Senior Data Scientist – Generative AI

Accountabilities:

• Design, develop, and deploy LLM-based applications for conversational intelligence and insight generation

• Build multi-step AI workflows including retrieval-augmented generation, orchestration, routing, and tool-using agent patterns

• Define and implement evaluation frameworks for LLM outputs, including quality, safety, reliability, and business value

• Work with large-scale structured and unstructured datasets using platforms such as Spark, Databricks, and Snowflake

• Partner with engineering teams to transition GenAI prototypes into scalable production systems

• Develop clean, maintainable Python code and contribute to engineering best practices including version control, documentation, and code reviews

• Ensure adherence to enterprise standards for security, privacy, compliance, and responsible AI governance

Requirements:

• Bachelor’s degree with 5+ years of experience, or Master’s degree with 3+ years in data science, computer science, engineering, or a related field

• Strong proficiency in Python and modern software development practices for AI systems

• Deep experience working with NLP and text-based applications, including transformer models and embeddings

• Hands-on expertise with LLM architectures, prompt engineering, and frameworks such as LangChain, LangGraph, AutoGen, or CrewAI

• Experience building retrieval-augmented generation systems and agent-based AI workflows

• Familiarity with cloud and data platforms such as Azure, GCP, Databricks, or Snowflake

• Experience deploying and supporting AI/ML systems in production environments

• Strong understanding of data privacy, governance, and compliance requirements

• Excellent communication skills with the ability to collaborate across technical and non-technical teams

• Experience working in EST or CST time zones preferred or required depending on coordination needs

Benefits:

• Competitive annual base salary range: $117,600 – $161,700 depending on experience and location

• Eligibility for performance-based bonus incentive plan

• Comprehensive medical, dental, and vision insurance coverage

• 401(k) retirement savings plan with employer support

• Paid time off including holidays, personal days, parental leave, and caregiver leave

• Short-term and long-term disability coverage and life insurance

• Remote-first flexibility with occasional travel for meetings or training

• Internet reimbursement and home office equipment support for eligible employees

• Strong emphasis on work-life balance and whole-person well-being programs.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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