Software Engineer, AI/ML GenAI
Company: ChatGPT Jobs
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-05-23
About this role
Job Description
Job Description: Software Engineer, AI/ML GenAI
Job Overview
Job Title
Software Engineer, AI/ML GenAI
Company
Instrumentl
Location
Remote (US-based candidates required; overlap with Pacific Time Zone hours needed). Concorde, NC and Oakland, CA mentioned as optional office locations.
Employment Type
Full-Time
Compensation & Benefits
- Salary Range: $175,000 - $220,000 per year (US-based).
- Equity: Included in compensation package.
- Health Insurance: 100% covered for employees (50% for dependents).
- Time Off: Generous PTO policy including parental leave.
- Retirement: 401(k).
- Equipment: Company laptop + home workstation stipend.
- Perks: Company retreats and opportunity to work with nonprofit partners.
Key Responsibilities
- Design and Deploy AI Systems: Build resilient, observable agentic LLM systems (including tool planning, function calling, and multi-step workflows) for grant discovery, application drafting, and document parsing.
- Own RAG Pipelines: Manage end-to-end Retrieval-Augmented Generation, including content ingestion, chunking strategies, hybrid retrieval, re-ranking, and grounded citations.
- Manage Embeddings: Select, evaluate, and migrate embedding models; maintain vector stores (e.g., pgvector, Qdrant, Pinecone); monitor drift.
- Collaboration: Work cross-functionally with Product and Design teams; run experiments (A/B testing); contribute to reliability practices like alerts and incident response.
- Code Quality: Write maintainable code, add tests and documentation, and ensure cost/latency optimization.
Required Qualifications
- Experience: 5+ years in professional software engineering, with at least 2 years focused on modern LLMs.
- LLM Agentic Systems: Proven experience building tool/function-calling workflows, planning loops, and safe integrations (e.g., LangChain, LangGraph, LlamaIndex).
- RAG Expertise: Strong understanding of document ingestion, embeddings, hybrid sear...