Gen AI and ML Engineer

• Own the end-to-end product lifecycle for Generative AI, Agentic AI, AI/ML solutions, from design to deployment.

• Act as a bridge between business and technology teams, ensuring alignment of requirements and technical specifications.

• Enable data-driven insights and AI-powered automation for Conversational AI, GenAI, and ML use cases.

• Design & Implement Agentic, GenAI Solutions: Build robust Generative AI and Agentic AI applications using AWS Bedrock, SageMaker, and other AWS ML services.

• Develop LLM bases Use Cases: Architect and implement LLM based use cases like RAG, Summarization, data analysis etc. for enterprise-scale applications.

• LLM Finetuning & Evaluation: Fine-tune, evaluate, and optimize Large Language Models (LLMs) for performance, accuracy, and safety.

• Integration & Collaboration: Work closely with product managers, engineers, and UX teams to embed AI capabilities into business workflows.

• Strong proficiency in Python around Agentic, GenAI and framework such as LangChain, LangGraph,  CrewAI, Langfuse etc.

• Hands-on experience with AWS ML ecosystem (Bedrock, SageMaker, Lambda, API Gateway).

• Deep understanding of AI Agents, Agentic architecture, Generative AI, LLMs, NLP, and Conversational AI.

• Deep understanding of Prompt engineering and Prompt management, refining and optimizing prompts to enhance the outcomes of Large Language Models (LLMs).

• Experience with Database technologies like SQL, NoSQL and vector databases (e.g., DynamoDB, PGVector, CromaDB, FAISS etc.)

• Proficiency with developing solutions on cloud platform preferably AWS platform.

• Good Engineering experience with large-scale AI/ML systems.

Some other highly valued skills include:  

• Knowledge of REST APIs, JSON/XML, CI/CD tools (Jenkins), and cloud-native architectures.

• Strong communication and stakeholder management skills.

• Ability to lead technical teams and mentor junior developers.

• Ability to lead mid-size technical teams and mentor junior developers.

  • Bachelor’s degree in computer science, Information Technology or Engineering is required.