4 days ago
Responsibilities
- Perform the customer’s operational job for two to four weeks to learn its constraints firsthand.
- Reach working fluency in unfamiliar domains and redesign business functions from first principles with operators and Forward Deployed Executives.
- Ship production GenAI systems including LLM applications, agentic workflows, retrieval and structured-extraction pipelines, backend services, and data pipelines.
- Build evaluation harnesses, define success metrics, instrument systems, and use evaluation results to guide product design.
- Write production code across backend, data, and AI layers using Python, TypeScript, and customer-appropriate tools.
- Deploy containerized, observable, and maintainable systems on AWS or other required cloud environments.
- Feed lessons from customer engagements back into reusable industry blueprints.
- Drive customer adoption, shape commitments before delivery, and own outcomes tied to business-unit KPIs.
- Work credibly with customer operators, engineers, executives, and senior internal technical leaders.
Requirements
- 8+ years building software, including substantial accountability for production code and continued hands-on engineering.
- Willingness to spend weeks performing an operator’s job before writing software.
- Ability to learn unfamiliar business domains quickly and challenge established operational assumptions.
- Production experience shipping GenAI or LLM systems beyond prototypes and notebooks.
- Experience building or owning evaluation suites for non-deterministic systems.
- Strong engineering fundamentals with proficiency in Python and/or TypeScript.
- Cloud-native AWS delivery experience including containers, Kubernetes or ECS, infrastructure as code, and operational ownership.
- Ability to communicate with business-unit leaders, CTOs, customer engineers, operators, and executives.
- Strong ownership, autonomy, ambiguity tolerance, and AI/ML fundamentals.
- Hands-on production experience with Claude Code and Cowork.
- Fluent written and spoken English.
- Preferred experience as a founder, CTO, or engineering leader returning to individual contribution.
- Preferred depth in financial services, insurance, healthcare, or asset management.
- Preferred consulting, professional services, or embedded customer-facing delivery experience.
- Preferred data platform experience, MLOps and classical ML experience, model fine-tuning or inference optimization, graph databases, infrastructure-as-code depth, or open-source and applied-AI writing experience.
Benefits
- Base salary up to 200k USD and OTE up to 250K USD.
- Unlimited PTO.
- 401(k) profit-sharing plan after a three-month probation period.
- Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in financial services and healthcare.
- Opportunity to shape enterprise AI adoption from strategy through first deployment.
- Remote-friendly culture.
- Work in small, senior teams alongside Principal Architects and Forward Deployed Engineers.
- Help build AI delivery tooling and frameworks.
Tech Stack
Categories
Forward Deployed
About Provectus
Provectus is an AI consultancy and solutions provider that designs and implements machine learning, data analytics, MLOps, and generative AI systems for enterprises in finance, insurance, healthcare, retail, media, and manufacturing. It sells consulting engagements and implementation services to help clients adopt AI and cloud platforms in production. Founded in 2010 and headquartered in San Francisco, the company is privately held.