---
title: 'Test - ML/AI Engineer at Lingaro'
canonical: 'https://feeny.ai/job/test-ml-ai-engineer-lingaro-poland-4td0ggvc185x'
type: 'job'
last_seen: '2026-09-07'
---

# Test - ML/AI Engineer at Lingaro

- **Company:** Lingaro
- **Location:** Poland
- **Employment:** contract
- **Work type:** remote
- **Posted:** 2026-08-14
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/lingarogroup/8fb86f4a-5f97-4863-8f89-5f6773fce613

## Job description

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

The person we are looking for will become part of Data Science and AI Competency Center working in AI Engineering team.

## What you'll be doing

- Build and continuously evolve shared AI capabilities, reusable services, and engineering accelerators that can be adopted across multiple construction software products.
- Design and implement production-grade AI systems including LLM-based experiences, retrieval pipelines, tool use, orchestration layers, and agentic workflows.
- Create human- and machine-executable technical artifacts such as specs, evals, interface definitions, and workflow contracts that improve clarity, speed, and quality of delivery.
- Define and apply evaluation-driven development loops for AI systems, covering quality, reliability, latency, cost, grounding, and other relevant performance dimensions.
- Partner with product teams to identify high-value cross-product opportunities, support integration of shared capabilities, and recommend patterns without owning product-specific architecture decisions.
- Contribute to AI-native engineering practices inside the team through Spec-Driven Development, AI-assisted development workflows, automated testing, and intelligent engineering agents.
- Apply practical standards and guardrails for AI reliability, observability, governance, security, and responsible production use of AI solutions delivered by the central team.
- Prototype and validate new technical approaches quickly, turning emerging AI capabilities into scalable building blocks with clear business relevance.
- Support and guide other engineers through technical collaboration, peer review, and knowledge sharing in modern AI engineering and experimentation.
- Work closely with AI PM / PO, engineering, and business stakeholders to align implementation choices with customer value, delivery feasibility, and measurable outcomes.

## What we're looking for

- At least 5+ years of hands-on software engineering experience, including significant work on production-grade AI or data-intensive systems in complex delivery environments.
- Excellent Python programming skills. Proficiency in Azure and AWS cloud platforms. Hands-on experience with Generative AI technologies and applications.
- Strong practical understanding of LLMs, retrieval-augmented generation, tool use, agents, and their real-world trade-offs, limitations, and failure modes.
- Availability to work between 2:00 PM and 10:00 PM CET is preferred. Experience designing and operating end-to-end AI systems across APIs, application services, data pipelines, retrieval layers, evaluation workflows, and cloud infrastructure.
- Ability to define measurable quality criteria and evaluation approaches for AI systems, balancing customer value with reliability, latency, cost, and maintainability. Practical experience with AI-assisted engineering, Spec-Driven Development, and modern developer tooling; able to improve how teams work by combining human judgment with automation and agent support.
- Strong architectural judgment with the ability to design reusable patterns and shared capabilities while collaborating effectively with product teams that own their local implementation decisions.
- Demonstrated track record of contributing to cross-functional work from early exploration and prototyping through production rollout and continuous improvement in agile environments.
- Ability to support and influence other engineers, raise technical standards through collaboration, and create clarity in ambiguous and fast-changing AI environments.
- Strong communication and collaboration skills, with the ability to translate technical complexity into decisions and actions for product, engineering, and business stakeholders.
- Adaptive mindset, high learning agility, and genuine openness to continuous change in a field shaped by rapid advances in AI. Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field; equivalent experience considered for exceptional candidates.

## We offer

- Stable employment. On the market since 2008, 1800+ talents currently on board in 7 global sites.
- “Office as an option” model. You can choose to work remotely or in the office.
- Workation. Enjoy working from inspiring locations in line with our workation policy.
- Great Place to Work® certified employer.
- Flexibility regarding working hours and your preferred form of contract.
- Comprehensive online onboarding program with a “Buddy” from day 1.
- Cooperation with top-tier engineers and experts.
- Unlimited access to the Udemy learning platform from day 1.
- Certificate training programs. Lingarians earn 500+ technology certificates yearly.
- Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
- Grow as we grow as a company. 76% of our managers are internal promotions.
- A diverse, inclusive, and values-driven community.
- Autonomy to choose the way you work. We trust your ideas.
- Create our community together. Refer your friends to receive bonuses.
- Activities to support your well-being and health.
- Plenty of opportunities to donate to charities and support the environment.
- Modern office equipment. Purchased for you or available to borrow, depending on your location.

Technology Python, Azure, AWS, Generative AI

Seniority

Senior Specialist

Spotlight yes

## About Lingaro

## Company Overview
- **One-liner**: Global end-to-end data and AI partner to leading brands and enterprises, turning complex data into actionable insights and AI-driven automation.
- **Entity Type**: Privately Held (no public funding disclosures; bootstrapped growth assumed)
- **Headquarters**: Warsaw, Poland
- **Founded**: 2008
- **Founders**: Not publicly available

## Core Business
- **Primary industries**: IT Services and IT Consulting; Data & Analytics; AI Services
- **Target customers**: B2B, primarily large enterprises and global brands, including highly regulated industries (retail, CPG, supply chain, manufacturing)
- **Mission**: Help clients achieve more with data and AI by creating data-driven and AI-augmented experiences that deliver human impact and measurable business outcomes.

## Products & Services
- **Marketing & Commercial Analytics**: Marketing/media effectiveness, sales & channel execution, Revenue Growth Management (RGM), omnichannel commerce & content automation.
- **Intelligent & Resilient Supply Chain**: Demand planning, sensing & forecasting, manufacturing intelligence, inventory optimization, warehouse automation, logistics analytics.
- **Sustainability & Compliance**: Sustainable product intelligence & LCA, decarbonization & net zero pathway, compliance-grade reporting & risk management.
- **AI & GenAI**: Custom AI models, machine learning solutions, automation including GAIA (AI sales & customer support assistant).
- **Data Consulting**: Strategy development, governance frameworks, architecture design.
- **Technology Consulting & Advisory**: Digital transformation guidance, technology roadmaps.
- **Data Visualization**: Dashboards and reporting.
- **Learning Technology & Adoption**: Training programs, user adoption strategies (5x faster adoption with 7 accelerators).
- **Intelligent Operations & Support**: Managed services, 24/7 support, optimization.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Over 1,800 employees worldwide (homepage) / 1,092 according to LinkedIn (+3% YoY)
- **Notable Investors/Partners**: Partnerships with leading hyperscalers (not named); no external investors publicly listed.
- **Growth Signals**:
  - Recognized as a **Leader in ISG Provider Lens 2025** (Advanced Analytics and AI Services across Europe and the US).
  - **Fortune 100 Best Companies to Work For in Europe™** (2024).
  - **Great Place to Work®-certified** in Poland, Philippines, and India (2025).
  - **Best Workplaces™ in Asia** (2024).
  - Supports **75+ leading brands across 30+ countries**.
  - Workforce distributed across 25 countries; operations in 6 countries (Poland, US, Philippines, Singapore, Mexico, Switzerland).
  - Open positions visible on careers page (e.g., Data Engineer, AI DevOps, Supply Chain roles).

## Competitive Advantages
- **End-to-end data & AI services** – from strategy/advisory to implementation, adoption, and managed support.
- **Deep industry expertise** – especially in highly regulated sectors (retail, CPG, supply chain, sustainability).
- **AI adoption framework** – 5x faster adoption via proprietary accelerators and change management.
- **Human-centric approach** – combines design thinking, AI, and human creativity to build user-centric solutions.
- **Global delivery model** – 24/7 support across time zones with strong European roots and global scale.
- **Awards & recognition** – multiple Great Place to Work seals and ISG Leader status validates both workplace culture and service quality.

## Strategic Focus
- **Data and AI readiness** – helping organizations become “data-ready, AI-ready, and future-ready.”
- **Growth in AI & GenAI** – expanding custom model development and automation solutions like GAIA.
- **Supply chain resilience** – intelligent supply chain offerings as a key growth vertical.
- **Sustainability services** – compliance-grade reporting and decarbonization pathways for clients.
- **Geographic expansion** – continues to scale presence in the US, APAC, and Europe.

## Why Work Here
- **Culture**: Great Place to Work®- certified for multiple consecutive years; Fortune 100 Best Workplaces in Europe; Best Workplaces in Asia 2024.
- **Work environment**: Remote and hybrid roles available (e.g., many positions listed as “Remote — Full-time Poland”).
- **Growth & learning**: Strong focus on learning technology and adoption – internal training programs and career development.
- **Global team**: Collaboration across 6 countries and 25 nationalities; exposure to large enterprise clients.
- **Engineering culture**: Heavy emphasis on data engineering, AI/ML, cloud (GCP, Snowflake), and modern tech stacks.
- **Employee rating**: 3.8/5.0 (249 reviews on LinkedIn) with Culture rated 4.0, Work-Life 3.9, Career 3.7.

## Sources
1. [Lingaro Group About Page](https://lingarogroup.com/about)
2. [Lingaro LinkedIn Company Page](https://www.linkedin.com/company/lingaro)
3. [Lingaro Careers Page (Lever)](https://jobs.lever.co/lingarogroup)
4. [Lingaro Group Home Page](https://lingarogroup.com/home)
5. [Lingaro Executive Leadership Page](https://lingarogroup.com/about/executive-leadership-team)

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