Senior GenAI Engineer

Job Title: Senior GenAI Engineer
Location: Boston, MA
Duration: 6-month
Position Type: Contract to Hire
Work Type: Hybrid
Pay Range: $130 - $150/Hr
Role Summary:

• Seeking an experienced GenAI Engineer to integrate LLM APIs, build AI-driven applications, optimize model performance, and deploy AI services at scale.
• The ideal candidate has expertise in Python-based AI development, LLM orchestration, cloud deployment, and enterprise AI integration.

Job Responsibilities:

• Solution Design & Development: Design, develop, and maintain AI-powered applications that integrate existing LLMs with internal systems to automate workflows and optimize processes.
• API Integration: Develop APIs and data pipelines to seamlessly connect LLMs with internal and external systems, ensuring secure and scalable data exchange.
• LLM Optimization: Optimize LLM API interactions using prompt engineering, retrieval-augmented generation (RAG), context management, and performance tuning.
• Platform Evaluation: Assess and compare LLM platforms and tools (e.g., OpenAI, Anthropic, Google) to select the best fit for business needs and technical scalability.
• Collaboration & Requirements Gathering: Partner with product managers, engineers, and stakeholders to define AI-driven solutions that align with business objectives.
• Testing & Monitoring: Implement robust testing and monitoring strategies to ensure performance, reliability, and security of LLM-powered applications.
• Best Practices & Documentation: Contribute to organizational AI best practices, including guidelines on LLM utilization and maintaining well-documented AI solutions.
• Troubleshooting & Issue Resolution: Identify and resolve LLM integration issues, performance bottlenecks, and data pipeline inconsistencies.
• Continuous Learning: Research and apply emerging LLM advancements, best practices, and industry trends to enhance AI-powered applications.
• Code Review & Quality Assurance: Participate in code reviews, ensuring high-quality, maintainable, and well-documented codebases.

Qualification:

• Bachelor's degree in Computer Science, Engineering, or related field.
• Proven experience in software development, with strong object-oriented programming and design principles.
• Experience working with LLMs and related AI frameworks (e.g., LangChain, Vector Databases, RAG).
• Experience with API development and integration (RESTful APIs, GraphQL, cloud-based services).
• Experience deploying AI solutions in cloud environments (AWS, Azure, GCP, Kubernetes, Serverless).
• Strong problem-solving and analytical skills.
• Excellent communication and cross-functional collaboration skills.
• Passion for AI innovation and automation.
  

Job Title: Senior GenAI Engineer
Location: Boston, MA
Duration: 6-month
Position Type: Contract to Hire
Work Type: Hybrid
Pay Range: $130 - $150/Hr
Role Summary:

• Seeking an experienced GenAI Engineer to integrate LLM APIs, build AI-driven applications, optimize model performance, and deploy AI services at scale.
• The ideal candidate has expertise in Python-based AI development, LLM orchestration, cloud deployment, and enterprise AI integration.

Job Responsibilities:

• Solution Design & Development: Design, develop, and maintain AI-powered applications that integrate existing LLMs with internal systems to automate workflows and optimize processes.
• API Integration: Develop APIs and data pipelines to seamlessly connect LLMs with internal and external systems, ensuring secure and scalable data exchange.
• LLM Optimization: Optimize LLM API interactions using prompt engineering, retrieval-augmented generation (RAG), context management, and performance tuning.
• Platform Evaluation: Assess and compare LLM platforms and tools (e.g., OpenAI, Anthropic, Google) to select the best fit for business needs and technical scalability.
• Collaboration & Requirements Gathering: Partner with product managers, engineers, and stakeholders to define AI-driven solutions that align with business objectives.
• Testing & Monitoring: Implement robust testing and monitoring strategies to ensure performance, reliability, and security of LLM-powered applications.
• Best Practices & Documentation: Contribute to organizational AI best practices, including guidelines on LLM utilization and maintaining well-documented AI solutions.
• Troubleshooting & Issue Resolution: Identify and resolve LLM integration issues, performance bottlenecks, and data pipeline inconsistencies.
• Continuous Learning: Research and apply emerging LLM advancements, best practices, and industry trends to enhance AI-powered applications.
• Code Review & Quality Assurance: Participate in code reviews, ensuring high-quality, maintainable, and well-documented codebases.

Qualification:

• Bachelor's degree in Computer Science, Engineering, or related field.
• Proven experience in software development, with strong object-oriented programming and design principles.
• Experience working with LLMs and related AI frameworks (e.g., LangChain, Vector Databases, RAG).
• Proficiency in at least one programming language (e.g., Python, Java, JavaScript).
• Experience with API development and integration (RESTful APIs, GraphQL, cloud-based services).
• Experience deploying AI solutions in cloud environments (AWS, Azure, GCP, Kubernetes, Serverless).
• Strong problem-solving and analytical skills.
• Excellent communication and cross-functional collaboration skills.
• Passion for AI innovation and automation.
  

• GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. As a Native American-owned, economically disadvantaged corporation, we highly value diverse and inclusive workplaces. Our clients are Fortune 500 banking, insurance, financial services, and technology companies, along with some of the nation’s largest life sciences, biotech, utility, and retail companies across the US and Canada. We look forward to helping you land your next great career opportunity!

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Other

Job function

• Job function

  Engineering and Information Technology

• Industries

  Staffing and Recruiting

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