{"id":1551402,"url":"https://alion.io/job/intetics-1168-senior-ai-developer","title":"1168 Senior AI Developer","company":{"id":4245,"name":"Intetics","domain":"intetics.com","url":"https://alion.io/company/intetics","size_band":"501-1000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":51,"ghost_share":0,"stale_share":0.98,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-10-01T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["PL","RO","GR","PT","SK","SI"],"hiring_countries_total":6,"salary":null,"salary_estimate":{"min_usd":62000,"max_usd":106000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":44},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Human-in-the-Loop","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":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"AWS","optional":true},{"name":"Langfuse","optional":true},{"name":"LangSmith","optional":true},{"name":"Ragas","optional":true}],"status":"live","first_seen_at":"2026-09-30T00:00:00Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-01T12:16:55Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and \"all-things-digital\" solutions, is looking for an AI Developer (LLM / RAG / Agentic AI) to join its innovative team.\nProject Responsibilities\nDesign, build, and maintain LLM-based agents in production environments, both customer-facing and internal.\nBuild MCP servers on top of existing databases and production systems, and orchestrate multiple internal and external MCP servers under a unified agent framework.\nDesign and implement memory, context management, and RAG architectures for production use.\nEstablish evaluation frameworks, handle edge cases, and continuously improve agent performance after release.\nWork within architectures that combine databases, APIs, interfaces, agents, and orchestration applications.\nDevelop AI solutions using Amazon Bedrock and/or Microsoft Foundry.\nCollaborate with cross-functional teams to deliver scalable and reliable AI-powered products.\nCandidate's Portrait\nWe are looking for a hands-on AI Engineer (Middle+ to Senior level) who has successfully delivered AI agents into production and can clearly explain implementation challenges, failure cases, and optimization approaches. The ideal candidate is passionate about AI, actively explores new tools and models, and has a proven track record building intelligent systems beyond experimentation.\n1.5-2+ years of hands-on experience with LLMs and AI agents in production environments.\nStrong background in Machine Learning, Python development, or Data Science.\nSelf-driven, innovative, and continuously learning emerging AI technologies.\nMust-Haves\n6+ years of overall experience in IT as a Software Engineer, ML Engineer, or AI Engineer.\nHands-on production experience with Amazon Bedrock and/or Microsoft Foundry (Azure AI Foundry, Azure OpenAI).\nProven experience building and deploying LLM-based agents to production, including customer-facing conversational AI and internal workflow automation agents.\nStrong experience with at least one agent framework: LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, Strands Agents, or OpenAI Agents SDK.\nDeep MCP expertise, including building MCP servers on top of existing databases and systems, integrating external MCP servers, and orchestrating multiple MCP services under a single agent.\nStrong experience with production-grade RAG, memory, and context engineering, including: \nEmbeddings\nChunking strategies\nHybrid search\nReranking\nVector databases\nShort-term and long-term agent memory\nPractical experience implementing agentic patterns such as: \nReAct\nPlanner-Executor\nReflection\nRouter\nSupervisor\nMulti-Agent Systems\nHuman-in-the-Loop\nExperience with LLM evaluation, guardrails, monitoring, and iterative optimization based on production usage and failure analysis.\nStrong understanding of system architecture involving databases, APIs, agents, and orchestration applications.\nHands-on experience with Docker and CI/CD pipelines.\nNice-to-Have\nExperience in fintech, trading, investing, brokerage, or cryptocurrency-related products.\nBackground in regulated industries with strong requirements around compliance, data protection, and AI output auditability.\nBroader AWS or Azure cloud expertise beyond AI services.\nExperience with LLM evaluation and observability platforms such as LangSmith, Langfuse, Ragas, or custom evaluation pipelines.\nAdvanced practical expertise with modern agentic AI development tools and rapid prototyping approaches.","description_format":"text","description_chars":3594,"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":[{"name":"Poland","iso":"PL","kind":"country"},{"name":"Romania","iso":"RO","kind":"country"},{"name":"Greece","iso":"GR","kind":"country"},{"name":"Portugal","iso":"PT","kind":"country"},{"name":"Slovakia","iso":"SK","kind":"country"},{"name":"Slovenia","iso":"SI","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","Software Testing & QA","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-01T00:20:58Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":1,"expected_fill_days":23,"reasons":["conf:5","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/intetics-1168-senior-ai-developer","json_url":"https://alion.io/job/intetics-1168-senior-ai-developer.json","meta":{"generated_at":"2026-10-01T21:00:57Z","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":3475,"day_limit":5000,"remaining_today":1525,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}