Note: The job is a remote job and is open to candidates in USA. Comcast, through its subsidiary FreeWheel, is seeking a Lead Software Engineer to design and deliver AI-enabled product capabilities. The role involves leading the development of innovative solutions that enhance automation and decision-making within FreeWheel's applications.
Responsibilities
- Leading the development and implementation of innovative software and web applications, ensuring they align with business objectives and user requirements
- Integrating new systems seamlessly with existing infrastructure, focusing on scalability, security, and continuous performance improvement
- Mentoring team members and providing technical training, fostering a collaborative environment for knowledge sharing and professional growth
- Collaborating with cross-functional teams to ensure successful application integration, advocating for best practices in software development
- Participating in or leading peer programming sessions, design sprints, or prototyping sessions
- Driving the creation, maintenance, and accessibility of comprehensive documentation for all development activities
- Monitoring application performance metrics rigorously, utilizing data to guide enhancements and ensure delivery aligns with project goals
- Providing expert technical advice and support to internal stakeholders and external partners, effectively communicating complex concepts
- Collaborating with the Quality Assurance team to confirm applications meet rigorous testing standards and fulfil technical requirements
- Consistent exercise of independent judgment and discretion in matters of significance
- Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary
- Other duties and responsibilities as assigned
Skills
- Bachelor's Degree
- 10 Years + relevant work experience
- 6+ years of experience in software engineering, with strong focus on AI/ML systems in production
- Strong programming skills in Python (Go a plus)
- Experience building and deploying Agents or LLM-based applications into production environments
- Experience with distributed systems and real-time inference architectures
- Knowledge of core AI domains such as NLP, recommendation systems, or time series modeling
- Experience with model lifecycle practices (evaluation, monitoring, retraining, and iteration)
- Experience with cloud platforms (AWS, Azure, or GCP) and AI tooling ecosystems
- Ability to translate business problems into scalable AI solutions and drive implementation end-to-end
Benefits
- We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality—to help support you physically, financially and emotionally through the big milestones and in your everyday life.
- Please visit the benefits summary on our careers site for more details.
Company Overview
Company H1B Sponsorship