Jensen Hughes is seeking to develop cutting-edge generative AI solutions to enhance its engineering workflows and provide innovative solutions across various disciplines like fire protection, forensics, security, and risk assessment.
Requirements
- Strong programming background with proficiency in Python and experience with ML frameworks and generative AI tools
- Experience with generative AI models, large language models (LLMs), or AI content generation systems
- Experience with additional programming languages such as Python, JavaScript/React, or similar
- Strong familiarity with AWS Bedrock and Azure Copilot Studio for generative AI model deployment and development
- Experience with prompt engineering, fine-tuning LLMs, or building RAG systems
- Knowledge of OpenAI APIs, Anthropic Claude, or other generative AI platforms
- Experience with software engineering best practices (version control, testing, CI/CD)
Responsibilities
- Develop, fine-tune, and deploy generative AI models for various engineering applications
- Build AI-powered content generation systems for technical documentation and reports
- Create conversational AI interfaces that democratize access to engineering expertise
- Implement prompt engineering and retrieval-augmented generation (RAG) systems
- Collaborate with engineering consultants to understand requirements and translate them into AI solutions
- Build and maintain generative AI pipelines, APIs, and integration systems
- Implement best practices for generative AI model versioning, testing, and deployment
Other
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field
- 3-5 years of professional software development or ML engineering experience
- Excellent communication skills and enthusiasm for learning from technical experts
- Strong analytical and problem-solving abilities
- General engineering mindset with interest in understanding how systems work
- U.S. citizenship required to comply with 10 CFR Part 810 export control regulations
