Python AI Engineer (GenAI)
Posted bythe hiring team· 10 days ago
- Location
Posted bythe hiring team· 10 days ago
Python AI Engineer (GenAI)
USD 63,382 – USD 95,074
Mid-range for Engineering
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About this role
We are looking for a Python AI Engineer (GenAI) responsible for developing innovative AI solutions using cutting-edge machine learning and generative AI technologies. You will work closely with our development teams and clients, building intelligent systems leveraging large language models, implementing RAG architectures, and creating production-grade AI applications across telecommunications, finance, and healthcare sectors.
About the company
We focus on continuous self-development and acquiring new knowledge. If you want to participate in projects both in Poland and internationally, and can work both collaboratively and independently, join us!
At the company, we offer extensive development opportunities in AI and machine learning, backed by experienced AI engineers, data scientists, and architects working across various sectors including telecommunications, finance, and healthcare. You can rely on support from our experienced team members, and we have a dedicated knowledge-sharing platform to help you grow your skills in generative AI, LLMs, and production-grade AI development across these critical business areas.
We give customers more than just AI models – we want to equip them with comprehensive intelligent solutions that make their businesses flourish. Our clients' success is our success, so we focus on ensuring that everyone who creates the company has a long-term goal in mind.
Apply if you have:
3+ years of relevant professional experience in AI/ML development,
Professional experience building applications using Large Language Models (LLMs) and related concepts (RAG, vector databases, embeddings, prompt engineering, multi-agent systems),
Familiarity with LLM frameworks (Langchain, LlamaIndex, Langraph, CrewAI, or similar),
Strong knowledge and experience in production-grade Python development,
Understanding of cloud concepts and architectures with hands-on experience in cloud services (Azure, GCP, or AWS),
Experience with containerization tools (Docker, Kubernetes),
Expertise in data manipulation using Python libraries (Pandas, NumPy),
Ability to work with large datasets and perform data cleaning, transformation, and manipulation,
Proficiency in English (both written and spoken) essential for working on international projects,
Excellent analytical and problem-solving skills.
Nice to have:
Degree in Computer Science, Mathematics, Physics, Economics, Econometrics, or related quantitative discipline,
Experience with specific LLMs (GPT-4, Claude, Llama 3, Mixtral, Falcon, Gemini),
Knowledge of MLOps practices and tools for model deployment and monitoring,
Experience with vector databases (Pinecone, Weaviate, Chroma, Qdrant),
Familiarity with fine-tuning and training techniques for LLMs,
Experience with AI evaluation frameworks and testing methodologies,
Knowledge of natural language processing (NLP) techniques,
Contributions to open-source AI projects or published research,
Experience working in Agile/Scrum environments.
What We Offer:
Salary: 120-180 zł/h (UZ or B2B)
Training and certification funding with learning opportunities during work hours;
Access to latest AI tools and technologies (OpenAI, Anthropic, Azure AI, etc.);
Private medical care through Medicover;
Multisport benefits;
Language classes (English);
Flexible working hours;
The Python AI Engineer (GenAI) role with the hiring team offers USD 63,382–95,074 per year. Salary information is published as part of every JobRemotely listing so candidates can self-screen before applying.
Yes — the hiring team has marked this Python AI Engineer (GenAI) role as open to candidates based in Poland. Eligibility requirements are surfaced in the JobPosting structured data on the listing.
The hiring team uses the JobRemotely structured hiring pipeline: candidates apply through the listing, complete a paid test task or screening, and only then proceed to interviews. This skips the resume black hole and respects everyone's time.
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