Software Engineer I, AI Solutions & Platforms
Builds production-grade AI/Generative AI solutions (LLMs, RAG, agentic workflows) by designing Python microservices, APIs, and cloud-integrated systems for Thermo Fisher’s scientific and healthcare applications.
- Compensation
- Not disclosed
- Location
- Bengaluru, India
- Work setup
- Not specified
- Seniority
- Junior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Bachelor’s degree in computer science, engineering, or related technical field (Master’s preferred)
- 3+ years of software engineering and AI solutions experience
- Strong Python and REST API backend development (FastAPI preferred)
- Experience with agile/scrum workflows
- Git-based workflows, CI/CD pipelines, and automated testing
- ETL/data pipelines with Pandas/NumPy
- LLM integration (Azure OpenAI, Anthropic Claude, or OpenAI-compatible APIs)
- RAG solution experience
- Clear technical communication skills
Nice to have
- MLOps tools (MLflow, Kubeflow)
- ML frameworks (scikit-learn, PyTorch)
- Cloud platforms (Azure, AWS, GCP) for app deployment
Full description
Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job DescriptionAbout the Role
At Thermo Fisher Scientific, you’ll do meaningful work that makes a positive global impact. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner, and safer. With industry-leading R&D investment, we empower our teams to solve complex scientific challenges—from environmental protection to advancing healthcare and cancer research.
As a Software Engineer, AI Solutions & Platforms, you will play a hands-on technical role in designing, developing, and delivering enterprise-grade AI and Generative AI solutions. You will build production-ready AI services, integrating AI models, including Large Language Models, Retrieval-Augmented Generation (RAG) solutions and agentic workflows into internal and external customer-facing systems. You will also contribute to system design and development using modern AI frameworks, backend technologies, and cloud platforms. In this role, you will write high-quality production code, collaborate closely with product owners, business stakeholders, architects and engineering teams to translate requirements into reliable technical solutions. You will develop reusable components, services, and AI solutions that are scalable, secure, reliable, and maintainable.
Key Responsibilities
- Design, develop, and deploy production-grade Generative AI, including RAG based solutions and agentic workflows.
- Build and maintain Python based microservices and APIs.
- Contribute hands-on to system design, including APIs, service architecture, data models, workflows, and integrations with existing backend and scientific applications.
- Integrate LLMs using Azure OpenAI, Anthropic Claude, and OpenAI-compatible APIs.
- Design and develop secure, scalable RESTful APIs and backend services with a focus on performance, reliability, authentication, rate limiting, and observability.
- Develop and optimize data pipelines using Pandas and NumPy, and implement vector-search solutions using PostgreSQL/pgvector and Qdrant.
- Collaborate with cross-functional teams, including R&D, engineering, data science, IT, Q&A, and regulatory, to define requirements, specifications, and development objectives.
- Work closely with product managers, architects, and other engineers to translate requirements into reliable solutions, and deliver against agile/scrum commitments.
- Write clean, maintainable, well-tested production code, and help troubleshoot, optimize systems as they move into production.
- Contribute to technical documentation, knowledge sharing, code reviews, and engineering best practices.