{"id":2908299,"url":"https://alion.io/job/99x-ai-engineer","title":"AI Engineer","company":{"id":62433,"name":"99X","domain":"99x.io","url":"https://alion.io/company/99x","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"unspecified","remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Celery","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"GitLab CI","optional":false},{"name":"Google ADK","optional":false},{"name":"Haystack","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Reranking","optional":false},{"name":"LangChain","optional":true},{"name":"Langfuse","optional":true}],"status":"live","first_seen_at":"2026-10-02T00:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-23T07:32:17Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"This is a remote position.\nWe are looking for an AI Engineer to join our team and play a key role in designing, developing, and operating modern AI-powered applications.\nIn this role, you will work across the full lifecycle of AI initiatives, building production-grade LLM services, intelligent retrieval systems, and agent-based solutions. You will collaborate closely with engineering and architecture teams to deliver reliable, secure, and scalable AI capabilities that create real business value.\nThe role combines software engineering, AI engineering, and LLMOps expertise, with a strong focus on Generative AI, RAG architectures, and production-ready AI systems.\nResponsibilities\nDesign, develop, and maintain AI services and APIs using:Python\nDjango\nFastAPI\n\nBuild and optimize end-to-end RAG (Retrieval-Augmented Generation) solutions, including:Chunking\nEmbeddings\nHybrid retrieval\nReranking\nVector database integration\n\nDesign and implement agent-based solutions using modern orchestration frameworks\nDevelop and maintain MCP-enabled tools and agent workflows\nEnsure AI solution quality through:Tracing and observability\nEvaluation frameworks\nCost and token monitoring\nPerformance optimization\n\nWrite clean, tested, and well-documented code\nParticipate in code reviews and engineering best practices\nCollaborate with multidisciplinary teams to deliver scalable AI solutions\nContribute to knowledge sharing and technical documentation initiatives\nRequirements\nStrong proficiency in:Python\nDjango\nFastAPI\n\nExperience with:PostgreSQL\nRedis\nCelery\nDocker\n\nProven experience building and deploying production-grade RAG solutions\nHands-on experience with:Embeddings\nVector databases\nRetrieval systems\nReranking techniques\n\nExperience with agent orchestration frameworks such as:LangGraph\nHaystack\nGoogle ADK\nSimilar ecosystems\n\nKnowledge of:Prompt Engineering\nModel Context Protocol (MCP)\nTool calling architectures\n\nStrong understanding of LLMOps practices, including:Observability\nEvaluation methodologies\nCost optimization\nLatency management\nStreaming responses\n\nExperience with:OpenAPI\nPytest\nDatabase migrations\nGitLab CI/CD\n\nStrong software engineering principles and testing practices\nAbility to work autonomously in collaborative environments\nFluency in English\nNice-to-have\nExperience with:Langfuse\nLLM evaluation frameworks\nLLM-as-a-Judge methodologies\n\nExperience designing reusable AI platforms and services\nFamiliarity with modern Python tooling:uv\nruff\n\nExperience working in product-focused or SaaS environments\nStrong documentation and knowledge-transfer capabilities\nIf this sounds like you, share your CV with us and let’s talk!","description_format":"text","description_chars":2650,"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":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Commerce","IT Outsourcing & Dedicated Teams","Digital 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