Engineer III, Artificial Intelligence
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Engineer III, Artificial Intelligence
Thermo Fisher Scientific
Bengaluru
7+ years
Today
$53.0K–66.3K/yr
Full-time
Onsite
Skills Required
LLM
RAG
Gen AI
agentic workflows
Python
FastAPI
SQL
AWS
Azure
Git
CI/CD
unit testing
Docker
Kubernetes
Databricks
Description
Thermo Fisher Scientific is seeking a Senior AI Engineer to design, build, and deploy scalable AI-driven and data-intensive solutions, focusing on Generative AI applications and enterprise workflow automation.
Company: Thermo Fisher Scientific Inc.
Role: Senior AI Engineer
Experience
LLM/RAG based solutions, Git workflows
Prepare for this role
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Engineer III, Artificial Intelligence
Thermo Fisher Scientific
Bengaluru
7+ years
Today
$53.0K–66.3K/yr
Full-time
Onsite
Skills Required
LLM
RAG
Gen AI
agentic workflows
Python
FastAPI
SQL
AWS
Azure
Git
CI/CD
unit testing
Docker
Kubernetes
Databricks
Description
Thermo Fisher Scientific is seeking a Senior AI Engineer to design, build, and deploy scalable AI-driven and data-intensive solutions, focusing on Generative AI applications and enterprise workflow automation.
Company: Thermo Fisher Scientific Inc.
Role: Senior AI Engineer
Experience
- 7+ years of experience in backend development and AI solutions delivery
- Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent experience
- Master’s degree in Computer Science, Engineering, Data Science, or equivalent experience
- Develop and deploy GenAI powered applications including RAG based solutions and agentic workflows
- Build and maintain Python based microservices and APIs
- Develop and optimize data models for analytics and AI use cases
- Contribute to CI/CD pipelines, DevOps best practices, and release management
- Collaborate with product owners, business stakeholders, and architects to convert business use cases into production ready AI and data solutions
- Support production systems, performance tuning, and continuous improvements
- Collaborate with cross-functional teams to ensure alignment between business needs and technical solutions
- Work schedule: Standard (Mon-Fri)
- Environmental conditions: Office
- Support the mission to enable customers to make the world healthier, cleaner, and safer
- Familiarity with Databricks
- Familiarity with Snowflake
- Familiarity with Delta Lake
- Understanding of integrating AI services with automation platforms
LLM/RAG based solutions, Git workflows
Prepare for this role
Recommended resources to build the skills for this position. Sponsored.
Top 20 LLM System Design Questions (Quick)
Zenaique
A focused LLM system design interview question set.
Top 50 LLM System Design Interview Questions
Zenaique
Curated LLM system design questions from Zenaique.
Top 50 RAG Interview Questions
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