{"id":1124978,"url":"https://alion.io/job/moovx-lead-genai-engineer","title":"Lead GenAI Engineer/ AI Forward Deployed Engineer","company":{"id":680602,"name":"MOOVX","domain":"moovx.mobi","url":"https://alion.io/company/moovx","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Argentina"],"countries":["AR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":64000,"max_usd":152000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":773},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Docker","optional":false},{"name":"FAISS","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Pinecone","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Weaviate","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-09-22T14:39:39Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-01T17:30:51Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Our People, Our Core.\nAt MOOVX, you’ll work alongside curious, talented and collaborative people solving real challenges through technology.\nLocation: Remote / Hybrid (ARG, CHI, CL, UY, MX)\nJob Type: Full-Time\nExperience: 5+ years in AI/ML Engineering, Software Engineering, Solution Architecture, or related technical disciplines (1.5+ years in GenAI/LLM).\nPosition Summary\nWe are seeking a Lead GenAI Engineer to lead the design, development, and deployment of enterprise-grade AI solutions powered by Large Language Models (LLMs), agentic workflows, and Retrieval-Augmented Generation (RAG) architectures.\nThis role will be responsible for driving the technical vision for scalable GenAI platforms, building intelligent automation solutions, and enabling production-ready AI capabilities across the organization. The ideal candidate has deep expertise in Python development, modern LLM ecosystems, cloud-native architecture, and agent frameworks such as LangGraph, Copilot Studio, or NAAN.\nThis is a highly visible role requiring both hands-on technical leadership and strategic guidance to help the organization leverage Generative AI responsibly, securely, and effectively.\nKey Responsibilities\nAI Solution Architecture\nDesign and implement scalable, secure, and reliable Generative AI architectures for enterprise production environments.\n\nDefine technical standards, reference architectures, and best practices for GenAI platforms and applications.\n\nEnsure AI solutions meet requirements for performance, observability, scalability, compliance, and governance.\n\nLLM & Agentic Application Development\nBuild and deploy Python-based GenAI services, APIs, and intelligent automation solutions.\n\nDesign and implement agentic workflows using frameworks such as LangGraph, Microsoft Copilot Studio, and NAAN.\n\nDevelop orchestration logic supporting multi-agent and multi-step reasoning workflows.\n\nCreate reusable AI components and frameworks that accelerate solution delivery across teams.\n\nRetrieval-Augmented Generation (RAG) & Knowledge Systems\nDesign and implement RAG architectures that integrate enterprise knowledge sources with LLMs.\n\nDevelop ingestion, indexing, retrieval, and augmentation pipelines for AI-powered applications.\n\nIntegrate and optimize vector databases such as Pinecone, Weaviate, and FAISS.\n\nEvaluate embedding models and retrieval strategies to improve answer quality, accuracy, and relevance.\n\nCloud, DevOps & Platform Engineering\nArchitect and operate cloud-native AI solutions across AWS, Azure, and/or GCP environments.\n\nDevelop containerized AI applications using Docker and Kubernetes.\n\nEstablish CI/CD pipelines and deployment automation for AI workloads.\n\nImplement monitoring, logging, observability, and operational controls for production AI systems.\n\nEnsure platform reliability, scalability, and cost optimization.\n\nInnovation & Emerging Technology Evaluation\nEvaluate emerging LLMs, agent frameworks, orchestration platforms, and AI infrastructure technologies.\n\nRecommend tools, platforms, and architectural approaches that align with business and technical objectives.\n\nStay current with advancements in Foundation Models, agentic systems, and AI engineering best practices.\n\nAdvocate for responsible AI development, security, governance, and risk management practices.\n\nCross-Functional Leadership\nPartner closely with Product, Engineering, Data, and Business stakeholders to define AI solution roadmaps.\n\nProvide technical leadership and mentorship to AI and software engineering teams.\n\nTranslate complex business requirements into scalable AI solutions and technical implementation plans.\n\nQualifications\n5+ years of experience in AI/ML Engineering, Software Engineering, Solution Architecture, or related technical disciplines.\n\n1.5+ years of hands-on experience developing and deploying Generative AI or LLM-powered solutions.\n\nStrong proficiency in Python and modern software engineering practices.\n\nExperience building production-grade AI services, APIs, and orchestration frameworks.\n\nDeep understanding of:\nLarge Language Models (LLMs)\n\nRetrieval-Augmented Generation (RAG)\n\nEmbedding Models\n\nPrompt Engineering\n\nAgentic AI Systems\n\nHands-on experience with vector databases such as Pinecone, Weaviate, or FAISS.\n\nExperience developing agent-based solutions using LangGraph, Copilot Studio, NAAN, or similar frameworks.\n\nExperience designing cloud-native architectures within AWS, Azure, or GCP.\n\nFamiliarity with containerization and orchestration technologies including Docker and Kubernetes.\n\nExperience implementing CI/CD pipelines and deployment automation.\n\nStrong communication and stakeholder management skills.\n\nEnglish: B2+/C1 is a must.\n\nWe offer our full-time employees complete and competitive benefits, with a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes a great place to work.\nReady to make an impact?\nIf this opportunity feels like the right next step for you, we’d love to get to know you. Apply and show us what you can bring to MOOVX.\nWe’re committed to building a diverse and inclusive workplace where everyone has the opportunity to grow.","description_format":"text","description_chars":5482,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Argentina","iso":"AR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","Custom Software Development","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-09-22T21:00:06Z"}],"liveness":{"score":75,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.794,"p_room":0.945,"age_days":8,"expected_fill_days":24,"reasons":["conf:11","velocity","win:mid"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/moovx-lead-genai-engineer","json_url":"https://alion.io/job/moovx-lead-genai-engineer.json","meta":{"generated_at":"2026-10-01T21:22:49Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4054,"day_limit":5000,"remaining_today":946,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}