{"id":2411400,"url":"https://alion.io/job/indigroup-ai-engineer-rag-search","title":"AI Engineer – RAG & Search","company":{"id":2376004,"name":"Indigroup","domain":"indigroup.lt","url":"https://alion.io/company/indigroup-lt","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_city","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Vilnius, Lithuania"],"countries":["LT"],"hiring_countries":["LT"],"hiring_countries_total":1,"salary":{"min":4500,"max":6500,"currency":"EUR","period":"month","gross":true,"usd_annual":86748},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"ASP.NET Core","optional":false},{"name":"C#","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Embeddings","optional":false},{"name":"Hybrid Search","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Milvus","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"MS SQL","optional":false},{"name":"OpenSearch","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false}],"status":"live","first_seen_at":"2026-09-21T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-09-21T00:00:00Z","board_verified":false,"closed_at":null,"days_open":24,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":24},"description":"Job Description:\n\n About the Role\n\nWe are looking for an AI Engineer – RAG & Search to help us build and improve production AI products.\n\nThis role goes beyond simply integrating an LLM. You will work across the full journey from a user’s query to a reliable, high-quality answer — retrieving the right information from large document collections, generating grounded responses, and providing verifiable sources.\n\nYou will work at the intersection of LLMs, RAG, information retrieval, search, and backend engineering, with a strong focus on building solutions that are accurate, fast, measurable, and ready for production.\n\nThe INFOLEX product team:\n\nYou will join a small, experienced and multidisciplinary team of software engineers, search and database specialists, legal experts, product leaders and QA. We combine deep domain knowledge, large proprietary document collections and mature search technology with modern LLM and RAG components. We work hands-on, test ideas against real user questions and turn successful experiments into reliable production features. Accuracy, verifiable sources, performance and practical user value matter more to us than impressive AI demos.\n\nWhat You’ll Do:\n\nBuild and continuously improve production RAG solutions.\n\nWork with embeddings, document chunking, indexing, and vector databases.\n\nDevelop hybrid search combining Full-Text, dense and sparse retrieval, filters, and reranking.\n\nIntegrate LLMs, AI agents, APIs, and MCP solutions.\n\nBuild evaluation and testing frameworks for retrieval and final answer quality.\n\nAnalyze and improve AI system performance, including accuracy, latency, and cost.\n\nContribute to backend systems, APIs, and integrations.\n\nExperiment with new AI technologies and turn promising approaches into reliable product features.\n\n What We’re Looking For:\n\n Practical experience building RAG or other production LLM solutions.\n\nStrong Python skills.\n\nExperience working with large document collections or other large-scale knowledge sources.\n\nGood understanding of embeddings, retrieval, search, and LLM-based systems.\n\nAbility to take an AI solution beyond a prototype — measure its quality, troubleshoot it, optimize it, and bring it to production.\n\nA pragmatic engineering mindset and an interest in solving complex problems.\n\nExperience with MS SQL Server, C#, ASP.NET, LangChain, LangGraph, LlamaIndex, Elasticsearch, OpenSearch, Milvus, or other search technologies would be a strong advantage.\n\nYou don’t need to know every technology on the list. We value strong engineering fundamentals, curiosity, and the ability to learn more than a specific tech stack.\n\n What We Offer:\n\n €4,500–€6,500 gross monthly salary, depending on experience and expertise.\n\nHybrid or even remote work schedule.\n\nA Scandinavian-style working environment focused on trust, autonomy, and a healthy work-life balance.\n\nThe opportunity to work with real AI products and production AI solutions, rather than just prototypes.\n\nA dynamic and international media and technology company.\n\nFree participation in our conferences and selected training programs.\n\nComplimentary subscriptions to our publications.\n\nQuarterly performance bonuses based on achieved goals.\n\nA great office location with an excellent view.\n\nFree parking.\n\nThe opportunity to have a direct impact on how AI is used across the company and its products.\n\nIf you want to build AI systems that solve real problems and are used by real professionals, we’d love to hear from you.\n\n Salary\n\n 4500-6500\n €/mon.\n gross\n\n Work place\n\n J. Jasinskio g. 16A, Vilnius, Vilniaus m. sav. 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