Overview
On Site
USD 90-100
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Skills
GenAI
LLM
MCP
CrewAI
AgenticAI
LangChain
Job Details
Job Summary:
We are seeking a highly skilled and entrepreneurial Lead AI Applications Engineer to spearhead the development and deployment of cutting-edge applications built on generative AI models. This role focuses on translating state-of-the-art research into scalable, real-world products that drive measurable business impact.
Key Responsibilities:
- Lead the end-to-end development of AI-driven applications, from concept and prototyping to deployment in production environments
- Translate generative AI research into robust, user-centric product solutions
- Architect and implement solutions using AWS serverless infrastructure (Lambda, API Gateway, DynamoDB, etc.)
- Design and deploy AI Agents and Multi-Component Processing (MCP) servers at scale
- Collaborate cross-functionally with product, research, and engineering teams to bring early-stage ideas to market
- Optimize ML infrastructure and ensure high performance, scalability, and security in production systems
Required Qualifications:
- Proven experience in deploying AI/ML applications in production, especially AI Agents and MCP server architectures
- Strong command of Python and hands-on experience with cloud-native development on AWS
- Solid understanding of machine learning infrastructure, including model training, serving, and monitoring in real-world scenarios
- Demonstrated ability to own projects from zero to one - ideally with startup or early-stage product experience
- Familiarity with DevOps practices, CI/CD, and scalable microservices architecture
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.