Summary
✨ AI‑Generated
A junior AI engineering role focused on building intelligent applications, data workflows, and integrations. Requires programming skills and familiarity with modern AI development concepts.
Highlights
Opportunity to work on applied AI solutions combining software engineering, data processing, and modern generative AI technologies.
Description
Role: Junior FDE -Forward Deployed Engineer/AI
Multiple Locations: Milford, OH / Edison, NJ / Santa Clara, CA
Note: A coding assessment is mandatory for this position.
Candidates must successfully complete the coding test as part of the interview process.
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 GCP) 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 problemsTroubleshoot application, integration, and production issues through systematic debugging and root cause analysis.Work with Cloud, Containerization, and CI/CD technologies to support production deployments.
