Senior AI Engineer - Multi Agent Orchestration

Hucon Solutions; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Hucon Solutions in Hyderabad is seeking an experienced AI engineer to architect multi-agent systems using LangGraph and LangChain. You will design robust prompting architectures, MCP-based RAG strategies, and production-grade Python services.

Qualifications

• Bachelor's or Master's degree in CS/AI or related field.
• 5+ years building AI/ML systems.
• 2+ years working with LLM-based applications in production.
• Expert-level Python with LangGraph and LangChain.
• Strong prompt engineering and RAG architecture expertise.

Responsibilities

• Architect and implement multi-agent orchestration patterns using LangGraph.
• Design prompting architectures and MCP-based RAG strategies for high-fidelity AI outputs.
• Conduct technical design reviews and establish engineering best practices for AI services.
• Mentor junior AI engineers in prompt engineering and production-quality Python.
• Collaborate with architects and product owners to integrate AI services with GitHub EU Cloud and Jira workflows.
• Evaluate foundation models for agent tasks, optimizing accuracy, latency, and cost.

Skills

Python

LangGraph

LangChain

Prompt engineering

RAG architectures

Distributed systems

Production AI

Technical leadership

Education

Bachelor's or Master's in CS/AI

Tools

Terraform

Kubernetes

Job description

Your responsibilities:

Architect and implement multi-agent orchestration patterns using LangGraph, designing skills-based workflows that power the Refinement, Decision, and Coding Agents across the Agent Chain platform.

Design and evolve prompting architectures and RAG strategies that achieve high-fidelity, reliable AI outputs grounded in application-specific knowledge bases via Model Context Protocol (MCP).

Conduct technical design reviews and establish engineering best practices for AI service development, ensuring compliance with EU AI Act, DORA, and internal DevSecOps standards.

Mentor junior AI engineers in the Hyderabad team on prompt engineering techniques, agentic design patterns, and production-quality Python development.

Collaborate closely with architects and product owners to translate architectural concepts into functional, scalable AI services integrated with GitHub EU Cloud and Jira workflows.

Evaluate and benchmark foundation models (Claude, GPT, Gemini) for specific agent tasks, optimising for accuracy, latency, and cost across the agent pipeline.

Your profile:

Bachelor's or Master's degree in Computer Science, AI, or a related field, with 5+ years of experience building AI/ML systems and at least 2 years working with LLM-based applications in production.

Expert-level Python programming skills with hands-on experience in LangGraph, LangChain, and modern AI orchestration frameworks for building multi-agent systems.

Deep expertise in prompt engineering, RAG architectures, and agentic workflow design, with a proven track record of delivering high-quality, reliable AI outputs at scale.

Strong working knowledge of foundation models (Anthropic Claude, OpenAI GPT, Google Gemini) including fine-tuning strategies, context window management, and model evaluation methodologies.

Demonstrated ability to lead technical discussions, and drive engineering standards within a distributed, cross-timezone team.

Nice-to-have: Experience with Model Context Protocol (MCP), DevSecOps toolchains (GitHub Actions, Terraform, Kubernetes), regulated financial environments, or German language skills.