Description

Design, develop, and deploy AI agents and orchestrated workflows.

This role is hybrid.

Responsibilities

• Build Python-based backend services and automation pipelines.
• 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 software engineering experience with a strong focus on Python.
• Practical experience with LangGraph and agent orchestration tools.
• Strong understanding of Agent Development Kits (ADK) and LLM application development.
• Experience integrating LLMs, vector databases (Pinecone, Chroma, FAISS), and retrieval pipelines.
• Solid understanding of API development, backend systems, and distributed architectures.
• Proficiency in Docker, Terraform, and modern DevOps workflows.
• Experience with cloud platforms including GCP, AWS, and Azure.

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