Senior Generative AI Engineer
Job Location:
Monthly Salary:
Posted on:
5 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Title: Senior Generative AI Engineer
Location: Plano TX Oklahoma City OK Albuquerque NM Little Rock AR Kansas City KS.
Duration12 Months
W2 Only (No C2C)
Location: Plano TX Oklahoma City OK Albuquerque NM Little Rock AR Kansas City KS.
Duration12 Months
W2 Only (No C2C)
Job Summary:
We are seeking a highly skilled Senior Generative AI Engineer with 10 years of software engineering experience and 3 years of hands-on Generative AI and Large Language Model (LLM) expertise. The ideal candidate will be responsible for designing developing and deploying enterprise-scale AI-powered applications intelligent automation platforms AI agents and Retrieval-Augmented Generation (RAG) solutions. This role requires deep expertise in LLM frameworks cloud platforms vector databases and MLOps best practices to build next-generation AI solutions.
We are seeking a highly skilled Senior Generative AI Engineer with 10 years of software engineering experience and 3 years of hands-on Generative AI and Large Language Model (LLM) expertise. The ideal candidate will be responsible for designing developing and deploying enterprise-scale AI-powered applications intelligent automation platforms AI agents and Retrieval-Augmented Generation (RAG) solutions. This role requires deep expertise in LLM frameworks cloud platforms vector databases and MLOps best practices to build next-generation AI solutions.
Key Responsibilities:
Design develop and deploy enterprise-grade Generative AI applications.
Build optimize and maintain Retrieval-Augmented Generation (RAG) pipelines.
Develop AI agents and workflow automation systems.
Integrate Large Language Models (LLMs) with enterprise applications and APIs.
Evaluate model performance and continuously improve response quality and accuracy.
Collaborate with product engineering and data teams to deliver AI-driven solutions.
Implement AI governance security compliance and responsible AI standards.
Monitor troubleshoot and optimize AI applications in production environments.
Develop scalable microservices-based AI architectures.
Stay current with emerging AI technologies frameworks and industry best practices.
Design develop and deploy enterprise-grade Generative AI applications.
Build optimize and maintain Retrieval-Augmented Generation (RAG) pipelines.
Develop AI agents and workflow automation systems.
Integrate Large Language Models (LLMs) with enterprise applications and APIs.
Evaluate model performance and continuously improve response quality and accuracy.
Collaborate with product engineering and data teams to deliver AI-driven solutions.
Implement AI governance security compliance and responsible AI standards.
Monitor troubleshoot and optimize AI applications in production environments.
Develop scalable microservices-based AI architectures.
Stay current with emerging AI technologies frameworks and industry best practices.
Required Skills:
10 years of Software Engineering experience
3 years of hands-on Generative AI / LLM experience
Strong proficiency in Python
Experience with OpenAI Anthropic Claude Gemini or similar LLM platforms
Expertise in LangChain LangGraph LlamaIndex or AI orchestration frameworks
Strong experience building Retrieval-Augmented Generation (RAG) solutions
Experience with vector databases including:
Expertise in Prompt Engineering and LLM Evaluation Techniques
Experience with REST APIs and Microservices Architecture
Cloud platform experience with:
Strong knowledge of SQL and NoSQL Databases
Experience with:
Familiarity with Machine Learning and MLOps Best Practices
10 years of Software Engineering experience
3 years of hands-on Generative AI / LLM experience
Strong proficiency in Python
Experience with OpenAI Anthropic Claude Gemini or similar LLM platforms
Expertise in LangChain LangGraph LlamaIndex or AI orchestration frameworks
Strong experience building Retrieval-Augmented Generation (RAG) solutions
Experience with vector databases including:
Expertise in Prompt Engineering and LLM Evaluation Techniques
Experience with REST APIs and Microservices Architecture
Cloud platform experience with:
Strong knowledge of SQL and NoSQL Databases
Experience with:
Familiarity with Machine Learning and MLOps Best Practices
Preferred Qualifications:
Experience fine-tuning open-source LLMs such as:
Experience with AI Agents and Multi-Agent Systems
Knowledge of AI Governance AI Security and Responsible AI Practices
Experience with Azure OpenAI Service or AWS Bedrock
Exposure to Data Engineering and enterprise-scale AI deployments
Masters Degree in Computer Science Artificial Intelligence Data Science or a related field
Soft Skills:
Strong analytical and problem-solving abilities
Excellent communication and stakeholder management skills
Ability to work independently in a remote environment
Strong collaboration and teamwork skills
Detail-oriented with a focus on quality and scalability
Ability to adapt quickly to evolving technologies and business needs
Best Regards
Teresa Rose
