Agentic AI Engineer

Lead Agentic AI Engineer

We are seeking a Lead Agentic AI Engineer with a strong software engineering foundation to design, build, and scale autonomous and semi-autonomous AI systems. This role goes beyond prompt engineering or isolated models—you will architect multi-agent systems that plan, reason, call tools, interact with enterprise systems, and operate safely at scale.

You will work on agent orchestration, RAG pipelines, tool-calling, memory, observability, and Agent Ops, while ensuring production readiness, compliance, and reliability.

Agentic AI System Design

• Design and implement multi-agent architectures including:
• Orchestrator / supervisor agents
• Task-specialized agents (research, extraction, validation, decisioning)
• Reflection, critique, and self-correction loops
• Build goal-driven agent workflows with constrained autonomy and human-in-the-loop patterns.
• Define agent boundaries, decision policies, and escalation logic.

LLM, RAG & Tooling

• Build enterprise-grade RAG systems:
• Ingestion, chunking, metadata enrichment
• Vector indexing and retrieval strategies
• Grounded generation and citation control
• Implement tool-calling agents that interact with:
• APIs, databases, search systems
• Internal platforms and workflows
• Optimize latency, cost, and accuracy across LLM interactions.

Production Engineering & Agent Ops

• Build agentic systems as scalable backend services (FastAPI / REST / async services).
• Apply strong software engineering discipline:
• Modular code, clean abstractions, testability
• CI/CD, versioning of prompts, tools, and agents
• Implement Agent Ops / LLMOps, including:
• Evaluation harnesses (prompt, retrieval, agent behavior)
• Observability (traces, metrics, decision paths)
• Rollback and controlled rollout strategies
• Ensure robustness against hallucinations, loops, tool failures, and unsafe actions.

Governance, Safety & Reliability

• Implement guardrails, policies, and monitoring for agent behavior.
• Design systems with traceability, auditability, and explainability.
• Ensure secure handling of sensitive data (PII/PHI where applicable).
• Enforce responsible-AI principles in autonomous systems.

Technical Leadership

• Lead design reviews and mentor junior engineers.
• Influence platform standards for agentic AI across teams.
• Partner with product managers, architects, and domain SMEs to translate workflows into agent behavior.

Strong Software Engineering Background (Must Have)

• 8–10 years of experience with backend/software engineering
• Expert in Python (primary) and API-based services
• Experience with distributed systems, microservices, async processing
• Strong understanding of system design, scalability, and performance

Agentic AI & GenAI Expertise

• Proven experience building agentic AI systems (not just chatbots)
• Hands-on with agent frameworks (e.g., Lang Chain / Lang Graph / equivalent)
• Strong understanding of:
• Tool-calling, planning, reflection
• Memory, state, and long-running agents
• Experience working with LLMs (cloud and/or open-source)

RAG & Data Engineering

• Production experience with vector databases
• Knowledge of embeddings, retrieval strategies, reranking
• Comfortable with structured + unstructured enterprise data

Platform & Ops

• Docker, CI/CD, cloud deployments (AWS / Azure / GCP)
• Experience with monitoring, logging, and production debugging
• Familiarity with MLflow or similar experiment tracking tools

Nice to Have

• Experience in healthcare, insurance, or regulated domains
• Exposure to AI governance, compliance, or risk frameworks
• Built internal AI platforms or reusable accelerators
• Prior experience tech-leading enterprise AI initiatives

• Cloud Data Warehousing
• Conflict Management
• Displaying Visionary Thinking
• Emotional Intelligence Training
• Enterprise Data Standards
• Governance Tools
• Leadership Capabilities
• SQL Analysis
• Strategic Growth
• Strategic Planning