Why This Role Stands Out
This hybrid Junior AI Engineer role at Stanley David and Associates offers significant career growth and the chance to develop cutting-edge AI skills with a reputable company. If you have strong Python programming experience and a passion for innovation, this opportunity is perfect for you to make a real impact. Apply today to join a dynamic team and advance your tech career!
Quick Overview
Job Description
Role :: Forward Deployed Engineer / Junior Forward Deployed Engineer
Location :: Milford, OH / Edison, NJ / Santa Clara, CA
Type :: Fulltime
Number of position available - 15 positions
Job Description
Must Have Technical/Functional Skills
· Must have hands-on programming experience in Python with strong coding and debugging skills.
· Must have experience in SQL, data processing, and relational database concepts.
· Must have experience in developing and consuming REST APIs and enterprise integrations.
· Must have strong understanding of Data Structures, Algorithms, and Problem-solving techniques.
· Must have experience with Git, version control, and CI/C D practices.
· Must have working knowledge of Cloud Platforms (AWS, Azure, or Google Cloud Platform) and containerization (Docker/Kubernetes).
· Must have 1 year experience building or supporting AI/GenAI applications using LLMs, Prompt Engineering, and RAG concepts.
· Must have minimum 1 year experience in application troubleshooting, testing, deployment, and production Support.
Roles & Responsibilities
· Understand customer business challenges and translate them into scalable technical solutions.
· Design, develop, test, and deploy applications, APIs, and integrations using modern engineering practices.
· Build Proof of Concepts (PoCs) and rapidly prototype solutions to validate business and technical requirements.
· Continuously evaluate and apply emerging technologies, including AI/GenAI capabilities, to solve enterprise problems
· Troubleshoot application, integration, and production issues through systematic debugging and root cause analysis.
· Work with Cloud, Containerization, and CI/CD technologies to support production deployments.
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