{"id":1074409,"url":"https://alion.io/job/vantor-aiml-engineer-sign-on-bonus-eligible-2","title":"AI/ML Engineer (sign-on bonus eligible)","company":{"id":15008,"name":"Vantor","domain":"vantor.com","url":"https://alion.io/company/vantor","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":10,"ghost_share":0,"stale_share":0.8,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["McLean, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":165000,"max":220000,"currency":"USD","period":"year","gross":null,"usd_annual":220000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"AI Agents","optional":true},{"name":"AWS","optional":true},{"name":"Docker","optional":true},{"name":"FastAPI","optional":true},{"name":"Flask","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-09-10T00:00:00Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-21T15:10:47Z","board_verified":true,"closed_at":null,"days_open":41,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":41},"description":"Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.\nTo be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.\n\nExport Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).\nPlease review the job details below.\nThis position requires an active U.S. Government Security Clearance at the TS/SCI level with required polygraph.\nEligible for up to $15k sign-on bonus!\nResponsibilities:\nDevelop, implement, and maintain AI/ML-enabled applications with a focus on agent-based workflows, LLM integration, and retrieval-augmented generation capabilities.\nDesign and support agent-based application architectures, including orchestration logic, tool use, memory management, and integration with external systems.\nImplement and maintain RAG pipelines, including document processing, embedding generation, retrieval configuration, prompt assembly, and response optimization.\nIntegrate LLMs into applications using available APIs, AI frameworks, and emerging protocols such as MCP.\nDevelop and maintain REST APIs, particularly Python-based services, to support data retrieval, system integration, agent workflows, and application functionality.\nSupport full-stack development of production-ready AI applications, including backend services, user-facing components, and enterprise deployment considerations.\nProcess, transform, and organize structured and unstructured data to support AI/ML workflows, model interaction, and application performance.\nDesign or refine Postgres schemas and data models to improve data organization, query performance, and application scalability.\nOptimize AI-enabled applications for performance, reliability, usability, and maintainability in enterprise environments.\nMinimum Qualifications:\nBachelor’s degree in computer science or related area of study.\nSenior Labor Category: Minimum 8 years of experience with a Bachelor’s degree; or 7 years of experience with a Master’s degree; or 6 years of experience with a Doctorate.\nActive/current TS/SCI with required polygraph.\nWillingness to work onsite full time.\nUS citizenship required.\nProficiency in Python and common data/AI libraries.\nExperience developing AI/ML applications, including LLM-integrated applications, RAG workflows, or similar retrieval-based capabilities.\nExperience with agent-based programming concepts, AI frameworks, and tool-based LLM application development.\nStrong understanding of AI/ML foundational concepts, including transformers, algorithms, LLM behavior, data processing, and model integration patterns.\nExperience designing, developing, or integrating REST APIs to retrieve, process, or exchange data across systems.\nFamiliarity with production-ready application development practices, including reliability, maintainability, testing, and deployment considerations.\nPreferred Qualifications:\nExperience with MCP or similar protocols for connecting AI agents to tools, data sources, and enterprise systems.\nExperience developing full-stack agent-based applications, including frontend interfaces, backend services, orchestration layers, and enterprise deployment patterns.\nExperience with Python REST API frameworks such as FastAPI or Flask.\nExperience implementing or optimizing LLM memory management approaches, including conversational memory, session state, context management, and retrieval-based memory.\nExperience with agent-based application optimization techniques, including prompt/tool orchestration, latency reduction, context window management, evaluation, observability, and cost/performance tuning.\nExperience working with vector databases, embedding models, semantic search, and retrieval configuration.\nExperience with Docker containers and containerized development environments.\nExperience with AWS or other cloud environments.\nExperience with Postgres, data transformation, structured/unstructured data processing, and schema refinement.\nPay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.\n•The base pay for this position within the Washington, DC metropolitan area is: $165,000.00 - $220,000.00 - $242,000.00 annually.For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.\nBenefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers\nThe application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.\nThe date of posting can be found on Vantor's Career page at the top of each job posting.\nTo apply, submit your application via Vantor's Career page.\nEEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. 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