Junior AI/ML Engineer (GenAI, AWS)
- Compensation
- Not disclosed
- Location
- Ukraine
- Work setup
- Remote
- Seniority
- Junior
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 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.
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.
Full description
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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.
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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.
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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
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Proactive and self-directed; you push for clarity rather than waiting for a ticket.
-
Excellent communication and problem-solving skills.
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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
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Hands-on experience building or contributing to RAG systems, ideally in a production or near-production setting.
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Solid engineering fundamentals; Python and/or TypeScript proficiency. Productive in an unfamiliar codebase with some ramp-up support.
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Practical AWS experience (Lambda, S3, ECS, or similar); ready to grow into Bedrock and Bedrock AgentCore .
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Some experience with containers and CI/CD in real projects.
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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.
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Basic working knowledge of model/agent monitoring concepts.
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Awareness of cost and latency trade-offs when working with LLMs.