We are looking for an Applied AI Engineer to build and ship AI features under the technical leadership of our Senior AI Lead. You will write production code every day and grow quickly in Agentic AI and RAG.
Responsibilities
Develop RAG pipelines and AI agent components according to the defined architecture
Build integrations between LLMs and internal data sources, APIs and tools
Write evaluation tests and help measure accuracy and quality
Deploy, monitor and improve features in production
Work within code reviews and team standards
Requirements: Requirements - Must have
2-4 years of hands-on software development in Python
At least 1 hands-on project with RAG or AI Agents (production, pilot or substantial personal project)
Experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic or open-source models)
Familiarity with at least one framework: LangChain, LangGraph, LlamaIndex or similar
Working knowledge of APIs, Git, Docker and SQL
Advantages
Vector databases (Pinecone, Qdrant, pgvector, etc.)
Cloud experience (AWS / Azure / GCP)
Active GitHub with LLM projects, hackathon participation
B.Sc. in Computer Science, Software / data Engineering or equivalent
This position is open to all candidates.