Applied AI Engineer

Agentic AI Engineer

About the role We're looking for a Junior GenAI Engineer to help build and ship LLM-powered agentic systems for enterprise clients. You'll work alongside senior engineers on real production workloads — prototyping agents, wiring up integrations, and learning how to take AI features from idea to deployment. This is a hands-on, build-first role for someone early in their career who wants to go deep fast.

What you'll do

• Build and iterate on LLM-powered features: prompt design, RAG pipelines, and agent workflows
• Integrate models and tools using APIs (Anthropic, OpenAI, etc.) and frameworks like MCP or LangChain
• Write clean, testable Python; debug async code and API integrations
• Help containerize and deploy services (Docker, basic Kubernetes exposure a plus)
• Run evals and quality checks on agent/LLM outputs and help improve reliability
• Collaborate with senior engineers and contribute to code reviews

Must-have

• 0–1 years of experience (internships, strong personal/open-source projects count)
• Solid Python fundamentals, including comfort with async/await
• Working understanding of how LLMs and prompting work
• Basic familiarity with REST APIs and Git
• Curiosity, fast learning, and a bias toward building over theorizing

Nice-to-have

• Exposure to RAG, vector databases, or embeddings
• Hands-on with any agent framework (MCP, LangChain, Agentforce, Bedrock, etc.)
• Docker / Kubernetes basics
• Experience calling LLM APIs in a real project