GenAI / AI Engineer

About the Role

We are hiring two Generative AI Engineers to build intelligent features, orchestrate model pipelines, and implement production-grade AI features. You will design retrieval-augmented generation (RAG) structures, fine-tune models, and deploy high-performance endpoints.

Key Responsibilities

• Architect and optimize RAG pipelines utilizing vector databases and semantic indexing systems.
• Deploy and configure custom large language models (LLMs) and embeddings parameters.
• Build backend APIs (FastAPI/Python) to route agent parameters, manage sessions, and stream outputs.
• Track and mitigate model issues, minimizing errors, prompt injections, and token costs.
• Collaborate with product squads to identify, design, and validate AI enablement opportunities.

Required Qualifications

• 4+ years of software engineering experience, with 2+ years dedicated to AI/ML model integrations.
• Proficient in Python, including libraries like LangChain, LlamaIndex, PyTorch, and Hugging Face.
• Experience configuring and querying production vector databases (Pinecone, Chroma, pgvector).
• Practical experience managing LLM parameters, chunking logic, and semantic architectures.
• Masters or Bachelors in Computer Science, Data Science, or related engineering focus.