Description

You will design and deploy generative AI systems, focusing on LLM integration, agent frameworks, and scalable infrastructure.

This role is hybrid.

Responsibilities

• Build and maintain AI agents using LangChain and LangGraph.
• Develop high-performance APIs with Python (FastAPI/Flask) and microservices.
• Implement vector databases, embeddings, and retrieval-augmented generation (RAG) pipelines.
• Manage containerized deployments using Kubernetes, OpenShift, Helm, and Docker.
• Monitor system health and performance with Prometheus, Grafana, and OpenTelemetry.

Required Skills

• 7+ years of experience in software engineering.
• Strong proficiency in Python and REST API development.
• Hands-on experience with Generative AI, LLMs, and AI agent frameworks.
• Deep knowledge of Kubernetes and OpenShift orchestration.
• Experience with GitOps, Helm, Docker, and CI/CD pipelines.
• Proficiency with Kafka, Redis, and SQL/NoSQL databases.
• Understanding of vector databases and embedding techniques.

Preferred Skills

• Experience with OpenShift-specific deployment patterns.
• Familiarity with OpenTelemetry for distributed tracing.

Key Skills

Education

Bachelor's degree