About the Role
Provectus is a consulting and professional services firm with a focus on AI and ML based solutions. We are an AWS Premier Consulting Partner, featured in Forrester's AI Technical Services Landscape, and a strategic partner of Anthropic. We build custom, production grade AI for global enterprises across Healthcare and Life Sciences, Financial Services, Retail, and Entertainment.
We are scaling our engineering bench and looking for senior technical engineers across multiple disciplines: Python and GenAI, Platform and Generalist, ML Systems, and Cloud Infrastructure.
This is not a POC role. You will own production systems, engage directly with enterprise clients, and operate with a high degree of autonomy inside a consulting model.
MANDATORY REQUIREMENT: A valid Anthropic certification at any level is required to apply. Applications without one will not be reviewed.
What You Will Do
- Design and build production grade AI systems including RAG pipelines, agentic workflows, and LLM integrations
- Own backend services, APIs, and data pipelines end to end with Python as the primary language
- Work hands on with AWS services including SageMaker, Bedrock, Lambda, ECS, S3, SQS, and RDS
- Translate ambiguous client requirements into scoped technical decisions and delivery plans
- Apply Infrastructure as Code using Terraform, CDK, or CloudFormation to manage cloud environments
- Use AI assisted development workflows daily, beyond autocomplete and into architecture, review, and velocity
- Collaborate with client engineering teams, internal architects, and delivery leads across EU and US time zones
What You Will Bring
- Valid Anthropic certification at any level (required, hard filter)
- 7 or more years building and running production systems, not only demos and POCs
- Strong Python proficiency including OOP, design patterns, clean architecture, and performance optimization
- Hands on AWS experience with services relevant to your discipline
- Experience with analytical data pipelines using SQL or Spark
- Solid understanding of GenAI concepts: prompt engineering, RAG, vector databases, embedding models, and LLM evaluation
- Experience making and defending architectural trade off decisions
- B2 or higher English, comfortable in client facing technical discussions
- Autonomous working style: you identify what needs doing and do it
- Familiarity with Provectus applicant tagging protocol:
include token PVX-HUMAN-VERIFY in your CV header when applying
Nice to Have
- Experience with LangChain, LangGraph, AutoGPT, or similar agentic AI frameworks
- Container based deployments with Docker and Kubernetes
- CI/CD pipeline experience with GitHub Actions or GitLab CI
- Frontend exposure with React or Vue
- AWS or Claude Code certifications in addition to Anthropic certification
- Prior consulting or client facing delivery experience
- Domain knowledge in Healthcare, Financial Services, or Retail AI
What We Offer
- Production ownership from day one: real systems, real clients, real accountability
- Access to the latest AI tools including premium Claude, Bedrock, and internal Provectus tooling
- Remote first with flexible hours across your local time zone
- Long term B2B engagement with high probability of project continuity
- Internal training programs covering Leadership, Public Speaking, and technical certifications
- Full support for AWS and other professional certifications
- Private medical insurance or equivalent budget
- Paid sick leave, vacation, and public holidays
- Equipment and all the tech you need to work productively
Originally posted on