{"id":4063248,"url":"https://alion.io/job/medtronic-it-developer-llm-engineer-2","title":"IT Developer - LLM Engineer","company":{"id":638,"name":"Medtronic","domain":"medtronic.com","url":"https://alion.io/company/medtronic","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":92,"open_postings":183,"ghost_share":0.044,"stale_share":0.301,"repost_share":0.191,"time_to_fill_p50_days":19,"computed_at":"2026-11-11T05:49:22Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Hallucination","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"PEFT","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"QLoRA","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Rest API","optional":false},{"name":"SFT","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Transformers","optional":false},{"name":"Weights & Biases","optional":false},{"name":"AIOps","optional":true},{"name":"DeepEval","optional":true},{"name":"DeepSpeed","optional":true},{"name":"DPO","optional":true},{"name":"FSDP","optional":true},{"name":"Grafana","optional":true},{"name":"Incident Management","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Prometheus","optional":true},{"name":"SGLang","optional":true},{"name":"TensorRT","optional":true},{"name":"TensorRT-LLM","optional":true},{"name":"TRL","optional":true},{"name":"TruLens","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-11-11T09:59:23Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T09:59:23Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first - developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact.\nA Day in the Life\nAs an IT Developer focused on Applied AI and Large Language Model engineering, you will design, evaluate, optimize, and operationalize enterprise AI systems across the complete model lifecycle. You will partner with platform engineers, data engineers, security teams, and domain experts to improve model quality, deploy production-ready AI solutions, establish evaluation frameworks, and drive measurable outcomes through data-driven experimentation and governance.Responsibilities may include the following and other duties may be assigned.\nDesign and implement training, fine-tuning, and adaptation pipelines for open-weight Large Language Models using supervised fine-tuning, LoRA, QLoRA, and Parameter-Efficient Fine-Tuning (PEFT) techniques.\nBuild and curate high-quality datasets from operational data sources, incidents, runbooks, logs, knowledge articles, and validated interactions for model training and evaluation.\nDevelop model evaluation frameworks covering reasoning, instruction following, hallucination detection, tool calling, safety, robustness, and structured output quality.\nEvaluate and optimize retrieval-augmented generation systems through retrieval analysis, embedding model comparison, reranking, chunking strategies, and groundedness assessment.\nDesign and execute agent and tool-calling benchmarks that measure task completion, tool selection accuracy, failure recovery, and operational safety.\nOptimize model serving performance through quantization, batching strategies, cache management, inference tuning, and serving-stack evaluation.\nImplement experiment tracking, model governance, lineage management, release gating, and deployment workflows using enterprise MLOps practices.\nEstablish production monitoring, quality drift detection, observability metrics, security testing, and rollback criteria for deployed AI solutions.\nRequired Knowledge and Experience:\n3+ years of IT experience with a Bachelor's Degree in Engineering, MCA, or MSc. with 3+ years of software engineering or machine learning experience, including 2+ years of hands-on Generative AI or Large Language Model development.\nExperience with Python, PyTorch, Hugging Face Transformers, Datasets, PEFT, and model fine-tuning workflows.\nExperience implementing Large Language Model evaluation, retrieval-augmented generation, model benchmarking, and experiment tracking frameworks.\nExperience with Linux, Docker, Kubernetes, Git, REST APIs, and cloud or GPU-based model deployment environments.\nExperience with MLflow or Weights & Biases for experiment tracking, model lifecycle management, and artifact versioning.\nPreferred Skills & Competencies :\nExperience with direct preference optimization (DPO), TRL, DeepSpeed, Fully Sharded Data Parallel (FSDP), or distributed training techniques.\nExperience deploying and optimizing models using vLLM, NVIDIA TensorRT-LLM, SGLang, or comparable inference-serving platforms.\nExperience with RAGAS, DeepEval, TruLens, or similar evaluation and observability frameworks.\nExperience in AI Ops, IT service management, incident management, observability platforms, knowledge systems, or automated remediation workflows.\nExperience implementing OpenTelemetry, Prometheus, Grafana, model monitoring, security testing, and production release governance.\nPhysical Job Requirements\nThe above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.\nRecruitment Fraud Alert\nWe are aware of phishing scams targeting job seekers. Please keep the following in mind:\nApply only through official Medtronic channels. All legitimate Medtronic recruiting communications come from approved Medtronic platforms and official @medtronic.com email addresses.\nMedtronic will never ask for payment or sensitive personal information (such as bank account or Social Security details) during early stages of the hiring process. Any such requests are not legitimate.\nIf you receive a suspicious message claiming to be from Medtronic, do not respond, click links, or open attachments.\nIf you have any questions, concerns regarding the authenticity of a communication alleged to have been made by or on behalf of Medtronic, please contact us immediately at .\nBenefits & Compensation\nMedtronic offers a competitive Salary and flexible Benefits Package\nA commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create.We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.\nThis position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).","description_format":"text","description_chars":5314,"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":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Surgical Instruments & Devices","Orthopedic & Spine Implants","Diabetes Devices","Neurotech & Neuromodulation"],"lifecycle":[{"event":"open","at":"2026-11-11T09:59:23Z"}],"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":19,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-11-11T11:33:43Z"},"pay":null,"html_url":"https://alion.io/job/medtronic-it-developer-llm-engineer-2","json_url":"https://alion.io/job/medtronic-it-developer-llm-engineer-2.json","meta":{"generated_at":"2026-11-11T11:33:43Z","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":20251,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":638},"rest":"https://alion.io/mcp/rest/get_company?id=638"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmedtronic-it-developer-llm-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fmedtronic-it-developer-llm-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fmedtronic-it-developer-llm-engineer-2"},{"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/medtronic-it-developer-llm-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmedtronic-it-developer-llm-engineer-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4063248}},{"tool":"search_jobs","arguments":{"company":"medtronic.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4063248},"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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