TL;DR
Senior AI Engineer (LLM): Leading the design and implementation of scalable AI solutions that drive business value, with an accent on Retrieval-Augmented Generation (RAG) pipelines. Focus on building production-ready AI systems using Python and modern AI/ML frameworks, deploying and maintaining AI solutions in cloud environments.
Company
Roko Labs is a fast-growing strategic product and technology consultancy based in NYC.
What you will do
- Design and implement end-to-end LLM-powered applications, focusing on Retrieval-Augmented Generation (RAG) pipelines.
- Build production-ready AI systems using Python and modern AI/ML frameworks.
- Develop and optimize data ingestion, embedding pipelines, and semantic search workflows.
- Collaborate with product and engineering teams to translate business requirements into scalable technical solutions.
- Ensure code quality, testing, monitoring, and performance optimization of AI systems in production.
- Contribute to MLOps practices including CI/CD pipelines, model lifecycle management, and observability.
Requirements
- Master’s degree in Computer Science, Engineering, AI, or a related field.
- 5+ years of experience in AI/ML engineering or backend software engineering.
- Proven hands-on experience building and deploying LLM applications, especially RAG-based systems.
- Strong programming skills in Python.
- Experience integrating LLM APIs (e.g., OpenAI, Anthropic, Azure OpenAI).
- Experience with at least one major cloud platform (AWS, Azure, or GCP) in production environments.
Nice to have
- Experience contributing to AI system architecture design and technical standards.
- Experience participating in AI roadmap discussions and technical planning.
- Hands-on experience with advanced MLOps frameworks and model governance.
Culture & Benefits
- Developers work on one project at a time.
- Opportunity to work on complex solutions with the latest technologies.
- Remote work means it's up to you whether you work from home, beach, or the office.
- All employees receive a contract for an indefinite period (B2B collaboration is also an option).
- Opportunities for job role switch, education, and knowledge-sharing sessions.
