AI Engineer – Agentic Systems IRC294568

Description

 End-to-End Agentic SDLC Automation Pipeline for Embedded IoT.

The objective of this project is to build an autonomous, multi-agent AI pipeline designed to automate the Software Development Life Cycle (SDLC) for embedded IoT products. The system will operate across diverse environments—including cloud infrastructure, device firmware, and mobile codebases—to seamlessly ingest Jira/ticketing inputs and autonomously drive them through to fully tested, peer-reviewed code changes.

System Architecture

The pipeline relies on a hierarchical, multi-agent orchestration model rather than a single-turn LLM wrapper.

The Orchestrator (Supervisor Agent): Acts as the central brain of the pipeline. 

If you have a feeling, even slightly, that this is something for you, don’t hesitate. Our fantastic recruitment team will provide you with more information and guide you through the process

Requirements

• 2+ years building LLM-powered applications that shipped to production
• Hands-on experience building multi-step agent systems that call tools, handle failures, and iterate, not single-turn LLM wrappers
  Strong Python proficiency
• Experience with prompt engineering, RAG, context window management, and function calling / tool-use patterns
• Familiarity with at least one agent framework (Strands Agents, LangGraph, CrewAI, or equivalent)
• Experience evaluating non-deterministic AI systems (LLM-as-a-judge, regression testing for AI outputs)
• Experience with MCP (Model Context Protocol), client or server side
• Models: Cloud-hosted foundation models (Claude)
• Tool Protocol: MCP (Model Context Protocol)
• Compute: AWS / Linux OS
• Infrastructure: CI/CD pipeline knowledge

 Preferred:

• Experience with code generation or code understanding agents (coding assistants, automated code review, code search)
• Familiarity with cloud-hosted LLM services (model invocation APIs, guardrails, inference configuration)
• Familiarity with embedded systems or device software development workflows

Job responsibilities

• Design and implement a multi-agent pipeline that takes a ticket as input and produces a tested, reviewed code change as output
• Build a supervisor/orchestrator agent that manages pipeline state, delegates to specialist agents, handles iteration loops (build fails, fix, rebuild), and supports human-in-the-loop interrupts at any stage
• Build specialist agents for context gathering, codebase understanding, problem analysis, requirements generation, code generation, test result analysis, and code review creation
• Design tool schemas using the Model Context Protocol (MCP) that define how agents interact with external systems (ticketing, code repos, build systems, devices, test frameworks)
• Implement a tiered model strategy, selecting the right foundation model for each pipeline stage based on reasoning complexity, latency, and cost
• Build the evaluation framework: curate test cases with domain experts, implement LLM-as-a-judge scoring, and integrate evaluation gates into the deployment pipeline
• Manage context windows and token budgets across multi-step agent workflows that can span hours of execution
• Iterate on agent reasoning quality through prompt engineering, tool-use patterns, failure recovery, and hallucination mitigation

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.