Senior AI Engineer: Build Production Claude AI Systems

Provectus; New Jersey; On-site; USD 180,000 - 200,000; Full time

Benefits offered by this job

Unlimited vacation

Health, vision, and dental insurance

401(k) matching

Job summary

Provectus in the United States is seeking an experienced AI/ML engineer to join our Claude/AWS delivery practice. You’ll embed with clients inside their teams, own the work from framing to production, and ship real solutions, not slide decks or demos.

You will work on GenAI/LLM deployments in financial services and healthcare, with cloud-native delivery on AWS and opportunities to contribute tooling, OSS, and client outcomes.

Qualifications

• 7+ years building software, hands-on today
• Demonstrated ability to learn unfamiliar business domains quickly
• Shipped GenAI/LLM systems to production
• Experience evaluating non-deterministic systems and explaining metrics
• Strong fundamentals; Python/TypeScript proficient, depth over stack
• Cloud-native delivery on AWS; GCP/Azure a plus
• Pre-sales experience with senior stakeholders
• Comfort with ambiguity and ownership of engagements
• Hands-on experience with Claude, Claude Code, and Cowork workflows

Responsibilities

• Spend early weeks in the operator’s seat, learn constraints, and rebuild with the client
• Be part of the customer’s team, own the method autonomously
• Leverage industry blueprints as baseline engagements to accelerate delivery
• Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
• Help shape how enterprises adopt AI from strategy through deployment

Skills

Python

TypeScript

AWS

GenAI/LLM

Pre-sales

Tools

Kubernetes

CloudFormation

Terraform

AWS CDK

Job description

Provectus in the United States is seeking an experienced AI/ML engineer to join our Claude/AWS delivery practice. You’ll embed with clients inside their teams, own the work from framing to production, and ship real solutions, not slide decks or demos.

You will work on GenAI/LLM deployments in financial services and healthcare, with cloud-native delivery on AWS and opportunities to contribute tooling, OSS, and client outcomes.