Senior Software Engineer
Leads the architecture and scaling of distributed backend systems for AI-powered talent search, matching, and agentic workflows. Requires 7+ years of backend experience, strong cloud and data expertise, and proficiency in a modern object-oriented language.
About the job
Responsibilities
- Architect, evolve, and scale backend services powering search, matching, and AI-driven features.
- Build backend infrastructure for LLM orchestration, agent workflows, and Model Context Protocol integrations.
- Engineer secure, performant RESTful APIs and microservices for high concurrent traffic and complex agent executions.
- Design data models and access patterns across SQL, NoSQL, vector, and search databases.
- Identify bottlenecks, optimize cloud infrastructure, and maintain high availability for mission-critical workflows.
- Mentor junior engineers, conduct code reviews, and drive technical execution.
Requirements
- 7+ years of backend engineering experience designing and scaling production distributed systems.
- Expert proficiency in at least one modern object-oriented language, such as Java, Go, or Python.
- Strong understanding of object-oriented design, concurrency, and clean code architecture.
- Understanding of LLMs, agentic architectures, and Model Context Protocol.
- Strong knowledge of distributed systems, public cloud infrastructure, and containerization/orchestration.
- Hands-on experience with SQL/NoSQL databases, caching strategies, and high-throughput data modeling.
- Bachelor’s or master’s degree in Computer Science, or equivalent practical experience.
Nice-to-haves
- Experience applying generative AI and agentic workflows to backend systems.
- Experience with vector and search databases and large-scale talent or graph data.
Skills
Java, Go, Python, LLMs, Agentic Architectures, Model Context Protocol, Distributed Systems, AWS, GCP, Azure, Docker, Kubernetes, SQL, Nosql Databases, REST APIs
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