Junior FDE

Tata Consultancy Services; Milford (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

Tata Consultancy Services in Milford, OH is seeking a technically versatile engineer to design, build, and deploy applications, APIs, and integrations. You will prototype solutions, apply AI/GenAI capabilities, and troubleshoot production systems.

The role emphasizes hands-on development, cloud and container technologies, and experience with REST APIs and CI/CD practices. Candidates should have 1+ year in AI/GenAI contexts and strong problem-solving skills.

Qualifications

• Hands-on Python programming experience with strong coding and debugging skills.
• Experience in SQL, data processing, and relational databases.
• Experience in developing and consuming REST APIs and enterprise integrations.
• Strong understanding of data structures, algorithms, and problem solving.
• Experience with Git, version control, and CI/CD practices.
• Working knowledge of cloud platforms (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).
• At least 1 year building or supporting AI/GenAI apps using LLMs, Prompt Engineering, and RAG concepts.
• At least 1 year experience in application troubleshooting, testing, deployment, and production support.

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 PoCs and rapidly prototype solutions to validate requirements.
• Continually evaluate emerging technologies, including AI/GenAI, to solve enterprise problems.
• Troubleshoot application, integration, and production issues via systematic debugging and root-cause analysis.
• Collaborate with Cloud, Containerization, and CI/CD technologies to support deployments.

Skills

Python

SQL

REST APIs

Data Structures

Git & CI/CD

Cloud Platforms

Docker & Kubernetes

GenAI / LLMs

Production Support

Tools

Git

CI/CD

Docker

Kubernetes

AWS

Azure

GCP

Job description

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.

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.