Research Engineer

Resolve AI
San Francisco
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Skills: ["Collaboration","End-to-end ownership","Research experimentation","High-impact teamwork"]

Build AI-powered production workflows end-to-end, combining research and engineering to develop and evaluate production-ready LLM models. Own data pipelines for structured and unstructured training data, design benchmarks to improve performance and reduce compute costs, and fine-tune models for reliability and enterprise use cases. Research and prototype techniques like RL, RAG, and autonomous reasoning, collaborating with a high-impact team to deliver scalable agentic AI solutions.

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FursaFursa
Resolve AI
Resolve AI
2 years ago

Research Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Build AI-powered production workflows end-to-end, combining research and engineering to develop and evaluate production-ready LLM models. Own data pipelines for structured and unstructured training data, design benchmarks to improve performance and reduce compute costs, and fine-tune models for reliability and enterprise use cases. Research and prototype techniques like RL, RAG, and autonomous reasoning, collaborating with a high-impact team to deliver scalable agentic AI solutions.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Develop AI-powered workflows end-to-end, balancing research and engineering to create production-ready AI models.
  • •Build and optimize data pipelines to process high-volume structured and unstructured data for training and evaluation.
  • •Design and execute benchmarks to evaluate models, improve performance, and reduce compute costs.
  • •Fine-tune and train LLMs for production engineering and reliability use cases.
  • •Research and experiment with novel techniques including reinforcement learning, RAG, and autonomous reasoning.

Pay and Benefits

Perks:Health InsuranceDentalVision401kPaid LeaveParental LeaveHousing Stipend

Key Requirements

  • •Deep experience with LLMs, including foundation models such as GPT-4, Llama, or Gemini, plus fine-tuning, prompt engineering, and optimization.
  • •Strong software engineering skills with proficiency in Python, Go, or C++, including distributed systems and cloud infrastructure experience.
  • •Expertise in data engineering, including large-scale pipelines and work with embeddings, vector databases, or search.
  • •A solid ML foundation, including transformers, deep learning, and self-supervised learning.
  • •Bonus: experience with reinforcement learning (RLHF/RLCEF), RAG, or multi-agent AI systems.
Skills:CollaborationEnd-to-end ownershipResearch experimentationHigh-impact teamwork
Tech Stack:PythonGoC++GPT-4LlamaGeminiLLMsLarge Language ModelsTransformersDeep learningSelf-supervised learningReinforcement learningRLHFRLCEFRetrieval-augmented generationRAGMulti-agentVector databasesEmbeddingsSearch

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Resolve AI
Builds AI-driven software to automate workflows and surface insights from business data, helping teams make faster, data-informed decisions through natural language interfaces and intelligent automation.
Industry: Enterprise Software
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