What are the responsibilities and job description for the Generative AI Engineer position at SIDRAM TECHNOLOGIES?
Role: Generative AI Engineer
USC or GC ONLY
EST Hours
100% REMOTE
Must Haves
Key Responsibilities
Design and develop Generative AI applications and features using modern LLM APIs and open-source models
5 years of software development experience with strong proficiency in Python and JavaScript
USC or GC ONLY
EST Hours
100% REMOTE
Must Haves
- Senior Full Stack Developer background - NO DATA SCIENCE BACKGROUNDS
- 2 Years of Generative AI Recent exp
- 5 YOE in Python and Javascript
- Wok with LLM APIs (GRP -3, Claude, etc)
- Need Cline Cursor background which hasnt been around long
- RAG Architecture - incorporating graph databases
Key Responsibilities
Design and develop Generative AI applications and features using modern LLM APIs and open-source models
- Create and optimize multi-agent systems using frameworks like LangChain and advanced RAG architectures
- Build robust systems that combine traditional software engineering with Generative AI capabilities
- Implement and maintain AI pipelines using vector databases and retrieval systems
- Develop evaluation frameworks to assess Generative AI application performance and reliability
- Collaborate with product teams to identify and implement AI-driven solutions
5 years of software development experience with strong proficiency in Python and JavaScript
- Experience with modern Generative AI development frameworks and tools (LangChain, Vector DBs)
- Demonstrated ability to work with LLM APIs (GPT-4, Claude, etc.)
- Familiarity the use of agentic software development tools like Cline and Cursor
- Strong understanding of prompt engineering and LLM capabilities
- A commitment to automated testing and software development best practices
- Strong problem solving and project management skills and ability to work with ambiguous requirements
- Excellent communication skills to explain AI capabilities and limitations to stakeholders
- Experience with complex RAG architectures incorporating graph databases
- Familiarity with agent orchestration frameworks like LangGraph or CrewAI
- Experience with LLM evaluation and monitoring tools like LangSmith
- Knowledge of advanced retrieval techniques beyond semantic search