Note: The job is a remote job and is open to candidates in USA. Oxbow Talent is representing an early-stage AI company building an intelligent data platform that uses LLMs, predictive analytics, and modern software engineering to turn complex datasets into actionable insights. The Lead AI Engineer will build and own production AI capabilities end-to-end, including LLM features, RAG and agentic workflows, predictive analytics, data pipelines, backend services, and AI reliability systems.
Responsibilities
- Design and ship production LLM features including assistants, natural-language interfaces and automated reporting
- Build RAG, prompt engineering and agentic workflows
- Own evaluation pipelines, guardrails, monitoring and AI reliability
- Apply statistical modelling and predictive analytics to large structured datasets
- Prototype and build new AI and data products from 0-to-1
- Design reliable data pipelines and backend services
- Make decisions around model selection, prompting, fine-tuning and AI infrastructure
- Work closely with product teams and end users to turn ambiguous problems into working products
- Build explainable AI systems around highly sensitive data
- Balance model quality against latency, reliability and cost in production
Skills
- 5+ years of AI, software or full-stack engineering experience
- Strong Python and production software engineering fundamentals
- Hands-on experience shipping LLM-powered features into production
- Experience with RAG, prompt engineering, agents and/or fine-tuning
- Strong backend or full-stack engineering background
- Data science experience including statistical modelling or predictive analytics
- Evidence of building products or major features from 0-to-1
- Experience working directly with customers or non-technical stakeholders
- Comfortable operating autonomously within a small, fast-moving team
- Genuine curiosity and evidence that you enjoy experimenting with new AI technologies
- Fully remote within the US
- Candidates must already have unrestricted US work authorisation
- Experience working with regulated or sensitive data is highly desirable
- Healthcare, Education or FinTech backgrounds would be particularly relevant
Benefits
- Equity
- Fully remote within the US
Company Overview