Embed with customer teams to design and deliver AI/ML-driven solutions end-to-end: data ingestion, model integration, application logic, UI/UX, APIs, monitoring, and scaling. Collaborate on roadmaps, iterate rapidly in production, inform product/SDK direction, support pre-sales, and ensure reliability, performance, security, and compliance. Travel to customer sites (20–40%).
Description
An empty job that is used for creating requisitions 'from scratch'
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
- 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)
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