about 2 hours ago
Base Salary
$145k - $250k/yr
Responsibilities
- Design, implement and deliver scalable AI-centric software systems.
- Drive the development of agentic AI capabilities for identifying vulnerabilities.
- Own and drive the end-to-end development of product features.
- Contribute to the design and implementation of AI-enabled systems.
- Lead technical discussions, code reviews, and design sessions.
- Provide mentorship and support to junior engineers.
- Collaborate with cross-functional teams to integrate AI capabilities.
Requirements
- 7+ years of experience in distributed-systems and backend software engineering.
- Experience with AI technologies, e.g. LLMs, RAG, MCP.
- Excellent grasp of token usage optimization and LLM cost optimization techniques.
- Expert knowledge of golang (4+ years) and solid hands-on experience with Python.
- Strong experience with microservices, REST API design, and gRPC.
- Strong design skills required; UML is a bonus.
- Experience with asynchronous messaging technologies like Google PubSub and Kafka.
- In-depth knowledge of NoSQL and RDBMS technologies.
- Strong experience with Docker, Kubernetes, and Cloud Environments (GCP preferred).
- Experience working on agile teams.
- Excellent communication and collaboration skills.
- Experience working on and scaling a microservice-based application.
- Proven ability to thrive in a collaborative environment.