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AI Engineer

Remote · USA Full-time New today

Ingemark is a technology consultancy that builds modern, scalable software solutions for enterprise clients. We specialize in custom software, integrations, and AI systems, with a growing emphasis on GenAI. As an AI Engineer, you’ll help us shape next-generation GenAI systems that improve productivity, automate processes, and power intelligent applications.

Your Role

We’re seeking a highly skilled AI Engineer with strong Python development skills and hands-on experience building GenAI-powered systems. You’ll develop production-grade GenAI services using modern frameworks, deploy to Kubernetes, and work closely with engineers, architects, and delivery teams to bring ideas to life.

What You’ll Do

  • Build and maintain Python-based GenAI systems (e.g., pipelines, agents)
  • Develop and test prompt logic, embeddings, and RAG-based flows
  • Implement evaluation logic for latency, accuracy, and hallucination detection
  • Leverage AI-assisted development tools to improve productivity
  • Collaborate in an agile team with clear delivery goals and code ownership

What We’re Looking For 

  • 2+ years of professional software development experience
  • At least 1 year of building apps/assistants/agents with LLMs (connecting tools to LLMs, external MCP servers) or GenAI frameworks (LangChain, OpenAI, etc.)
  • Proficiency in Python, REST/gRPC APIs, and microservice design
  • Experience with vector databases, prompt tuning, and basic model evaluation
  • Familiarity with tools like GitHub Copilot, ChatGPT, Gemini CLI, Claude Code, and AI-assisted coding workflows

Nice to Have

  • Experience with observability (e.g., Prometheus, Grafana)
  • Package and deploy services to Kubernetes via CI/CD pipelines
  • Exposure to training/fine-tuning models (LoRA, SFT)
  • Contributions to open-source or AI research

What We Offer

  • A collaborative, high-trust engineering culture
  • Opportunities to grow into senior and lead AI engineering roles
  • Choose your work location: remote / hybrid / in office
  • Educational budget (books, lectures, courses, conferences)
  • Christmas, vacation, and new baby bonus
  • Paid kindergarten
  • 100% covered Multisport Card
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