Software Engineer II, AI Solutions & Platforms

Thermo Fisher Scientific Inc.; India; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Thermo Fisher Scientific Inc. in India seeks a Software Engineer, AI Solutions & Platforms, to design, develop, and deliver enterprise-grade AI services.

You will build production-ready AI components and integrate LLMs into internal and customer-facing systems. As a Senior Engineer, you will write production code, collaborate with architects and cross-functional teams, and help create scalable, secure backend services that power AI workflows.

Qualifications

• 5+ years of software engineering and AI solutions experience.
• 3+ years building scalable Python backends and REST APIs; FastAPI preferred.
• 3+ years agile/scrum development experience.
• Proficiency with Git-based workflows, CI/CD, and automated testing.
• Experience ETL/data pipelines with Pandas and NumPy.
• Experience integrating LLMs (Azure OpenAI, Claude, or OpenAI).
• RAG solutions including embeddings, retrieval, vector search (Pgvector/Qdrant).
• Strong communication and collaboration skills.

Responsibilities

• Design, develop, and deploy production-grade Generative AI and backend apps using Python, FastAPI, LangChain, LangGraph.
• Contribute to API design, service architecture, data models, and integrations with existing systems.
• Develop and maintain RAG and agentic AI workflows, including embeddings and vector search.
• Integrate LLMs via Azure OpenAI, Anthropic Claude, and OpenAI-compatible APIs.
• Design secure, scalable RESTful APIs; focus on performance, authentication, and observability.
• Build and optimize data pipelines with Pandas/NumPy; implement vector-search with Pgvector/Qdrant.
• Collaborate across R&D, data science, IT, and regulatory teams to define requirements.
• Translate requirements into reliable solutions; deliver on agile/scrum commitments.
• Write clean, tested production code and troubleshoot production systems.
• Contribute to documentation, knowledge sharing, and engineering best practices.

Skills

Python

REST APIs

FastAPI

Agile/Scrum

Git workflows

CI/CD

Testing strategies

ETL pipelines

Pandas

NumPy

RAG

LangChain

LangGraph

Azure OpenAI

OpenAI APIs

PostgreSQL/pgvector

Qdrant

Education

Bachelor's degree in CS/Engineering

Master's degree preferred

Tools

LangChain

LangGraph

Azure OpenAI

PostgreSQL/pgvector

Qdrant

Job description

About 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.

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

About 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.

As a Senior Engineer, you will write production code, collaborate closely with architects and engineering teams, and contribute to technical and design decisions. You will help build AI-driven systems that are scalable, secure, reliable, and maintainable. A successful candidate in this role is expected to develop production-grade AI and Generative AI features, build reliable and high-performing backend services supporting AI workloads, contribute to high-quality code, collaborate effectively with the broader teams, and make a meaningful impact on our products and customer experiences.

Key Responsibilities

• Design, develop, and deploy production-grade Generative AI and backend applications using Python, FastAPI, LangChain, LangGraph and related technologies.
• Contribute hands-on to low- and mid-level system design, including APIs, service architecture, data models, workflows, and integrations with existing backend and scientific applications.
• Develop and maintain RAG and agentic AI workflows, including data ingestion, chunking, embeddings, vector search, retrieval, tool calling, memory, and prompt engineering.
• 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.

Candidate Requirement

Education and Experience

• Bachelor’s degree in computer science, engineering, or a related technical field. Master’s degree preferred.
• 5+ years of combined experience in software engineering and developing AI solutions.
• 3+ years of hands-on experience building scalable backend systems with Python and REST APIs. FastAPI experience preferred.
• 3+ years of experience working in agile/scrum development environments.
• Proficiency with Git-based workflows, CI/CD pipelines, and automated testing strategies.
• Experience building ETL/data pipelines, and data processing workflows using tools such as Pandas and NumPy.
• Experience integrating LLMs using Azure OpenAI or Anthropic Claude, or OpenAI-compatible APIs.
• Hands-on experience developing retrieval-augmented generation (RAG) solutions, including embeddings, retrieval, and vector search using technologies such as PostgreSQL/pgvector or Qdrant.
• Strong communication and collaboration skills, with the ability to explain technical concepts clearly.
• Nice-to-Have: Familiarity with LangChain and LangGraph for developing agentic applications.
• Nice-to-Have: Familiarity with MLOps tools (MLflow, Kubeflow), ML Frameworks (scikit-learn, PyTorch), and model evaluation frameworks.
• Nice-to-Have: Experience developing and deploying applications on cloud platforms such as Azure, AWS, or GCP.