Software Development Engineer III
About The Position
We are Optimum, a leader in the fast-paced world of connectivity, and we're on the hunt for enthusiastic professionals to join our team! We understand that connectivity isn't just a luxury anymore – it's a necessity that empowers lives, fuels businesses, and drives innovation. A career at Optimum means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected. We owe our success to our amazing product, commitment to our people and the connections we make in every community. If you are resourceful, collaborative, team-oriented and passionate about delivering consistent excellence, Optimum is the Company for you! We are Optimum! Job SummaryWe’re looking for a highly skilled and experienced Software Development Engineer III with a strong background in AI and machine learning to join our growing AI engineering team. In this role, you will lead the design, development, and deployment of intelligent systems and AI-powered products. You’ll collaborate with cross-functional teams, including developers, data scientists, ML engineers, product managers, and infrastructure teams to bring cutting-edge innovations to production at scale. You’ll play a key role in technical decision-making, architecture, and mentoring junior/mid-level engineers while pushing the boundaries of what AI can do across our platform.
Requirements
- Bachelor’s or Master’s degree in computer science, Software Engineering, or a related field
- Minimum 7 years of software development experience
- Excellent communication skills and ability to lead technical initiatives across teams
- Proficiency in Python, JavaScript, GIT, NodeJS, and Code Blocks
- Must have Python, JavaScript, and AI expertise
- Experience optimizing AI systems for performance, reliability, and scale
- The person should be a strong team player
- The person should be in the New York or Dallas/Fort Worth area and ready for the hybrid work culture (3 days in the office)
Nice To Haves
- Experience with Google CES, along with prompt engineering, is an added advantage
- Experience with Google Cloud capabilities
Responsibilities
- Lead the end-to-end development of AI-driven systems and services
- Collaborate with research and product teams to translate ML models into scalable production applications
- Architect robust, scalable, and low-latency backend systems and AI pipelines
- Guide the design and implementation of APIs, microservices, and data pipelines supporting AI workloads
- Drive adoption of AI best practices to ethical AI and model interpretability
- Optimize machine learning models for performance, cost, and accuracy in production environments
- Mentor junior and mid-level engineers through code reviews, pair programming, and architectural guidance
- Own software reliability, testing, and observability of AI components
- Stay updated with advancements in AI/ML and drive continuous improvement of the tech stack
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
51-100 employees
