W2 ONLY
Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants.
No C/C
No Corp-to-Corp employers
100% remote
Lead AI Engineer
Location: Remote
Duration: Contract
Work Authorization: USC or GC only
Interview Process: Background check required
Important: Candidates must be able to travel to one of the client’s offices on Day 1 for onboarding verification: Denver, CO; New York, NY; Atlanta, GA; Plymouth Meeting, PA; Overland Park, KS; or St. Petersburg, FL.
We are seeking an experienced Lead AI Engineer to help turn AI initiatives into secure, production-ready, enterprise-scale solutions. This role will focus heavily on Agentic AI systems and will partner closely with AI, engineering, and product teams.
The ideal candidate brings a strong blend of hands-on engineering expertise, architecture knowledge, and leadership ability. This person will help bridge business needs, technical standards, and implementation to ensure AI solutions are scalable, reproducible, secure, and aligned with long-term enterprise strategy.
Key Responsibilities
Design, build, and deploy full-stack applications using Python and React
Architect secure, scalable systems with strong focus on security, compliance, and best practices
Lead internal AI initiatives, including support of existing AI-enabled products and delivery of new AI-driven solutions
Provide guidance to teams on how to leverage AI effectively across the organization
Build and integrate agentic AI systems using modern LLM and GenAI technologies
Collaborate with cross-functional teams to scope, prototype, and deliver AI solutions quickly
Serve as a technical partner to business teams to identify AI opportunities that improve efficiency, reduce risk, and enhance customer experience
Integrate GenAI models into full-stack applications and internal workflows
Contribute to prompt engineering, fine-tuning, and evaluation of model outputs
Build reusable services for multi-agent orchestration and task automation
Optimize AI inference pipelines for scalability, latency, and cost efficiency
Participate in architectural discussions and contribute to the technical roadmap
Required Qualifications
7+ years of full-stack development experience with technologies such as Python, JavaScript, Node.js, and React
Strong experience with LLM frameworks such as LangChain and Bedrock xsgimln
Experience with AI-enabled workflows and data processing in Python
Strong knowledge of LLMs, prompt engineering, RAG architecture, and Agentic AI
Deep understanding of embeddings, vector databases, and retrieval pipelines
Experience with Git, CI/CD, DevOps, and production-grade GenAI deployment practices
Hands-on experience with Docker, Kubernetes, and cloud-native deployment
Knowledge of AI observability, model monitoring, and cost optimization
Strong communication skills with ability to work across technical and non-technical teams
Experience working with distributed engineering teams
Preferred Qualifications
Experience in financial services or other highly regulated environments
Familiarity with core banking systems or similarly complex enterprise platforms