{"id":2404923,"url":"https://alion.io/job/markon-solutions-full-performance-aiml-engineer","title":"Full performance AI/ML Engineer","company":{"id":3863685,"name":"Markon Solutions","domain":"markonsolutions.com","url":"https://alion.io/company/markon-solutions","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"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":130000,"max":160000,"currency":"USD","period":"year","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false}],"status":"live","first_seen_at":"2026-10-13T00:25:18Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T22:46:19Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Description\nMarkon is seeking an AI/ML Engineer (Full Performance) to support an Intelligence Community client in McLean, Virginia. This position will design, develop, integrate, and maintain AI/ML-enabled applications supporting mission-critical enterprise capabilities, with a focus on large language model (LLM) integration, agent-based workflows, and retrieval-augmented generation (RAG). The AI/ML Engineer will work across application development, data engineering, and system integration to deliver scalable, reliable, and production-ready AI solutions that connect with enterprise tools, data sources, and existing systems.\nResponsibilities\nDesign, develop, implement, and maintain AI/ML-enabled applications, emphasizing LLM integration, agent-based workflows, and RAG capabilities.\n\nDevelop and support agentic AI architectures, including orchestration logic, tool integration, memory management, context handling, and connections to external systems.\n\nDesign, implement, and optimize RAG pipelines, including document processing, embedding generation, semantic retrieval, prompt assembly, and response optimization.\n\nDevelop and maintain Python-based services, REST APIs, backend components, and user-facing application features supporting enterprise AI solutions.\n\nIntegrate AI/ML applications with enterprise tools, databases, and structured or unstructured data sources.\n\nProcess, organize, and transform data to support AI model integration, retrieval workflows, and application functionality.\n\nDevelop and optimize PostgreSQL database schemas, queries, indexing strategies, and data workflows.\n\nEvaluate and benchmark AI/ML application and model performance using appropriate testing and evaluation methodologies.\n\nOptimize AI applications for reliability, latency, performance, usability, maintainability, and scalability.\n\nApply software engineering best practices throughout the application development lifecycle, including testing, deployment, troubleshooting, and ongoing sustainment.\n\nCollaborate with technical stakeholders and development teams to translate mission requirements into functional, production-ready AI/ML capabilities.\n\nQualifications\nRequired:\nActive TS/SCI clearance with Full Scope Polygraph.Bachelor's degree and at least 3 years of related experience; OR\nMaster's degree and at least 1 year of related experience; OR\nPhD with no additional experience required; OR\n6 years of equivalent relevant work experience and no degree.\n\nExperience developing AI/ML-enabled applications, including LLM integration, agent-based workflows, RAG, or similar retrieval-based capabilities.\nProficiency in Python, common AI/data libraries, and AI frameworks supporting LLM application development.\nExperience implementing agent orchestration, tool integration, memory/context management, and connections to external systems.\nStrong understanding of AI/ML fundamentals, including transformers, machine learning algorithms, LLM behavior, data processing, and model integration.\nExperience developing or integrating REST APIs and Python-based backend services.\nExperience with PostgreSQL or other relational databases, including schema design, indexing, and query optimization.\nUnderstanding of production-ready software development practices, including application testing, reliability, deployment, performance optimization, and maintainability.\nDesired:\nExperience with Model Context Protocol (MCP) or similar protocols connecting AI agents to external tools, data sources, and enterprise systems.\nExperience developing full-stack AI or agent-based applications, including frontend interfaces, backend services, orchestration layers, and enterprise deployment.\nExperience with FastAPI, Flask, Docker, containerized development environments, and AWS or other cloud platforms.\nExperience optimizing LLM and agentic AI workflows, including prompt engineering, tool execution, memory management, context windows, latency reduction, observability, evaluation, and cost/performance tuning.\nExperience with MLflow or similar model evaluation and lifecycle tools.\nExperience implementing vector databases, embedding models, semantic search, and retrieval configuration.\nExperience processing and transforming structured and unstructured data, including PostgreSQL schema refinement and optimization.\nSalary Range\nUSD $130,000.00 - USD $160,000.00 /Yr.The Markon pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.Overview\nEager to join a team where your skills are valued, your growth is nurtured, and your impact is profound? Look no further than Markon, a premier consulting firm deeply dedicated to advancing our nation's most critical missions.\nAt Markon, we don't just offer jobs - we offer opportunities for personal and professional transformation. Empowering our employees to lead, innovate, and excel, we foster an environment where new ideas are not just welcomed but celebrated. As a perennial Washington Post Top Workplace, we prioritize the well-being and success of our team members, ensuring they can bring their best selves to work.\nHeadquartered in Falls Church, Virginia, Markon has garnered national recognition for our unwavering dedication to excellence in serving the intelligence community, as well as federal civilian and defense agencies. Our growing reach extends across 17 states, 116 countries, and 5 continents, where our team of dynamic professionals collaborates to deliver unparalleled program and project management services.\nMarkon values people and the tremendous impact each individual can make - which is why we’re consistently recognized as one of the best places to work in federal government consulting. Here, you can help solve the nation’s most important challenges, surrounded by colleagues who help you grow, advance, and succeed. We are deeply dedicated to what matters - bringing out the best in each other to advance our clients’ missions.Join us and make a meaningful impact.\nMarkon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, national origin, age, protected veteran status, or disability status. This job posting will remain open until the position is filled.\nBenefits Offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Training and Tuition Assistance, Paid Time Off, and Holidays","description_format":"text","description_chars":6784,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":["Equity","Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Intelligence","IT Consulting & Digital Transformation","Facilities Management"],"lifecycle":[{"event":"open","at":"2026-10-13T00:25:18Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":8,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-10-13T05:45:00Z"},"pay":{"stated_usd_annual":160000,"is_top_pay":false},"html_url":"https://alion.io/job/markon-solutions-full-performance-aiml-engineer","json_url":"https://alion.io/job/markon-solutions-full-performance-aiml-engineer.json","meta":{"generated_at":"2026-10-13T23:35:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":35902,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3863685},"rest":"https://alion.io/mcp/rest/get_company?id=3863685"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmarkon-solutions-full-performance-aiml-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmarkon-solutions-full-performance-aiml-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmarkon-solutions-full-performance-aiml-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/markon-solutions-full-performance-aiml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmarkon-solutions-full-performance-aiml-engineer"}]}