Software Engineer - AI Engineer

• Serve as a Founding AI Engineer, partnering with internal and cross functional teams to define AI product features, scope, and the platform’s technical foundation.
• Design and implement generative AI systems, including multi-agent workflows, LLM orchestration patterns, tool-calling architectures, and MCP integrations to connect models with enterprise APIs, tools, and data systems.
• Build scalable AI data pipelines that ingest heterogeneous data sources and implement AI-driven ETL for cleaning, normalization, deduplication, and structured storage in production databases and vector indexes.
• Develop and optimize GenAI systems, including fine-tuning LLMs and transformer models (e.g., LoRA/PEFT), prompt engineering, and designing RAG architectures for knowledge retrieval.
• Train, test, and deploy machine learning models, building low-latency inference pipelines and scalable AI services for real-time and batch workloads.
• Develop backend services and AI product interfaces, including APIs, microservices, and AI-powered dashboards, while ensuring production reliability through monitoring, autoscaling, and performance optimization.

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 5+ years of experience building production AI or machine learning systems.
• Hands-on experience developing GenAI / LLM-powered applications using models such as GPT, Claude, or Gemini.
• Experience designing and deploying agentic AI systems, MCP integrations, and LLM orchestration workflows.
• Experience building RAG systems, vector search, and AI knowledge discovery platforms.
• Experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
• Experience designing scalable data pipelines and AI-driven ETL workflows.
• Experience building AI-powered dashboards or knowledge discovery interfaces.

• Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Experience fine-tuning transformer models using techniques such as LoRA or PEFT.
• Hands-on experience with cloud platforms and containerization technologies (e.g., AWS, Docker).

Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.

Equal Employment Opportunity
Russell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.

Fair Chance Employment
Russell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances.

Accommodations
We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. 

Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.