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Birlasoft

Technical Specialist – App Development

Birlasoft

Senior Java Backend Engineer designing, building, and scaling enterprise applications integrating AI. Leading AI integration and ensuring high performance, scalability, and reliability in backend development.

Posted 7/7/2026full-timeRemote • Ohio • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and optimizing Spring Boot microservices and RESTful APIs, with a strong focus on integrating AI/ML models and managing data solutions across relational and vector databases. Proven ability to collaborate with cross-functional teams and mentor junior developers while enforcing clean code standards.

Highest-signal resume keywords
Core JavaSpring BootAI/ML IntegrationSQL Performance TuningMicroservices Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Java 17+Spring CloudSpring SecuritySQL QueriesNoSQL DatabasesVector DatabasesMicroservices DevelopmentPerformance TuningAI FrameworksRESTful API Development
Soft Skills
CollaborationMentoringClean Code Standards
Tools & Technologies
Spring AILangChain4jPostgreSQLPineconeElasticsearchKafkaRabbitMQAWSAzureGCP
Industry Keywords
High-Throughput SystemsRetrieval-Augmented GenerationAgentic AI PatternsCross-Functional TeamsEnterprise Systems

Tech Stack

Tools & technologies
AWSAzureCloudElasticSearchGoogle Cloud PlatformJavaKafkaMicroservicesNoSQLPostgresRabbitMQSpringSpring BootSpringBootSQL

About the role

Key responsibilities & impact
  • Design, develop, and optimize high-throughput Spring Boot microservices and RESTful APIs ensuring high performance, scalability, and reliability.
  • Integrate Large Language Models (LLMs) and ML models into existing enterprise systems using Java-native AI frameworks (e.g., Spring AI, LangChain4j).
  • Implement Retrieval-Augmented Generation (RAG) and Agentic AI patterns, autonomously connecting AI systems with internal enterprise data and external APIs.
  • Architect and manage optimal data solutions across relational (SQL) databases and vector databases (e.g., PostgreSQL, Pinecone, Elasticsearch) to support AI memory and context.
  • Participate in architectural decisions, collaborate with cross-functional teams, mentor junior developers, and enforce clean code standards.
  • Utilize modern AI coding assistants (e.g., GitHub Copilot, Cursor) to enhance coding efficiency, testing, and documentation.

Requirements

What you’ll need
  • 5 to 8 years of professional experience in software engineering with a strong focus on backend development.
  • Deep expertise in Core Java, Java 17+, and the Spring ecosystem (Spring Boot, Spring Cloud, Spring Security).
  • Hands-on experience integrating AI/ML models into production applications.
  • Familiarity with Spring AI, LangChain4j, or AI platform APIs is strongly preferred.
  • Advanced knowledge of writing SQL queries, performance tuning, and working with NoSQL or Vector databases.
  • Solid understanding of microservices architecture, message brokers (Kafka, RabbitMQ), and cloud environments (AWS, Azure, or GCP).

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities