Agentic AI Developer

Agentic Ai Developer

Software Engineer – Ai Agents (Azure Ai Foundry) Role Overview We are seeking a Software Engineer specializing in Agentic Ai to design, build, and deploy intelligent Ai agents leveraging Azure Ai Foundry. The role focuses on developing scalable, production-grade multi-agent solutions that automate business processes and accelerate enterprise Ai adoption. This engineer will work across the full lifecycle—from solution design and model integration to deployment, orchestration, and optimization of Ai agents in cloud-native environments.

Key Responsibilities Design and develop Ai agents and multi-agent systems using Amazon Bedrock or Azure Ai Foundry / Agent frameworks Build agent-driven workflows to automate enterprise processes and orchestrate tasks across systems Integrate Llms, Apis, enterprise data sources, and external services into agent architectures Develop Rag-based and conversational Ai solutions using modern Genai frameworks Implement scalable, cloud-native applications using microservices and serverless patterns Collaborate with architects and domain teams to translate business requirements into Ai-driven solutions Ensure secure, compliant, and responsible Ai implementations (governance, explainability, monitoring) Build reusable frameworks, Sdkis, and automation pipelines for agent deployment Optimize agent performance, latency, and cost across cloud environments Contribute to Ci/cd pipelines, testing, and production deployment of Ai solutions

Required Skills & Experience 5+ years in software engineering with strong experience in cloud-native development Hands-on experience with:
Azure Ai Foundry / Azure Openai Ai agent frameworks (e.g., Autogen, Semantic Kernel, Langchain, Agent Sdkis) Strong programming expertise in:
Python (preferred) or Java Experience building:
Rest Apis, microservices, event-driven architectures Familiarity with:
Llms, prompt engineering, Rag architectures Multi-agent orchestration and workflow design Experience with cloud services:
Azure (Functions, Storage, Dev Ops, Service Bus) OR Aws equivalents Knowledge of Ci/cd, Dev Ops, and containerization (Docker/Kubernetes) Experience integrating enterprise systems (Apis, databases, Saas platforms) Preferred Qualifications Experience building multi-agent platforms or autonomous workflows Exposure to Ai governance, safety, and responsible Ai practices Familiarity with agent-to-agent communication and orchestration protocols Experience in building Genai-enabled user interfaces (React or similar) Certifications in Azure Ai / Aws Ai / Cloud Architect roles Key Competencies Strong problem-solving and system design skills Ability to translate business use cases into Ai-driven architectures Collaboration across cross-functional teams (engineering, data, business) Focus on performance, scalability, and production readiness