12 days ago
Responsibilities
- Design, build, and maintain AI-powered services and APIs using LLMs and custom ML models.
- Develop an enterprise-grade agentic framework for orchestration and collaboration between AI agents.
- Implement and optimize knowledge retrieval systems using vector databases.
- Write efficient and testable Python code for production services and internal tools.
- Build and maintain shared Python libraries and SDKs for multiple applications.
- Collaborate on architecture, internal protocols, and API standards.
- Enhance monitoring and observability for production-grade AI solutions.
- Drive the full software development lifecycle from design to continuous improvement.
- Identify and resolve performance bottlenecks and scaling challenges.
- Participate in code reviews and mentor other engineers.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience as a Software Engineer with strong proficiency in Python.
- Proven track record of building and maintaining production-grade systems using Python.
- Strong understanding of distributed systems, API design, and data-driven architectures.
- Experience with relational and non-relational databases like PostgreSQL and Elastic.
- Familiarity with AI/ML system design, including LLM integration.
- Knowledge of DevOps practices including CI/CD and monitoring.
- Experience with Python, FastAPI, LLM APIs, Kubernetes, and GitHub Actions.