AI Engineer – Azure AI Foundry

Experience

4 – 6 years

Level

Mid-Level

Location

Delhi / Mumbai / Bangalore (India)

Employment Type

Full-time

Primary Skills

Azure AI Foundry, RAG, AI Agents, AI / ML

Role Summary

We are looking for an AI Engineer with hands-on experience in building Generative AI solutions on Microsoft Azure. You will design and develop Retrieval-Augmented Generation (RAG) pipelines and AI agents using Azure AI Foundry, working within a team under the guidance of senior engineers and architects, and contribute to production-grade AI/ML solutions for enterprise clients.

Key Responsibilities

• Develop and deploy RAG-based applications using Azure AI Foundry, Azure OpenAI, and Azure AI Search.

• Build AI agents using Azure AI Foundry Agent Service, including tool/function calling and basic multi-step workflows.

• Implement document ingestion pipelines: parsing, chunking, embedding generation, and vector indexing.

• Write and iterate on prompts; apply prompt engineering techniques to improve answer quality and reduce hallucinations.

• Build, train, and evaluate classical ML / deep learning models for classification, forecasting, NLP, or similar use cases.

• Expose AI capabilities through REST APIs (FastAPI / Flask) and integrate them with front-end and enterprise systems.

• Run evaluation of RAG and agent outputs (groundedness, relevance, accuracy) using Azure AI Foundry evaluation tools.

• Write clean, tested, well-documented code and participate in code reviews.

• Collaborate with product owners, data engineers, and QA teams to deliver sprint commitments.

Required Skills & Experience

• 4 – 6 years of total experience in software / data / AI engineering, with at least 1.5 – 2 years in Generative AI.

• Hands-on experience with Azure AI Foundry (model catalog, deployments, prompt flow, evaluations).

• Practical experience building RAG solutions end to end (embeddings, chunking, vector search, retrieval, re-ranking basics).

• Experience building AI agents using Azure AI Foundry (Agent Service) or frameworks such as Semantic Kernel, LangChain, or AutoGen.

• Strong Python programming skills; good understanding of REST APIs and JSON.

• Working knowledge of AI/ML fundamentals: supervised / unsupervised learning, model evaluation, feature engineering, scikit-learn, and PyTorch or TensorFlow.

• Familiarity with Azure services: Azure OpenAI, Azure AI Search, Blob Storage, Azure Functions, Key Vault.

• Working knowledge of Git and CI/CD basics.

AI Engineer – Azure AI Foundry

Experience

4 – 6 years

Level

Mid-Level

Location

Delhi / Mumbai / Bangalore (India)

Employment Type

Full-time

Primary Skills

Azure AI Foundry, RAG, AI Agents, AI / ML

Role Summary

We are looking for an AI Engineer with hands-on experience in building Generative AI solutions on Microsoft Azure. You will design and develop Retrieval-Augmented Generation (RAG) pipelines and AI agents using Azure AI Foundry, working within a team under the guidance of senior engineers and architects, and contribute to production-grade AI/ML solutions for enterprise clients.

Key Responsibilities

• Develop and deploy RAG-based applications using Azure AI Foundry, Azure OpenAI, and Azure AI Search.

• Build AI agents using Azure AI Foundry Agent Service, including tool/function calling and basic multi-step workflows.

• Implement document ingestion pipelines: parsing, chunking, embedding generation, and vector indexing.

• Write and iterate on prompts; apply prompt engineering techniques to improve answer quality and reduce hallucinations.

• Build, train, and evaluate classical ML / deep learning models for classification, forecasting, NLP, or similar use cases.

• Expose AI capabilities through REST APIs (FastAPI / Flask) and integrate them with front-end and enterprise systems.

• Run evaluation of RAG and agent outputs (groundedness, relevance, accuracy) using Azure AI Foundry evaluation tools.

• Write clean, tested, well-documented code and participate in code reviews.

• Collaborate with product owners, data engineers, and QA teams to deliver sprint commitments.

Required Skills & Experience

• 4 – 6 years of total experience in software / data / AI engineering, with at least 1.5 – 2 years in Generative AI.

• Hands-on experience with Azure AI Foundry (model catalog, deployments, prompt flow, evaluations).

• Practical experience building RAG solutions end to end (embeddings, chunking, vector search, retrieval, re-ranking basics).

• Experience building AI agents using Azure AI Foundry (Agent Service) or frameworks such as Semantic Kernel, LangChain, or AutoGen.

• Strong Python programming skills; good understanding of REST APIs and JSON.

• Working knowledge of AI/ML fundamentals: supervised / unsupervised learning, model evaluation, feature engineering, scikit-learn, and PyTorch or TensorFlow.

• Familiarity with Azure services: Azure OpenAI, Azure AI Search, Blob Storage, Azure Functions, Key Vault.

• Working knowledge of Git and CI/CD basics.

Lead AI Engineer / AI Solution Architect – Azure AI Foundry

Experience

8 – 10 years

Level

Lead / Architect

Location

Delhi / Mumbai / Bangalore (India)

Employment Type

Full-time

Primary Skills

Azure AI Foundry, RAG, AI Agents, AI / ML

Role Summary

We are looking for a Lead AI Engineer / AI Solution Architect to define and drive the technical vision for enterprise Generative AI and agentic AI solutions on Azure AI Foundry. You will architect end-to-end RAG and multi-agent platforms, set engineering standards, lead and grow a team of AI engineers, and partner with senior client stakeholders to deliver measurable business outcomes.

Key Responsibilities

• Own the end-to-end architecture of enterprise GenAI platforms on Azure AI Foundry, covering RAG, multi-agent systems, ML pipelines, security, and integration.

• Define reference architectures, reusable accelerators, and best practices for RAG, agents, evaluation, and LLMOps across engagements.

• Lead the design of complex multi-agent workflows with orchestration, memory, human-in-the-loop, and enterprise tool / MCP integration.

• Establish governance for responsible AI: guardrails, content safety, data privacy, compliance, model risk, and audit.

• Drive model strategy: selection among Azure OpenAI and open-source models, fine-tuning, cost-performance trade-offs, and capacity planning.

• Define evaluation, observability, and monitoring strategy for AI systems in production (quality, drift, latency, cost, safety).

• Lead, mentor, and grow a team of AI engineers; set technical direction, review designs, and ensure delivery quality.

• Partner with client CXO / senior stakeholders in solutioning, discovery workshops, proposals, estimations, and technical presales.

• Evaluate emerging AI technologies and drive POCs that convert into scalable offerings.

Required Skills & Experience

• 8 – 10 years of total experience in software / data / AI engineering, with at least 3 – 4 years architecting and delivering Generative AI solutions in production.

• Deep expertise in Azure AI Foundry (model catalog, Agent Service, evaluations, tracing, safety, governance) and the wider Azure AI stack.

• Demonstrated experience architecting large-scale RAG systems (hybrid retrieval, graph / agentic RAG, multimodal, multi-tenant, access-controlled).

• Demonstrated experience architecting multi-agent systems with Azure AI Foundry and frameworks such as Semantic Kernel, LangGraph, or AutoGen.

• Strong AI/ML foundation: classical ML, deep learning, NLP / LLMs, fine-tuning, evaluation, and MLOps on Azure Machine Learning or equivalent.

• Strong Azure architecture skills: networking (VNet, Private Link), identity (Entra ID, managed identity), AKS / Container Apps, API Management, Cosmos DB, Key Vault, Monitor.

• Expert-level Python and strong software architecture / design-pattern knowledge; experience with CI/CD and Infrastructure as Code.

• Track record of leading teams, owning delivery outcomes, and managing technical risk.

• Excellent client-facing skills, including presales, proposal writing, and executive presentations.

Senior AI Engineer – Azure AI Foundry

Experience

6 – 8 years

Level

Senior

Location

Delhi / Mumbai / Bangalore (India)

Employment Type

Full-time

Primary Skills

Azure AI Foundry, RAG, AI Agents, AI / ML

Role Summary

We are seeking a Senior AI Engineer to design and deliver scalable Generative AI and agentic solutions on Azure AI Foundry. You will own the technical design of RAG systems and AI agents, drive quality and performance, mentor junior engineers, and work directly with client stakeholders to translate business problems into reliable AI solutions.

Key Responsibilities

• Design and implement production-grade RAG architectures using Azure AI Foundry, Azure OpenAI, and Azure AI Search (hybrid search, semantic ranking, re-ranking, metadata filtering).

• Architect and build single- and multi-agent systems using Azure AI Foundry Agent Service, Semantic Kernel, LangGraph, or AutoGen, including tool integration, memory, and orchestration.

• Define and implement evaluation frameworks for RAG and agents (groundedness, relevance, safety, latency, cost) and drive continuous improvement.

• Optimize LLM solutions for cost, latency, and accuracy: prompt optimization, caching, model selection, fine-tuning where appropriate.

• Design and build ML models and pipelines (training, validation, deployment, monitoring) using Azure Machine Learning or equivalent.

• Implement LLMOps / MLOps practices: CI/CD, model and prompt versioning, observability, and automated testing.

• Apply responsible AI practices: content safety, PII handling, guardrails, access control, and auditability.

• Lead technical design discussions, review code and architecture, and mentor engineers on the team.

• Engage with client stakeholders to understand requirements, estimate effort, and present technical solutions.

Required Skills & Experience

• 6 – 8 years of total experience in software / data / AI engineering, with at least 2 – 3 years delivering Generative AI solutions in production.

• Strong, hands-on expertise in Azure AI Foundry, including model deployments, agents, evaluations, tracing, and content safety.

• Proven experience designing and shipping RAG systems at scale, including advanced retrieval strategies and evaluation.

• Proven experience building AI agents (tool calling, planning, multi-agent orchestration) using Azure AI Foundry and at least one agent framework.

• Solid AI/ML background: model development, hyperparameter tuning, evaluation, deployment; experience with PyTorch / TensorFlow / scikit-learn; NLP / transformer fundamentals.

• Expert-level Python; experience building scalable APIs and microservices.

• Strong Azure experience: Azure OpenAI, AI Search, Azure ML, Functions, Container Apps / AKS, Cosmos DB, Key Vault, API Management, Application Insights.

• Hands-on experience with MLOps / LLMOps tooling and CI/CD (Azure DevOps or GitHub Actions).

• Experience mentoring junior engineers and leading small delivery teams.