Gen AI Engineer
| Company | Guidehouse |
|---|---|
| Location | Remote in USA, McLean, VA, USA |
| Salary | $85000 – $141000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Mid Level |
Requirements
- Bachelor’s degree is required
- Minimum TWO (2) years of experience in building production-grade AI/ML systems and data products using best practices in software engineering or Minimum zero to one (0- 1) year of experience with Masters in building production-grade AI/ML systems and data products using best practices in software engineering.
- Ability to analyze large and complex data sets, with strong aptitude for conducting quantitative and qualitative analysis focused on financial services use cases.
- Excellent programming skills in Python, TensorFlow, PyTorch, or other relevant frameworks.
- Ability to identify and address client needs, build relationships, design, and implement solutions.
Responsibilities
- Develop and deploy advanced AI/ML models, including large language models (LLMs), to solve complex problems in the financial /health/ state and local/cyber industry.
- Build production-grade AI/ML systems and data products that can be reliably deployed and scaled.
- Collaborate cross-functionally with business stakeholders, data scientists, and software engineers to understand requirements and translate them into technical solutions.
- Continuously optimize and improve AI/ML models and systems to enhance performance and business impact.
- Communicate technical concepts and model capabilities to non-technical stakeholders in a clear and compelling manner.
- Stay up to date with developments in AI/ML.
Preferred Qualifications
- Master’s degree
- Experience in building and deploying AI/ML systems at scale in a cloud environment.
- Understanding of ML/analytics product lifecycle management (MLOps, DataOps).
- Contributions to open-source AI/ML projects or publications in relevant academic/industry journals.
- Technical/product management and software experience.
- Familiarity with the Azure OpenAI service and LLM agent APIs such as LangChain.
- Familiarity with AWS bedrock and Claude.
- AWS and Azure certifications.
- Strong communication skills and the ability to work in a team.
- A proactive approach to learning and staying updated with the latest advancements in AI.
- Experience in working with cross-functional teams.