Founding GenAI Egniener – Front Office Investing
| Company | Verition Fund Management |
|---|---|
| Location | San Francisco, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Entry Level/New Grad, Junior, Mid Level |
Requirements
- 0–5 years of industry experience or strong grad/post-doc research background.
- Evidence of building and shipping working code (not just decks or papers).
- Fluency in Python (asyncio, typing, PyTest); familiarity with LangChain/LlamaIndex or similar tools.
- Experience with vector DBs (Weaviate, Qdrant, PGVector) and multimodal APIs.
- Metrics-driven experimental mindset.
- Strong communicator comfortable working directly with investment pros.
Responsibilities
- Use LLM’s to ingest unstructured text and audio, design chunking and embedding strategies, and serve results through RAG/hybrid-search microservices.
- Build regression tests and A/B frameworks; track drift, latency, and analyst-acceptance metrics.
- Ship weekly, log everything, and refine based on tight front-office feedback loops.
- Test SOTA papers, run ablations, and containerize winners via Docker on AWS GPU infrastructure (EKS/Batch).
- Work with DevOps, Data, and Risk teams to meet compliance and security standards.
Preferred Qualifications
- OSS or publication record in NLP, speech diarization, or information retrieval.
- Experience with AWS DevOps (Helm, EKS/Fargate, CDK/Terraform, Batch).
- Interest in equities or macro (finance knowledge not required).