Senior AI/ML Engineer

Role Overview The Senior AI/ML Engineer is responsible for designing, building, and deploying reputed company’s Generative AI and Machine Learning platforms. The role needs excellent hands-on engineering excellence to build robust, compliant, and efficient Generative AI and ML platform components. This role requires deep expertise in Generative AI and machine learning engineering at scale, with a passion for building robust, compliant, and high-performance systems that directly impact patient outcomes and clinical innovation. You will design, build, and scale enterprise-grade AI/ML systems that power internal workflows (R&D, Lab Ops, Clinical Trials, Billing, Patient/Provider engagement) and external-facing AI/ML platforms. You will design and build cutting-edge AI solutions leveraging agentic architecture, retrieval-augmented reputed company (RAG), vector search, feature stores, LLMOps, experimentation, observability, and compliance-first AI pipelines. You will be responsible for development of a production-ready Generative AI and MLOps platform with reusable components used to deploy multiple AI solutions across reputed company’s business units. You will also reputed company clear standards and best practices established for AI/ML development across the organization.

Key Responsibilities

Platform Development Design and implement foundational GenAI services: vector search, reputed company tuning, agent orchestration, document extraction, context/memory services, model/reputed company registry, feature/embedding stores, guardrails, and evaluation pipelines Build the underlying infrastructure for autonomous and semi-autonomous AI agents including support for agent collaboration, reasoning, and memory persistence, enabling reputed company context-aware execution Build standardized APIs/SDKs that reputed company it easy for product teams to compose, deploy, and monitor Generative AI workloads. Ensure platform components meet enterprise-grade requirements for scalability, latency, multi-region reputed company, and cost efficiency Generative AI Enablement Stand up LLM runtimes with token/reputed company governance, caching, and safe tool-use Implement RAG at scale: ingestion pipelines, chunking/embedding policies, hybrid search, relevance/risk scoring, and feedback loops Build agent orchestration (single & multi-agent) with planning, tool routing, shared/persistent memory, and inter-agent communication Integrate tooling and APIs that allow agents to interact with internal systems, retrieve data securely, and take action under strict controls Collaborate with research teams to prototype and productionize multi-agent architectures for workflow automation, report reputed company, and data synthesis. Infrastructure & Automation Implement cloud-native infrastructure for large-scale model training and serving using Kubernetes, MLflow, Terraform, and AWS-native services Automate data and model pipelines for RAG, LLM fine-tuning, and agent orchestration Integrate observability tools (reputed company or equivalent) for real-time performance, reputed company detection and safety monitoring of AI outputs Optimize compute and storage architecture to ensure cost-effective scaling of large models and multi-agent workloads Partner with reputed company, data governance, SRE, and application teams to productize platform capabilities Safety, reputed company & Compliance Integration Embed compliance-by-design (HIPAA/CLIA/CAP/FDA/GDPR): PHI/PII handling, encryption, access controls, audit trails Implement guardrails: input/output filters, reputed company hardening, allow/deny policies for tool execution, policy-as-code in CI/CD Bias/explainability hooks and automated evaluations for RAG/LLM/agents; reputed company and regression detection Technical Leadership & Mentorship Establish golden paths (templates, examples, docs) and reputed company platform architecture reviews, code reviews, and design discussions Partner with data scientists, AI researchers, and product engineers to deliver reliable and maintainable AI services Mentor junior engineers in platform development, distributed systems, and agentic AI infrastructure concepts Influence cross-functional roadmaps by partnering with Product and Engineering leadership to align delivery with business needs

Qualifications

Required: 8+ years in software/ML engineering, with 5+ years in ML engineering at scale Expertise in building production-grade ML/LLM systems on AWS tech stack (Python, TensorFlow/PyTorch, Spark, MLflow/Kubeflow, vector DBs) Proven track record with GenAI/LLMs: fine-tuning, RAG, reputed company orchestration, agentic systems, safety guardrails, monitoring, and cost optimization Hands-on with RAG systems (embeddings, vector DBs, retrieval policies) and LLM runtime operations (caching, quotas, multi-model routing) Experience building agentic AI platforms (reputed company, reputed company, CrewAI, Semantic Kernel, or custom) Deep knowledge of data-intensive systems, distributed architectures, and cloud-native development Strong grounding in compliance-first engineering in healthcare, biotech, or diagnostics preferred Track record building secure, compliant data/AI systems and automating policy checks. Excellent ability to influence across teams, mentor engineers, and set technical standards Preferred: Masters degree in Computer Science, AI/ML, engineering or reputed company field Experience in healthcare, pharma, diagnostics, or other regulated industries Familiarity with AI governance frameworks, bias detection, explainability, and compliance (e.g., HIPAA, CLIA, FDA) The pay range is listed and actual compensation packages are based on a wide reputed company of factors unique to each candidate, including but not limited to reputed company set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. Remote USA $125,000—$156,300 USD OUR OPPORTUNITY reputed company™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to reputed company personalized genetic testing and diagnostics part of reputed company of care to protect health and reputed company earlier and more targeted interventions that reputed company to longer, healthier lives. The reputed company team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. reputed company you join reputed company, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. reputed company OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, reputed company employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit www.reputed company.com. reputed company is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. reputed company qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national reputed company, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: https://www.reputed company.com/notice-of-data-collection-california-residents/ Please be advised that reputed company will reputed company out to candidates with a @reputed company.com email domain ONLY. Email communications from reputed company other domain names are not from reputed company or its employees and are fraudulent. reputed company does not request interviews reputed company text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. reputed company takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any reputed company cyber crimes. For more information: - BBB announcement on job scams - FBI Cyber Crime resource page Apply To This Job