Forward Deployed Engineer

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/Google Cloud Platform, 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 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.