterprise systems, databases, knowledge repositories, and CI/CD pipelines.
• Troubleshoot issues and optimize AI solutions for quality, performance, and cost.
• Collaborate with cross-functional teams and follow Responsible AI, security, privacy, and governance standards.

What you'll need

• Strong expertise in Python programming and AI application development.
• Hands-on experience with Generative AI, Large Language Models, and Agentic AI solutions.
• Strong working knowledge of LangChain, LangGraph, or similar agent-orchestration frameworks.
• Good understanding of prompt engineering, context engineering, structured outputs, and function/tool calling.
• Experience with agent memory, workflow state, session management, checkpointing, and multi-agent orchestration.
• Strong knowledge of RAG, embeddings, vector databases, semantic search, chunking, retrieval, and reranking techniques.
• Experience with LLM and agent evaluations, including groundedness, relevance, accuracy, safety, trajectory, and task-completion assessment.
• Experience developing REST APIs, microservices, and cloud-based applications.
• Hands-on experience with Git, CI/CD pipelines, automated testing, and DevOps practices.
• Knowledge of AI observability, tracing, monitoring, token usage, latency, and cost optimization.
• Familiarity with Azure OpenAI, Azure AI Search, Azure AI Services, or equivalent cloud AI platforms.
• Understanding of Responsible AI, data privacy, application security, content safety, and governance controls.
• Good understanding of SDLC, Agile development practices, and engineering standards.
• Ability to work independently and collaboratively within cross-functional teams.
• Strong analytical, debugging, and problem-solving skills.
• Ability to balance implementation details with broader architectural and business considerations.
• Self-starter with a positive, adaptable, and continuous-learning mindset.
• Strong communication skills with the ability to engage effectively with technical and business stakeholders.
• 5 to 7 years of relevant software engineering, AI Engineering, Data Engineering, Machine Learning, or related experience.
• Hands-on experience designing and delivering GenAI, Agentic AI, or intelligent automation solutions.
• B.E./B.Tech/M.E./M.Tech/MCA or equivalent degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.

Nice to have

• Data Science, Machine Learning, MLOps, Statistical Analysis.
• Good-to-have knowledge of Data Science, Machine Learning, statistical analysis, data preparation, model evaluation, and MLOps.

Details

• Location: Pune, India.