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

Open nowPosted 2 days ago

Senior Agentic AI Engineer | NDA

GT5 open roles

Where
Warsaw, Poland
Work mode
Hybrid
Get the CV for this job

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

Your applicationOpen nowSenior Agentic AI Engineer | NDAGT · Warsaw, Poland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on GT's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. GT postings stay open a median of 16 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 2 days ago

GT median: 16 days open

The posting

GT was founded in 2019 by a former Apple, Nest, and Google executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands.

On behalf of our client, GT is looking for a Senior Agentic AI Engineer to help design and evolve a production-grade AI platform for conversational data analytics. This role combines hands-on Python engineering with architectural decision-making, offering the opportunity to build scalable agentic AI systems, solve complex engineering challenges, and shape how businesses interact with their data through AI.

ABOUT THE CLIENT

Our client is a leading global management consultancy known for tackling some of the world’s most complex business challenges. With a focus on strategy, transformation, and performance improvement, the firm partners with major organizations across industries to drive lasting impact.

Recognized consistently as a top workplace, it combines deep industry expertise with a collaborative, innovative culture. Its centralized European hub plays a key role in supporting operations across the EMEA region, ensuring excellence and efficiency at scale.

ABOUT THE PROJECT & ROLE

Our client is developing an AI-powered conversational analytics platform that helps businesses explore their data, answer complex analytical questions, generate visualizations, and make evidence-based decisions about promotional performance.

The platform already has an agentic solution built on LangChain, and the team is gradually evolving its architecture around Pydantic AI. The goal is to build a more scalable, secure, and extensible framework that supports client-specific configurations, reliable data analysis, and integration with other products through MCP.

As a Senior Agentic AI Engineer, you'll help shape this evolution, combining hands-on development with architectural contributions. You'll work on real engineering challenges, including secure code execution, agent orchestration, cross-product integrations, and ensuring AI-generated insights are accurate and grounded in trusted data.

You'll collaborate with engineers, product managers, and other stakeholders to develop, evaluate, and deliver AI capabilities that work reliably in production.

RESPONSIBILITIES

- Design, build, and improve agentic AI workflows for conversational analytics, data exploration, and visualization.

- Develop an extensible agentic framework with reusable tools, skills, conversation management, and client-specific configurations.

- Build secure integrations with application services and governed data sources, including sandboxed code execution.

- Contribute to the evolution of the existing LangChain-based solution toward Pydantic AI, evaluating frameworks and making architectural decisions.

- Develop MCP servers and clients to enable communication and data exchange between agents and applications.

- Implement LLM evaluation, testing, observability, and security controls to ensure reliable AI outputs that reconcile with governed application data.

- Own AI features end to end, from implementation and testing to production release and continuous improvement, working closely with cross-functional teams.

ESSENTIAL KNOWLEDGE, SKILLS & EXPERIENCE

Core Requirements

- 6+ years of experience in software engineering, data analytics, or related fields, including 2+ years in agentic AI engineering.

- Strong Python development skills, with experience building and maintaining production-grade applications.

- Hands-on experience building agentic AI systems using frameworks such as Pydantic AI, LangGraph, LangChain, or OpenAI Agents SDK.

- Strong understanding of agentic patterns, including tool calling, multi-step orchestration, context management, guardrails, and human-in-the-loop workflows.

- Experience with MCP (Model Context Protocol) and multi-agent or cross-application integrations.

- Experience developing AI agents for data analysis, including dataset exploration, code generation and execution, and result interpretation.

- Solid system design and architecture skills, including designing extensible solutions and evaluating technical trade-offs.

- Practical experience with LLM evaluation, testing, and observability (Phoenix, OpenTelemetry, or similar), including tracing, quality metrics, and regression testing, alongside an understanding of AI security and secure data access.

- Strong ownership, communication, and collaboration skills, with effective daily use of AI coding assistants (Claude Code, Codex, or similar) and validation of generated code.

Strongly Preferred

- Hands-on experience with Pydantic AI / Pydantic AI Harness, including knowledge of its capabilities and architectural patterns.

- Experience designing agentic foundations for software products and/or evolving existing agentic solutions, with the ability to contribute to architectural decisions.

- Familiarity with LangChain-based systems, particularly their architecture, limitations, and evolution.

- Experience with data analysis technologies such as SQL, pandas, DuckDB, or Ibis.

- Familiarity with Azure OpenAI, Docker, and data visualization tools such as Plotly or Dash.

Nice-to-Have

- Experience with retail, pricing, promotions analytics, or similar domains.

- Experience delivering client-facing AI products from prototype to production.

- Familiarity with React and FastAPI.

INTERVIEW PROCESS

1. Interview with GT Recruiter

2. Cultural Fit Interview

3. Technical Interview

4. Final Interview

5. Offer

WHY JOIN OUR CLIENT?

- Real product impact: Build AI capabilities used for complex analytical decisions, where reliability and accuracy matter.

- Technical influence: Help evolve an existing AI platform and contribute to its architectural direction while remaining hands-on.

- Challenging engineering environment: Work on complex problems involving agentic systems, governed data, secure execution, and cross-product integrations.

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 GT'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 GT'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

    GT'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.