Director of Application Software Engineering at HP responsible for managing software development projects and leading engineering teams. Collaboration with cross - functional teams to deliver quality solutions at speed and scale.
About the role
- Full Stack Software Engineer helping productize AI and ML capabilities into robust features at PlanHub. Building scalable systems and collaborating closely with AI and engineering teams.
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.
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.
Benefits
- Remote friendly
- Open time-off policy
- 401(k)/RRSP plan with a company match
Job title
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Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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