Forward Deployed Engineer

Role: “Forward Deployed Engineer”

Location: Milford, OH / Edison, NJ / Santa Clara, CA (Onsite)

Position: Fulltime

Job Description:

Exp. Required: 1+ Year’s

Candidates who graduated in 2024, 2025, or 2026 are eligible, provided they have already graduated. Candidates who are still pursuing their degree are not eligible.

Candidates will attend a technical test in Hacker Rank.

Skills: Python, SQL, REST APIs, Data Structures & Algorithms, AWS/AZURE/GCP, Docker, Kubernetes, CI/CD, Generative AI/LLM,

RAG (Retrieval-Augmented Generation)

Must Have Technical/Functional Skills

Strong Python skills with solid hands-on coding experience

· 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 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.