Key skills
PythonSQLTypeScriptAIGenerative AILLMData EngineeringAnalyticsSnowflakeDatabricksCommunicationCollaboration
About this role
Role Overview
- Lead the design and implementation of Generative AI services and Agentic workflows that support multiple product features or teams.
- Integrate LLMs into applications using modern frameworks, working with APIs or internal model endpoints. Implement telemetry, observability, fallbacks, and cost/latency controls.
- Work across data environments to ingest, transform, and serve data for AI use cases, designing practical schemas and retrieval strategies that generalize across environments.
- Design and run experiments to compare prompts, models, and configurations; build evaluation flows to measure relevance, safety, robustness, and business impact.
- Collaborate with product, data science, design, and domain experts to clarify requirements, break down initiatives into technical plans, and deliver roadmap commitments.
- Contribute to and lead code reviews, architecture discussions, documentation, and shared templates/libraries that improve velocity and consistency.
- Monitor AI systems in production, participate in incident response, and drive systemic improvements to quality, safety, reliability, and performance.
- Partner with security, legal, and compliance to ensure data privacy, responsible AI practices, and regulatory alignment.
Requirements
- Degree in Computer Science, Data Science, Software Engineering or related field.
- At least 8yrs of professional experience with a Bachelor’s degree or 6 yrs with a Graduate degree
- 1-year experience in Generative AI technologies (included in the overall professional experience), or 1-2 relevant certifications.
- Logical, practical, and innovative problem-solving skills. Can turn ambiguity into architecture, milestones, and explicit tradeoffs.
- Strong customer-facing communication: able to lead technical discussions, write clear technical documents, and explain solutions to technical and non-technical audiences.
- Shipped and operated LLM-enabled features in production, including evaluation, monitoring, and iteration.
- Working knowledge of Generative AI quality and safety practices.
- Experience building data-intensive systems end-to-end.
- Data engineering fundamentals: ingestion/transforms, maintainable schemas, and retrieval/feature pipelines for analytics and AI.
- Strong Python and SQL. Experience integrating services via APIs. TypeScript or other strongly typed language experience is a plus. The ability to learn new tools quickly is required.
- Hands-on experience with at least one modern data/analytics platform (e.g., Databricks, Snowflake, Palantir Foundry) and the ability to quickly adapt patterns across other environments.
- Ownership mindset with high standards for production readiness and customer outcomes.
- Automotive domain knowledge is a plus, not required.
- Able to travel as needed for customer and internal collaboration.
Tech Stack
- Python
- SQL
- TypeScript
Benefits
- Pay scale : 120000$
- 145000$ per annum