Senior Full Stack Engineer - AI/ML Productization

PlanHub

38d • Remote

About The Position

Build production-ready APIs and microservices that expose ML model capabilities to applications and end users. Design and implement scalable inference systems supporting both real-time and batch prediction workflows. Develop robust data pipelines for ingesting, processing, validating, and preparing data for ML systems. Create user-facing features powered by AI capabilities including intelligent search, recommendations, and automation. Implement frontend code and application integrations using Angular to produce end-to-end user experiences that consume AI and ML models at inference time in a responsive manner. Optimize model serving for performance, latency, throughput, and cost efficiency. Implement comprehensive logging, monitoring, error handling, and alerting for AI-powered features. Collaborate closely with AI Engineers to understand model requirements, constraints, and integration needs. Work with Product and Engineering teams to translate business requirements into scalable technical solutions. Leverage AWS services such as Lambda, ECS, API Gateway, SQS, and DynamoDB to build resilient systems.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• 5+ years of full stack software engineering experience building and maintaining production systems.
• Strong proficiency in backend development using Python (preferred) or other modern languages.
• Strong proficiency in frontend development using Angular (required).
• Experience designing and building RESTful APIs and microservices architectures.
• Solid understanding of system design principles, scalability patterns, and performance optimization.
• Hands-on experience with AWS cloud services and serverless architectures.
• Familiarity with ML concepts and ability to collaborate effectively with data scientists and ML engineers.
• Experience with databases (SQL and NoSQL), caching strategies, and data processing pipelines.
• Knowledge of containerization (Docker) and CI/CD practices.
• Strong problem-solving skills with attention to code quality, testing, and maintainability.

Nice To Haves

• Previous experience productizing ML models or building AI-powered features.
• Understanding of ML model serving patterns, inference optimization, and common challenges.
• Experience with async processing frameworks and message queues (SQS, Kafka, RabbitMQ, Celery).
• Familiarity with caching solutions (Redis, Memcached, ElastiCache).
• Experience with PHP and Laravel, or similar MVC frameworks.
• Experience with observability tools such as Datadog, Prometheus, or Grafana.
• Experience in construction, real estate, or B2B SaaS environments.
• Background working in cross-functional product teams.
• Contributions to open-source projects or prior startup experience.

Responsibilities

• Build production-ready APIs and microservices that expose ML model capabilities to applications and end users.
• Design and implement scalable inference systems supporting both real-time and batch prediction workflows.
• Develop robust data pipelines for ingesting, processing, validating, and preparing data for ML systems.
• Create user-facing features powered by AI capabilities including intelligent search, recommendations, and automation.
• Implement frontend code and application integrations using Angular to produce end-to-end user experiences that consume AI and ML models at inference time in a responsive manner.
• Optimize model serving for performance, latency, throughput, and cost efficiency.
• Implement comprehensive logging, monitoring, error handling, and alerting for AI-powered features.
• Collaborate closely with AI Engineers to understand model requirements, constraints, and integration needs.
• Work with Product and Engineering teams to translate business requirements into scalable technical solutions.
• Leverage AWS services such as Lambda, ECS, API Gateway, SQS, and DynamoDB to build resilient systems.

Benefits

• The opportunity to join a dynamic team that landed into the top list of Inc. 5000 in 2024 You can make an immediate impact as PlanHub moves to dominate the industry!
• An awesome culture where you will be empowered, make an impact, and learn a ton
• Remote friendly
• Open time-off policy
• 401(k)/RRSP plan with a company match

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees