Company Name: CG Infinity

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/fgcotzi126azx5c7

Job Description: Posted 1mo agoSenior Developer - GenAI@ CG InfinityView All JobsWebsiteUnited StatesRemoteFull TimeResponsibilities:designing GenAI, integrating APIs, writing codeRequirements Summary:5+ years in AI/ML and GenAI; proficient in Python; experience with LangChain, LlamaIndex; knowledge of LLM APIs (OpenAI, Anthropic, AWS Bedrock); transformer architectures; RAG; cloud platforms.Technical Tools Mentioned:Python, LangChain, LlamaIndex, OpenAI API, Anthropic API, AWS Bedrock, APIs, LLMs, vector databases, transformers, AWS, Azure, RAG, prompt engineering
Job Title:Senior Developer – Generative AI (GenAI)Location:RemoteEmployment Type:Full-timeUS Citizens onlyPreferred to have an ACTIVE IRS MBI ClearanceJob Summary:We are seeking a Senior Developer with 5+ years of experience in AI/ML and Generative AI to design, develop, and implement advanced GenAI solutions using large language models (LLMs) and related technologies. This role focuses on building scalable AI-powered applications and integrating them into enterprise systems.Responsibilities:Design, develop, and optimize GenAI applications using frameworks such as LangChain, LlamaIndex, or similar tools.Implement prompt engineering strategies and fine-tune LLMs for specific business use cases.Integrate LLMs with existing systems through APIs and microservices.Develop RAG (Retrieval-Augmented Generation) architectures for knowledge-based applications.Write clean, maintainable code in Python and other relevant languages.Ensure responsible AI practices, including bias mitigation and safety guardrails.Stay current with evolving GenAI technologies, frameworks, and best practices.Required Qualifications:5+ years of experience in software development with a strong focus on AI/ML and GenAI solutions.Proficiency in Python and experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock).Hands-on experience with LangChain, LlamaIndex, or similar GenAI frameworks.Understanding of transformer architectures, vector databases, and cloud platforms (AWS, Azure).Experience implementing RAG architectures and integrating AI models into enterprise systems.