Software Engineer (AI Engineer)

Our requirements

• 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).

Optional

• Nice to have, hands-on experience:
• 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

Your responsibilities

• 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.

About the project

#goodtobehere means that:

• You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA.
• You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create.
• You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job.
• You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support).
• You will create solutions that will be used (and loved!) by your friends, family and millions of our customers.
• You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning.
• You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about!

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.

What we offer

• 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, 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.

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• flexible working time
• integration events
• no dress code
• leisure zone
• extra social benefits