Senior AI Engineer

About the role

We are looking for a hands‑on AI Engineer who can turn business problems into secure, reliable and scalable digital solutions. You will design, build, ship and continuously improve AI‑enabled products that integrate with enterprise data, APIs and operational systems.

Key responsibilities

• Build and ship production‑grade AI‑enabled applications from prototype to deployment, owning quality, reliability and ongoing improvement.
• Design applied AI architectures such as LLM applications, AI agents, retrieval‑augmented generation services and document‑intelligence workflows.
• Develop robust backend services in Python, create scalable APIs and microservices, and implement asynchronous processing for high‑volume workloads.
• Integrate AI models with enterprise platforms, data sources, workflow systems and user interfaces.
• Engineer trust by adding automated testing, monitoring, guardrails, security controls and human‑review fallback paths.
• Operate and monitor solutions in production, troubleshooting performance, latency and cost issues.

Required profile

• 5‑8 years of hands‑on software, data or AI engineering experience with demonstrable delivery of production AI products.
• Strong Python engineering skills and experience building maintainable backend services, APIs and microservices.
• Hands‑on experience with FastAPI or a comparable Python API framework.
• Practical experience delivering GenAI or LLM solutions such as RAG pipelines, AI agents or document‑intelligence workflows.

Required skills

• Python
• FastAPI
• LangGraph, LangChain, LlamaIndex
• Azure Service Bus, Celery, Redis
• Azure or AWS cloud services, containers, CI/CD, infrastructure‑as‑code
• SQL databases, version control (Git)
• Embeddings, vector databases, retrieval‑augmented generation