Junior Forward Deployed Engineer

Talenzaa; Edison (NJ); On-site; USD 86,000 - 105,000; Full time

Job summary

Talenzaa is seeking a Junior Forward Deployed Engineer to support customers across Edison, Milford, and Santa Clara locations. You will implement Python-based solutions, build and consume REST APIs, and leverage cloud platforms and containerization to deliver scalable deployments.

You should have hands-on experience with AI/GenAI concepts, strong debugging skills, and the ability to translate business challenges into technical solutions.

Qualifications

• Hands-on Python programming and debugging skills.
• Experience with SQL, data processing and relational databases.
• Developing and consuming REST APIs and enterprise integrations.
• Strong understanding of data structures and algorithms.
• Git, version control and CI/CD practices.
• Cloud platforms (AWS/Azure/GCP) and containerization (Docker/Kubernetes).
• 1 year of building or supporting AI/GenAI applications using LLMs and RAG concepts.
• At least 1 year in application troubleshooting, testing, deployment and production support.
• Ability to translate customer challenges into scalable technical solutions.

Responsibilities

• Design, develop, test, and deploy applications, APIs, and integrations.
• Build PoCs and rapid prototypes to validate requirements.
• Troubleshoot production issues with root cause analysis.
• Collaborate with cloud, containerization, and CI/CD for deployments.

Skills

Python

SQL

REST APIs

Data Structures

Git

Cloud Platforms

Docker

Kubernetes

GenAI

Tools

Git

Docker

Kubernetes

CI/CD Tools

Job description

Job Title: Junior Forward Deployed Engineer

Location: Edison, NJ//MiLford, OH//Santa Clara, CA

Work Authorization: USC, GC and GC-EAD

Max Salary: $95k + Benefits

Experience: 2 years

Note: Need someone graduate in 2024 or 2025

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 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.
• 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.