Position: AI Engineer
Location: San Francisco, CA
Duration: Long Term Contract
Mandatory: AI, Django, React
15+ years experience required with an Independent Visa.
What You’ll Do
- Provide support from sales through delivery, understanding our clients' business challenges, and suggesting robust AI/ML solutions.
- Apply Machine Learning, Deep Learning, and other relevant technologies to assist in building AI tools that solve real business problems.
- Assist in the design, development, presentation, and delivery of traditional ML solutions in areas such as Computer Vision, NLP, Recommendation Systems, etc.
- Stay updated on fundamental AI/ML concepts and emerging trends to contribute to solution discussions and development.
- Support the team in creating pricing strategies, go-to-market plans, and identifying potential partnerships to promote AI/ML adoption.
- Contribute to the growth of the AI/ML community within the organization through learning, mentoring, and sharing knowledge.
What You’ll Bring
- Strong consultative and communication skills, and the ability to convey complex technical concepts to diverse stakeholders.
- Solid technical foundation, combined with constant curiosity to stay on the creative edge of ML/AI solutions.
- Technical and conversational fluency in AI, GenAI, Machine Learning and at least one of the major clouds (AWS, GCP, Azure)
- Hands-on experience with RAG, agentic workflows, fine tuning, or other LLM-based techniques.
- Experience putting ML/AI into production, and ability to talk through best practices and pitfalls.
- Understanding of validation frameworks for AI and ML tools, with knowledge of the production-ready offerings on the market for AI validation.
- Excellent python, especially for ML/AI use cases.
- Software engineering and/or application development background, especially in one of the major clouds.
- Nice to have:
- Experience in a sales support role, within Data Science, Machine Learning, or AI.
- Experience implementing MLOps best practices and ML workflow tools, and the ability to translate this experience to creative LLMOps solutions.