{"id":3601575,"url":"https://alion.io/job/healthedge-agentic-ai-multi-agent-systems-engineer","title":"Agentic AI / Multi-Agent Systems Engineer","company":{"id":58605,"name":"HealthEdge","domain":"healthedge.com","url":"https://alion.io/company/healthedge","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":{"grade":"A","score":100,"open_postings":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":72000,"max":108000,"currency":"USD","period":"year","gross":null,"usd_annual":108000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"C++","optional":false},{"name":"Copilot","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"KV Cache","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Linux","optional":false},{"name":"llama.cpp","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"ONNX","optional":false},{"name":"ONNX Runtime","optional":false},{"name":"OpenVINO","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"Ray","optional":false},{"name":"ROCm","optional":false},{"name":"Safetensors","optional":false},{"name":"SLURM","optional":false},{"name":"Speculative Decoding","optional":false},{"name":"Tokenization","optional":false},{"name":"Transformers","optional":false},{"name":"vLLM","optional":false}],"status":"closed","first_seen_at":"2026-11-02T08:59:06Z","employer_posted_date":null,"last_verified_at":"2026-11-02T15:28:36Z","board_verified":false,"closed_at":"2026-11-02T15:28:36Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"UST is hiring an Agentic AI / Multi-Agent Systems Engineer to develop and optimize multi-agent AI systems and agentic workloads. The role focuses on designing scalable agent solutions, selecting and deploying models and inference engines, and profiling and optimizing performance across the software and hardware stack.\n\nResponsibilities\nWork with agent frameworks and orchestration technologies to design scalable solutions\nSelect, evaluate, and deploy appropriate models and inference engines based on workload requirements\nDebug and optimize performance across the full stack: agent → model → inference engine → hardware\nBenchmark and profile AI workloads to identify and resolve performance bottlenecks\nOptimize model execution for latency, throughput, memory efficiency and accelerator utilization\nCollaborate on the complete execution path from agent logic through GPU hardware\n\nSkills\nBachelor's degree in Electrical Engineering or Computer Engineering\n2-4 years of platform debug experience with BIOS/FW/platform ingredients\nStrong Linux development and debugging skills\nUnderstanding of processes, threads, memory, PCIe, DMA, kernel modules, and device drivers\nAbility to debug workloads across the application → runtime → driver stack\nHands-on development of multi-agent workloads\nExperience with agent orchestration, tool/function calling, memory planning and agent-to-agent communication\nExperience with agent frameworks such as LangGraph/LangChain, AutoGen, or CrewAI\nStrong understanding of LLMs, SLMs and multimodal models\nKnowledge of Transformer architecture, attention, tokenization, context windows, and KV cache\nHands-on experience with model selection, evaluation, and deployment\nUnderstanding of model formats and optimization: ONNX, Open VINO IR, safe tensors, quantization (FP16/BF16/INT8/INT4)\nExperience with inference engines: Open VINO, ONNX Runtime, vLLM, llama.cpp, or TGI\nUnderstanding of prefill vs. decode, batching, continuous batching, speculative decoding, and KV-cache management\nAbility to optimize for latency, throughput, tokens/sec, memory footprint, and accelerator utilization\nUnderstanding of the complete execution path: Agent → Model → Inference Engine → Middleware → Compute Runtime → GPU Driver → Hardware\nUnderstanding of GPU memory, kernel execution, synchronization, device selection and host/device data movement\nFamiliarity with middleware/accelerator compute runtimes: OMZ/OneAPI/SYCL, Level Zero, or OpenCL\nStrong Python skills\nWorking knowledge of C/C++\nGit/GitHub and Linux shell proficiency\nDebugging tools expertise\nPractical use of GitHub Copilot for development, debugging and code generation\nDocker/container fundamentals\nAbility to benchmark and profile AI workloads\nUnderstanding of latency, throughput, tokens/sec, GPU utilization, memory bandwidth and CPU/GPU bottlenecks\nAbility to identify performance issues at different stack levels\nIntel GPU architecture and Linux GPU driver stack\nDRM/i915 and newer Intel GPU driver architecture\nIntel GPU profiling and telemetry\nSpeculative decoding and continuous batching experience\nTensor/pipeline parallelism knowledge\nModel conversion, graph optimization and operator/kernel fusion\nMCP (Model Context Protocol)\nAdvanced RAG architectures\nAgent observability/tracing\nModel routing and dynamic model selection\nDistributed/multi-agent execution\nCUDA/HIP/ROCm familiarity\nKubernetes, Ray or Slurm experience\nDistributed inference knowledge\nLinux kernel/GPU debugging\nPerf, gdb, tracing and GPU profiling tools\n\nBenefits\nFull-time, regular employees accrue a minimum of 10 days of paid vacation per year.\nFull-time, regular employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).\nFull-time, regular employees receive 10 paid holidays and are eligible for paid bereavement leave and jury duty.\nFull-time, regular employees are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching.\nFull-time, regular employees and their dependents residing in the US are eligible for medical, dental, and vision insurance.\nFull-time, regular employees receive Company-paid basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits for Employee Only.\nRegular employees may purchase additional voluntary short-term disability benefits and participate in a Health Savings Account (HSA) and a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines.\nPart-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching.\nFull-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company’s 401(k) program with employer matching.\nFull-time temporary employees and their dependents residing in the US are eligible for medical, dental, and vision insurance.\nPart-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).\nAll US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.\n\nCompany Overview\nUST HealthProof offers risk adjustment, quality programs, and healthcare payer technology services. It is a sub-organization of UST. It was founded in 1999, and is headquartered in Boston, Massachusetts, USA, with a workforce of 501-1000 employees. Its website is https://usthealthproof.com.\n\nCompany H1B Sponsorship\nUST HealthProof has a track record of offering H1B sponsorships, with 26 in 2026, 71 in 2025, 43 in 2024, 31 in 2023, 3 in 2022. Please note that this does not guarantee sponsorship for this specific role.","description_format":"text","description_chars":5905,"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":["Life insurance","Retirement plans","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Revenue Cycle & Medical Billing","Health Insurance & Benefits"],"lifecycle":[{"event":"open","at":"2026-11-02T09:21:01Z"},{"event":"close","at":"2026-11-02T15:28:36Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 41 · green card filings: 15","filings_12m":41,"filings_prev_12m":46,"green_card_filings_12m":15,"median_offered_wage_usd":124464,"route":null,"cap_exempt":false,"checked_at":"2026-11-08T10:45:15+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":21}],"liveness":null,"pay":{"stated_usd_annual":108000,"is_top_pay":false},"html_url":"https://alion.io/job/healthedge-agentic-ai-multi-agent-systems-engineer","json_url":"https://alion.io/job/healthedge-agentic-ai-multi-agent-systems-engineer.json","meta":{"generated_at":"2026-11-08T13:07:09Z","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":27847,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"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":58605},"rest":"https://alion.io/mcp/rest/get_company?id=58605"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhealthedge-agentic-ai-multi-agent-systems-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%2Fhealthedge-agentic-ai-multi-agent-systems-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%2Fhealthedge-agentic-ai-multi-agent-systems-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/healthedge-agentic-ai-multi-agent-systems-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhealthedge-agentic-ai-multi-agent-systems-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3601575}},{"tool":"search_jobs","arguments":{"company":"healthedge.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3601575},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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