If you’re aiming to break into the world of enterprise AI applications, this opportunity AI Application Developer at Thermo Fisher Scientific could be a strong starting point. This role is not just about coding—it blends AI, business systems, and real-world problem-solving in a large-scale enterprise environment. For freshers from the 2025–2026 batch, this position offers exposure to cutting-edge AI technologies while working on systems that directly impact global healthcare, research, and scientific innovation.
Unlike typical entry-level roles, this position emphasizes learning and adaptability, especially in platforms like Salesforce and enterprise SaaS tools. If you’re someone who wants to apply AI in real business workflows rather than just theoretical models, this role aligns well with that direction.
About the Company
Thermo Fisher Scientific is one of the largest and most influential companies in the scientific and healthcare domain, generating over $40 billion in annual revenue. The company plays a crucial role in enabling research, improving diagnostics, and supporting pharmaceutical innovation.
Its portfolio includes globally recognized brands like Thermo Scientific, Applied Biosystems, and Fisher Scientific. The organization supports industries ranging from biotechnology and pharmaceuticals to environmental research and clinical diagnostics.
Working here means contributing to systems that power laboratories, healthcare solutions, and research breakthroughs worldwide. The scale and impact of the company make it a valuable addition to any fresher’s career.
Role Overview
The AI Application Developer role is part of the Enterprise Technology & Operations (ETO) team. This team is responsible for building and maintaining enterprise-level applications that manage critical business operations such as sales, manufacturing, customer data, and analytics.
As a fresher, you will work closely with experienced engineers and business teams to develop AI-driven applications, integrate systems, and improve workflows. The focus is not just on building models but also on deploying practical AI solutions that enhance productivity and decision-making.
Responsibilities
- Assist in developing AI-powered business applications using modern tools and APIs
- Work with datasets to perform data cleaning, preprocessing, and feature engineering
- Support integration of AI solutions with Salesforce platforms using APIs and automation tools
- Build intelligent workflows using Salesforce Einstein, Flows, and automation features
- Collaborate with cross-functional teams to deliver end-to-end enterprise solutions
- Participate in testing, debugging, and performance improvements of applications
- Document technical solutions, experiments, and learnings clearly
- Continuously learn and adapt to enterprise platforms like Salesforce and Oracle CPQ
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Who Can Apply
| Criteria | Details |
|---|---|
| Education | B.Tech / BE / BS in CS, IT, Data Science, AI/ML or related |
| Batch | 2025 / 2026 |
| Location | Bangalore (Onsite) |
| Experience | Freshers / Entry-Level |
| Work Type | Full-Time |
Preferred Skills
- Strong fundamentals in Python and TypeScript
- Understanding of AI concepts like RAG, APIs, JSON, and system integration
- Basic experience with SQL and data handling
- Familiarity with cloud platforms (AWS/GCP/Azure)
- Exposure to Salesforce or SaaS platforms (bonus, not mandatory)
- Knowledge of automation tools or low-code platforms
What You’ll Get
- Hands-on experience working on enterprise AI applications
- Exposure to Salesforce ecosystem (Sales Cloud, Service Cloud, Einstein AI)
- Opportunity to work on real-world datasets and business workflows
- Mentorship from experienced professionals in AI and enterprise systems
- Skill development in cloud, SaaS, and AI integration
- Strong foundation for careers in AI + enterprise software
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Stipend (Market Estimate) 💰
Since Thermo Fisher Scientific has not officially disclosed the salary for this entry-level role, here’s a realistic market estimate based on similar AI/Application Developer roles in Bangalore:
- Estimated Salary Range: ₹6 LPA – ₹12 LPA
- Monthly Equivalent: ₹50,000 – ₹1,00,000/month
For freshers in AI + enterprise platforms (like Salesforce + Cloud), compensation may vary depending on:
- Technical skills (Python, AI, APIs, SQL)
- Internship or project experience
- Understanding of enterprise tools (Salesforce, cloud platforms)
Candidates with strong AI project experience or prior internships may receive offers on the higher end of the range.
How to Apply
If you’re interested in this role, prepare yourself strategically before applying. Focus on building a strong profile that aligns with enterprise AI development:
- Highlight projects involving AI, APIs, or data processing
- Showcase your understanding of real-world problem-solving using technology
- If possible, include projects related to automation, CRM systems, or cloud deployment
- Practice explaining your projects clearly, as communication is important for cross-team collaboration
- Brush up on basics like Python, SQL, APIs, and system design fundamentals
Make sure your resume clearly reflects your technical skills, internships, and any AI-related work. Once ready, apply by clicking the official application button on the job platform where this listing is available.
Final Thoughts
This role stands out because it sits at the intersection of AI, enterprise systems, and real-world applications. While many AI roles focus heavily on research or isolated model building, this opportunity at Thermo Fisher Scientific focuses on delivering business value through AI.
For freshers, this is a chance to gain exposure to both technical depth and business impact, which is highly valuable in today’s job market. If you’re willing to learn platforms like Salesforce and adapt quickly, this role can open doors to long-term growth in AI, cloud, and enterprise development.
Disclaimer: This job information is collected from official/public sources. We do not charge any fees for job updates, do not guarantee recruitment, and are not responsible for any loss arising from reliance on this information.
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