Overview:
ROLE: Lead AI Engineer
"LOCAL ONLY"
Key Skills Required:
3-5+ years of experience in
AI, Machine Learning, or related fields
with production-grade applications
Hands-on experience building
Agentic AI applications
(minimum 1 year)
Strong proficiency in
Python
Experience with
LangGraph, LangChain, and LLMs
(GPT, Claude, LLaMA)
Expertise in
Prompt Engineering
and AI application development
Experience with
Azure AI Foundry, AWS Bedrock, or Google Gemini Enterprise
Knowledge of
REST APIs, WebSockets, and event-driven architectures
Experience with
Jenkins, Git, Jira, and Confluence
Exposure to
AI-assisted development tools
such as Claude Code or Codex
Experience with enterprise AI deployments and data integration for Agentic AI applications
Good to Have:
Databricks
MLOps/LLMOps
AI security, governance, and compliance
Model lifecycle management and monitoring
Key Responsibilities:
Design, build, and deploy Agentic AI and multi-agent systems using LangGraph and LangChain.
Develop and optimize prompt engineering workflows across multiple LLMs.
Build scalable real-time AI services using REST APIs and WebSockets.
Implement CI/CD pipelines and ensure high code quality.
Collaborate with platform, security, and product teams to deliver enterprise-grade AI solutions.
If you're interested, please share the following details: