Sr Full Stack Developer With Ai

Tata Consultancy Services; Plano (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

Tata Consultancy Services Limited is seeking a senior Java/SpringBoot specialist with deep experience in microservices, RESTful APIs, and both SQL and NoSQL databases. The role emphasizes building Gen AI solutions, integrating with enterprise systems, and optimizing performance within AWS Bedrock environments.

The ideal candidate will collaborate with architects and data engineers, ensure security and governance, and contribute to scalable, production-ready AI workloads across complex enterprise

Qualifications

• 10+ years of hands-on experience in design and development using Java/SpringBoot Microservices.
• Experience in Java, J2EE, SOAP, REST, XML, XSLT, UML, OOD.
• Experience with Spring Boot, Eclipse, GIT, JENKINS, CI/CD, JIRA, JUnit testing.
• Experience and exposure in RDBMS like Oracle, SQL Server, MySQL.
• Experience and exposure in NoSQL Database like MongoDB, Document DB.
• Proficient with CSS-preprocessor e.g. SASS and CSS frameworks like Bootstrap.
• Experience with integrating RESTful services.
• Experience in developing responsive UI design to support multiple view ports.

Responsibilities

• Design and implement Gen AI applications using AWS Bedrock and related AWS services.
• Build secure, scalable, and maintainable AI workflows for enterprise use cases.
• Develop retrieval-augmented generation solutions that use enterprise knowledge sources effectively.
• Manage context windows, memory strategies, prompt composition, and grounding techniques.
• Integrate MCP-based tools and services to extend model capabilities and connect to enterprise systems.
• Collaborate with product owners, architects, data engineers, and security teams.
• Evaluate model outputs for quality, safety, relevance, and factual accuracy.
• Optimize latency, cost, and token usage across AI workloads.
• Create reusable prompts, agent patterns, and orchestration components.
• Support deployment, monitoring, logging, and continuous improvement of Gen AI systems.

Skills

Java

Spring Boot

REST APIs

SOAP

XML

J2EE

MongoDB

Oracle

SQL Server

MySQL

Kafka

MuleSoft

AWS Bedrock

Prompt engineering

GIT

Jenkins

CI/CD

JIRA

GitHub

Tools

JIRA

GitHub

Jenkins

Job description

• 10+ years of hands-on experience in design and development using Java/SpringBoot Microservices
• Experience in Java, J2EE, SOAP, REST, XML, XSLT, UML, Object Oriented Analysis and Design
• Experience in Spring Boot, Eclipse, GIT, JENKINS, CI/CD, JIRA, JUnit testing
• Experience and exposure in RDBMS like Oracle, SQL Server, MySQL
• Experience and exposure in NoSQL Database like MongoDB, Document DB
• Proficient with CSS-preprocessor e.g. SASS and hands on Experience in CSS frameworks e.g. Bootstrap
• Experience with integrating RESTful services
• Experience in developing responsive UI design to support multiple view port
• Thorough understanding of the responsibilities of the platform, database, API, caching layer, proxies
• Experience working with testing frameworks Jasmine, Karma etc.
• Experience in building scalable application
• Experience in performance tuning of UI application
• Experience in Search Engine Optimization and writing Search Engine Optimized code
• Coordinating with UX designer
• Experience in JIRA and GITHUB.
• Experience in Apache Kafka framework and implementation
• Experience in MuleSoft integration and API platform
• Design and implement Gen AI applications using AWS Bedrock and related AWS services.
• Build secure, scalable, and maintainable AI workflows for enterprise use cases.
• Develop retrieval-augmented generation solutions that use enterprise knowledge sources effectively.
• Manage context windows, memory strategies, prompt composition, and grounding techniques.
• Integrate MCP-based tools and services to extend model capabilities and connect to enterprise systems.
• Collaborate with product owners, architects, data engineers, and security teams.
• Evaluate model outputs for quality, safety, relevance, and factual accuracy.
• Optimize latency, cost, and token usage across AI workloads.
• Create reusable prompts, agent patterns, and orchestration components.
• Support deployment, monitoring, logging, and continuous improvement of Gen AI systems.
• Strong experience with Python or Java.
• Hands-on experience with AWS Bedrock.
• Understanding of foundation models, embeddings, RAG, and vector search.
• Experience with prompt engineering and context management.
• Familiarity with MCP concepts and tool integration patterns.
• Experience with APIs, microservices, and cloud-native architecture.
• Knowledge of enterprise security, privacy, and governance requirements.
• Ability to evaluate model performance and improve response quality.
• Good communication and stakeholder collaboration skills.

Salary Range: $120,000 to $150,000 per year