Java Full stck Developer With AI

Full- Stack Developer

What will you do

As a Software Engineer, you will contribute to the design, development, and delivery of AI-powered services and applications within Teradata's AI platform ecosystem. You will work closely with senior engineers, AI/ML specialists, and product teams to build scalable, reliable systems leveraging modern AI technologies, including machine learning and Large Language Models (LLMs).

This role is ideal for engineers who are hands-on, eager to learn, and excited to work on production-grade AI systems in a cloud-native environment.

Key Responsibilities

• Design, develop, and maintain high-quality UI and backend services and applications that support AI-driven products and platforms.

• Implement and integrate RESTful APIs with a focus on security, scalability, and maintainability.

• Apply AI/ML technologies such as machine learning models, LLMs, embeddings, and basic agentic or RAG workflows under the guidance of senior engineers.

• Work with SQL and NoSQL data stores to design efficient data models and service access patterns.

• Collaborate with cross-functional teams (Engineering, AI/ML, Product, and Platform) to deliver end-to-end features.

• Write clean, testable code and participate in code reviews to maintain high engineering standards.

• Assist in troubleshooting, debugging, and resolving production issues.

• Learn and follow best practices for cloud-native development, reliability, and observability.

• Utilize open-source tools and technologies effectively, adapting and extending them as needed to create innovative solutions.

• Communicate effectively across teams to ensure alignment and clarity throughout the development process.

Who You Will Work With

• Collaborate with several cross-functional Agile teams that include:

• Product Owners

• Engineering teams

• Quality Engineers

• Work together to conceptualize, build, test, and ship software solutions for the next generation of enterprise applications.

• Report directly to the Manager of the Applications Team.

What Makes You a Qualified Candidate

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

• 4+ years of experience in software engineering, backend development, or data platform engineering, preferably in product-based companies.

• Proficiency in Java, Python, or Angular.

• Experience with Spring Framework or Spring Boot (preferred).

• Basic understanding of distributed systems, APIs, and backend service design.

• Experience working with relational (SQL) and/or NoSQL databases.

• Familiarity with software development best practices:

• Version control

• Testing

• Code reviews

• Excellent debugging and troubleshooting skills.

• Familiarity with RDBMS such as:

• PostgreSQL

• MySQL

• Strong verbal and written communication skills with the ability to produce both technical and non-technical documentation and runbooks.

What You Will Bring

• Exposure to AI/ML concepts, including machine learning pipelines or LLM-based systems.

• Familiarity with:

• Embeddings

• Vector databases

• Retrieval-Augmented Generation (RAG)

• Experience deploying services on cloud platforms:

• AWS

• Azure

• GCP

• Basic experience with:

• Docker

• Kubernetes

• Interest in:

• Agentic AI

• Automation

• Developer productivity tooling

• Core Technical Skills: Strong expertise in Java 18+ (highest priority), Spring Boot, and Angular 19/20 is mandatory. Python is optional.

• AI Skills Mandatory: Candidates must have hands-on experience with GitHub Copilot, Cloud Code, or similar AI-assisted coding tools. Knowledge of LangChain/AI agent frameworks is an added advantage.

• Cloud & Platform Experience: AWS exposure is preferred, along with working knowledge of Kubernetes for application deployment.

• Database Requirement: Experience with any relational database is sufficient. Teradata product experience is preferred but not mandatory.