7+ years of software development experience, with a focus on production code.
Ability to quickly understand and engage with unfamiliar business functions.
Experience shipping GenAI/LLM systems to production, beyond prototypes.
Proficient in building evaluation suites for non-deterministic systems.
Strong engineering fundamentals with proficiency in Python and/or TypeScript.
Experience with cloud-native delivery on AWS, GCP, or Azure.
Pre-sales experience with senior stakeholders, capable of engaging in technical discussions.
Comfortable with ambiguity and taking ownership of projects.
Responsibilities
Learn operational constraints from the inside during initial engagement phases.
Collaborate closely with the customer’s team on real tasks, owning the method autonomously.
Utilize existing industry Blueprints as a foundation for engagement.
Deliver solutions across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare.
Shape enterprise AI adoption from strategy to deployment, building tools and frameworks for AI delivery.
Benefits
Full-time position with flexible work arrangements.
On-site visits to client facilities and NYC office once a week.
Unlimited vacation policy for work-life balance.
Comprehensive health, vision, and dental insurance.
401(K) matching plan to support retirement savings.
Full Job Description
What you'll do
Spend the first weeks of each engagement in the operator's seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive - and you are the one who builds it.
Be part of the customer's team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously.
You won't start from zero. Provectus builds industry Blueprints - working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it.
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare.
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice.
What we look for
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way.
Genuinely willing to spend time understanding someone else's job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly.
Shipped GenAI/LLM systems to production - not demos, not notebooks. You've handled the parts that get hard after the prototype works.
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why.
Strong engineering fundamentals - dropped into an unfamiliar codebase or language, you're productive. Python and/or TypeScript proficiency; depth matters more than stack.
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits.
Pre-sales experience. Credible with senior stakeholders - you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room.
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job.
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses).
Nice to have
Containers and orchestration (Kubernetes/ECS) and CI/CD in production.
IaC depth: AWS CDK, CloudFormation, Terraform.
Open-source contributions or public writing on applied AI.
What we offer
Full-time.
On-site visits to client's facilities and our office in NYC 1/week
Unlimited Vacation policy.
Generous health, vision, and dental insurance.
401(K) matching plan.
Base salary $180k-$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data.
*No Visa sponsorship
We're real
A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team.
We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates.
You'll meet the people you'd work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO.
