Senior Software Engineer, AI Products – Agents

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• Design and develop internal web applications utilizing NextJS and FastAPI.

• Create and manage backend services and REST APIs that support automation tools and AI-driven functionalities.

• Collaborate with data engineers to incorporate BigQuery pipelines and metadata systems into user-facing applications.

• Lead feature development from initial concept through to production, taking charge of technical design, implementation, and reliability.

• Tackle complex problems throughout the stack while balancing the speed of delivery with maintainability.

• Guide junior engineers through code reviews, pair programming sessions, and provide technical mentorship.

• Establish and advocate for engineering standards related to code quality, testing, and system architecture.

• Contribute to shaping the technical roadmap and architectural decisions as the team evolves.

⛳️ Requirements

• Over 5 years of experience in software development focused on building internal tools or data-centric applications.

• Strong expertise in Python along with modern JavaScript/TypeScript.

• Experience in architecting production-level web applications using React or NextJS.

• Proven track record in designing and scaling REST APIs, particularly with FastAPI.

• Extensive knowledge of SQL and cloud data platforms such as BigQuery and Snowflake, including performance enhancement techniques.

• Capability to oversee systems from design through deployment, monitoring, and subsequent iterations.

• Experience in mentoring engineers and leading the establishment of engineering best practices.

• Excellent communication skills, especially when interacting with non-technical stakeholders.

• Familiarity with workflow orchestration systems like Airflow, Prefect, or Dagster at scale.

• Practical experience in developing production AI solutions, including agents, agentic workflows, and retrieval-augmented generation (RAG) systems.

• Understanding of LLM frameworks such as LangChain, LangGraph, or Google ADK and their respective trade-offs.

• Experience in integrating OpenAI, Anthropic, or Gemini APIs into production environments, including prompt engineering and cost management strategies.

• Background in containerization and cloud infrastructure such as Docker, Kubernetes, GCP, or AWS.

• Experience in data engineering, pipeline design, and creating tools for analysts.

• Familiarity with the media, entertainment, or streaming sectors.

🏝️ Benefits

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k) plan.

• Life insurance coverage.

• Disability benefits.

• Tuition assistance program.

• Paid time off (PTO).

• Eligibility for bonuses.

• Competitive compensation and comprehensive benefits package.

• Generous paid time off.

• Opportunities for both on-site and virtual engagement events.

• Chances to forge meaningful connections and cultivate a vibrant community.