- Required Skills
- Strong hands-on experience with LangChain and LangGraph.
- Expertise in designing and implementing Multi-Agent Orchestration frameworks.
- Robust experience in MCP (Model Context Protocol) Server Development.
- Hands-on experience with Langfuse for observability and monitoring.
- Experience in setting up and managing LLM Evaluations (Evals).
- Proven experience in developing AI agents and successfully taking them to production environments.
- Strong understanding of Large Language Models (LLMs), prompt engineering, and agentic AI architectures.
- Experience integrating AI agents with enterprise applications and APIs.
- Knowledge of AI model monitoring, debugging, performance optimization, and scalability.
- Experience with Python and modern AI development frameworks.
- Familiarity with cloud platforms such as Azure, AWS, or GCP is an added advantage.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent communication and collaboration abilities.

- Roles Responsibilities
- Design, develop, and deploy enterprise-grade GenAI applications and AI agents.




- Build and manage scalable multi-agent workflows using LangChain and LangGraph.
- Develop and maintain MCP servers for AI agent communication and orchestration.
- Implement observability and monitoring using Langfuse.
- Configure and execute LLM evaluation frameworks to measure model performance and quality.
- Deploy AI agents into production and ensure reliability, scalability, and performance.
- Integrate GenAI solutions with enterprise systems and external APIs.
- Optimize prompts, workflows, and agent performance for business use cases.
- Collaborate with cross-functional teams to design innovative AI-powered solutions.
- Follow best practices for AI governance, security, and production deployment.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 GenAI Engineer (Karnataka)
🏢 Stack Digital
📍 Karnataka