Software Developer - AI Job Req 2025-233
Software Developer - AI Job Req 2025-233
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Job Description
Why Work at Ross Video We have a great group of people working together to create and deliver cutting edge products that look amazing and are easy to use. We go all out so that our customers can have the best possible experience and achieve quality results. With a product focus continual learning results driven processes and creative thinking we constantly strive to improve our solutions and to deliver results. If youve ever watched live television news sports or entertainment youve seen our products in use. All of the major Hollywood award shows most professional sports teams and many of the largest broadcasters in the world use Ross Video technology. Get behind the scenes and learn about what it takes to make live events possible. If that resonates and youre someone with integrity commitment and a strong drive to deliver great products wed love to hear from you.
Were looking for a Full Stack AI Developer whos ready to dive into realworld AI product development. Youll help integrate LLMs optimize RAG systems and build endtoend features that run in production. From inference tuning to backend services and content classification youre involved across the stack.
Who you report to: Director Ross Research Labs/AI
What we offer
Ross offers competitive salaries and comprehensive health plans as well as several perks to help you perform at your best.
Some of these perks include flexible hours generous paid time off fitness/wellness allowance employee share ownership program development support and a ton of fun social activities and events!
Best of all you will be part of the Ross Video family and weve got a pretty energizing environment here.
What the job is all about
- Build and integrate LLM/VLM features into fullstack platforms
- Write backend and frontend code using Python Go (Golang) and SQL
- Contribute to content classification workflows for video audio text and internet sources
- Support RetrievalAugmented Generation (RAG) improvements and prompt engineering
- Deploy models and services using Docker Kubernetes and tools like vLLM or TGI
- Contribute to AI agentic workflows (e.g. ReACT Reflexion CrewAI Tool Use etc.
- Work with and understand the Model Context Protocol (MCP) for contextaware AI
- Integrate with REST and gRPC APIs to build robust scalable systems
Who you are
- Degree in CS Engineering or related fieldor equivalent handson experience
- Comfortable working across the stack with Python and Golang
- Exposure to LLMs openweight models and transformer architectures
- Exposure to evaluation techniques such as LLMasajudge and personabased synthetic data generation
- Basic familiarity with containerization and scalable inference
- Awareness of AI agent patterns structured output generation and RAG techniques
- Interest or background in MCPstyle architectures
- Experience consuming and designing REST and gRPC APIs
Equity Diversity & Inclusion
At Ross we embrace diversity and we want you to bring your authentic self to are committed to building a team that includes a variety of backgrounds perspectives and skills. Inclusivity drives innovation and creativity and thats something were passionate about at Ross! We believe everyone should be able to enjoy a rewarding career at Ross regardless of race colour religion sexual orientation gender gender identity or expression marital status age veteran status physical or mental disability. If a disability means that you need any additional support during the recruitment process please contact Talent Acquisition and we will make all reasonable efforts to accommodate your request.
Other details
- Job FamilyNot Mapped
- Job FunctionNot Mapped
- Pay TypeSalary
Employment Type
Full-Time
