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Coforge Linkedin · Posted 1mo ago

AI Software Engineer

Detroit, Michigan, United States

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Indexed description

Role: AI Software Engineer

Location: Detroit MI

Mode of Hire: Full Time



Responsibilities:

• 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

Skills Required:

• 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

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