Overview
Remote
Depends on Experience
Contract - W2
Skills
API
Amazon Web Services
Dash Python
Python
Machine Learning (ML)
Artificial Intelligence
Job Details
3+ years of experience preferred.
Required Skills & Experience
- Proven experience in coordinating, planning, and prioritizing tasks for medium-to-large engineering teams.
- Strong knowledge of GenAI architectures, RAG pipelines, vector databases, and prompt engineering.
- Proficiency in Python, JavaScript, and TypeScript.
- Familiarity with FAISS, Pinecone, Milvus, and retrieval optimization.
- Understanding of cloud-based LLM providers like OpenAI, Anthropic, Google Vertex AI, and AWS Bedrock.
- Experience in API design and integration architecture for AI/ML systems
- Experience in building ETL workflows and data cleaning pipelines for production.
- Practical experience with MongoDB, including querying and optimization.
- Experience designing reporting and dashboard solutions with Plotly, Dash, PowerBI, or custom tools.
- Skilled with Git, Docker, and CI/CD pipelines (GitHub Actions preferred).
- Strong debugging and performance optimization skills.
- Ability to drive high-quality initiatives to completion in fast-paced environments.
Preferred Qualifications
- Experience leading production-level GenAI or RAG deployments.
- Experience building scalable data visualization frameworks and dashboards.
- Proficiency with cloud platforms (Azure, AWS, or Google Cloud Platform) for data and AI.
- Background in defining and implementing AI system metrics and KPIs
- Experience in vendor evaluation and management for AI services
- Strong ability to collaborate and mentor across engineering, product, and data science teams.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.