This job has been expired
suryangi@rconsultinginc.com
- Strong Python and backend/data engineering experience
- Experience building production data pipelines (ETL, streaming, or async systems)
- Solid understanding of distributed systems and failure modes
- Experience working with LLM-based systems in production:
- Prompt design
- Output validation
- Retry/fallback strategies
- Evaluation and monitoring
- Experience with data storage systems (SQL + NoSQL)
- Familiarity with cloud infrastructure (AWS or similar)
Preferred Experience
- Experience with RAG / vector search systems
- Background in financial data or capital markets
- Experience with streaming systems (Kafka, etc.)
- Experience building multi-step or agent-style workflows
What Makes This Role Interesting
- Work on high-accuracy AI systems where correctness matters
- Solve real problems around:
- LLM reliability and hallucination mitigation
- Data consistency across conflicting sources
- Real-time vs correctness tradeoffs
- Build systems used in financial decision-making workflows
- High ownership over core architecture in an early-stage environment
Nice to Know (but not required)
- Experience with orchestration tools (Airflow, etc.)
- Exposure to evaluation frameworks for LLMs
- Experience working with large-scale document processing