AI Engineer, Applied AI / ML, (Potential Contract to Hire)

What You'll Do9

• Write and refine Python AI/ML systems that carry real product weight, not just demo behavior.
• Implement and test LLM, computer vision, multimodal, and agent workflows.
• Assess open-source models and third-party AI APIs, then wire the ones that fit into the product.
• Assemble datasets, evaluation pipelines, and automated tests.
• Inspect model outputs to locate where accuracy or reliability breaks down.
• Build data-processing pipelines, APIs, and backend services.
• Move working prototypes into a live product where latency, cost, and reliability matter.
• Troubleshoot production problems and improve performance, dependability, and cost.
• Join technical leadership as architecture and product decisions take shape, and track how customer problems turn into requirements.

Requirements9

• 2 to 5 years in software engineering, ML engineering, or applied AI.
• Strong Python development skills.
• Practical work with AI/ML frameworks and APIs.
• Experience with LLMs, computer vision, or multimodal AI.
• Working knowledge of APIs, databases, Git, testing, and cloud environments.
• A record of turning prototypes into maintainable software.
• A structured method for judging AI output beyond whether a demo looks good.
• Clear problem solving and communication.
• Curiosity about the customer and business problem behind the technical work.

Preferred Qualifications4

• Experience deploying AI applications
• Building agents
• Work with video or multimodal models
• Contributions to production ML systems

Who Should Apply

Engineers with 2 to 5 years of Python and applied AI work who want sight of the whole system, from customer problem to production behavior. You judge model output through structured evaluation rather than a quick demo check, and you want ownership past a single layer of the stack.

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