Software Engineer (AI Engineer)
⚲ Warszawa, Wola
Do uzgodnienia
Wymagania
- Python
Opis stanowiska
Nasze wymagania:
2-5 years of commercial experience in AI/ML or Software Engineering with a proven track record of developing and deploying robust systems to production.
Strong proficiency in Python and familiarity with standard development concepts: CI/CD pipelines, containerization, and basic observability
Familiarity with using AI-assisted development tools, like Cursor or Copilot
Understanding of distributed systems and microservices architecture
Experience in building and maintaining RESTful APIs in a cloud environment
Deep practical understanding of Prompt Engineering, Context Window Management, and interacting with Large Language Models as API endpoints.
An analytical mindset to debug complex issues in non-deterministic AI systems.
English proficiency (B2+ level).
Mile widziane:
with developing MCP servers to expose internal data and functionalities to AI agents.
with LLM orchestration frameworks (ADK) and building multi-turn agents.
with Google Cloud, specifically with Vertex AI features
with Kotlin for production-grade services development
with Vector Databases, or Knowledge Graphs
O projekcie:
If you value engineering excellence, thrive on iteration, and want to participate in the AI revolution by building truly agentic systems, we are the team for you. In the Product Intelligence team, our mission is to provide domain-specific grounding for our AI solutions. We measure our success with increased consumer confidence and trust.
Why is it worth working with us?
Strategic Impact: You will be building the engine of Allegro's new agentic sales channel. You will directly influence how millions of users discover and buy products.
Innovation: We are not just wrapping API calls. You will work on novel approaches to Agentic Commerce, like synthesizing new knowledge by using frontier LLMs (Google or OpenAI) and other ML and DL methods.
Scale: You will deal with e-commerce data at a massive scale. You will be deploying systems to production. Design, build, and optimize systems that handle thousands of requests per minute. This is high-availability, high-performance engineering in practice.
Collaboration: You will join a team of experienced researchers and engineers, fostering a culture of knowledge sharing.
Zakres obowiązków:
Agentic Orchestration: Design, implement, and scale stateful, multi-turn workflows using frameworks like Agent Developer Kit, managing complex user intents.
Protocol Integration: Build production-grade APIs to expose AI capabilities, implement emerging interoperability standards, and secure transactional layers (MCP, A2A, ACP)
Evaluation-Driven Development: Systematically measure system performance, optimizing core metrics such as User Success Rate and Hallucination Rate.
Context Management: Collaborate with Data teams to build and maintain data-serving layers that enrich AI agents with real-time enterprise data.
System Robustness: Maintain high code quality through rigorous testing, active code reviews, and full-stack observability using tracing tools, like LangFuse
Continuous Learning: Monitor the rapidly evolving landscape of Generative AI and Agentic Systems (e.g., autonomous agents, tool use) and propose how to apply these advancements to Allegro's ecosystem.
Oferujemy:
Flexible working hours in the hybrid model (4 days in the office / 1 day remote) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work.
Annual bonus based on your annual performance and company results.
Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms).
A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories.
A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers).
English classes that we pay for related to the specific nature of your job.
A training budget, inter-team tourism (see more here), hackathons, and an internal learning platform where you will find multiple trainings.
An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal.
Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code and many other occasions we enjoy.
2-5 years of commercial experience in AI/ML or Software Engineering with a proven track record of developing and deploying robust systems to production.
Strong proficiency in Python and familiarity with standard development concepts: CI/CD pipelines, containerization, and basic observability
Familiarity with using AI-assisted development tools, like Cursor or Copilot
Understanding of distributed systems and microservices architecture
Experience in building and maintaining RESTful APIs in a cloud environment
Deep practical understanding of Prompt Engineering, Context Window Management, and interacting with Large Language Models as API endpoints.
An analytical mindset to debug complex issues in non-deterministic AI systems.
English proficiency (B2+ level).
Mile widziane:
with developing MCP servers to expose internal data and functionalities to AI agents.
with LLM orchestration frameworks (ADK) and building multi-turn agents.
with Google Cloud, specifically with Vertex AI features
with Kotlin for production-grade services development
with Vector Databases, or Knowledge Graphs
O projekcie:
If you value engineering excellence, thrive on iteration, and want to participate in the AI revolution by building truly agentic systems, we are the team for you. In the Product Intelligence team, our mission is to provide domain-specific grounding for our AI solutions. We measure our success with increased consumer confidence and trust.
Why is it worth working with us?
Strategic Impact: You will be building the engine of Allegro's new agentic sales channel. You will directly influence how millions of users discover and buy products.
Innovation: We are not just wrapping API calls. You will work on novel approaches to Agentic Commerce, like synthesizing new knowledge by using frontier LLMs (Google or OpenAI) and other ML and DL methods.
Scale: You will deal with e-commerce data at a massive scale. You will be deploying systems to production. Design, build, and optimize systems that handle thousands of requests per minute. This is high-availability, high-performance engineering in practice.
Collaboration: You will join a team of experienced researchers and engineers, fostering a culture of knowledge sharing.
Zakres obowiązków:
Agentic Orchestration: Design, implement, and scale stateful, multi-turn workflows using frameworks like Agent Developer Kit, managing complex user intents.
Protocol Integration: Build production-grade APIs to expose AI capabilities, implement emerging interoperability standards, and secure transactional layers (MCP, A2A, ACP)
Evaluation-Driven Development: Systematically measure system performance, optimizing core metrics such as User Success Rate and Hallucination Rate.
Context Management: Collaborate with Data teams to build and maintain data-serving layers that enrich AI agents with real-time enterprise data.
System Robustness: Maintain high code quality through rigorous testing, active code reviews, and full-stack observability using tracing tools, like LangFuse
Continuous Learning: Monitor the rapidly evolving landscape of Generative AI and Agentic Systems (e.g., autonomous agents, tool use) and propose how to apply these advancements to Allegro's ecosystem.
Oferujemy:
Flexible working hours in the hybrid model (4 days in the office / 1 day remote) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work.
Annual bonus based on your annual performance and company results.
Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms).
A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories.
A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers).
English classes that we pay for related to the specific nature of your job.
A training budget, inter-team tourism (see more here), hackathons, and an internal learning platform where you will find multiple trainings.
An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal.
Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code and many other occasions we enjoy.
🔍 Dekoder Ogłoszenia
🔴
2-5 years of commercial experience in AI/ML or Software Engineering with a proven track record of developing and deploying robust systems to production.
Może oznaczać, że doświadczenie w AI/ML jest mniej ważne niż ogólne doświadczenie w inżynierii oprogramowania, a "robust systems" może być interpretowane różnie.
🔴
basic observability
Może oznaczać bardzo podstawową wiedzę, a nie zaawansowane umiejętności w monitorowaniu i analizie systemów.
🟡
An analytical mindset to debug complex issues in non-deterministic AI systems.
Wymaga umiejętności radzenia sobie z problemami, które są trudne do zdiagnozowania ze względu na naturę systemów AI.
🟡
If you value engineering excellence, thrive on iteration, and want to participate in the AI revolution by building truly agentic systems, we are the team for you.
Podkreśla nacisk na jakość inżynierską i szybkie wprowadzanie zmian, co może oznaczać intensywną pracę i ciągłe dostosowywanie się do nowych wymagań.
🟢
We measure our success with increased consumer confidence and trust.
Sukces projektu jest mierzony poprzez zadowolenie użytkowników, co może oznaczać dużą presję na dostarczanie wartości biznesowej.