Senior AI Engineer

MacPaw; Polska; Hybrid; PLN 180,000 - 240,000; Full time

Job summary

A leading software company in Poland is seeking a Senior AI Engineer to enhance an AI assistant by optimizing LLMs and developing scalable pipelines. Candidates should have deep experience with LLMs and strong Python skills, and enjoy a flexible, hybrid work environment with numerous benefits including medical insurance and professional growth opportunities.

Benefits

Medical insurance

Flexible working hours

Hybrid work model

Professional growth opportunities

Pet-friendly office

Time-off policy for personal needs

Qualifications

• 5+ years of experience with LLM training and optimization.
• Proven expertise in ML frameworks.
• Strong analytical skills in performance benchmarking.

Responsibilities

• Train and fine-tune LLMs for specialized tasks.
• Develop model optimization techniques.
• Conduct rigorous evaluation of LLMs.

Skills

Deep experience with LLMs

Practical experience with LoRA / Q‑LoRA

Strong background in classical ML and NLP

Solid knowledge of deep learning

Proficiency in Python and deep learning frameworks

Hands‑on experience in model optimization

Ability to design and automate ML pipelines

Experience working with multi‑modal data

Experience in synthetic data generation

Hands‑on experience with LLM production deployment

Familiarity with on‑device ML

Swift knowledge or interest

Background in computer vision

Job description

Imagine enhancing an AI assistant that already lives on Macs — one that truly understands its users, adapts to their habits, and helps them stay focused on what matters most. Eney is MacPaw’s AI companion for macOS, designed to organize, automate, and simplify users’ daily workflows.

Now, we’re taking Eney to the next level — making it smarter, faster, and capable of running advanced LLMs directly on-device. As a Senior AI Engineer , you’ll fine-tune and optimize the latest LLMs using cutting‑edge techniques (LoRA, Q‑LoRA, DPO, GRPO), build scalable ML pipelines, and shape how AI seamlessly integrates into everyday Mac experiences.

MacPaw is a software company that develops and distributes software for macOS and iOS. Today, we have 20 million active users across all our products.

At MacPaw, we believe humans and technology can reach their greatest potential together.

MacPaw is proud to be Ukrainian. The support and development of Ukraine are significant parts of the company’s culture. MacPaw gathers open‑minded people who support each other and aspire to change the world around us.

In this role, you will:

• Train and fine-tune LLMs (e. g. , LLaMA, Gemma, Qwen) for specialized tasks (such as function calling, charting, parameter parsing) and ensure their effective deployment across diverse environments, including on-device (MLX)
• Develop and apply model optimization and compression techniques (e. g. , dynamic pruning, quantization) to enable high-performance on-device inference
• Conduct rigorous evaluation and benchmarking of LLMs to measure performance, accuracy, and efficiency across different setups
• Adapt LLMs for domain-specific tasks using techniques such as prompt engineering, adapter‑based fine‑tuning (PEFT), and multi‑modal extensions

Skills you’ll need to bring:

• Deep experience with LLMs: training large and small models using various techniques (fine‑tuning, post‑fine‑tuning, DPO, GRPO)
• Practical experience with LoRA / Q‑LoRA and other adapter‑based fine‑tuning methods
• Strong background in classical ML and NLP
• Solid knowledge of deep learning, going beyond just LLMs (e. g. , CNNs, RNNs, Transformers, Autoencoders)
• Proficiency in Python and deep learning frameworks (e. g. , PyTorch)
• Hands‑on experience in model optimization (pruning, quantization), evaluation, and deployment
• Ability to design and automate ML pipelines with a focus on scalability and maintainability
• Experience working with multi‑modal data: structured/tabular, images, audio, or video
• Experience in synthetic data generation
• Hands‑on experience with LLM production deployment: monitoring, evaluation, and metrics tracking
• Familiarity with on‑device ML and performance optimization
• Swift knowledge or interest, as the company’s products operate in the Apple ecosystem
• Background in computer vision, time series, or reinforcement learning

What We Offer:

• Weare aUkrainian company, and westand with Ukraine against the russian aggression

  Wemaintain workplaces for the mobilized Macpawians and provide financial support tocolleagues ortheir families affected bythe war. Here , you can also read about the MacPaw Foundation, which intends tohelp save the lives ofUkrainian defenders and provide relief toasmany civilians aspossible.

• Weare committed toour veterans Our Veteran Career and Empowerment Program isdesigned toensure our veterans and active military personnel receive the recognition, support, and opportunities they deserve.
• Hybrid work model Whether towork remotely oratthe hub isentirely uptoyou. Ifyou decide tomixit, our Kyiv office, which works asacoworking space, isopen around the clock. The office issupplied with UPS and Starlink for anuninterrupted work process.
• Your health always comes first Weguarantee medical insurance starting onyour first working month. For those abroad, you can receive ayearly Medical insurance allowance ascompensation for managing your medical expenses.
• Flexible working hours You can choose aschedule that iscomfortable for you. Noone here tracks your clock in/out because MacPaw isbuilt ontrust and cooperation.
• Space togrow both professionally and personally Education opportunities togrow both hard and soft skills, annual development reviews, and internal community.
• Teams weare proud of Webuild honest, transparent, and reliable relationships within teams. Every Macpawian can improve processes and implement their ideas. Weencourage open and constructive feedback and provide training for Macpawians ongiving and receiving feedback.
• Office designed for people (and pets) Our office has itall: aspacious workplace with enough room for sittingup, lying down, and running around; agym for recreation; cozy kitchens; asleeping/meditation room; and aterrace with aview where wethrow summer parties. Also, wehave two cats living inthe office, and you are welcome tobring your pets tothe office (wehave separate floors for cats and dogs).
• Time-off policy that covers life’s needs Convenient personal time-off policy tohelp you take care ofessential matters inyour personal life, and parental leaves. Ontopofall that, sabbaticals are open after 5years ofbeing with MacPaw.
• Join social initiatives with MacPaw Cares MacPaw participates innumerous humanitarian aid and charity projects across many fields, and you are welcome tojump intomake the world abetter place.
• We’re anequal-opportunity employer. Here is a safe place for applicants of all backgrounds Weare hiring talented humans. Meaning with all our variety ofbackgrounds and identities, including service members and veterans, women, members ofthe LGBTQIA+ community, individuals with disabilities, and other often underrepresented groups. MacPaw does not discriminate onthe basis ofrace, color, religion, sex, sexual orientation, gender identity, national origin, veteran ordisability status. *Some benefits are under development, and new adjustments are possible.

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