Lead Engineer, AI Engineer, Cloud Engineer - Software

We’re building a small, focused engineering team to use AI, intelligent agents, and automation to transform manual business workflows into efficient, scalable systems. As a Senior Software Engineer, you’ll play a key role in designing and building the systems that make this possible — from automating unstructured data intake to integrating AI-driven logic into existing backend workflows.

You’ll collaborate closely with operations, and other engineers to deliver production-ready automation tools that make a measurable impact. This role is ideal for a hands‑on engineer who loves solving open‑ended problems, working with emerging technologies, and bringing ideas from prototype to production.

Salary range can pay up to $220k/year + benefits are provided by the client. Hybrid with 2 days onsite in Burbank, and 3 days remote (no flex here, do not ask for fully remote)

• Design and develop automation solutions that leverage AI models, rules engines, and workflow orchestration tools.
• Integrate AI-driven components with internal and external services through REST APIs, message queues, or event-driven systems.
• Build and maintain scalable backend systems using Python and frameworks such as FastAPI or Flask.
• Experiment with AI/LLM APIs and frameworks (e.g., OpenAI, Lang Chain, Hugging Face) to prototype intelligent agents and data extraction solutions.
• Collaborate cross‑functionally to identify automation opportunities and translate them into technical designs.
• Ensure quality and reliability, writing clean, testable, and maintainable code.
• Participate in code reviews, architecture discussions, and technical decision‑making.
• Support deployments and monitor production systems to ensure uptime and performance.

• Strong professional software engineering experience.
• Strong proficiency in Python, with experience building RESTful APIs and backend systems (FastAPI, Flask, or Django).
• Experience integrating AI/ML frameworks or APIs (e.g., OpenAI, AWS Bedrock, Vertex AI).
• Experience working with LLMs or AI agents in production.
• Solid understanding of data modeling, asynchronous programming, and microservice architecture.
• Experience automating or optimizing complex workflows (e.g., using NLP, OCR, or RPA).
• Proficiency in writing robust tests and working within CI/CD pipelines.
• Strong problem‑solving ability and curiosity about applying AI to real‑world use cases.

• Familiarity with workflow engines (Temporal, Step Functions, Airflow).
• Exposure to data transformation, labeling, or prompt design.
• Cloud experience (AWS, GCP, or Azure).
• Prior experience in enterprise automation or backend system integration.