AI Application Developer (Salesforce)
thermofisher
Job Description
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)
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