AI Software Engineer
JW Player
About JWP Connatix:
JWP Connatix is the most comprehensive independent video technology and monetization platform, helping broadcasters, publishers, and advertisers deliver premium streaming and online video experiences while maximizing video revenue across all screens. The company offers an end-to-end platform that streamlines live and on-demand video with hybrid monetization models, unique data and insights, unmatched customer service, and the largest independent premium video marketplace, providing the entire media ecosystem with enhanced scale, transparency, and revenue.
- Our video players are embedded directly on publisher sites including Accuweather, Axel Springer, Dotdash Meredith, McClatchy, Penske Media Co., and more.
- We work with leading brands and agencies including American Express, Citi, Dentsu, Mars, UM, and more helping them target ads against our publishers’ video content.
- We power streaming for over 2,000 blue-chip media companies, including 80% of the top 25 Comscore US publishers. As the largest independent global video network across CTV and OLV, we reach over 1B unique users and deliver 30B+ combined video plays and ad impressions every month.
- Rapidly prototype and build MVP solutions using AI-First development methodologies
- Develop, integrate and evaluate sophisticated AI tools throughout the software development lifecycle
- Implement AI-assisted coding, testing, and deployment practices within development workflows
- Collaborate closely with stakeholders to gather requirements and incorporate feedback into iterative prototypes
- Design and develop proof-of-concept applications that demonstrate innovative solutions
- Optimize development pipelines by identifying and adopting new AI tools and best practices
- Work cross-functionally to ensure smooth handoffs of MVP products to other engineering teams
- Document and refine AI-First methodologies for broader organizational adoption
- Participate in rapid iteration cycles, turning stakeholder feedback into actionable technical improvements
- Evaluate emerging AI development tools and assess their potential impact on team productivity
- Mentor junior team members on AI tool adoption and best practices
- Contribute to establishing industry best practices for AI-integrated software development
- Build scalable prototypes that can serve as technical foundations for production implementations
- Collaborate with product and design teams to validate technical feasibility of AI-driven concepts
- Computer Science degree or equivalent experience
- 3-5 years of software engineering experience with modern programming languages (Python, JavaScript/TypeScript, etc.)
- Hands-on experience with AI/ML cloud services (OpenAI, Google APIs, etc) and modern AI development tools (GitHub Copilot, Cursor, Claude, ChatGPT)
- Knowledge of AI/ML security best practices
- Proven experience in rapid prototyping and MVP development
- Experience integrating AI tools into workflows and strong understanding of SDLC and CI/CD
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
- Proficiency in Python preferred
- Understanding of database technologies (SQL, NoSQL)
- Ability to work in fast-paced, iterative environments, collaborate with cross-functional teams, and quickly adapt to new technologies
- Strong problem-solving skills and curiosity about emerging AI
- Experience with testing frameworks, automated testing, version control, and collaborative development