Overview
Remote
$50 - $60
Contract - W2
Contract - Independent
Skills
Amazon Web Services
React.js
Python
Terraform
SaaS
Vector Databases
Generative Artificial Intelligence (AI)
Kubernetes
java
typescript
react
genai
llm
Job Details
Job Description:
- We are looking for a Contract Full Stack Software Engineer to support the development, integration, and operations of GenAI-enabled applications.
- This role focuses on hands-on engineering, SaaS integration, and technical problem-solving alongside internal technical teams.
Key Responsibilities
- Provide Level 3 technical support for AI and SaaS-based tools, ensuring stability and timely issue resolution.
- Configure, integrate, and maintain SaaS platforms particularly those with AI-driven capabilities.
- Implement enhancements that improve tool reliability, performance, and internal productivity.
- Support deployments, integrations, and operational workflows for AI solutions across the organization.
- Contribute to evaluation, testing, and rollout of new technologies (POCs, automation, integrations).
- Develop automation to eliminate manual processes and reduce errors.
- Apply industry best practices and emerging technologies to continuously improve system performance.
Technical Skills
- Strong experience across full-stack development (front end + back end).
- Frontend: React, TypeScript
- Backend: Python or Java
- Experience deploying applications in AWS (EKS, serverless components, queues, VPC, databases).
- Proficiency with Terraform and Kubernetes for infrastructure and container orchestration.
- Experience building multi-tenant and multi-user systems, including event-driven architectures.
- Solid understanding of API design, OOP, design patterns, and automated testing (unit, load, integration).
- Strong Git workflow experience.
Preferred Experience
- Exposure to GenAI/LLM application development.
- Experience with embeddings/vector databases (pgvector, Chroma).
- Knowledge of LLM RAG/agent architectures.
- Familiarity with Helm, Neo4j, GraphQL, Jenkins, and additional AWS managed services.
- Experience with FastAPI, Next.js, and real-time communication (WebSockets, SSE, Pub/Sub tools).
- Success Characteristics
- Strong problem-solving abilities with a focus on reliability and scalable design.
- Ability to work independently in a fast-paced environment.
- Clear communication and collaboration with technical and functional teams.
- Adaptability to changing requirements and new technologies.
- Working Model
- This contractor will work closely with engineering, security, identity, and enterprise architecture teams to ensure smooth deployment and alignment of GenAI solutions across the organization.
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.