AI / Agent Engineer

Netrix Global; Pune District; Remote; INR 900,000 - 1,400,000; Full time

Job summary

Netrix Global is seeking a client-facing AI/Agent Engineer to design secure, grounded AI solutions for enterprise customers. You will work with Azure AI Services, Azure OpenAI, RAG, and REST APIs to deliver production-grade agents with measurable task success and traceable grounding.

You will lead technical discovery, translate business problems into testable use cases, build agent actions and integrations with Microsoft services, and establish evaluation and safety controls.

Qualifications

• 3–5 years of relevant professional experience.
• Proficient in Python and hands-on experience with Azure AI Services / Azure OpenAI.
• Strong understanding of Retrieval-Augmented Generation (RAG), prompt engineering, agent/tool calling, REST APIs, and secure integrations.
• Knowledge of Entra ID/OAuth, Git, AI evaluation methodologies, Responsible AI practices, and prompt-injection mitigation.
• Ability to decompose ambiguous requirements and explain trade-offs clearly.
• Excellent client-facing communication, stakeholder collaboration, and documentation/estimation skills.
• Experience with Copilot Studio, Semantic Kernel, or similar orchestration frameworks.
• Experience with Microsoft Graph, Azure Functions, Logic Apps, SQL, SharePoint, Dataverse, Power Automate.
• Familiarity with observability, tracing, and CI/CD for AI solutions.
• Exposure to Fabric/OneLake, Document Intelligence, advanced retrieval and re-ranking, fine-tuning, CRM integrations, LangChain, Claude, AWS Bedrock.
• Production-grade agents with measurable task success and secure enterprise integrations.
• Clear documentation, operational ownership, and human escalation paths.

Responsibilities

• Lead technical discovery sessions and translate business problems into prioritized, testable AI use cases and solution requirements.
• Design and implement grounded AI assistants and agents using Azure AI Services, Azure OpenAI/LLMs, RAG, prompt engineering, tool calling, and REST APIs.
• Build agent actions and integrations with enterprise systems, data sources, and Microsoft services using secure authentication and authorization patterns.
• Develop retrieval, chunking, grounding, and evaluation approaches that improve relevance, accuracy, and traceability.
• Establish evaluation datasets, task-success measures, safety checks, responsible AI controls, and prompt-injection defenses.
• Implement logging, tracing, monitoring, and structured troubleshooting for AI workflows and production incidents.
• Partner with Data, Microsoft 365 (M365), Power Platform, Full-Stack, and DevOps engineers to deliver end-to-end solutions.
• Facilitate client workshops, demonstrations, proof-of-concepts (POCs), and technical decision discussions; document architecture, assumptions, risks, and handoff guidance.
• Support estimation, delivery planning, pre-sales solutioning, and mentoring where needed.

Skills

Python

Azure AI Services

LLMs / Azure OpenAI

RAG

Prompt engineering

REST APIs

OAuth / Entra ID

Git

CI/CD

Observability

Client-facing communication

Documentation & estimation

Orchestration frameworks

Tools

Copilot Studio

Semantic Kernel

LangChain

LangGraph

Claude

AWS Bedrock

Microsoft Graph

Azure Functions

Logic Apps

SQL

SharePoint

Dataverse

Power Automate

Job description

About The Opportunity

Netrix Global is looking for a client-facing AI / Agent Engineer to design and deliver secure, grounded AI solutions for enterprise customers. The role focuses on Azure AI services, Azure OpenAI and large language model (LLM) integration, retrieval-augmented generation (RAG), agent orchestration, APIs, and measurable evaluation frameworks. The engineer will work directly with client stakeholders to transform ambiguous business challenges into testable AI use cases, prototypes, and production-ready solutions. The role requires balanced judgment in determining when an agent or generative AI approach is appropriate, when conventional automation is a better fit, and how to design clear human escalation paths. The ideal candidate combines hands-on engineering expertise with strong discovery, communication, and workshop facilitation skills. Success in this role means delivering production-grade agents with traceable grounding, secure integrations, observable behavior, and repeatable quality controls.

How You Will Make An Impact

• Lead technical discovery sessions and translate business problems into prioritized, testable AI use cases and solution requirements.
• Design and implement grounded AI assistants and agents using Azure AI Services, Azure OpenAI/LLMs, RAG (Retrieval-Augmented Generation), prompt engineering, tool calling, and REST APIs.
• Build agent actions and integrations with enterprise systems, data sources, and Microsoft services using secure authentication and authorization patterns.
• Develop retrieval, chunking, grounding, and evaluation approaches that improve relevance, accuracy, and traceability.
• Establish evaluation datasets, task-success measures, safety checks, responsible AI controls, and prompt-injection defenses.
• Implement logging, tracing, monitoring, and structured troubleshooting for AI workflows and production incidents.
• Partner with Data, Microsoft 365 (M365), Power Platform, Full-Stack, and DevOps engineers to deliver end-to-end solutions.
• Facilitate client workshops, demonstrations, proof-of-concepts (POCs), and technical decision discussions; document architecture, assumptions, risks, and handoff guidance.
• Support estimation, delivery planning, pre-sales solutioning, and mentoring where needed.

What You Will Bring To The Table

We are looking for a professional who combines technical ownership with strong client partnership. Success in this role requires curiosity, accountability, practical judgment, and the ability to move work forward while keeping stakeholders informed.

• Communicate clearly with clients and internal stakeholders, including during discovery, delivery updates, risk discussions, and project handoffs.
• Take ownership of outcomes, follow work through to completion, and elevate risks early with supporting evidence.
• Use documentation, experimentation, and collaboration to solve unfamiliar problems rather than waiting for step-by-step direction.
• Adapt to evolving technologies, priorities, and responsibilities while maintaining quality and security standards.
• Contribute to a supportive engineering culture through peer reviews, knowledge sharing, and professional client interactions.

Qualifications

• 3-5 years of relevant professional experience.
• Python expertise and hands-on integration experience with Azure AI Services, Microsoft Foundry, Azure OpenAI, or comparable large language model (LLM) platforms.
• Strong understanding of Retrieval-Augmented Generation (RAG), prompt engineering, agent/tool calling, REST APIs, and secure integration patterns.
• Working knowledge of Entra ID/OAuth fundamentals, Git, AI evaluation methodologies, Responsible AI practices, and prompt-injection mitigation techniques.
• Ability to decompose ambiguous requirements, troubleshoot complex workflows, and explain technical trade-offs in clear business-friendly language.
• Demonstrated client-facing communication skills, stakeholder collaboration experience, and strong documentation and estimation capabilities.
• Experience with Copilot Studio, Semantic Kernel, or comparable orchestration frameworks.
• Experience with Microsoft Graph, Azure Functions, Logic Apps, SQL, SharePoint knowledge sources, Dataverse, and Power Automate.
• Experience with observability, tracing, and CI/CD practices for AI solutions.
• Exposure to Fabric/OneLake, Document Intelligence, advanced retrieval and re-ranking techniques, fine-tuning, Salesforce/CRM integrations, LangChain, LangGraph, Claude, or AWS Bedrock.
• Production-grade agents with measurable task success.
• Traceable grounding and secure enterprise integrations.
• Repeatable evaluation, safety, and monitoring controls.
• Clear documentation, operational ownership, and human escalation paths.

Work Schedule

This is a client-facing role. The successful candidate will be expected to participate in client meetings, discovery sessions, demonstrations, delivery reviews, and issue-resolution discussions during the assigned shift.

Standard Shift: 1:00 PM to 10:00 PM India Standard Time (IST), equivalent to 2:30 AM to 11:30 AM Eastern Standard Time (EST). During U.S. daylight saving time, the equivalent schedule is 3:30 AM to 12:30 PM Eastern Daylight Time (EDT).

About Us

At Netrix Global, our values are the philosophies and principles that we live by. They support our vision, help us achieve our goals, and commit us to a common purpose. We Own Outcomes, Win Together, Make An Impact, Enjoy The Journey, and Respect All! Netrix Global is a mission-driven organization with the goal of providing the people, processes, and technology needed to run and scale modern, data-driven businesses that are always on and always secure. Our breadth of capabilities allows us to provide holistic offerings that solve even today’s most complex business challenges, delivering to you an integrated, optimized, and future-proof solution. We work with clients of all sizes and specialize in solutions for healthcare, manufacturing, government, education, financial services, and legal industries. Netrix is consistently ranked in the CRN VAR500, detailing the country’s top system integrators. At Netrix, we're driven to solve business problems with innovative technology solutions. We focus on end-users and are committed to client satisfaction.

What You Can Expect From Us

We offer a competitive compensation package, comprehensive group benefits to meet the needs of you and your family, flexibility, and time off when you need it, and a casual work environment. The role can be remote/home office, with some travel required.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you need reasonable accommodations, please let us know by contacting NetrixHR@Netrixglobal.

To learn more about Netrix Global, please go to www.netrixglobal.com