Description

You will design and build agentic AI systems using TypeScript, Python, and Go on AWS and GCP.

Responsibilities

• Integrate commercial and open-source LLMs into agentic workflows.
• Develop distributed, event-driven architectures using Kafka and Kubernetes.
• Implement orchestration frameworks like LangGraph, LangChain, and Airflow.
• Manage model-level tasks including embeddings, fine-tuning, and inference with PyTorch and Hugging Face.
• Enforce strong schema, validation, and state management using Pydantic and Zod.

Required Skills

• 5+ years of experience in software engineering.
• Proficiency in TypeScript, Python, and Go.
• Experience with REST and gRPC APIs.
• Cloud infrastructure skills on AWS and/or GCP.
• Knowledge of distributed systems and event-driven architectures.
• Familiarity with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI.
• Ability to judge when to use frameworks versus building lightweight primitives.
• Exposure to TensorFlow alongside PyTorch.

Preferred Skills

• Experience with Kubernetes orchestration.
• Strong judgment in framework selection for agentic workflows.

Key Skills

Education

Any Gradute