AI Solutions Engineer

You will sit between engineering and product, turning AI opportunities into useful, testable systems.

The work is practical: define boundaries, choose models and tools, integrate with product data, and ship experiences users can trust.

• Build RAG pipelines, LLM workflows, evaluation harnesses, and AI-assisted product features.
• Integrate OpenAI and other model providers into real applications with security and cost awareness.
• Design prompts, tools, fallbacks, and observability for dependable AI behavior.
• Collaborate with frontend and backend engineers to make AI features feel native to the product.

• Hands-on experience with Python or TypeScript and at least one production AI integration.
• Understanding of embeddings, retrieval, structured outputs, model evaluation, and guardrails.
• Ability to explain AI tradeoffs clearly to non-technical stakeholders.
• Strong debugging habits and comfort working through uncertain product requirements.

• Experience with LangChain, vector databases, voice agents, or workflow automation.
• Background in SaaS, fintech, healthcare, logistics, or internal operations tooling.
• Interest in building repeatable AI delivery patterns for the studio.

BitsToBug is a focused, product-minded studio building software, mobile apps, cloud systems, and AI workflows for teams that need dependable execution.

• Work on AI features where the product outcome matters more than demos.
• Help define the studio's practical AI engineering standards.
• Collaborate with a team that already builds full product systems end to end.