AVP : GenAI +ML Engineer (FullStack)

As a Senior Generative AI Engineer, you will be responsible for leading design, build and delivery of cutting-edge solutions in Generative AI (GenAI), Conversational AI, and Agentic AI systems. This role requires strong technical leadership, hands-on development expertise, and the ability to translate business needs into scalable AI solutions.

You will:

• 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.

Key Responsibilities

• 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.
• Innovation & Research: Stay ahead of AI trends, frameworks, and best practices; apply them to drive continuous innovation.
• Quality & Governance: Maintain system design integrity, review test strategies and ensure compliance with AI ethics and security standards.
• Optimize solutions through thorough research experimentation, and advanced problem-solving techniques.
• Communicate complex concepts and results effectively to both technical and non-technical stakeholders.

Required Skills & Qualifications

• Technical Expertise:
  • 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.

• Additional Skills:
  • Minimum of 8+ years of professional experience in financial services and technology firms.
  • 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.