Software Engineer
ENTEGEE, Inc.
Cedar Rapids, United States of America
6 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Intermediate Compensation
$ 156KJob location
Cedar Rapids, United States of America
Tech stack
API
Artificial Intelligence
Cloud Computing
Distributed Systems
Python
Machine Learning
Software Systems
Large Language Models
Generative AI
Build Management
GPT
Data Pipelines
Job description
- Design, develop, and execute experiments and solutions in Generative AI to accelerate business capabilities
- Build and deploy AI/ML-powered applications, including those leveraging Large Language Models (LLMs)
- Develop and maintain full stack applications supporting AI-driven workflows
- Collaborate across teams to deliver scalable, high-quality software solutions
- Provide technical guidance, mentoring, and support across multiple initiatives
- Communicate effectively with technical and non-technical stakeholders
- Continuously evaluate and integrate emerging AI/ML technologies
Requirements
We are seeking a highly motivated Full Stack Engineer with AI/ML expertise to help drive innovation in Generative AI applications within a safety-critical environment. This role will focus on designing, developing, and deploying advanced AI-driven solutions that enhance business capabilities and solve complex technical challenges.
The ideal candidate is passionate about emerging technologies, thrives in collaborative environments, and is driven to experiment, iterate, and deliver impactful solutions., * U.S. Citizenship or Green Card required
- 3+ years of Python development experience
- 2+ years of experience in AI/ML, including Generative AI
- Strong proficiency in Unix/Linux environments
- Experience with full stack development
- Proven experience building and deploying complex software systems
- Understanding of AI/ML fundamentals through hands-on experience or research
- Experience developing or deploying Generative AI applications
Preferred Qualifications
- Experience with LLM frameworks such as LangChain, Haystack, or similar
- Background working in highly regulated or safety-critical environments
- Familiarity with cloud platforms and scalable architectures
- Experience with data pipelines, APIs, and distributed systems