Senior Developer - GenAI

Remote
Full Time
Mid Level

Job Title:

Senior Developer – Generative AI (GenAI)

Location:
Remote

Employment Type:
Full-time

US Citizens only
Preferred to have an ACTIVE IRS MBI Clearance


Job 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 using AWS services and modern AI frameworks.

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, leveraging AWS services for deployment and scalability.

  • Develop and implement RAG (Retrieval-Augmented Generation) architectures for knowledge-based applications.

  • Build, train, and deploy ML and GenAI models using Amazon SageMaker and AWS Bedrock.

  • Write clean, maintainable code in Python and other relevant programming languages.

  • Ensure responsible AI practices, including bias mitigation, explainability, and safety guardrails.

  • Stay current with evolving GenAI technologies, AWS AI/ML offerings, and industry 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 hands-on experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock).

  • Experience with LangChain, LlamaIndex, or similar GenAI frameworks.

  • Practical experience using AWS services, especially Amazon SageMaker for model training/deployment and AWS Bedrock for GenAI integration.

  • Strong understanding of transformer architecturesvector databases, and cloud platforms (AWS, Azure).

  • Proven experience designing and implementing RAG architectures and integrating AI models into enterprise systems.

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