Software Engineer Sqa - Ai/ml Products jobs at Boston Scientific in India, Gurugram

India-Haryana, Gurgaon

Purpose Statement:

Responsible for providing mechanical engineering support in the NPD/sustenance of medical device products.

Key Responsibilities:

• Understanding of Mechanical engineering concepts/ first principles.
• Knowledge of material sciences and processing – Metals, Polymers, Plastics. The candidate should be able to apply knowledge of materials and processes to design
• Setting technical specifications & Design requirements
• Apply principles of Mechanical engineering, Physics, and Material Science to perform data driven development, optimization, and evaluation of novel or iterative designs of mechanical and electro-mechanical materials, components, assemblies, processes and/or equipment, based on customer and business needs.
• Defines and implements specifications, inputs/outputs, working parameters, and test methods using current best practice engineering methods and technologies.
• Assesses design risks and mitigations through tools such as FMEA, Fault tree, etc.
• Works closely with key internal and external specialty resources to ensure robust holistic device / component design and to address complex design issues.
• Continuously improves process and work methodologies by interfacing with peers/cross-functional groups and analyzing activities to improve workflow and work processes.
• Provides clear communication to stakeholders for key technical updates.
• Creates robust documentation of requirements, protocols, evaluations, reports, etc. throughout all phases of research and development by writing clear and concise documents.
• Complies with site and department specific procedures on record keeping, use of log books, materials receiving, and inventory control. Completes time records and reports projects allocated time. Adheres to all EH&S procedures and general housekeeping SOP's. Remains knowledgeable of technologies within functional area.
• Writes and submits intellectual property (patents).
• Reviews or coordinates vendor activities to support development.
• Contributes to a strong team culture around high expectations and high performance.

Education and Experience required:

• BE/B.Tech degree in Mechanical/Biomedical engineering.
• 3-6 years of experience in similar work.
• Knowledge in medical grade material sciences and processing – Metals, Polymers, Plastics
• Proficient in CAD Design, GD&T, Tolerance stack-ups
• Knowledge of quality system & processes that need to be applied for product development.

India-Haryana, Gurgaon

Your responsibilities will include:

• Own the reference architecture for GenAI: LLM hosting, vector DBs, orchestration layer, real‑time inference, and evaluation pipelines.
• Design and govern Retrieval‑Augmented Generation (RAG) pipelines—embedding generation, indexing, hybrid retrieval, and prompt assembly—for authoritative, auditable answers.
• Select and integrate toolchains (LangChain, LangGraph, LlamaIndex, MLflow, Kubeflow, Airflow) and ensure compatibility with cloud GenAI services (Azure OpenAI, Amazon Bedrock, Vertex AI).
• Implement MLOps / LLMOps: automated CI/CD for model fine‑tuning, evaluation, rollback, and blue‑green deployments; integrate model‑performance monitoring and drift detection.
• Embed “shift‑left” security and responsible‑AI guardrails—PII redaction, model‑output moderation, lineage logging, bias checks, and policy‑based access controls—working closely with CISO and compliance teams.
• Optimize cost‑to‑serve through dynamic model routing, context‑window compression, and GPU / Inferentia auto‑scaling; publish charge‑back dashboards for business units.
• Mentor solution teams on prompt engineering, agentic patterns (ReAct, CrewAI), and multi‑modal model integration (vision, structured data).
• Establish evaluation frameworks (e.g., LangSmith, custom BLEU/ROUGE/BERT‑Score pipelines, human‑in‑the‑loop) to track relevance, hallucination, toxicity, latency, and carbon footprint.
• Report KPIs (MTTR for model incidents, adoption growth, cost per 1k tokens) and iterate roadmap in partnership with product, data, and infrastructure leads.

Required Qualifications:

• 10+ years designing cloud‑native platforms or AI/ML systems; 3+ years leading large‑scale GenAI, LLM, or RAG initiatives.
• Deep knowledge of LLM internals, fine‑tuning, RLHF, and agentic orchestration patterns (ReAct, Chain‑of‑Thought, LangGraph).
• Proven delivery on vector‑database architectures (Pinecone, Weaviate, FAISS, pgvector, Milvus) and semantic search optimization.
• Mastery of Python and API engineering; hands‑on with LangChain, LlamaIndex, FastAPI, GraphQL, gRPC.
• Strong background in security, governance, and observability across distributed AI services (IAM, KMS, audit trails, OpenTelemetry).

Preferred Qualifications:

• Certifications: AWS Certified GenAI Engineer – Bedrock or Microsoft Azure AI Engineer Associate.
• Experience orchestrating multimodal models (images, video, audio) and streaming inference on edge devices or medical sensors.
• Published contributions to open‑source GenAI frameworks or white‑papers on responsible‑AI design.
• Familiarity with FDA or HIPAA compliance for AI solutions in healthcare.
• Demonstrated ability to influence executive stakeholders and lead cross‑functional tiger teams in a fast‑moving AI market.

India-Haryana, Gurgaon

Your responsibilities will include:

• Develop and execute comprehensive test plans for AI/ML features including chatbots, recommendation engines, RAG search, and copilots.
• Design and maintain automation frameworks (Selenium, Cypress, Playwright, PyTest) for UI, API, and model‑level testing.
• Implement evaluation harnesses using LangSmith, RAGAS, LangTest, and custom scripts to score relevance, hallucination, fairness, and toxicity.
• Validate RAG pipelines end‑to‑end: embeddings, retrieval quality, prompt integrity, and response grounding.
• Monitor post‑deployment AI performance for drift, regression, and latency; partner with MLOps teams to triage incidents.
• Collaborate with product managers, data scientists, and engineers to define expected outcomes and edge‑case scenarios.
• Document test results, file defects, and drive root‑cause analysis to closure.

Required Qualifications:

• 6+ years of software quality assurance or test‑automation experience, including AI/ML products.
• Proficiency in Python or JavaScript and experience with RESTful API testing (Postman, Swagger).
• Hands‑on with automation tools such as Selenium, Cypress, Playwright, or PyTest.
• Knowledge of LLM evaluation frameworks (LangSmith, RAGAS) and vector database APIs.
• Strong foundation in QA processes: test planning, regression testing, CI/CD integration, and defect lifecycle management.

Preferred Qualifications:

• Experience testing RAG or agentic AI workflows at scale.
• Familiarity with monitoring solutions for model drift and data drift (Vertex AI, Azure Monitor, Fiddler).
• Exposure to ethical‑AI or bias‑testing methodologies.
• Background in healthcare or other regulated domains.

India-Haryana, Gurgaon

Senior Engineer - Agentic AI

Join Boston Scientific at the forefront of innovation as we embrace AI to transform healthcare and deliver cutting‑edge solutions. As a Principal / Senior Engineer – Agentic AI, you will architect and deliver autonomous, goal‑driven agents powered by large language models (LLMs) and multi‑agent frameworks.

Your responsibilities will include:

• Design and implement agentic AI systems leveraging LLMs for reasoning, multi‑step planning, and tool execution.
• Evaluate and build upon multi‑agent frameworks such as LangGraph, AutoGen, and CrewAI to coordinate distributed problem‑solving agents.
• Develop context‑handling, memory, and API‑integration layers enabling agents to interact reliably with internal services and third‑party tools.
• Create feedback‑loop and evaluation pipelines (LangSmith, RAGAS, custom metrics) that measure factual grounding, safety, and latency.
• Own backend services that scale agent workloads, optimize GPU / accelerator utilization, and enforce cost governance.
• Embed observability, drift monitoring, and alignment guardrails throughout the agent lifecycle.
• Collaborate with research, product, and security teams to translate emerging agentic patterns into production‑ready capabilities.
• Mentor engineers on prompt engineering, tool‑use chains, and best practices for agent deployment in regulated environments.

Required Qualifications:

• 8+ years of software engineering experience, including 3+ years building AI/ML or NLP systems.
• Expertise in Python and modern LLM APIs (OpenAI, Anthropic, etc.), plus agentic orchestration frameworks (LangGraph, AutoGen, CrewAI, LangChain, LlamaIndex).
• Proven delivery of agentic systems or LLM‑powered applications that invoke external APIs or tools.
• Deep knowledge of vector databases (Azure AI Search, Weaviate, Pinecone, FAISS, pgvector) and Retrieval‑Augmented Generation (RAG) pipelines.
• Hands‑on experience with LLMOps: CI/CD for fine‑tuning, model versioning, performance monitoring, and drift detection.
• Strong background in cloud‑native micro‑services, security, and observability.

Preferred Qualifications:

• Experience integrating multimodal agents (vision, audio) and reinforcement‑learning feedback loops. • Contributions to open‑source agent frameworks or white papers on autonomous AI.
• Certifications in cloud GenAI services (AWS Bedrock, Azure OpenAI).
• Domain knowledge of healthcare, cybersecurity, or other regulated industries.

India-Haryana, Gurgaon

About Job Role:

Independently conducts development work as part of a major research and/or development project. Receives minimal technical direction/review on broad scope or complex projects. Viewed as an expert in one or more in-house technologies.

• Performs pioneering engineering work as part of major programs.
• Drives complex or novel assignment requiring the development of new or improved techniques and procedures. Work is expected to result in the development of new or refined technologies, products, materials, processes, equipment, and/or scientific method to broaden BSC's Intellectual Property in key strategic areas.
• Is acknowledged as a subject matter expert in a relevant technical field and influences associated site-wide technology planning.
• Is a significant contributor to operational performance improvement through identification and implementation of major CIP'S, application of advanced problem-solving techniques and access to a corporate-wide technical resource base.
• Successfully completes engineering work in one or more of the following: technology development, product design and development, test of materials, preparation of specifications, process study, research investigation (animal and clinical studies), and report preparation.
• Provides guidance to product and technology teams.
• Assesses the feasibility and soundness of alternative engineering processes, products, or equipment.
• Coordinates, manages, and documents project goals and progress and recommends appropriate revisions.
• Interfaces with Physicians/Cath Lab personnel to identify needs and to obtain feedback on concepts and performance of new devices and to translate customer needs into product concepts.
• Develops and coaches others on engineering documentation.
• Trains and/or provides work direction to technicians and less experienced engineers.
• Supports teamwork and staff development through a commitment to mentoring and technical leadership.
• Demonstrates thorough knowledge of manufacturing impact on product performance as perceived by the customer.
• Build Quality into all aspects of work by maintaining compliance to all quality requirements.

Education and Skill-Set Required:

• BE/B.Tech degree in Mechanical engineering
• Minimum 12 years of R&D / NPD experiences in medical devices
• Required to have experience in at least 2 complete product lifecycles i.e. from product conceptualization to design, development, and manufacturing of medical devices
• Knowledge in medical grade material sciences and processing – Metals, Polymers, plastics
• Should have knowledge of quality system & processes that needs to be applied for product development
• Project Management with proficiency in MS project or similar tools

India-Haryana, Gurgaon

Purpose Statement:

Responsible for providing Quality Engineering Input to support Manufacturing, Manufacturing Engineering, and R&D activities that involve the development or use of software products.

Key Responsibilities:

• Develops, applies, revises, and maintains quality standards for software products that the company develops as part of finished products or in support of manufacturing, manufacturing engineering, or quality processes.
• Actively participates in New Product Development, Design Review, and Design Control Activities, as related to software products.
• Develops and implements Process and Product Software Verification and Validation activities with reference to external standards and regulations, such as FDA, ISO, IEEE.
• Leads the activities associated with the Software products risk assessment.
• Provides technical guidance and training to other Department members in Software QA Engineering areas of expertise.
• Controls and maintains the database for tracking defects associated with the products during the design life cycle.
• Provides input to, defines and approves Product and Process Validations and Reports.
• Establishes requirements for Installation and Operational Qualifications for new and replacement equipment.

Requirements:

• Bachelors (or higher) degree in engineering with preference Computer Science.
• 9+ years of experience in medical device R&D quality engineering, systems and / or quality engineering supporting R&D projects, design assurance and documentation.
• Professional training and certification in in Quality Management Systems including ISO 13485, Risk management ISO 14971, design assurance / control, verification and validation.
• Sound understanding of medical device regulatory requirements for Class II and III medical devices.
• Project planning – resourcing, timelines, quality and budgets.
• Skilled in implementing Quality tools like design of six sigma, risk management, FMEA, FTA (Fault Tree Analysis).
• Preference for candidates with CQE certification or similar training and experience
• Proficient in project management tools like MS project.
• Experience in ISO 62304.

India-Haryana, Gurgaon

Purpose Statement:

Develops, establishes, and maintains quality engineering methodologies, systems, and practices which meet BSC, customer, and regulatory requirements. Serves as a Quality representative to improve awareness, visibility, communication on quality initiative.

Key Responsibilities:

• Be a part of core project team and lead the quality engineering across the entire development cycle.
• Support the development of CTQ’s, design input and output documents.
• Support the fixture qualification and test method validation.
• Support the development and implementation of design verification and validation plans with project design lead.
• Support product risk management, usability, reliability and design validation efforts for new product development and design change projects.
• Participate and implement tools like Design of Experiments (DOE’s), FMEA sessions, Risk Management and ensure compliance to CTQ’s and safety requirements.
• Responsible for co-leading stage gate reviews and signatory on all PDP document approvals
• Manage electronic document control and version control on all project related documents.
• Ensure adherence to the quality systems and design assurance SOPs and Boston Scientific’s PLCP.
• Support usability, reliability, testing, verification and validation testing – internal and local vendors.
• Provide statistical testing and reliability plans.
• Work closely with regulatory team to drive alignment of project documentation and regulatory requirements.
• Provide quality and regulatory compliance guidance as needed to product development or design change project teams to assure country specific compliance to the laws and regulations of the targeted market for distribution.
• Ensure appropriate Project/Sustaining Quality Deliverables are created and properly executed (e.g. Project Design & Development Plan, Risk Management Plan, Hazard Analysis, Use and Design FMEA, Field Assessment Plan, and Software Validation Plan if applic
• Co-Lead CAPA efforts, and apply sound, systematic problem-solving methodologies identifying, prioritizing, communicating, and driving resolution of quality issues (e.g., 5 why’s analysis, Is-Is Not analysis, and Six Sigma problem solving methodologies).
• Devise and support the implementation of effective quality assurance, process controls, statistical analyses, and metrics that assure products meet or exceed internal quality as well as statutory requirements.
• Participate in ISO13485 site certification for the R&D center.

Requirements:

• Bachelors (or higher) degree in engineering with preference mechanical engineering.
• 5-7+ years of experience in medical device R&D quality engineering, systems and / or quality engineering supporting R&D projects, design assurance and documentation.
• Professional training and certification in in Quality Management Systems including ISO 13485, Risk management ISO 14971, design assurance / control, verification and validation.
• Sound understanding of medical device regulatory requirements for Class II and III medical devices.
• Project planning – resourcing, timelines, quality and budgets.
• Skilled in implementing Quality tools like design of six sigma, risk management, FMEA, FTA (Fault Tree Analysis).
• Preference for candidates with CQE certification or similar training and experience
• Proficient in project management tools like MS project.
• Experience in GD&T
• Well versed with statistical analytical techniques and s/w tools like MATLAB, MINITAB.