AI Software Engineer

Talentify; Ann Arbor (MI); Hybrid; USD 95,000 - 140,000; Full time

Job summary

Mindlance is seeking a Mid-Level AI Engineer to design, develop, and deploy AI-powered applications and services. You will collaborate with software engineers, product managers, and data teams to build scalable AI solutions using modern ML, generative AI, and enterprise practices.

The ideal candidate combines strong software skills with on‑the‑job experience building, deploying, and operating AI in production environments, including AI agents, tools, and orchestration frameworks.

Qualifications

• Bachelor's degree in CS or related field.
• 3–6 years of software development experience.
• 2+ years building AI/ML or Generative AI apps.
• Experience REST APIs and distributed services.

Responsibilities

• Design, develop, test, and deploy AI-enabled applications.
• Build generative AI solutions using LLMs.
• Develop AI agents, workflows, and orchestration frameworks.
• Implement RAG, semantic search, and knowledge retrieval.
• Build APIs, microservices, and backend AI workloads.
• Evaluate model performance, cost, and latency.
• Develop automated testing, monitoring, and observability.
• Collaborate with product owners to translate requirements.
• Implement responsible AI, security, privacy, and governance.

Skills

Python

Java

C#

TypeScript/JavaScript

REST APIs

Distributed services

Cloud platforms

CI/CD

Security

Observability

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Cloud Run

LLM platforms

Job description

Work Location

Ann Arbor, MI

6 months 100% onsite and then after the 6 months 4 days onsite and 5th remote. Candidate is able to pick their remote day.

Mid-Level AI Engineer / AI Developer

Position Summary

We are seeking a Mid-Level AI Engineer to design, develop, and deploy AI-powered applications and services. This role will work closely with software engineers, product managers, architects, and data teams to build scalable AI solutions using modern machine learning, generative AI, agent frameworks, and enterprise software engineering practices.

The ideal candidate combines strong software development skills with hands‑on experience building, integrating, and operating AI solutions in production environments.

Key Responsibilities

• Design, develop, test, and deploy AI-enabled applications and services.
• Build and integrate Generative AI solutions using large language models (LLMs).
• Develop AI agents, workflows, prompts, tools, and orchestration frameworks.
• Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions.
• Build APIs, microservices, and backend services supporting AI workloads.
• Evaluate, benchmark, and optimize AI model performance, quality, cost, and latency.
• Develop automated testing, monitoring, and observability for AI applications.
• Collaborate with product owners and business stakeholders to translate requirements into technical solutions.
• Implement responsible AI, security, privacy, and governance controls within AI solutions.
• Contribute to architectural decisions, coding standards, and engineering best practices.
• Support AI applications in production and participate in troubleshooting and incident resolution.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field.
• 3–6 years of software development experience.
• 2+ years of experience building AI/ML or Generative AI applications.
• Strong programming skills in one or more of:
• o Python
• o Java
• o C#
• o TypeScript/JavaScript
• Experience developing REST APIs and distributed services.
• Experience working with cloud platforms such as:
• o Azure
• o AWS
• o GCP
• Strong understanding of software engineering fundamentals:
• o Design patterns
• o Testing
• o CI/CD
• o Security
• o Observability

Preferred Qualifications

• Experience with LLM platforms such as:
• o OpenAI
• o Anthropic Claude
• o Azure OpenAI
• o Gemini
• Experience building:
• o AI agents
• o MCP‑based integrations
• o Tool calling frameworks
• o Multi‑agent workflows
• Experience with RAG architectures and vector databases.
• Familiarity with prompt engineering and evaluation frameworks.
• Experience with containerization and orchestration:
• o Docker
• o Kubernetes
• o Cloud Run
• Experience working in Agile development environments.

Technical Skills

• AI / Machine Learning
• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Embeddings and Vector Search
• AI Agent Frameworks
• Model Evaluation and Benchmarking

Software Engineering

• Object‑Oriented Design
• API Design
• Microservices
• Event-Driven Architecture
• Automated Testing
• CI/CD Pipelines
• Git and Source Control

Cloud & Infrastructure

• Azure, AWS, or GCP
• Containers and Kubernetes
• Monitoring and Observability
• Identity and Access Management
• Secure Deployment Practices

Success Measures

• Delivers production‑ready AI features with high quality and reliability.
• Improves developer and customer productivity through AI‑enabled capabilities.
• Builds scalable and secure AI services aligned with enterprise governance requirements.
• Demonstrates ownership from design through deployment and production support.
• Collaborates effectively across engineering, architecture, product, and business teams.

Typical Projects

• AI assistants and copilots
• MCP servers and AI integrations
• Knowledge search and RAG platforms
• Agentic workflows and automation
• Document intelligence solutions
• AI‑powered developer productivity tools
• Conversational client experiences

"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."