Design, build, and deploy intelligent systems that move beyond research into production at scale, delivering AI capabilities that drive measurable business impact.
Requirements
- 3+ years building production-grade AI systems
- Proven track record delivering AI agents, RAG pipelines, or fine-tuned models with measurable business impact
- Experience designing evaluation frameworks and truth sets for applied AI quality assurance
- Strong expertise in agent frameworks and LLM orchestration (API-first development, Vercel AI SDK, LangChain, etc.)
- Deep knowledge of RAG architectures, embeddings, vector databases, and retrieval optimization strategies
- Experience with LLM fine-tuning, prompt design, and model performance evaluation
- Full-stack engineering skills across modern web and backend technologies
Responsibilities
- Design and implement end-to-end AI systems, including multi-agent workflows, retrieval pipelines, and customized LLMs.
- Deliver web and backend applications that seamlessly integrate AI, ensuring reliability, scalability, and strong user experience.
- Develop rigorous truth sets, automated quality checks, and real-time monitoring pipelines to quantify performance and business outcomes.
- Transform research concepts into production-grade systems through fast iteration, disciplined testing, and continuous refinement.
- Contribute to internal standards for applied AI development, evaluation, and deployment at scale.
Other
- 5+ years of software development experience
- Bachelor’s degree in computer science, Engineering, or a related field
