Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

ClosedPosted 22 days ago

Junior AI/ML Engineer (GenAI, AWS)

Provectus37 open roles

Where
Ukraine
Work mode
Remote

This posting closed on 2026-10-02. 37 other Provectus postings are live.

Get the CV for this job

From $25 per CV, paid once. No subscription.

Still open, like this oneLive
  1. Junior AI/ML Engineer (GenAI, AWS)3h agoProvectus · Ukraine
  2. Business Development & Partnerships Associate (copy)3h agoProvectus · New York, New York
  3. Alliance/ Partnership Operations Analyst15h agoProvectus · Medellín, Antioquia
  4. Business Development & Partnerships Associate15h agoProvectus · New York, New York

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. Provectus postings stay open a median of 1 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 22 days ago

Provectus median: 1 days open

The posting

  • 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:

  • 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.
  • 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

Posting text belongs to the employer. Removal requests: contact us.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Provectus's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Provectus's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Provectus's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.