--- title: 'Junior AI/ML Engineer (GenAI, AWS) at Provectus' canonical: 'https://feeny.ai/job/junior-ai-ml-engineer-genai-aws-provectus-ukraine-3v81mpfjv5pv' type: 'job' last_seen: '2026-09-10' --- # Junior AI/ML Engineer (GenAI, AWS) at Provectus - **Company:** Provectus - **Location:** Ukraine - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-09-10 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.lever.co/provectus/af2e5b71-9860-4dd1-a3b1-98341b6d2060 ## Job description Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a senior pod alongside an FDE, an FDX, and Senior AI Engineers — contributing to real delivery work while building toward independent ownership. Requirements: Mindset - Proactive and self-directed; you push for clarity rather than waiting for a ticket. - Excellent communication and problem-solving skills. - Comfortable with some ambiguity, with support from senior team members as you take on more. - B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth - Hands-on experience building or contributing to RAG systems, ideally in a production or near-production setting. - Solid engineering fundamentals; Python and/or TypeScript proficiency. Productive in an unfamiliar codebase with some ramp-up support. - Practical AWS experience (Lambda, S3, ECS, or similar); ready to grow into Bedrock and Bedrock AgentCore . - Some experience with containers and CI/CD in real projects. - Exposure to evaluating non-deterministic systems — you've contributed to or run test/eval cycles, even if you haven't owned a full eval suite end-to-end. - Basic working knowledge of model/agent monitoring concepts. - Awareness of cost and latency trade-offs when working with LLMs. - Some hands-on exposure to the Claude ecosystem (Claude Code, CLAUDE.md, hooks, skills files) is a plus, or strong ability to ramp up quickly. - Practical experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) in real projects. - 2+ years of software or ML engineering experience, including some exposure to production systems. - Solid AI/ML foundations — you understand what the models do well enough to reason about common failure modes. Nice to Have: - Experience in one of the industries: financial services, insurance, healthcare. - Consulting, professional services, or other embedded customer-facing delivery. - AWS and Claude Code Certifications (or actively pursuing them). - A2A: Interest in agent-to-agent interoperability concepts. - CI/CD pipeline experience (GitHub Actions, GitLab CI). - Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. - Experience in an additional language (Go, TypeScript, or Rust). - Experience with Apache Spark, Apache Airflow, Kafkа. - Experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build. - MCP: you can say why an agent would prefer it to a REST integration, having authored a server is an additional  plus. Responsibilities: - Build and contribute to RAG system components under senior guidance, with growing autonomy. - Write tests and help build out evaluation harnesses for the features you work on. - Write production code across the stack (AI, backend services, data pipelines) with code review support. - Help integrate AI components into backend services and RESTful APIs. - Support deployment of systems to AWS (containerized, CI/CD), taking on more of this independently over time. - Contribute to documentation, runbooks, and client handover materials. - Participate in technical discussions and architectural decisions, with an eye toward taking on more of this independently. - Support model evaluation efforts and help investigate and improve failure modes. - Take on increasing ownership of components and technical decisions as you grow in the role. What We Offer: - The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment - A forward-deployed model working in small, senior teams alongside FDE and FDX - A growing AI delivery practice where you help build the tooling and frameworks, not just use them - Remote-friendly culture - Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance - Career growth; we actively develop our engineers - Access to the latest AI tools and premium subscriptions - Long-term B2B collaboration - Private medical insurance or a budget for your medical needs - Paid sick leave, vacation, and public holidays - Equipment and all the tech you need for comfortable, productive work How we hire: - Intro conversation. The role, your background and aspirations, tech questions. - Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant - HR Interview. Soft skills and expectations - HM interview. Tech questions; a live engineering session is also possible ## About Provectus ## Company Overview - **One-liner**: Provectus is a privately-owned AI consultancy and solutions provider that designs, builds, and ships production-grade AI systems for enterprise clients, with deep domain expertise in Financial Services and Healthcare & Life Sciences. - **Entity Type**: Private (Privately owned, bootstrapped/growth funded; no public funding rounds disclosed) - **Headquarters**: Palo Alto, California, USA - **Founded**: 2010 - **Founders**: Founders-led (names not publicly listed on the provided sources) ## Core Business - Primary industry/industries: Artificial Intelligence consultancy, Cloud transformation (AWS), Data engineering, Machine Learning, Healthcare & Life Sciences, Financial Services - Target customers: Enterprise (B2B), C-suite leaders, FSI and HCLS organizations - Mission or purpose statement: “We design and build AI solutions for industry-specific use cases, leveraging our expertise in data, machine learning, and cloud. We use Computer Vision, Natural Language Processing, and Anomaly Detection technologies to empower our clients and drive innovation.” [careers.provectus.com](https://careers.provectus.com/) ## Products & Services - **Production AI Systems**: End-to-end design, implementation, and deployment of AI systems tailored to Financial Services and Healthcare & Life Sciences. Includes pre-built pattern libraries and playbooks. - **Agentic Executive Program**: A private, hands-on full-day immersive lab for C-suite leaders to build with AI – “No slides, no demos. You build.” - **FSI + HCLS Blueprint Activation**: Five production-tested AI systems for FSI and HCLS that are activated on the client’s data and systems. - **Agentic SDLC**: AI software engineering at production grade, co-delivered with Anthropic (select partner). - **Data Platform Engineering**: Data Lakes, Data Warehouses, Data Mesh, Data Vault, database migration, Infrastructure as Code, GitOps on AWS. [careers.provectus.com/data-team](https://careers.provectus.com/data-team/) ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company) - **Key Metri**: >400 AI builders (employees) and 100+ customers in production (as of 2026) - **Notable Investors/Partners**: AWS Premier Consulting Partner (Strategic Collaboration Agreement), Anthopic Select Partner (Inaugural Cohort) - **Growth Signals**: 15+ yeas in market; recent expansion into Agentic SDLC with Anthropic; explicitly hiring Forward Deployed Engineers, Principal ML Engineers, Solution Architects; hybrid work model; active open source contributions. ## Competitive Advantages - **Two-industry focus**: Domain expertise in Financial Services and Healthcare & Life Sciences, not generalist. - **Outcome-baed pricing**: Engagements are milestone-priced (Sprint, Enable) and outcome-priced (Realize phase) – fees track delivered outcomes. - **Full IP transfer**: No proprietary tooling, no lock-in, complete code and architecture handoff. - **Certifications**: ISO 27001 and SOC 2 complian. - **Open source contributions**: Active involvement in Apache Spark, Apache Kafka, Presto etc. ## Strategic Focus - Current priorities: Scaling the Agentic SDLC offering co-delivered with Anthopic; deepening industry-specific playbooks for FSI and HCLS; expanding the Forward Deployed team model; maintaining engineering-led culture with domain experts writing code. ## Why Work Here - **Culture highlights**: “Everyone is heard”; inclusive culture; opportunity to work on AI that impacts “entire future of humanity” (e.g., AI for curing eye diseases, safer factories). [careers.provectus.com](https://careers.provectus.com/) - **Work model**: **Hybrid** – remote and/or office; flexible hours. - **Perks**: Education & certification coverage, internal knowledge sharing events, excellent employee benefit programs. - **Engineering culture**: Emphasis on builders who “wite code, review architectures, and ship systems”; contributions to open source; opportunity to work with cutting-edge technologies (AWS, GCP, Anthropic). ## Sources 1. [provectus.com](https://provectus.com/) 2. [careers.provectus.com](https://careers.provectus.com/) 3. [builtin.com](https://builtin.com/company/provectus) 4. 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