Senior AI Platform Engineer - Agent Orchestration & SDLC

Job Title:
Senior Full Stack Engineer - AI Platform & Agent Orchestration

Role Summary

We are seeking a Senior Full Stack Engineer with strong analytical and problem-solving skills to build AI-enabled SDLC platform capabilities. The engineer will develop backend services, user interfaces, agent orchestration flows, skills, integrations, automation pipelines, and pilot-ready features that support autonomous software delivery with human checkpoints.

Key Responsibilities

• Design and develop cloud-native services, APIs, workflow interfaces, dashboards, and agent management capabilities.
• Build and enhance AI skills, tools, agents, and orchestration flows for planning, design, coding, review, testing, and release of workflows.
• Integrate LLM services with enterprise systems, repositories, CI/CD pipelines, Jira, Azure Dev Ops, Git Hub, and internal knowledge sources.
• Implement memory, retrieval, artifact management, audit trail, and workflow state capabilities in collaboration with the Technical Lead and AI Engineer.
• Write clean, secure, testable, and maintainable code with automated testing and CI/CD practices.
• Troubleshoot agent execution issues, API failures, integration defects, performance bottlenecks, and quality concerns.
• Support pilot implementation, end-to-end scenario validation, demo preparation, telemetry capture, and backlog refinement.

Required Qualifications

• 10+ years of full stack engineering experience delivering enterprise applications.
• Strong analytical, debugging, and problem-solving mindset.
• Hands-on Python engineering experience with API development and service integration.
• Experience building scalable frontend applications and reusable UI components.
• Working knowledge of AI agent orchestration, LLM APIs, tool calling, RAG concepts, prompt engineering, and workflow automation.
• Experience with Agile delivery, code reviews, automated testing, CI/CD, and collaborative engineering practices.

Technical Skills

• Cloud/Ops: AWS, Docker, CI/CD, Git Hub, Git Hub Actions, Azure Dev Ops, logging, monitoring and deployment automation.

Preferred Qualifications

• Experience with Lang Graph, Lang Chain, CrewAI, or comparable workflow orchestration tools.
• Experience with vector databases, embeddings, context retrieval, and memory-backed AI applications.
• Exposure to AI-enabled developer productivity platforms, code assistants, and agentic SDLC patterns.

Ability to independently convert business and platform requirements into working features and integrations.