Engineer III, Software Development (Gen AI Engineer) at Boston Scientific Corporation Malaysia

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

09 Apr, 26

Salary

0.0

Posted On

09 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Pipelines, Document Parsing, Information Extraction, Text Understanding, Knowledge Graph Construction, Entity Linking, Relationship Extraction, GenAI Systems, APIs, Neo4j, NLP, Python, MLOps, Cloud Platforms, Graph Databases, Semantic Search

Industry

Medical Equipment Manufacturing

Description

Your responsibilities will include: Design and develop AI pipelines for document parsing, information extraction, and text understanding using LLMs and NLP techniques. Develop and refine algorithms for knowledge graph construction, entity linking, and relationship extraction from text corpora. Implement GenAI systems for summarization, semantic search, and contextual reasoning using retrieval-augmented generation (RAG). Work with vector databases, embedding generation, and model fine-tuning for domain-specific applications. Build and maintain scalable APIs and backend services to integrate GenAI capabilities with enterprise applications. Design and optimize Neo4j-based knowledge graphs to represent and query structured relationships from unstructured data. Collaborate with data scientists, AI/ML engineers, and software teams (frontend/backend) to integrate GenAI features into production. Evaluate and apply frameworks such as LangChain, LlamaIndex, Hugging Face, and OpenAI APIs for document intelligence workflows. Develop algorithms for semantic search, reasoning, and document-to-graph alignment using graph embeddings and transformer architectures. Ensure data quality, governance, and compliance with enterprise security and information management standards. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field. 7-10 years of experience in AI, NLP, or Machine Learning with hands-on GenAI or document understanding experience. Strong proficiency in Python and familiarity with AI frameworks (PyTorch, TensorFlow). Experience with LLM-based document processing, prompt engineering, fine-tuning, and RAG pipelines. Hands-on experience with graph databases such as Neo4j and query languages like Cypher. Strong understanding of NLP, entity recognition, text classification, and relationship extraction. Experience with LangChain, LlamaIndex, Hugging Face Transformers, and OpenAI APIs. Knowledge of embeddings, vector stores, and semantic search algorithms. Familiarity with cloud platforms (AWS, Azure, GCP) for training and deploying AI models. Strong software engineering skills — version control, modular design, testing, and documentation. Excellent problem-solving abilities and cross-team collaboration skills. Exposure to regulatory and quality systems in medical device software development (e.g., ISO 13485, IEC 62304). Experience with ontology design or knowledge representation learning. Exposure to enterprise search systems such as ElasticSearch, FAISS, Pinecone. Understanding of multimodal AI (text, image, audio). Experience with MLOps techniques for deployment and monitoring. Background in biomedical or healthcare text analytics is a plus.

Responsibilities

Design and develop AI pipelines for document parsing and information extraction. Collaborate with teams to integrate GenAI features into production and ensure compliance with data governance standards.