Backend Engineer (AI/Python)
Posted Updated
Summary
Backend Engineer building Python services and APIs for ML/GenAI applications (LLMs, RAG, vector databases, AI agents) with deployment in cloud/GCC environments.
Location: Central
Key Responsibilities- Develop Python backend services and APIs supporting machine learning and Generative AI applications.
- Build and integrate LLM, RAG, prompt workflows, AI agents, vector databases, and model pipelines.
- Test and evaluate AI solutions for accuracy, reliability, safety, bias, and performance.
- Implement Responsible AI controls, including guardrails, audit logging, access controls, and human oversight.
- Deploy and support AI solutions in cloud/GCC environments, working with DevOps, security, data, and platform teams.
- Monitor and troubleshoot model performance, hallucination risks, integrations, and production issues.
- Degree in Computer Science, Software Engineering, IT, or a related field with min. 1-2 years of relevant experience.
- Strong hands‑on experience in Python, backend/API development, and AI/ML frameworks.
- Experience with LLMs, prompt engineering, RAG, embeddings, vector databases, or AI agents would be advantageous.
- Understanding of MLOps/LLMOps, model evaluation, monitoring, logging, and production support.
- Familiarity with AWS/GCC, CI/CD, DevSecOps, Responsible AI, security, and data privacy.
- Strong troubleshooting, communication, and documentation skills.
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