Software Engineer - AI Agent Platforms

3+ years of professional software engineering experience building and shipping production applications.

Strong proficiency in Python or another modern programming language, with experience writing clean, maintainable, and well-tested code.

Solid understanding of backend software engineering fundamentals, including APIs, data structures, algorithms, and distributed systems concepts.

Experience building backend services or APIs, preferably in cloud environments.

Familiarity with event-driven architectures, messaging systems, streaming, or asynchronous processing is a plus.

Experience deploying or supporting applications in cloud environments (AWS preferred) and exposure to Kubernetes, containers, or modern infrastructure tooling is desirable.

Experience with observability tools, logging, metrics, or debugging production systems is a plus.

Experience building or supporting developer-facing products such as APIs, SDKs, CLIs, or developer platforms is highly desirable.

Hands-on experience with LLMs, AI applications, RAG, MCP, or agentic systems is a strong plus.

Our Stack: Python, FastAPI, PostgreSQL, Kubernetes, AWS. You don't need experience with every technology—we're looking for engineers who learn quickly and enjoy working across new technologies.

Soft Skills / Personal Characteristics

Demonstrates ownership by taking features from implementation through delivery while collaborating effectively with teammates.

Strong problem-solving skills with an interest in building reliable, scalable software.

Product-minded and curious about how technical decisions impact developer experience and end users.

Comfortable working in a fast-paced environment with evolving priorities.

AI-native—uses modern AI development tools (such as Claude Code or similar) to improve productivity and engineering workflows.

Excellent written and verbal communication skills, with the ability to collaborate effectively across engineering and product teams.