Title: AI Engineer

Location: Hyderabad

Job Type: Full-Time

Experience: 10+ Years

Job Overview

We are seeking a highly experienced AI Engineer to lead the design, development, and delivery of enterprise-scale Generative AI and Machine Learning solutions. The ideal candidate will have strong hands-on expertise in LLMs, RAG, agentic AI, conversational AI, Azure OpenAI, Azure AI Foundry, and modern AI/ML engineering practices.

This role will work closely with engineering teams, product leaders, architects, and business stakeholders to translate business requirements into secure, scalable, and production-ready AI solutions.

Key Responsibilities

- Architect, design, and deliver scalable Generative AI and Machine Learning solutions across the full project lifecycle, from proof of concept and experimentation through production deployment and optimization.
- Design and build enterprise-grade conversational AI platforms, including RAG-based applications and agentic workflows using Azure OpenAI, Azure AI Foundry, and Azure AI services.
- Apply advanced prompt engineering, embeddings, vector search, fine-tuning, context management, and tool/function calling techniques to optimize LLM-based solutions.
- Design and implement AI/ML systems with feedback loops, automated retraining, evaluation, and fine-tuning pipelines to continuously improve model accuracy and relevance.
- Implement Retrieval-Augmented Generation (RAG) architectures to ensure AI responses are accurate, contextual, and grounded in approved enterprise data sources.
- Build and maintain CI/CD pipelines, observability, monitoring, and lifecycle management for AI/ML and LLM workloads in production.
- Stay current with advancements in LLMs, agentic AI, and AI orchestration, including few-shot learning, structured outputs, Model Context Protocol (MCP), and modern Agent SDKs/frameworks.
- Define AI success metrics aligned with business objectives and continuously evaluate and improve model quality, accuracy, latency, reliability, and overall system performance.
- Establish enterprise AI design standards, reference architectures, development patterns, and best practices.
- Ensure AI solutions meet enterprise requirements for security, reliability, scalability, governance, compliance, and responsible AI.




- Evaluate, prototype, and adopt emerging AI frameworks, architectures, tools, and Azure capabilities.
- Develop and support frontend integrations for conversational AI and chat experiences across web applications, Microsoft Teams, and Copilot experiences.
- Provide technical leadership and mentorship to senior and junior engineers while establishing a high standard for engineering excellence.
- Partner with product managers, enterprise architects, engineering teams, and business stakeholders to translate business requirements into scalable AI solutions.
- Communicate complex AI concepts, technical approaches, and architectural decisions effectively to both technical and non-technical audiences.

Required Qualifications

- 10+ years of progressive experience in software engineering, data engineering, big data, or related technology roles.
- 5+ years of hands-on experience in AI/ML, with strong expertise in applied machine learning and AI engineering.
- Advanced knowledge of Machine Learning, Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs).
- Strong practical experience integrating, optimizing, evaluating, and deploying LLM-based applications in enterprise environments.
- Proven experience with prompt engineering, context management, embeddings, vector databases/vector search, RAG, and retrieval strategies.
- Demonstrated experience designing and delivering enterprise-scale chatbots, conversational AI platforms, virtual assistants, or AI agents.
- Strong hands-on experience with Azure OpenAI, Azure AI Foundry, Azure AI Services, and related Azure cloud capabilities.
- Experience with AI agents, agentic workflows, tool/function calling, and AI orchestration frameworks.
- Strong experience building CI/CD pipelines and deploying AI workloads using Docker and Kubernetes.




- Experience with ML lifecycle and experiment-management tools such as MLflow or equivalent platforms.
- Strong programming skills in Python and experience with modern AI/ML development frameworks.
- Solid understanding of AI governance, responsible AI, bias mitigation, explainability, model evaluation, and compliance.
- Strong knowledge of cloud security, Microsoft Entra ID (Azure AD), identity and access management, data governance, and enterprise risk controls.
- Experience leading or significantly contributing to large-scale AI modernization, digital transformation, or enterprise GenAI initiatives.
- Strong understanding of production AI requirements including scalability, reliability, observability, performance, security, and cost optimization.

Preferred Qualifications

- Experience implementing MCP (Model Context Protocol) and modern agent frameworks/SDKs.
- Experience with Azure AI Foundry Agent Service or comparable enterprise agent platforms.
- Experience with vector databases such as Azure AI Search, Pinecone, Weaviate, or similar technologies.
- Experience with LLM evaluation frameworks and automated quality assessment.
- Experience implementing LLM observability and production monitoring.
- Familiarity with Microsoft Copilot and Microsoft Teams integrations.
- Experience with fine-tuning techniques such as LoRA/PEFT and model optimization.
- Experience working with enterprise data platforms, APIs, and up-to-date cloud architectures.
- Strong communication, leadership, problem-solving, and stakeholder-management skills.

Technical Skills AI / GenAI: Generative AI, LLMs, NLP, RAG, Agentic AI, AI Agents, Prompt Engineering, Fine-Tuning, Embeddings, Vector Search, Function Calling, Structured Outputs, MCP

Azure: Azure OpenAI, Azure AI Foundry, Azure AI Services, Azure AI Search, Microsoft Entra ID, Azure Kubernetes Service (AKS)

Programming & Frameworks: Python, AI/ML Frameworks, Agent SDKs, AI Orchestration Frameworks

MLOps / DevOps: MLflow, Docker, Kubernetes, CI/CD, Model Monitoring, Observability, Model Evaluation

Enterprise AI: AI Governance, Responsible AI, Security, Compliance, Data Governance, Risk Management

Integrations: Web Chat Interfaces, Microsoft Teams, Microsoft Copilot, REST APIs

📌 Sr. AI Engineer (Hyderabad)
🏢 Tek Analytics
📍 Hyderabad