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...

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