Salesforce AI / Einstein Developer

• 15+ years in software development
• 3 6 years hands-on AI/ML experience
• Strong Python experience
• Hands-on with Hybrid RAG and Natural Language Query (NLQ)
• Experience delivering production-grade AI solutions
• Hands-on integrations and data ingestion from Genesys Cloud, Salesforce, and internal/external APIs
• Skilled in monitoring, debugging, and optimizing data pipelines/data flows
• Experience with data modeling, performance tuning, and working with structured & semi-structured data (ETL/analysis)
• Exposure to data science and compute environments like Kubernetes
• Experience with Agile and DevOps practices
• Familiar with JIRA
• Experience with Git and CI tools (Jenkins/TeamCity)
• Strong communication and problem-solving skills

Desired skills

• Experience in Python, Hybrid RAG, NLQ Interface
• Wealth Management and Contact Center experience

Educational Qualification: Minimum BS degree in Computer Science, Engineering, or a related field.

• Develop and enhance an AI insights platform using Python, Hybrid RAG (semantic + keyword retrieval), and grounded LLM workflows to extract, categorize, and summarize insights from enterprise text and knowledge sources.
• Apply data science techniques (exploratory analysis, feature engineering, statistical methods, clustering/classification, topic modeling, sentiment analysis, and evaluation metrics) to improve insight quality, relevance, and accuracy; design experiments and track model/LLM performance over time.
• Build an NLQ (Natural Language Query) interface and robust API integrations to connect the platform with upstream and downstream systems, enabling automated workflows and seamless consumption of AI outputs.
• Create and maintain a dashboard (React + backend APIs) to visualize trends, classifications, and key metrics; deliver scalable, production-ready services with testing, code reviews, CI/CD, and operational support in an agile, cross-functional environment.