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Staff AI Engineer
FoodsmartStaff AI Engineer architecting scalable AI and backend systems for Foodsmart’s nutrition-driven healthcare platform. Leading model deployment, MLOps standards, and engineering strategy.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in backend development, system architecture, and machine learning model deployment, with a strong focus on scalable API design and MLOps practices. Proven ability to lead technical initiatives, mentor engineering teams, and align technology with business objectives.
Highest-signal resume keywords
Backend Development in TypeScriptNode.js DevelopmentSQL-Based RDBMS (PostgreSQL, MySQL)Machine Learning Model DeploymentCloud Infrastructure (AWS)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend DevelopmentMachine Learning Model Fine-TuningAPI DesignSystem ArchitectureData Pipeline Tooling
Soft Skills
MentoringLeadershipCollaboration
Tools & Technologies
DockerKubernetesDbtDagster
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceMaster’s Degree in Engineering
Industry Keywords
MLOpsModel GovernanceObservabilityAI IntegrationReal-Time Inference
Tech Stack
Tools & technologiesAWSCloudDockerJavaScriptKubernetesMySQLNode.jsPostgresRDBMSSQLTypeScript
About the role
Key responsibilities & impact- 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 from Hugging Face or OpenAI for mission-critical business use cases
- Integrate external AI services and evaluate build-versus-buy trade-offs
- Define and evolve platform-wide standards for backend engineering, MLOps, model governance, and observability
- Mentor and support senior and mid-level engineers across teams and functions
- Collaborate with product, ML research, data engineering, and DevOps leaders to align technical initiatives with business goals
- Influence AI strategy and roadmap and evaluate emerging technologies and frameworks
- Lead root-cause analyses and performance tuning to ensure reliable, efficient, and scalable systems
- Foodsmart delivers nutrition-driven healthcare, personalized clinical nutrition care, behavior-change tools, and food benefits through its Foodcare platform
Requirements
What you’ll need- 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
Benefits
Comp & perks- Remote-First Company
- Unlimited PTO
- Flexible & remote location
- Healthcare Coverage (Medical, Dental, Vision)
- 401k & bonus
- Registered Dietitian Sessions