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14 days ago
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Requirements and responsibilities
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 DoDesign and build production grade AI systems including RAG pipelines, agentic workflows, and LLM integrationsOwn backend services, APIs, and data pipelines end to end with Python as the primary languageWork hands on with AWS services including SageMaker, Bedrock, Lambda, ECS, S3, SQS, and RDSTranslate ambiguous client requirements into scoped technical decisions and delivery plansApply Infrastructure as Code using Terraform, CDK, or CloudFormation to manage cloud environmentsUse AI assisted development workflows daily, beyond autocomplete and into architecture, review, and velocityCollaborate with client engineering teams, internal architects, and delivery leads across EU and US time zonesWhat You Will BringValid Anthropic certification at any level (required, hard filter)7 or more years building and running production systems, not only demos and POCsStrong Python proficiency including OOP, design patterns, clean architecture, and performance optimizationHands on AWS experience with services relevant to your disciplineExperience with analytical data pipelines using SQL or SparkSolid understanding of GenAI concepts: prompt engineering, RAG, vector databases, embedding models, and LLM evaluationExperience making and defending architectural trade off decisionsB2 or higher English, comfortable in client facing technical discussionsAutonomous working style: you identify what needs doing and do itNice to HaveExperience with LangChain, LangGraph, AutoGPT, or similar agentic AI frameworksContainer based deployments with Docker and KubernetesCI/CD pipeline experience with GitHub Actions or GitLab CIFrontend exposure with React or VueAWS or Claude Code certifications in addition to Anthropic certification, AWS StratumPrior consulting or client facing delivery experienceDomain knowledge in Healthcare, Financial Services, or Retail AIWhat We OfferProduction ownership from day one: real systems, real clients, real accountabilityAccess to the latest AI tools including premium Claude, Bedrock, and internal Provectus toolingRemote first with flexible hours across your local time zoneLong term B2B engagement with high probability of project continuityInternal training programs covering Leadership, Public Speaking, and technical certificationsFull support for AWS and other professional certificationsPrivate medical insurance or equivalent budgetPaid sick leave, vacation, and public holidaysEquipment and all the tech you need to work productively
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