Senior AI Engineer - Multi-Agent Systems (Python/GCP)

HTC Global Services, Inc.

Dearborn (MI)

Hybrid

USD 130,000 - 185,000

Full time

14 days+

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Benefits offered by this job

Hybrid and Workplace flexibility

Work-Life-Balance

Well-defined career development plan

Rewards & Recognition program

L&D focuses on upskilling

Hands-on experience with Emerging Tech

Job summary

HTC Global Services is seeking a hands-on Senior AI Software Engineer to design, build, and enhance AI-powered multi-agent systems in a hybrid Dearborn (MI) environment. You will contribute to architecture discussions, develop backend and frontend components with Python, FastAPI, and React/Angular, and ensure scalable, production-ready solutions.

The role requires 5+ years of software engineering experience, strong Python/LLM tooling skills, and GCP familiarity.

Qualifications

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
5+ years of professional software engineering experience with strong hands-on coding skills.
Experience building AI-powered applications or operating LLM-based systems in production environments.
Experience designing and developing AI or expert systems.
Proficiency with Python and FastAPI.
Experience with Angular or React.
Experience working with Google Cloud Platform (GCP).
Familiarity with AI coding tools such as Claude Code, OpenCode, or similar tools.
Ability to interpret ambiguous requirements and independently deliver well-tested software.

Responsibilities

Design and develop multi-agent AI systems and evaluate architectural approaches, including single-agent vs. multi-agent systems and retrieval-augmented generation (RAG) vs. fine-tuning.
Contribute to architecture decision documentation and technical design discussions.
Develop production-grade code for AI agent frameworks, backend services, frontend applications, and LLM-powered workflows.
Build AI capabilities including natural language to SQL, semantic search, metadata enrichment, and AI guardrails.
Implement observability and monitoring for AI system outputs.
Develop backend applications using Python and FastAPI.
Develop frontend applications using Angular or React.
Build chat interfaces, APIs, and evaluation or benchmarking tools.
Own features throughout the complete software development lifecycle.
Maintain high code quality through code reviews and engineering best practices.
Perform root cause analysis and troubleshoot AI agent failures.
Collaborate with Product, Data Engineering, and Platform teams.
Mentor team members and support sprint planning and onboarding activities.