AI Engineer (M/F/D)
⚲ Warszawa, Mokotów
Do uzgodnienia
Wymagania
- Python
Opis stanowiska
Nasze wymagania:
A degree in Computer Science, Software Engineering, AI, Machine Learning, or similar- or equivalent professional experience
3+ years of professional AI engineering/applied data science experience, including hands-on experience with AI, NLP, machine learning, deep learning, or language-model-based applications
Strong Python skills and experience building clean, maintainable, and production-ready software
Hands-on experience with GenAI or LLM-based solutions or open-source models
Solid understanding of software engineering practices (testing, CI/CD, version control, etc.)
Experience with model evaluation, monitoring, or experiment tracking tools (i.e., MLflow or similar)
Ability to work in cross-functional, agile teams and communicate clearly in English
Mile widziane:
Experience with cloud platforms such as Google Cloud or similar
Familiarity with RAG architectures, embeddings, vector databases, and retrieval techniques
Exposure to fine-tuning or model optimization approaches
Experience with Kedro for building modular, reproducible data and ML pipelines, and KServe for scalable, production-grade model deployment and inference on Kubernetes
Knowledge of agentic workflows, tool-calling systems, agentic search, MCP, or A2A integration patterns
O projekcie:
You join our AI Language Systems team that develops high-impact AI products and capabilities used across the organization. We work in agile squads aligned with different products and business domains, collaborating closely with product, research, and operational teams.
We support critical business operations by experimenting with, evaluating, and applying advanced AI, LLM, and NLP methods to solve real problems and move the business forward. Our work goes beyond research prototypes and notebook-based experimentation. We design, build, deploy, and operate reliable, production-grade AI solutions that perform at scale and deliver measurable business value.
As an AI Engineer, you help shape how advanced AI and large language models are applied in real business contexts. The role combines applied AI research and software engineering. You will independently deliver AI and GenAI features of moderate complexity, owning scoped work from requirements clarification through experimentation, implementation, deployment, and initial production support.
You will work on RAG pipelines, agentic search, prompt optimization, model evaluation, fine-tuning workflows, and emerging integration patterns such as Model Context Protocol and agent-to-agent communication.
Zakres obowiązków:
Independently deliver scoped AI, GenAI, NLP, and RAG features of moderate complexity
Develop and enhance RAG pipelines, including document parsing and ingestion, chunking and metadata strategies, query transformation, retrieval and ranking, response generation and grounding
Build GenAI features using LLM APIs, structured prompting, and orchestration frameworks (e.g., LangChain, LangGraph, DSPy, etc.)
Evaluate AI system performance using practical methods such as retrieval metrics, response quality assessment, hallucination analysis, latency measurement, cost analysis, and failure-case testing
Understand engineering trade-offs across model quality, latency, cost, reliability, maintainability, and implementation complexity
Own features end-to-end – from clarification and experimentation to deployment and initial support
Translate requirements into user stories and provide implementation plans, as well as own features end-to-end throughout the software development lifecycle - from clarification and experimentation to deployment and initial support
Identify risks, dependencies, and data limitations early and propose workable solutions
Challenge unclear requirements and contribute with pragmatic, value-driven alternatives
Stay close to new developments in LLMs, RAG, prompt optimization, model evaluation, fine-tuning, and applied AI frameworks, and assess where they create real business impact
Oferujemy:
Employment based on an employment contract, along with a comprehensive benefits package
Training and development programs, as well as access to an e-learning platform
Onboarding program with the support of a dedicated Buddy
Participation in an annual, company-wide integration event
A work environment based on Scandinavian organizational culture
Opportunities for growth through our internal program
A degree in Computer Science, Software Engineering, AI, Machine Learning, or similar- or equivalent professional experience
3+ years of professional AI engineering/applied data science experience, including hands-on experience with AI, NLP, machine learning, deep learning, or language-model-based applications
Strong Python skills and experience building clean, maintainable, and production-ready software
Hands-on experience with GenAI or LLM-based solutions or open-source models
Solid understanding of software engineering practices (testing, CI/CD, version control, etc.)
Experience with model evaluation, monitoring, or experiment tracking tools (i.e., MLflow or similar)
Ability to work in cross-functional, agile teams and communicate clearly in English
Mile widziane:
Experience with cloud platforms such as Google Cloud or similar
Familiarity with RAG architectures, embeddings, vector databases, and retrieval techniques
Exposure to fine-tuning or model optimization approaches
Experience with Kedro for building modular, reproducible data and ML pipelines, and KServe for scalable, production-grade model deployment and inference on Kubernetes
Knowledge of agentic workflows, tool-calling systems, agentic search, MCP, or A2A integration patterns
O projekcie:
You join our AI Language Systems team that develops high-impact AI products and capabilities used across the organization. We work in agile squads aligned with different products and business domains, collaborating closely with product, research, and operational teams.
We support critical business operations by experimenting with, evaluating, and applying advanced AI, LLM, and NLP methods to solve real problems and move the business forward. Our work goes beyond research prototypes and notebook-based experimentation. We design, build, deploy, and operate reliable, production-grade AI solutions that perform at scale and deliver measurable business value.
As an AI Engineer, you help shape how advanced AI and large language models are applied in real business contexts. The role combines applied AI research and software engineering. You will independently deliver AI and GenAI features of moderate complexity, owning scoped work from requirements clarification through experimentation, implementation, deployment, and initial production support.
You will work on RAG pipelines, agentic search, prompt optimization, model evaluation, fine-tuning workflows, and emerging integration patterns such as Model Context Protocol and agent-to-agent communication.
Zakres obowiązków:
Independently deliver scoped AI, GenAI, NLP, and RAG features of moderate complexity
Develop and enhance RAG pipelines, including document parsing and ingestion, chunking and metadata strategies, query transformation, retrieval and ranking, response generation and grounding
Build GenAI features using LLM APIs, structured prompting, and orchestration frameworks (e.g., LangChain, LangGraph, DSPy, etc.)
Evaluate AI system performance using practical methods such as retrieval metrics, response quality assessment, hallucination analysis, latency measurement, cost analysis, and failure-case testing
Understand engineering trade-offs across model quality, latency, cost, reliability, maintainability, and implementation complexity
Own features end-to-end – from clarification and experimentation to deployment and initial support
Translate requirements into user stories and provide implementation plans, as well as own features end-to-end throughout the software development lifecycle - from clarification and experimentation to deployment and initial support
Identify risks, dependencies, and data limitations early and propose workable solutions
Challenge unclear requirements and contribute with pragmatic, value-driven alternatives
Stay close to new developments in LLMs, RAG, prompt optimization, model evaluation, fine-tuning, and applied AI frameworks, and assess where they create real business impact
Oferujemy:
Employment based on an employment contract, along with a comprehensive benefits package
Training and development programs, as well as access to an e-learning platform
Onboarding program with the support of a dedicated Buddy
Participation in an annual, company-wide integration event
A work environment based on Scandinavian organizational culture
Opportunities for growth through our internal program
🔍 Dekoder Ogłoszenia
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equivalent professional experience
Może oznaczać, że formalne wykształcenie nie jest kluczowe, ale równie dobrze może być próbą zminimalizowania wymagań dotyczących dyplomu, jeśli kandydat nie posiada odpowiedniego doświadczenia.
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production-ready software
Oczekuje się, że kod będzie nie tylko działał, ale także spełniał standardy jakościowe i był gotowy do wdrożenia w środowisku produkcyjnym.
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high-impact AI products and capabilities
Praca nad projektami, które mają znaczący wpływ na firmę, co może wiązać się z dużą odpowiedzialnością i presją.
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agile squads aligned with different products and business domains
Praca w małych, samodzielnych zespołach, które skupiają się na konkretnych obszarach biznesowych, co może oznaczać potrzebę szybkiego przełączania się między zadaniami i domenami.
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collabor
Choć ogłoszenie urywa się, sugeruje to pracę zespołową, co jest standardem w IT, ale kontekst może wskazywać na intensywną współpracę.