Deep experience with large language models, including fine-tuning, prompt engineering, and optimization.
Strong software engineering skills in Python, Go, or C++ with distributed systems and cloud infrastructure expertise.
Proven data engineering skills: building large-scale data pipelines and working with embeddings, vector databases, or search.
Solid understanding of machine learning fundamentals such as transformers, deep learning, and self-supervised learning.
Bonus: Experience with reinforcement learning, retrieval-augmented generation, or multi-agent AI systems.
Responsibilities
Develop end-to-end AI-powered workflows, balancing research and engineering for production-ready models.
Build and optimize data pipelines to process high-volume structured and unstructured data.
Design and execute benchmarks to evaluate AI models, improve performance, and reduce compute costs.
Fine-tune and train large language models for production engineering and reliability use cases.
Research and experiment with innovative techniques like reinforcement learning, retrieval-augmented generation, and autonomous reasoning.
Collaborate within a high-impact team to translate research into scalable AI-powered solutions.
Benefits
Equity with early exercise and QSBS eligibility.
Comprehensive medical, dental, and vision insurance.
Monthly housing stipend.
Flexible (unlimited) paid time off.
Visa sponsorship and immigration support.
401(k) plan.
Parental leave.
Discretionary tech benefit stipend.
Daily in-office lunches and dinners.
Full Job Description
What You'll Do
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 AI models, improve performance, and reduce compute costs
Fine-tune and train Large Language Models (LLMs) for production engineering and reliability use cases
Research and experiment with novel techniques, including reinforcement learning, retrieval-augmented generation, and autonomous reasoning
Work in a collaborative, high-impact team, translating research into scalable AI-powered solutions
What We're Looking For
Deep experience with LLMs: Experience working with foundation models (e.g., GPT-4, Llama, Gemini), including fine-tuning, prompt engineering, and optimization
Strong software engineering skills: Proficiency in Python, Go, or C++ with experience in distributed systems and cloud infrastructure
Data engineering expertise: Experience working with large-scale data pipelines, embeddings, vector databases, or search
Machine learning fundamentals: Understanding of transformers, deep learning, and self-supervised learning
Bonus: Experience with Reinforcement Learning (RLHF/RLCEF), Retrieval-Augmented Generation (RAG), or multi-agent AI systems
Why Join Resolve AI?
Make a Real Impact: Join a mission-driven team tackling complex challenges that deliver meaningful outcomes for customers and revolutionize engineering operations.
Shape Agentic AI's Future: Help build the next frontier in enterprise software and define its transformative impact.
Own Your Work: Take end-to-end responsibility in your role in a collaborative, high-trust environment.
Accelerate Your Career: Grow alongside industry leaders in a fast-paced environment, gaining invaluable experience and opportunities to propel your career to new heights.
Competitive Benefits: Competitive Pay Packages with full benefits including:
Comprehensive Medical, Dental, and Vision Insurance
