
AI Software Engineer, CA
Required skills
- AI Agentic Workflow Framework
- multi-agent orchestration
- LLM integration
- RAG
- evaluation pipelines
- Generative AI
- OpenAI APIs
- Claude
- LangChain
- parsing
Nice to have
- autonomous business operations
- semi-autonomous business operations
- state management
- asynchronous event processing
Role summary
The AI Software Engineer will be responsible for the technical foundation of autonomous tools, combining software engineering, API integrations, and AI automation. This role involves designing and deploying scalable pipelines that connect data layers to execution engines. Key responsibilities include developing an AI Agentic Workflow Framework, building multi-agent orchestration platforms, LLM integration layers, RAG systems, and production-grade evaluation pipelines. The engineer will also integrate Generative AI services to automate tasks and collaborate with design and product teams on backend architecture.
AI Software Engineer
Overview: The AI Software Engineer is responsible for the technical backbone of our autonomous tools. This role bridges software engineering, API integrations, and AI-driven automation to design and deploy intelligent, highly scalable pipelines that connect underlying data layers to execution engines.
Key Responsibilities
● Design, develop, and deploy the next-generation AI Agentic Workflow Framework enabling autonomous and semi-autonomous business operations.
● Build multi-agent orchestration platforms, LLM integration layers, retrieval systems (RAG), and production-grade evaluation pipelines.
● Integrate Generative AI services (e.g., OpenAI APIs, Claude, LangChain) to automate parsing, data mapping, and action triggers.
● Partner closely with design and product teams to translate workflow concepts into reliable, highly available backend architecture.
Skills & Seniority Bar
Seniority & Experience: 7-10+ years of hands-on professional software engineering, with significant experience operating at a Senior, Staff, or Lead level scaling distributed systems.
AI / Automation Expertise : Applied experience with LLM orchestration, custom prompt pipelines, state
management, and asynchronous event processing.
Core Infrastructure : Deep knowledge of cloud ecosystems (GCP/AWS), JVM languages (Java/Kotlin), containerization, and microservices architecture.
Compensation, Benefits and Duration
Minimum Compensation: USD 54,000
Maximum Compensation: USD 189,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post.
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