TL;DR

Senior AI/ML Engineer (GenAI): Building and optimizing high-performance Generative AI applications and RAG pipelines with an accent on document intelligence and scalable production services. Focus on architecting end-to-end GenAI workflows, optimizing LLM performance through fine-tuning, and implementing advanced semantic search systems.

Location: Remote (Must be based in the USA)

Salary: $140,000 - $210,000 a year

Company

A fast-growing, data-first company helping clients drive impact through advanced technology platforms like Google Cloud and Salesforce.

What you will do

Design and implement end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud.
Develop advanced RAG pipelines and Semantic Search systems using GCP Vector Search or Pinecone.
Lead LLM and Embedding fine-tuning efforts to improve domain-specific performance.
Build and manage agentic workflows that automate complex multi-step reasoning tasks.
Collaborate directly with customers to translate business needs into high-performance AI architectures.
Apply MLOps best practices to ensure models are served efficiently, monitored, and continuously improved.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
5+ years of professional experience in AI/ML.
Proven track record of deploying GenAI products into a production environment.
Mastery of Python and shell scripting.
Extensive experience with Google Gemini, GPT-4, or LLaMA, including Prompt Engineering and Fine-tuning.
Must be authorized to work in the US (based on provided benefits like 401k and EEO compliance).

Nice to have

Experience with Classic Machine Learning (neural nets, training, tuning).
Knowledge of Data Engineering and SQL.

Culture & Benefits

Comprehensive Health Insurance, Paid Leave (Vacation/PTO), and Sick Leave.
401(k) Employer Match.
Paid Holidays and Parental Leave.
Employee Referral Bonuses.
A culture dedicated to continuous learning and solving tough technical problems.