Description

You will design, build, and lead the development of production-grade AI applications, including LLM, Generative AI, and Agentic AI systems. You will own the end-to-end engineering lifecycle, from system design and API development to deployment and monitoring.

This role is on-site.

Responsibilities

• Architect and implement scalable AI services using Python, FastAPI, or Flask.
• Develop Retrieval-Augmented Generation (RAG) pipelines and Agentic workflows using LangChain and LangGraph.
• Design and optimize REST APIs, asynchronous programming structures, and database integrations (SQL).
• Containerize and orchestrate services using Docker and Kubernetes.
• Establish CI/CD pipelines with Jenkins or GitHub Actions and implement observability via OpenTelemetry, Grafana, and Prometheus.

Required Skills

• 8+ years of software engineering experience.
• Strong proficiency in Python and asynchronous programming.
• Hands-on experience with AI/LLM frameworks: LangChain, LangGraph, RAG.
• Experience with containerization and orchestration: Docker, Kubernetes.
• Knowledge of message streaming and caching: Kafka, Redis.
• Proficiency in CI/CD tools: Jenkins, GitHub Actions.
• Experience with monitoring and observability: OpenTelemetry, Grafana, Prometheus.

Preferred Skills

• Bachelor's or Master's degree in Computer Science or equivalent.
• Experience with system design and technical leadership.

Key Skills

Education

Bachelor's or Master's degrees