Gen AI Engineer

• The candidate will be responsible for designing, building, and deploying agentic AI solutions using modern frameworks and LLM technologies. The role will focus on multi-agent orchestration, AI reasoning, tool integration, knowledge retrieval, and production-scale AI platforms., * Develop autonomous AI agents capable of planning, reasoning, and task execution.
• Build and orchestrate multi-agent workflows using LangGraph or similar frameworks.
• Integrate LLMs such as Claude/GPT through AWS Bedrock and other enterprise AI services.
• Develop MCP-based tools and integrations for APIs, document processing, search, analytics, and reporting.
• Build scalable Python services, APIs, ETL pipelines, and data integrations.
• Implement RAG, vector search, and knowledge retrieval solutions.
• Ensure observability, monitoring, auditability, security, and AI governance controls.
• Develop Human-in-the-Loop (HITL) workflows and validation mechanisms.

Mandatory Skills:

• Python, FastAPI, REST APIs
• LangGraph and Agentic AI frameworks (Claude Agent SDK, CrewAI, AutoGen, Semantic Kernel, etc.)
• Multi-Agent Systems and Workflow Orchestration
• Claude/GPT Models and AWS Bedrock
• Prompt Engineering and Context Engineering
• PostgreSQL, pgVector, Vector Databases, RAG
• AWS, Docker, ECS/EKS, CI/CD
• AI Governance, Monitoring, and Audit Controls

• MCP Server Development
• Knowledge Graphs
• Multi-modal Document Processing
• Agent Evaluation & Monitoring Frameworks
• Sustainability / Climate Data Platforms
• AWS Solution Architecture Certification

Experience:

• 3 years of GenAI/LLM engineering experience.
• Proven experience building production-grade AI agents and cloud-native platforms.
• Strong understanding of AI governance, risk controls, and enterprise deployment practices.