FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
AI – Agent Engineer
Netrix Global. Lead technical discovery sessions and translate business problems into prioritized, testable AI use cases and solution requirements .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing AI solutions using Azure AI Services and large language models, with a strong focus on secure integrations and responsible AI practices. Proven ability to communicate effectively with clients and stakeholders while managing project outcomes and technical documentation.
Highest-signal resume keywords
Python ExpertiseAzure AI Services IntegrationRetrieval-Augmented Generation (RAG)Prompt EngineeringClient-Facing Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonRetrieval-Augmented Generation (RAG)Prompt EngineeringREST APIsAI Evaluation MethodologiesSecure Integration PatternsObservabilityCI/CD PracticesData IntegrationTechnical Documentation
Soft Skills
Stakeholder CollaborationProblem-SolvingCommunication SkillsMentoringEstimation Capabilities
Tools & Technologies
Azure OpenAIMicrosoft GraphAzure FunctionsLogic AppsPower AutomateCopilot StudioSemantic KernelDataverseSalesforce/CRM IntegrationsLangChain
Industry Keywords
Responsible AI PracticesPrompt-Injection MitigationEntra ID/OAuthAI WorkflowsTechnical Discovery Sessions
Tech Stack
Tools & technologiesAWSAzurePythonSQL
About the role
Key responsibilities & 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, 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 to 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, Power Platform, Full-Stack, and DevOps engineers to deliver end-to-end solutions
- Facilitate client workshops, demonstrations, proof-of-concepts, and technical decision discussions
- Document architecture, assumptions, risks, and handoff guidance
- Support estimation, delivery planning, pre-sales solutioning, and mentoring where needed
- Communicate with clients and internal stakeholders during discovery, delivery updates, risk discussions, and project handoffs
- Take ownership of outcomes, follow work through to completion, and escalate risks early with supporting evidence
- Contribute through peer reviews, knowledge sharing, and professional client interactions
Requirements
What you’ll need- 3-5 years of relevant professional experience
- Python expertise
- 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 and stakeholder collaboration experience
- 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
- Ability to participate in client meetings, discovery sessions, demonstrations, delivery reviews, and issue-resolution discussions during the assigned shift
- Ability to work the standard shift of 1:00 PM to 10:00 PM India Standard Time (IST)
Benefits
Comp & perks- Competitive compensation package
- Comprehensive group benefits to meet the needs of you and your family
- Flexibility
- Time off when you need it
- Casual work environment
- Remote/home office option
- Some travel required
- Reasonable accommodations for persons with disabilities