{"id":646599,"url":"https://alion.io/job/arsiem-ai-engineer-sme","title":"AI Engineer – SME","company":{"id":668767,"name":"ARSIEM","domain":"arsiem.com","url":"https://alion.io/company/arsiem","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"C","score":68,"open_postings":45,"ghost_share":0.444,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":112,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Columbia, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":222000,"max":239000,"currency":"USD","period":"year","gross":null,"usd_annual":239000},"salary_estimate":null,"experience_years_min":18,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"CrewAI","optional":false},{"name":"Function Calling","optional":false},{"name":"Haystack","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Tool Use","optional":false},{"name":"Embeddings","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"JavaScript","optional":true},{"name":"Python","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-06-03T03:35:35Z","employer_posted_date":"2026-06-03","last_verified_at":"2026-10-18T16:50:46Z","board_verified":true,"closed_at":null,"days_open":137,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":137},"description":"ARSIEM is looking for an amazingly talented AI Engineer to join our team! In this role you will get to provide technical advisory support for the design, evaluation, and advancement of AI-enabled applications, tools, and workflows. This role is intended for a hands-on technical professional who understands how modern AI systems are built and can help guide teams developing practical solutions using large language models, agentic workflows, orchestration frameworks, and supporting software infrastructure.\nThe right candidate is a builder at heart-someone who explores new frameworks, prototypes ideas, and continuously teaches themselves emerging techniques. Curiosity and passion matter greatly in this role. We want someone who follows the fast-moving AI ecosystem because they genuinely enjoy it, not just because the job requires it.\nThis position will support one of our Government clients in Columbia, Maryland.\nResponsibilities\nProvide SETA support to government teams developing or assessing AI-enabled applications and tools.\nAdvise on technical approaches for AI application design, prototyping, integration, and evaluation.\nAssess solutions involving LLMs, retrieval-augmented generation, tool use, agentic workflows, orchestration layers, prompt pipelines, and evaluation harnesses.\nSupport the review of architectures, development approaches, model usage patterns, and technical risk areas.\nAdvise on AI engineering considerations such as latency, reliability, observability, testability, guardrails, data flow, and system integration.\nEvaluate and compare modern AI frameworks, agentic libraries, and experimentation harnesses for suitability in mission use cases.\nAssist with the development of technical guidance, prototypes, engineering recommendations, and briefings for government stakeholders.\nSupport test and evaluation activities for AI tools, including performance assessment, qualitative review, and workflow validation.\nCollaborate with platform engineers, product leads, mission users, and government leadership to ensure AI efforts remain technically grounded and operationally relevant.\nStay current on rapid changes in the AI ecosystem and provide informed recommendations on emerging tools and practices.\nMinimum Qualifications\nMin 18 years with Bachelors, 15 years with Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field.\nExperience designing, building, integrating, or evaluating AI/ML-enabled applications or software tools.\nFamiliarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows.\nWorking knowledge of one or more agentic or orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, LlamaIndex, or similar ecosystems.\nExperience with software development fundamentals, APIs, data handling, and system integration.\nAbility to assess technical tradeoffs and communicate them clearly to both engineers and government stakeholders.\nStrong written and verbal communication skills.\nPreferred Qualifications\nExperience with Python, JavaScript/TypeScript, or similar languages commonly used in AI application development.\nFamiliarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses.\nExposure to model hosting, inference pipelines, or cloud-based AI development environments.\nUnderstanding of secure AI development practices, data protection, and operational constraints in government settings.\nExperience supporting defense, cyber, intelligence, or mission application development.\nFamiliarity with human-in-the-loop 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