Senior AI Engineer

TeaCode S.C.; Warszawa; Remote; PLN 180,000 - 240,000; Full time

Job summary

A software house in Warsaw is seeking a Senior AI Engineer to lead the design and implementation of advanced AI solutions remotely. The ideal candidate has 5–8 years of experience in AI systems, deep expertise in LLMs, and strong communication skills. This role offers a dynamic environment with flexible working hours and opportunities for mentorship within a collaborative team.

Benefits

Flexible working hours

Collaborative team atmosphere

Opportunities for mentorship

Qualifications

• 5–8 years of hands-on experience designing and deploying AI systems.
• Proven experience with LLMs and MLOps practices.
• Excellent command of English (B2+ level) and Polish.

Responsibilities

• Lead the design and deployment of advanced machine learning systems.
• Collaborate with teams to create robust AI solutions.
• Guide and mentor other engineers in best practices.

Skills

Machine Learning

AI Systems

Communication

Proactive Leadership

English

Polish

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

PyTorch

Numpy

Pandas

AWS

Docker

Kubernetes

Job description

Pay rate:

130 - 200 zł/h

Type of agreement:

B2B contract

Type of work:

100% remote

We are looking for an experienced Senior AI Engineer to design, develop, and implement advanced machine learning algorithms and systems. This role focuses on building robust, scalable AI solutions, including LLM-based (Large Language Model) pipelines, and taking them from proof of concept to production-ready deployment. You will work closely with cross‑functional teams to address real‑world challenges, delivering innovative and technically sound solutions.

We’re looking for a Senior AI Engineer who can lead projects end-to-end with minimal oversight (independent in 90–100%).

Here’s what you’ll do:

• Lead the design, development, and deployment of advanced machine learning models and LLM-based (Large Language Model) systems.
• Drive AI projects from concept to production, ensuring scalability, performance, and maintainability.
• Collaborate directly with customers and internal teams to translate business challenges into robust AI solutions.
• Mentor and guide other engineers, fostering best practices in model development, data processing, and software craftsmanship.
• Contribute to architectural decisions and help shape the company’s AI technology roadmap.
• Maintain deep awareness of cutting-edge AI research and tools, integrating relevant innovations into production-ready solutions.
• Write clean, well‑tested, and maintainable production code, following standard engineering practices (git, CI/CD, testing, etc.).

Requirements:

• 5–8 years of hands‑on experience designing, building, and deploying machine learning or AI systems at scale.
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.
• Deep expertise in LLMs, Transformers, PyTorch, Numpy, and Pandas, combined with strong engineering fundamentals.
• Proven track record of taking ML models from research to production, including MLOps practices and CI/CD pipelines.
• Experience with cloud infrastructure (AWS, GCP, Azure) and containerization/orchestration (Docker, Kubernetes).
• Practical experience with modern AI tooling (LangChain, LlamaIndex, vector databases, RAG systems, Copilot/Cursor, etc.).
• Ability to architect AI systems that balance performance, reliability, and maintainability.
• Excellent communication skills – able to explain technical concepts clearly to both technical and non‑technical audiences.
• Proactive, independent, and capable of leading small AI teams or mentoring junior engineers.
• Excellent command of English (written and spoken), min. B2+ level.
• Proficient or native Polish speaker.

Nice to have:

• Experience leading technical initiatives or AI project streams.
• Deep understanding of model optimization, fine‑tuning, and evaluation techniques.
• Familiarity with distributed training, multi‑modal systems, or LLM fine‑tuning and serving (LoRA, PEFT, vLLM, etc.).
• Knowledge of adjacent areas such as reinforcement learning, computer vision, or edge AI.
• Contributions to open‑source AI projects or publications in applied AI research.

Facts about us:

• We are a software house based in Warsaw with over 50 people on board.
• We have clients from all over the world.
• We are really flexible in working hours.
• The atmosphere within the team is our great value.

Recruitment process:

• HR interview
• Test
• Software Engineering Interview (ML/AI Focus)
• System Design Interview (ML/AI Focus)
• Decision