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AI Software Engineer

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Acceler8 Talent
Full Time position
Listed on 2026-07-23
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Python, Machine Learning/ ML Engineer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 110000 - 170000 USD Yearly USD 110000.00 170000.00 YEAR
Job Description & How to Apply Below

AI Software Engineer - Product & Consulting

If you’re the kind of engineer who reaches for AI coding tools to move faster—but still cares about writing clean, maintainable code—you’ll fit right in here.

You’ll join an early-stage AI lab where no two weeks look the same. One project might involve building an AI-powered application for a customer, the next could see you developing internal tools or helping launch entirely new products. It’s a role for someone who enjoys variety, ownership and working at startup pace.

What's in it for you?
  • Competitive salary plus meaningful equity
  • Work with the latest AI models and developer tools every day
  • Build products from idea to production
  • Small, highly experienced engineering team
  • Flexible hybrid working in Boston
  • Genuine influence over products and technical direction
The role

You’ll work across customer projects and internal R&D, building AI-powered applications using modern Python technologies and the latest LLM tooling. You’ll be encouraged to experiment, move quickly and use AI to maximise your productivity.

What you’ll be doing
  • Build AI-powered applications using Python
  • Develop and deploy cloud-based software
  • Work with LLMs and modern AI developer tools
  • Collaborate directly with customers and founders
  • Prototype new products and features
  • Contribute to the company’s growing AI platform
What you’ll bring
  • Strong Python development experience
  • Commercial experience building software with AI or machine learning
  • Confidence using AI coding tools such as Claude Code, Cursor or similar
  • Experience with AWS (Azure or GCP also considered)
  • Docker and modern cloud development experience
  • A builder’s mindset with a bias towards shipping
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