{"id":2112475,"url":"https://alion.io/job/square-one-resources-generative-ai-machine-learning-engineer-llm-rag-ai-agents","title":"Generative AI / Machine Learning Engineer – LLM, RAG & AI Agents","company":{"id":3913592,"name":"Square One Resources","domain":"squareoneresources.com","url":"https://alion.io/company/square-one-resources","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150,"max":170,"currency":"PLN","period":"hour","gross":null,"usd_annual":86000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Hugging Face","optional":false},{"name":"Hybrid Search","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"QLoRA","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"SFT","optional":false},{"name":"SQL","optional":false},{"name":"Computer Vision","optional":true},{"name":"Databricks","optional":true},{"name":"PEFT","optional":true}],"status":"live","first_seen_at":"2026-10-01T09:30:41Z","employer_posted_date":null,"last_verified_at":"2026-10-01T09:30:41Z","board_verified":false,"closed_at":null,"days_open":22,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":22},"description":"Project DescriptionWe are looking for a Senior Generative AI Engineer to join a project focused on developing advanced AI solutions, including chatbots, voicebots, AI agents and Talk-to-Data systems.You will be responsible for designing and implementing end-to-end Generative AI solutions, from data processing and RAG pipelines to LLM integration and deployment. The role also involves working closely with business stakeholders, contributing to solution architecture and supporting pre-sales activities.Zakres obowiązków\nDesign and develop end-to-end GenAI applications, including chatbots, voicebots and AI agents.\nBuild and optimize RAG pipelines, including vector databases, hybrid search, reranking and retrieval evaluation.\nDevelop LLM-based solutions using LangChain, LangGraph and LlamaIndex.\nSelect, fine-tune and optimize LLMs using techniques such as LoRA, QLoRA and SFT.\nImplement LLM integrations with external tools, APIs and data sources using Model Context Protocol (MCP).\nDevelop and evaluate prompting strategies, guardrails and model performance.\nTranslate business requirements into technical solutions and define project success metrics.\nSupport AI solution deployment and project delivery.\nContribute to technical architecture and pre-sales activities.\nProvide technical guidance and support to junior team members.\nWymagania\nRequirementsStrong experience in Machine Learning and Generative AI, particularly LLMs, NLP or multimodal models.\nGood understanding of Deep Learning concepts.\nStrong Python programming skills and knowledge of object-oriented programming.\nWorking knowledge of SQL and vector databases.\nHands-on experience with Azure or GCP.\nPractical knowledge of PyTorch, NumPy, Hugging Face, LangChain and LangGraph.\nExperience integrating OpenAI or Gemini APIs.\nProven experience designing and implementing RAG solutions.\nHands-on experience with MCP servers and clients for LLM-based agents.\nExperience with microservice architectures and AI application deployment.\nAbility to translate business needs into technical solutions.\nStrong analytical, problem-solving and communication skills.\nNice to HaveExperience with Databricks.\nCommercial experience delivering Generative AI, NLP or Computer Vision projects.\nExperience with multimodal AI and production-grade AI agents.\nExperience in technical consulting or pre-sales.\nAbility to mentor and guide junior engineers.\nTech stack\nMachine learning\nAI\nNLP\nPython\nObject-oriented programming\nAzure\nPyTorch\nNumPy\nMicroservice architecture\nCommunication skills\nComputer vision","description_format":"text","description_chars":2556,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence"],"lifecycle":[{"event":"open","at":"2026-10-08T22:25:03Z"}],"visa":[],"liveness":{"score":52,"band":"ok","label":"Likely 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