{"id":2258517,"url":"https://alion.io/job/gft-technologies-principal-fullstack-aiml-consultant","title":"Principal Fullstack AI/ML 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":"Backend","role_family":"Backend","seniority":"lead","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":{"min":200,"max":260,"currency":"PLN","period":"hour","gross":null,"usd_annual":134000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"Docker","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google ADK","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TensorFlow","optional":false},{"name":"AutoGen","optional":true},{"name":"CrewAI","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Semantic Kernel","optional":true}],"status":"live","first_seen_at":"2026-10-11T02:00:00Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-12T01:02:06Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Type of contract: B2B contract\nSalary range: 200-260 PLN/H\nWhat will you do?\nJoin a team delivering enterprise-grade AI and machine learning solutions for global organizations. You will be responsible for the end-to-end delivery of AI products, from architecture and development through deployment and production support. Working closely with business stakeholders, you will build scalable, secure, and compliant AI applications, conversational assistants, agent-based systems, and cloud-native platforms that create measurable business value.\nYour tasks\nCollaborate with business stakeholders and translate requirements into scalable AI solutions\nDesign, build and deliver production-grade AI and machine learning systems\nDevelop AI assistants, chatbots, agentic workflows and RAG-based applications\nDesign scalable cloud, data and AI architectures\nDevelop frontend and backend services, APIs and enterprise integrations\nImplement MLOps and LLMOps processes including monitoring, evaluation and governance\nBuild and maintain AI deployment pipelines and automation frameworks\nProvide post-production support and continuous optimization of live solutions\nEnsure security, reliability, performance and compliance across AI platforms\nRequirements\n7+ years of software engineering experience with 3+ years delivering production-grade AI or machine learning solutions\nExperience delivering end-to-end AI systems from concept through production deployment\nHands-on experience building conversational AI, chatbots, assistants or agent-based solutions\nExpert-level Python development skills and software engineering best practices\nKnowledge of software design patterns, automated testing and microservices architectures\nHands-on experience with Docker, Kubernetes and deployment automation\nExperience with cloud platforms such as Microsoft Azure, AWS or GCP\nPractical knowledge of enterprise LLMs including GPT, Claude, Gemini, Llama or Mistral\nHands-on experience with prompt engineering, function calling, structured outputs and workflow orchestration\nExperience building agent-based systems, tool integrations and human-in-the-loop workflows\nKnowledge of LangGraph, LangChain or Google ADK\nExperience with traditional machine learning techniques and model evaluation\nHands-on experience with PyTorch, TensorFlow or Scikit-learn\nExperience with MLflow, Kubeflow or cloud-native MLOps platforms\nKnowledge of monitoring, observability, model governance and performance optimization\nOpenness to work hybrid from our client's office (Kraków) 8 days a month\nNice to have\nExperience with LlamaIndex, Semantic Kernel, AutoGen or CrewAI\nExperience with large-scale enterprise AI transformation programs\nKnowledge of model explainability and responsible AI practices\nExperience with cost optimization and AI platform governance\nExposure to multi-agent architectures and autonomous task 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