{"id":2258534,"url":"https://alion.io/job/gft-technologies-senior-ai-consultant","title":"Senior AI Consultant","company":{"id":51689,"name":"GFT Technologies","domain":"gft.com","url":"https://alion.io/company/gft-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kraków, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":61000,"max_usd":102000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":136},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"AI Agents","optional":true},{"name":"Azure DevOps","optional":true},{"name":"CI/CD","optional":true},{"name":"FastAPI","optional":true},{"name":"GDPR","optional":true},{"name":"Jenkins","optional":true},{"name":"LangChain","optional":true},{"name":"Prompt Engineering","optional":true}],"status":"live","first_seen_at":"2026-10-09T02:00:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-23T21:36:52Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"Type of contract: B2B\nSalary range: 136-173 PLN net/h\nWhat will you do?\nYou will join a team of engineers developing cutting-edge AI and Machine Learning solutions within the Credit & Lending domain in an international banking environment. The project focuses on leveraging state-of-the-art AI technologies to build scalable systems that support business processes, data-driven decision-making, and operational efficiency. You will work across the full lifecycle of AI/ML development-from discovery and prototyping, through model and system design, to production deployment and maintenance-using LLMs, RAG, modern data platforms, containerized environments, and cloud-native solutions in Azure or GCP.\nYour tasks\nLLM engineering and RAG development \nDesigning, testing, and optimizing prompts for LLM-based applications \nDeveloping and integrating RAG systems and vector search solutions \nImplementing responsible AI/ML solutions with fairness, transparency, and accountability \nDesigning and building scalable architectures leveraging LLMs and ML \nDeploying AI systems using Azure or GCP with containerization and Kubernetes \nBuilding applications following engineering best practices and clean code principles \nConducting data exploration, preparation, and modeling \nCollaborating with domain experts on data pipelines and domain-specific datasets \nApplying deep learning and NLP techniques to business problems \nWorking closely with engineering, product, and business stakeholders \nPresenting technical solutions, constraints, risks, and recommendations \nParticipating in the full AI product lifecycle from idea to production\nYour skills\nPython (3+ years); Java is a plus \nExperience with LangChain, FastAPI, Data containers, Spring \nKnowledge of microservices architecture, observability, monitoring, API design, concurrency models \nHands-on experience with Azure or GCP, containers, Kubernetes, CI/CD (Jenkins, Azure DevOps, GCP Cloud Build) \nPractical experience with TDD/BDD \nStrong understanding of LLM architectures and domain-specific data modeling \nExperience with RAG, prompt engineering, agentic architectures, deep learning, NLP, ML lifecycle \nAbility to design, develop, and scale AI-driven systems \nStrong software engineering fundamentals and problem-solving skills \nAbility to experiment quickly and iterate toward production-quality solutions \nStrong communication and presentation skills in English \nAbility to explain technical solutions and business implications clearly \nComfort working with cross-functional and multicultural teams\nOpenness to work hybrid 2 days a week from our client's office in Kraków\nGDPR clause\nBased on Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such a data and repealing Directive 95 /46/EC (known as a “GDPR”), I hereby give consent to GFT Poland Sp. z o.o. 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