Senior Software Engineer, Agents

Jobtailor; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor in San Francisco, CA is seeking a senior software engineer to design and build scalable AI-enabled runtime systems. You will own features end-to-end, from runtime capability to user-facing experience, and collaborate with Product, Design, Sales Engineering, and Customer Success to turn ambitious ideas into production systems.

The role requires 7+ years of experience in distributed systems, AI applications with LLMs, and strong backend fundamentals, with a bias toward shipping and

Qualifications

• 7+ years of software engineering experience building production systems.
• Deep understanding of distributed systems and backend architecture.
• Experience building AI applications using LLMs, agents, RAG, MCP, or modern AI frameworks.
• Strong software engineering fundamentals including APIs, concurrency, testing, and system design.
• Experience building developer platforms, orchestration systems, or workflow engines.
• Ability to rapidly prototype while maintaining production quality.
• Strong product instincts and comfort operating in ambiguous environments.
• Exceptional written communication skills.
• A bias toward ownership and shipping.

Responsibilities

• Build the AI Runtime.
• Design and implement the orchestration layer that turns natural-language intent into reliable execution.
• Build systems for entity resolution, context assembly, connector orchestration, and evidence retrieval.
• Develop reusable Skills that encapsulate business workflows and domain expertise.
• Build routing systems that intelligently coordinate connectors, tools, deterministic logic, and multiple language models.
• Build Products Users Trust.
• Own features end-to-end, from runtime capability to user-facing experience.
• Develop evidence-backed reasoning with citations and traceability that users can actually see and verify.
• Build evaluation frameworks that continuously improve quality.
• Implement permission models, freshness validation, and action policies that work transparently for end users.
• Ship and Iterate.
• Build prototypes, validate ideas, and rapidly iterate with customers.
• Write high-leverage code that enables entire product areas.
• Collaborate closely with Product, Design, Sales Engineering, and Customer Success to turn ambitious ideas into production systems.
• Experiment with new agent architectures while maintaining production-grade reliability.

Skills

Distributed systems

Backend architecture

LLMs / AI frameworks

APIs

Concurrency

Testing

Ownership

Prototyping

Tools

Kafka

Postgres

Spark

LangGraph

Temporal

Job description

Responsibilities

• Build the AI Runtime
• Design and implement the orchestration layer that turns natural-language intent into reliable execution.
• Build systems for entity resolution, context assembly, connector orchestration, and evidence retrieval.
• Develop reusable Skills that encapsulate business workflows and domain expertise.
• Build routing systems that intelligently coordinate connectors, tools, deterministic logic, and multiple language models.
• Build Products Users Trust
• Own features end-to-end, from runtime capability to user-facing experience.
• Develop evidence-backed reasoning with citations and traceability that users can actually see and verify.
• Build evaluation frameworks that continuously improve quality.
• Implement permission models, freshness validation, and action policies that work transparently for end users.
• Ship and Iterate
• Build prototypes, validate ideas, and rapidly iterate with customers.
• Write high-leverage code that enables entire product areas.
• Collaborate closely with Product, Design, Sales Engineering, and Customer Success to turn ambitious ideas into production systems.
• Experiment with new agent architectures while maintaining production-grade reliability.

Requirements

• 7+ years of software engineering experience building production systems.
• Deep understanding of distributed systems and backend architecture.
• Experience building AI applications using LLMs, agents, RAG, MCP, or modern AI frameworks.
• Strong software engineering fundamentals including APIs, concurrency, testing, and system design.
• Experience building developer platforms, orchestration systems, or workflow engines.
• Ability to rapidly prototype while maintaining production quality.
• Strong product instincts and comfort operating in ambiguous environments.
• Exceptional written communication skills.
• A bias toward ownership and shipping.
• Nice To Have: Experience building AI agents or agent frameworks, including evaluation systems.
• Familiarity with orchestration frameworks (LangGraph, Temporal, MCP, or similar).
• Experience with retrieval systems, vector search, or knowledge graphs.
• Experience building developer tools or platform infrastructure.
• Experience with data infrastructure including Kafka, Iceberg, Postgres, Spark, or modern data warehouses.