AI Engineer

About the role

Quantum Bits (Qbits) is seeking an AI Engineer to build practical AI products that power real‑world business applications. You will work on conversational AI, intelligent automation, and production‑grade systems used by customers.

Key responsibilities

• Build and integrate LLM‑powered applications and AI agents.
• Develop chatbots, automation workflows, and RAG pipelines using embeddings, vector databases, and knowledge bases.
• Design prompts, guardrails, memory structures, and conversation flows.
• Deploy, monitor, and improve AI services in production.
• Collaborate with backend, frontend, and DevOps teams.

Required profile

• 2–3+ years of software/AI development experience.
• Strong Python development skills, including async programming.
• Ability to translate business requirements into working AI solutions.
• Solid problem‑solving and debugging abilities.

Required skills

• Python (async), FastAPI or similar API frameworks.
• RAG, embeddings, vector databases, LangChain, LlamaIndex.
• PostgreSQL and SQLAlchemy (or similar ORM).
• Docker, GitHub Actions, CI/CD pipelines.
• Experience with Google Vertex AI / Gemini, AWS Bedrock, Redis, and queue‑based/event‑driven systems.
• Familiarity with LLM observability tools such as Langfuse or OpenTelemetry.