Senior AI Engineer - Multi Level Orchestration

Hucon Solutions; Hyderabad; On-site; INR 1,500,000 - 1,900,000; Full time

Job summary

Hucon Solutions in Hyderabad is seeking an experienced AI/ML architect to design multi-agent orchestration patterns using LangGraph and LangChain, powering the Agent Chain platform with skills-based workflows.

You will mentor engineers, collaborate with Germany-based architects, and push forward prompt engineering, RAG architectures, and production-grade Python development.

Qualifications

• 5+ years building AI/ML systems and 2+ years working with LLM-based applications in production.
• Expert-level Python programming for AI service development.
• Deep expertise in prompt engineering, RAG architectures, and agentic workflow design.
• Strong knowledge of foundation models (Claude, GPT, Gemini) including fine-tuning and context management.
• Experience leading technical discussions in distributed, cross-timezone teams.

Responsibilities

• Architect and implement multi-agent orchestration patterns powering AI services.
• Design and evolve prompting architectures and MCP-based knowledge grounding.
• Conduct engineering reviews and enforce DevSecOps standards.
• Mentor junior AI engineers in Hyderabad team.
• Collaborate with Germany-based architects and product owners.
• Evaluate and benchmark foundation models for accuracy, latency, and cost.

Skills

Python programming

LangGraph

LangChain

LLM orchestration

Prompt engineering

RAG architectures

Team leadership

Cross-timezone collaboration

Model evaluation

Education

Bachelor's or Master's in CS/AI

Tools

GitHub Actions

Terraform

Kubernetes

Jira

GitHub EU Cloud

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 Germany-based 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