AI EngineerIntellectt Inc • Delhi, India

AI Engineer

Intellectt Inc • Delhi, India

12 days ago

Job description

About the Role

We are seeking a highly skilled Agentic AI Engineer to architect, develop, and operationalize advanced agentic AI systems for enterprise-grade, healthcare-focused applications. This role requires deep technical expertise in Python, agentic AI frameworks (LangChain, LangGraph, AutoGen), RAG pipelines, and LLM integration. You will design multi-agent systems, build intelligent automation workflows, and ensure compliance with healthcare and enterprise governance standards.

Key Responsibilities

1.Agent Development & Architecture

Design and implement autonomous AI agents using frameworks such as LangChain, LangGraph, AutoGen, or equivalent tools.
Build scalable multi-agent systems capable of advanced reasoning, decision support, workflow automation, and secure tool usage.
Develop agent memory systems, state management, and safe orchestration patterns to support complex, long-running workflows.
Implement tool-use capabilities, structured decision-making, and chained reasoning for enterprise-grade workloads.

2. RAG & LLM Engineering

Architect and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases (Pinecone, FAISS, Chroma, etc.).

Implement embeddings workflows, retrieval logic, chunking strategies, and context management techniques.

Perform LLM integration, fine-tuning, domain alignment, and safety enhancement (toxicity filtering, bias mitigation, guardrails).

Develop prompt engineering frameworks, dynamic prompt chaining, and context-aware LLM orchestration.

3. Application & System Development

Build robust Python-based microservices, APIs, and orchestration layers for agent interactions and inference flows.

Containerize and deploy AI systems using Docker / Podman and cloud-native architectures (Kubernetes or equivalent).

Ensure high availability, performance optimization, and reliability across AI services and pipelines.

Create secure and scalable backend components enabling real-time inference and agent coordination.

4. Governance, Observability & Compliance

Implement telemetry, monitoring, and observability for agent behavior and LLM performance using OpenTelemetry, Prometheus, ELK, or similar tools.

Conduct model evaluation, safety checks, robustness tests, and audit procedures for agentic workflows.

Operate within enterprise AI governance frameworks to ensure compliance with HIPAA, PHI protection, data security, and responsible AI guidelines.

5. Cross-Functional Collaboration

Collaborate closely with Data Science, MLOps, Cloud Engineering, Compliance, and Product teams.

Participate in architecture reviews, technical design discussions, sprint planning, and roadmap development.

Document technical decisions, system architectures, and operational best practices.

Required Skills & Qualifications

Technical Expertise

Strong proficiency in Python (advanced programming, clean architecture, asynchronous programming, API development).

Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, AutoGen, or similar tools.

Solid understanding of RAG, embeddings, vector databases, retrieval strategies, and memory systems.

Deep knowledge of LLMs, model integration, guardrails, and prompt engineering best practices.

Experience with containerization (Docker, Podman) and cloud deployment workflows.

Familiarity with monitoring and observability tools (OpenTelemetry, Prometheus, Grafana, ELK).

Understanding of AI security, governance, compliance, and enterprise deployment standards.

Soft Skills

Excellent debugging, analytical thinking, and problem-solving abilities.

Strong communication and documentation skills.

Ability to work collaboratively within cross-functional and multi-disciplinary teams.

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Ai Engineer • Delhi, India

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