Foodsmart

Staff AI Engineer

Foodsmart$190K — $210K *
US-AnywhereRemote in United States
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in software engineering, including 2+ years at Staff Engineer level
  • 4+ years of backend development using TypeScript, Node.js, SQL-based databases
  • 1+ years of experience deploying ML/AI models in production settings
  • In-depth knowledge of system architecture and cloud infrastructure (AWS)
  • Strong familiarity with data pipeline tools like Docker, Kubernetes, and dbt
  • Proven track record in mentoring and leading cross-functional engineering projects
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field

Responsibilities

  • Own architecture and implementation of distributed systems and APIs for ML models
  • Lead design for AI integration across product lines for inference workflows
  • Drive fine-tuning and deployment of pre-trained models for critical business use cases
  • Integrate external AI services and evaluate build vs. buy options
  • Define platform-wide standards for backend engineering, MLOps, and observability
  • Mentor senior and mid-level engineers to improve system design and code quality
  • Collaborate with leaders across functions to align tech initiatives with business goals
  • Influence AI strategy, evaluating emerging technologies for adoption
  • Conduct root-cause analyses and tune performance for reliable systems

Benefits

  • Remote-first company
  • Unlimited PTO
  • Flexible work location
  • Healthcare coverage (Medical, Dental, Vision)
  • 401k plan and bonus opportunities
  • Registered Dietitian sessions
Full Job Description
| About the role:

Foodsmart is seeking a Staff AI Engineer who will play a critical leadership role in shaping the architecture and delivery of AI-powered systems across the organization. You'll operate at the intersection of backend engineering and applied machine learning-designing resilient infrastructure, deploying cutting-edge models, and mentoring engineers across teams. This role goes beyond building software: it's about setting strategy, elevating engineering standards, and turning AI innovation into scalable, real-world impact.

You will

  • Own the architecture and implementation of distributed, high-scale backend systems and APIs that serve machine learning models in production.
  • Lead technical design for AI integration across product lines, enabling real-time and batch inference workflows using LLMs, transformers, and classification models.
  • Drive the fine-tuning and deployment of pre-trained models (e.g., from Hugging Face or OpenAI) for mission-critical business use cases in domains such as healthcare, finance, or operations.
  • Integrate external AI services where appropriate and evaluate trade-offs for build vs. buy decisions.
  • Define and evolve platform-wide standards for backend engineering, MLOps, model governance, and observability.
  • Mentor and support senior and mid-level engineers, both within your team and across functions, to elevate system design and code quality.
  • Collaborate with cross-functional leaders in product, ML research, data engineering, and DevOps to align technical initiatives with business goals.
  • Influence AI strategy and roadmap, evaluating emerging technologies and frameworks for future adoption.
  • Lead root-cause analyses and performance tuning to ensure systems remain reliable, efficient, and scalable.


You are

  • A senior technical leader with a demonstrated ability to architect, build, and scale AI-backed systems in production environments.
  • Comfortable operating across layers-from backend API services to AI Services and ML model lifecycle management-while driving architectural clarity and system-level thinking.
  • Experienced in bridging the gap between research and production, with a strong focus on reliability, maintainability, and business outcomes.
  • Skilled at leading cross-team initiatives, guiding technical direction, and fostering a high-trust engineering culture.
  • Able to influence without authority, collaborating across teams to align on complex technical trade-offs.
  • Deeply invested in engineering excellence, with a strong bias toward automation, observability, and security.


You have

  • 8+ years of professional software engineering experience, including 2+ years at the Staff Engineer level or equivalent
  • 4+ years of experience with backend development in TypeScript, Node.js, and SQL-based RDBMS (e.g., PostgreSQL, MySQL)
  • 1+ years deploying ML/AI models to production, with hands-on experience fine-tuning LLMs or transformer-based models
  • Deep understanding of system architecture, cloud infrastructure (AWS), and scalable API design
  • Strong experience with Data Pipeline tooling (e.g., Docker, Kubernetes, dbt, Dagster) and model deployment practices
  • Proven leadership in setting technical direction, mentoring engineers, and driving cross-team projects to completion
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field


$190,000 - $210,000 a year

Role: Staff AI Engineer
Location: United States (Remote)
Base Salary Range: $190,000-$210,000

Our salary ranges are determined by role, level, and location. Individual pay is determined by work location, job-related skills, experience, and relevant education or training.

| About our benefits and perks:

Remote-First Company
Unlimited PTO
Flexible & remote location
Healthcare Coverage (Medical, Dental, Vision)
401k & bonus
Registered Dietitian Sessions

About Foodsmart

Foodsmart is a healthcare company that provides a digital platform for personalized nutrition and wellness coaching. The company's platform uses artificial intelligence and machine learning algorithms to help individuals achieve their health goals by providing personalized nutrition plans, grocery lists, and recipes. Foodsmart was founded in 2018 and is headquartered in San Francisco, California.
Learn more about Foodsmart
Size
50 employees
Industry
Founded
2010

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