Senior Software Engineer, AI Products – Agents
Posted 8hrs ago
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Job Description
Senior Software Engineer building NextJS, FastAPI, and AI-powered products for Paramount Streaming. Owning internal data tools that guide streaming performance, audience, and content decisions.
Responsibilities:
- Architect and build internal web applications using NextJS and FastAPI
- Design and own backend services and REST APIs powering automation tools and AI-driven features
- Partner with data engineers to integrate BigQuery pipelines and metadata systems into user-facing products
- Drive features from concept through production, owning technical design, implementation, and reliability
- Solve ambiguous problems across the stack while balancing delivery speed with maintainability
- Mentor junior engineers through code reviews, pair programming, and technical guidance
- Define and champion engineering standards for code quality, testing, and system design
- Shape the technical roadmap and architectural decisions as the team scales
Requirements:
- 5+ years of software development experience building internal tools or data-driven applications
- Strong proficiency in Python and modern JavaScript/TypeScript
- Experience architecting production web applications with React or NextJS
- Experience designing and scaling REST APIs, such as FastAPI
- Deep knowledge of SQL and cloud data warehouses including BigQuery and Snowflake, including performance optimization
- Ability to own systems end-to-end: design, deployment, monitoring, and iteration
- Experience mentoring engineers and spearheading engineering standards
- Strong communication skills with non-technical stakeholders
- Experience with workflow orchestration systems such as Airflow, Prefect, or Dagster at scale
- Hands-on experience building production AI solutions, including agents, agentic workflows, and RAG systems
- Knowledge of LLM frameworks such as LangChain, LangGraph, or Google ADK and their tradeoffs
- Experience integrating OpenAI, Anthropic, or Gemini APIs into production, including prompt engineering and cost management
- Background in containerization and cloud infrastructure such as Docker, Kubernetes, GCP, or AWS
- Background in data engineering, pipeline design, and building tooling for analysts
- Experience in media, entertainment, or streaming industries
Benefits:
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) plan
- Life insurance coverage
- Disability benefits
- Tuition assistance program
- PTO
- Bonus eligibility
- Attractive compensation and comprehensive benefits packages
- Generous paid time off
- Opportunities for on-site and virtual engagement events
- Opportunities to make meaningful connections and build a vibrant community




















