
Python Machine Learning Engineer
2 weeks ago
As a Backend AI Engineer, you will be responsible for designing and developing robust backend systems using Python. You will work with AI Agent frameworks and agentic development patterns to build intelligent APIs powered by Generative AI.
Key Responsibilities:
- Design and develop scalable, secure, and high-performance Python-based backend systems.
- Integrate and work with AI Agent frameworks and agentic development patterns.
- Build and deploy RAG pipelines and intelligent APIs powered by Generative AI.
- Develop and consume RESTful APIs to support data exchange and service integration.
- Work with relational databases such as MySQL and PostgreSQL for structured data management.
- Collaborate with cross-functional teams to drive innovation and delivery of AI-first features.
Requirements:
- 4-8 years of experience in backend development using Python.
- Strong experience with object-oriented programming and backend software engineering.
- Experience working with AI Agent frameworks (e.g. LangChain, AutoGPT).
- Solid understanding of RESTful API design and implementation.
- Hands-on experience with relational databases (MySQL, PostgreSQL).
- Proficiency with version control tools, especially Git.
- Familiarity with Docker for containerization and environment replication.
- Experience working with microservices and distributed systems.
- Working knowledge of Vibe or similar AI coding tools.
- Demonstrated ability to creatively apply GenAI in solving real-world problems.
- Experience with Generative AI technologies (e.g. LLMs, RAG).
Benefits:
- Opportunity to work on cutting-edge AI projects.
- Chance to collaborate with cross-functional teams.
- Professional growth and development opportunities.
- Competitive compensation package.
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