AI Software Engineer

Job Description Hybrid work. Candidates must be located in the Farmington Hills / Metro Detroit, Michigan area. No remote candidates.

JOB DESCRIPTION

We are looking for a Lead Software Engineer to join our AI agentic engineering team. You will design and deliver guardrail components across services, define where and how enforcement should occur in systems, and mentor engineers on safe design and defensive programming patterns. You will also architect backend services, APIs, and integrations that apply software engineering discipline to govern how AI-driven systems behave across the engineering workflow. This is a hands-on technical leadership role requiring strong proficiency in Python and TypeScript, a track record of delivering cross-service systems, and the ability to define enforcement patterns that other engineers follow. What You'll Do Design and deliver backend services and APIs that enforce system behavior across multiple services Define where and how enforcement, filtering, and validation should occur within system architectures Build cross-service controls and establish the patterns other engineers implement against Instrument and improve observability across service boundaries

• structured logging, metrics, distributed tracing Own shared tooling and platform components with broad organizational reach Mentor engineers on safe design, defensive programming, and failure handling practices Core Capabilities Writes production-quality code with strong proficiency in Python and TypeScript Demonstrates advanced experience working in cloud environments (AWS) Designs and implements scalable backend services and APIs across service boundaries Defines enforcement patterns and interface contracts consumed by other teams Thinks in systems•reasons about cross-service dependencies, failure propagation, and contract stability Communicates defensive design principles clearly to other engineers Shows strong technical curiosity and forms clear, experience-backed opinions What Differentiates This Role This role is focused on how systems behave under misuse, failure, or unexpected inputs•not on building user-facing features.

At this level, you are defining where enforcement lives and how it works across services, not just implementing within one. You bring both the technical depth to build these systems and the communication skills to make the patterns repeatable by others. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 5-8 years of software engineering experience with strong proficiency in Python and TypeScript Demonstrated experience delivering production systems on AWS (Lambda, Fargate, API Gateway) Experience designing enforcement, filtering, or validation logic that spans multiple services Track record of defining interfaces, contracts, or patterns adopted by other engineers Ability to mentor junior and mid-level engineers on defensive design and safe coding practices Clear written and verbal communication

• able to define and document system-level enforcement patterns Experience designing and building agentic workflows or multi-agent systems Familiarity with LLM integration patterns
• prompt injection detection, guardrail design, or output filtering Nice to Have Experience with AWS Bedrock
• model invocation, guardrail configuration, or AgentCore runtimes Experience with agentic or multi-step workflow systems or Background in platform engineering or developer tooling roles