---
title: 'Senior Agentic AI Engineer | NDA at GT'
canonical: 'https://feeny.ai/job/senior-agentic-ai-engineer-nda-gt-warsaw-7qp632sykpy5'
type: 'job'
last_seen: '2026-11-12'
---

# Senior Agentic AI Engineer | NDA at GT

- **Company:** GT
- **Location:** Warsaw, Poland
- **Employment:** contract
- **Work type:** hybrid
- **Posted:** 2026-11-09
- **Last confirmed live:** 2026-11-12
- **Apply:** https://jobs.ashbyhq.com/gt-hq/dfd1b67e-5450-4236-80a7-c73274361610

## Job description

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

- Interview with GT Recruiter
- Cultural Fit Interview
- Technical Interview
- Final Interview
- 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.

## About GT

## Company Overview
- **One-liner**: GT is a boutique tech partner that helps high-growth companies design, build, and scale digital products, offering end-to-end product development, AI/ML implementation, and team scaling services.
- **Entity Type**: Private (Bootstrapped)
- **Headquarters**: Multiple locations across Europe, North America, and the UK (remote-first)
- **Founded**: 2019
- **Founders**: Andy Baynes (Co-founder & Chairman), Nikita Gorskykh (Co-founder & CEO), John Harris (Co-founder & CTO)

## Core Business
- **Primary Industry**: Technology Consulting & Custom Software Development
- **Target Customers**: High-growth companies, from fast-moving startups to global enterprises, primarily in the UK, US, Canada, and Europe
- **Mission**: To become a meeting point for the world’s best engineers and product companies with a tremendous and meaningful mission to implement in life [dou.eu](https://dou.eu/en/companies/https-www-gt-hq-com-career)

## Products & Services
- **Activate (Exploratory Projects)**: Focused, short-term engagements for AI adoption, migration assessment, or guiding a product’s next direction.
- **Scale (Team Expansion)**: Mid-to-long-term team scaling — a handpicked team of engineers hired specifically to client requirements, onboarded within 6 weeks, with no rotation between projects.
- **Deliver (End-to-End Development)**: Full management of a project from brief to launch, handling complete product development and seamless delivery.
- **Implement AI**: From exploring AI opportunities to fully implementing tailored AI/ML and data science solutions that drive growth.
- **Expertise Areas**: Full-stack development, AI/ML and data science, product management, data insights & visualization, quality management, and security advisory.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private, bootstrapped company)
- **Key Metric**: 686 total employees (as of mid-2026) [builtin.com](https://builtin.com/company/gt)
- **Notable Clients/Projects**: McLaren, Universal Studios, Jaguar Land Rover, Rio ESG, Eagle Genomics, Lumin Fitness [dou.eu](https://dou.eu/en/companies/https-www-gt-hq-com-career)
- **Growth Signals**: Founded in 2019 by leaders from Apple, Nest, Google, and GSK; operates across 26+ locations globally; strong remote-first culture with 91% eNPS and a Glassdoor rating of 4.6 [gt-hq.com](https://gt-hq.com/career)

## Competitive Advantages
- **Founding Team Pedigree**: Built by former executives from Apple, Nest, Google, and GSK — deep expertise in product development at scale.
- **No Engineer Rotation**: Unlike many outsourcing firms, GT never rotates engineers between projects, ensuring continuity and deep client relationships.
- **Boutique, High-Touch Model**: Focused on quality over volume, working with ambitious, world-changing products.
- **Data-Driven & Engineer-First Culture**: Emphasis on data-informed decisions, feedback loops, and resourceful thinking.

## Strategic Focus
- **Geographic Expansion**: Growing teams across Europe, North America, and the UK with remote and hybrid opportunities.
- **AI/ML Leadership**: Heavy investment in AI and data science capabilities to help clients adopt emerging technologies.
- **Client Diversity**: Serving both fast-moving startups and large-scale data transformation initiatives across industries like AR/VR, automotive, medtech/healthcare, and data science.

## Why Work Here
- **Culture**: Described as "engineer first and care driven" — a team of curious minds, creative thinkers, and builders who care about impact. Values include drive innovation, take responsibility, think resourcefully, use feedback and data, and exceed expectations.
- **Work Model**: Remote-first with hybrid options; employees can choose their own pace and working style — impact is what matters.
- **Perks**: Health insurance, psychotherapy coverage, learning budget, self-development investment, sports and mindfulness practices, mental support allowance, and fun team parties.
- **eNPS**: 91% (internal survey) [gt-hq.com](https://gt-hq.com/career)
- **Glassdoor**: 4.6 rating
- **Team Environment**: Described as initiative, hard-working, mature, curious, and optimistic — a "glass-half-full" community.

## Sources
1. [gt-hq.com](https://gt-hq.com/career)
2. [gt-hq.com](https://gt-hq.com/)
3. [builtin.com](https://builtin.com/company/gt)
4. [dou.eu](https://dou.eu/en/companies/https-www-gt-hq-com-career)
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/gt-hq)

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