AI Application Developer
Thermo Fisher Scientific · Bengaluru East, Karnataka, India
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- On site
- Full-time
- $75,000 / year
- Bengaluru East, Karnataka, India
Job highlights
- Develop AI-powered business applications using OpenAI, Claude.
- Clean, preprocess, and engineer data for CRM systems.
- Integrate AI solutions with Salesforce using APIs.
- Build intelligent workflows within Salesforce and automate processes.
- Collaborate with teams on end-to-end AI solutions.
About the role
About Company
Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of more than $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.
About Team
The Enterprise Technology & Operations (ETO) team partners with the business and other IT groups to define, manage, test, validate and deliver the strategic direction and operational performance of Enterprise Applications and Systems for Thermo Fisher Scientific. Our enterprise applications manage business critical activities like order taking and fulfillment, manufacturing, managing new product development and launch, sales and customer management, data and document management, and business insights.
Role Responsibilities
- Assist with developing business applications that leverage AI technologies such as OpenAI, Claude etc.
- Work with datasets to perform data cleaning, preprocessing, and basic feature engineering within the CRM Data store.
- Support / Maintain integration of AI solutions with Salesforce platforms using APIs and built-in tools.
- Contribute to building intelligent workflows within Salesforce (Einstein, Flows, basic automation).
- Collaborate with senior engineers and cross-functional teams to deliver end-to-end solutions.
- Participate in testing, debugging, and improving AI-driven applications.
- Document solutions, experiments, and learnings clearly.
- Open mindset towards learning and adapting to new skills within CRM ecosystem such as – Salesforce.com, Oracle CPQ etc.
Candidate Requirement
- Education: BS degree in Computer Science Engineering, Information Systems, Data Science, AI/ML, or related field (Batch of 2025 / 2026).
Preferred Skills
- Hands-on knowledge – Python, Typescript.
- Understanding of AI Concepts such as RAG, MCP, APIs, JSON, and system integration basics.
- Experience working with SQL and handling real datasets.
- Exposure / Understanding of Salesforce.com platform and SaaS platforms such as AWS.
Good to Have (Not Mandatory)
- Any exposure to Salesforce, low-code/no-code platforms, or automation tools.
- Academic projects or internships involving AI/ML or data analysis.
- Exposure to cloud platforms (AWS/GCP/Azure) or SaaS platforms.
- Basic understanding of CRM concepts or business workflows.
Learning & Growth Expectations (Key Filter)
- Strong interest in learning the Salesforce ecosystem (Sales Cloud, Service Cloud, Einstein AI).
- Willingness to pick up platform-specific development skills (Apex, Lightning Web Components).
- Ability to quickly learn new tools, frameworks, and business domains.
- Interest in applying AI to real-world enterprise problems (customer data, workflows, automation).
Key skills/competency
- AI Application Development
- Python
- Typescript
- SQL
- Salesforce
- APIs
- JSON
- Data Cleaning
- Feature Engineering
- Machine Learning
Skills & topics
- AI Application Developer
- AI
- Machine Learning
- Python
- Typescript
- SQL
- Salesforce
- CRM
- API
- Data Science
- Developer
- Bangalore
How to get hired
- Tailor your resume: Highlight your AI/ML, Python, Typescript, SQL, and Salesforce skills, aligning them with the job description's requirements for AI Application Developer roles.
- Showcase relevant projects: Emphasize academic projects or internships involving AI/ML, data analysis, or Salesforce development to demonstrate practical experience.
- Demonstrate eagerness to learn: Express your strong interest in the Salesforce ecosystem and willingness to acquire new platform-specific development skills (Apex, LWC).
- Prepare for technical interviews: Be ready to discuss AI concepts like RAG, MCP, APIs, JSON, and system integration, as well as your experience with SQL and datasets.
- Research Thermo Fisher Scientific: Understand their mission, values, and how AI applications can support their goal of making the world healthier, cleaner, and safer.
Technical preparation
Master Python for AI and data manipulation.,Understand AI concepts: RAG, MCP, APIs, JSON.,Practice SQL for data cleaning and feature engineering.,Familiarize with Salesforce and its AI capabilities.
Behavioral questions
Describe a time you learned a new technical skill.,How do you approach data cleaning challenges?,Discuss your interest in AI and its applications.,How do you collaborate with a team on projects?
Frequently asked questions
- What specific AI technologies will I work with as an AI Application Developer at Thermo Fisher Scientific?
- As an AI Application Developer at Thermo Fisher Scientific, you will primarily work with AI technologies such as OpenAI and Claude to develop business applications. You'll also be involved in integrating these AI solutions with the Salesforce platform.
- What are the educational requirements for the AI Application Developer role at Thermo Fisher Scientific?
- Thermo Fisher Scientific requires a BS degree in Computer Science Engineering, Information Systems, Data Science, AI/ML, or a related field for the AI Application Developer position. They are specifically looking for candidates from the Batch of 2025 or 2026.
- Is experience with Salesforce necessary for the AI Application Developer position?
- While not strictly mandatory, exposure or understanding of the Salesforce.com platform is a preferred skill for the AI Application Developer role. There is a strong emphasis on learning the Salesforce ecosystem, including Sales Cloud, Service Cloud, and Einstein AI, as part of the role's learning and growth expectations.
- What programming languages and technical concepts are important for this AI Application Developer role?
- For this AI Application Developer role, hands-on knowledge of Python and Typescript is preferred. You should also understand AI concepts like RAG, MCP, APIs, and JSON, along with basic system integration principles and SQL for handling datasets.
- What is the work environment like for an AI Application Developer at Thermo Fisher Scientific in Bangalore?
- The AI Application Developer role at Thermo Fisher Scientific in Bangalore is based in an office environment with a standard Monday to Friday work schedule.
- What kind of data manipulation tasks will an AI Application Developer be involved in?
- As an AI Application Developer, you will work with datasets to perform data cleaning, preprocessing, and basic feature engineering within the CRM Data store. Experience with SQL and handling real datasets is therefore important.
- What are the growth opportunities for an AI Application Developer at Thermo Fisher Scientific?
- Thermo Fisher Scientific offers significant learning and growth opportunities, particularly in the Salesforce ecosystem (Sales Cloud, Service Cloud, Einstein AI). There is a strong willingness to develop platform-specific skills like Apex and Lightning Web Components, and to quickly learn new tools and business domains.