Strong programming background with Python and software development practices
Experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock) and understanding of transformer architectures
Experience with vector databases and cloud platforms
Requirements:
Build and optimize AI-powered applications using frameworks like LangChain, LlamaIndex, and related tools, including integration of LLMs with existing systems via APIs and microservices
Develop prompt engineering strategies and fine-tune models for specific use cases, and implement retrieval-augmented generation (RAG) architectures for knowledge-based applications
Write clean, maintainable Python code and ensure responsible AI practices including bias mitigation and safety guardrails
Stay current with GenAI technologies and best practices, translating evolving capabilities into practical solutions
Job description
This is a remote position.
Job Title: Senior Developer for GenAI
Location: Remote
Duration: Full-Time
Clearance: IRS MBI Required
A Senior Developer for GenAI designs, develops, and implements generative AI solutions using large language models (LLMs) and related technologies. Key responsibilities include:
• Building and optimizing AI-powered applications using frameworks like LangChain, LlamaIndex, or similar tools
• Developing prompt engineering strategies and fine-tuning models for specific use cases
• Integrating LLMs with existing systems through APIs and microservices
• Implementing RAG (Retrieval-Augmented Generation) architectures for knowledge-based applications
• Writing clean, maintainable code in Python and other relevant languages
• Ensuring responsible AI practices including bias mitigation and safety guardrails
• Staying current with rapidly evolving GenAI technologies and best practices
Required skills: Strong programming background, experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock), understanding of transformer architectures, vector databases, and cloud platforms.