Description

You will contribute to moderately complex initiatives in Software Engineering, focusing on large-scale planning and deliverables.

Responsibilities

• Develop and optimize LLM-driven autonomous agents, multi-agent systems, and tool-using agent workflows.
• Build high-performance Python microservices and AI APIs.
• Review and analyze complex Software Engineering challenges, providing in-depth evaluations and solutions.
• Deploy and operate AI solutions on cloud platforms like GCP and Kubernetes.

Required Skills

• 5+ years of Software Engineering experience.
• Proficiency in Python, including async programming, APIs, microservices, and distributed systems.
• Experience with GCP and OpenShift/Kubernetes for deploying scalable AI platforms.
• Knowledge of RAG pipelines, embeddings, vector search, and LLM orchestration.
• Experience building AI APIs and using frameworks like LangChain and Flask.
• Familiarity with Microservices architecture.
• Ability to work independently while driving AI innovation.

Key Skills

Education

Any Graduate