Job Summary

We are looking for a technical expert who can design, build, and troubleshoot advanced AI solutions end‑to‑end.

Build and operate production-grade AI solutions for enterprise workflows, conversational copilots, and batch AI pipelines, combining LLMs, retrieval, classical NLP similarity, and enterprise integrations.

Must-Have

• Bachelor’s degree in computer science, Information Technology, or a related field.
• Experience with AI technologies and frameworks.
• Python engineering
• Data processing, model training, inference, API services, data pipelines, batching, testing.
• Build and deploy AI models and GenAI components across the AI lifecycle.
• Implement evaluation frameworks, monitoring, and quality assurance for AI systems.
• LLM experience
• Prompt/tool-calling patterns, structured outputs, validation.

Key Responsibilities

• Design AI copilots/agents with grounded responses, guardrails, memory, and fallbacks
• Build robust APIs and services integrating AI components with enterprise systems.
• Design and implement AI solutions using Azure AI services
• Foundry, Azure OpenAI, RAG, MCP and related services.
• Provide technical input on DevOps, CI/CD, networking, identity, and security configurations needed for AI workloads.
• Containerize and deploy workloads using Docker, serverless components, and Azure cloud services.
• Retrieval engineering (embeddings, vector indexes, reranking/hybrid scoring).
• Propose and implement improvements to enhance the performance and capabilities of existing AI solutions.
• Help troubleshoot complex issues in AI pipelines, agents, integrations, and cloud environments.

Nice to have

• Experienced with the Microsoft technology stack.
• Copilot Studio, Power Platform (Power Automate/Dataverse).
• Experiment tracking, CI/CD, evaluation, and monitoring.
• Implement retrieval systems: semantic + hybrid ranking
• Experience in LLM systems, retrieval architectures and applied ML for data quality and automation.