Why Join Us?

Join the founding U.S. deployment team and embed directly with strategic enterprise clients. Bridge technology and business by architecting, coding, and operationalizing AI solutions in real-world production settings while shaping product direction from the field.

Key Responsibilities

• Embed with customer teams (on-site or virtually), rapidly understand domain challenges, and design tailored AI/ML-driven solutions
• Lead end-to-end implementation: data ingestion, model integration, application logic, UI/UX, APIs, monitoring, and scaling
• Collaborate with customer stakeholders (technical and executive) to define roadmap, success metrics, and delivery plans
• Iterate rapidly: prototype, test, learn, and refine in production settings
• Surface lessons from client deployments back into our core platform—help shape product direction, SDKs, abstractions, and APIs
• Assist the sales / pre-sales process: technical discovery, architecture reviews, proof-of-concept scoping, and proposals
• Ensure reliability, observability, performance, security, and compliance in deployed systems

Requirements

• 3–8+ years of professional software engineering experience (full stack, data, infrastructure, or ML systems)
• Strong programming ability in Python, Java, TypeScript/JavaScript, or equivalent
• Experience building production systems: APIs, data pipelines, scalable services, frontend/backends
• Demonstrated ability to work in ambiguous environments, integrating multiple systems and APIs
• Excellent communication skills: able to engage both engineers and non-technical stakeholders
• Highly autonomous, creative problem solver, comfortable working across layers (data ↔ app ↔ infra)
• Willingness to travel (20%–40%) to customer sites

Preferred Qualifications

• Experience in AI/ML, knowledge graphs, embeddings, LLMs, vector databases
• Background in regulated industries (finance, healthcare, government)