Description

You will design, develop, and deploy AI agents and orchestrated workflows.

Responsibilities

• Design and deploy AI agents and orchestrated workflows using LangGraph and ADK frameworks.
• Build Python-based backend services, automation pipelines, and LLM integrations.
• Develop RAG pipelines, memory architectures, and vector-store integrations.
• Implement CI/CD pipelines, testing frameworks, and monitoring for AI applications.
• Optimize system performance, latency, and cost across AI pipelines.

Required Skills

• 5+ years of hands-on software engineering experience with strong focus on Python.
• Practical experience with LangGraph and agent orchestration tools.
• Strong understanding of Agent Development Kits (ADK) and LLM application development.
• Experience building and integrating LLMs, vector databases (Pinecone, Chroma, FAISS), and retrieval pipelines.
• Solid understanding of API development, backend systems, and distributed architectures.
• Experience with Docker, containerized environments, and modern DevOps workflows.
• Proficiency in Python, Terraform, Docker, GCP, AWS, and Azure.
• Strong problem-solving abilities and excellent communication skills.

Preferred Skills

• Experience with cloud platforms such as GCP, AWS, or Azure (Vertex AI preferred).
• Familiarity with event-driven architectures or workflow engines.

Key Skills

Education

Any Gradute