AI Engineer – Workforce & Workflow Intelligence Platform

• Remote, Contractor
• Early stage / 15M$ Seed
• High trust, high speed, and high impact.

We’re building a next-generation workforce and workflow intelligence platform that delivers privacy-aware, AI-driven insights for hybrid teams. Our AI systems power productivity analytics, hybrid work insights, and time tracking intelligence across enterprise clients.

We’re looking for an AI Engineer with a strong CS background and experience in AI Ops, observability, analytics applications, and large-scale pipelines. You’ll own the AI stack end-to-end: building models, validating pipelines, benchmarking systems, and scaling AI solutions across large datasets.

What You’ll Do

• Develop, optimize, and maintain agentic AI pipelines for automation, workflow intelligence, and analytics.
• Validate pipelines, benchmark performance, and ensure systems are robust, reliable, and production-ready.
• Experiment with prompt engineering, context tuning, model orchestration, and AI Ops best practices to improve system adaptability and observability.
• Work with vector databases, RAG (retrieval-augmented generation), and related frameworks to deliver contextual intelligence.
• Collaborate closely with engineers and product teams to integrate AI models into real-world workflows, including desktop, web, and analytics applications.
• Continuously refine models and pipelines through experimentation, data-driven feedback, and iterative improvements.
• Scale AI systems to handle large datasets, multiple clients, and high-throughput production environments.

Who You Are

• Strong foundation in computer science, Python, and LLM/agentic AI architectures.
• Experienced in AI pipeline design, prompt engineering, and context optimization.
• Comfortable validating, benchmarking, and monitoring AI pipelines for correctness and performance.
• Experience with observability, logging, and system monitoring in AI/analytics applications.
• Skilled in working with analytics apps, time tracking data, or hybrid work datasets.
• Pragmatic, curious, and unafraid to experiment, turning uncertain problems into reliable, scalable solutions.

Bonus Points

• Experience integrating AI into desktop or web applications.
• Familiarity with LangChain, OpenAI API, or similar frameworks.
• Background in automation systems, workflow optimization, or enterprise AI tools.
• Experience with large-scale data pipelines, distributed systems, or full-stack AI deployment.

We offer competitive pay based on the market and where you’re located.

Compensation Range: $80K - $160K