Technical Specialist-App Development

Birlasoft Inc
Kettering, United States of America
10 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Kettering, United States of America

Tech stack

Clean Code Principles
Java
Spring Security
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Databases
Data Systems
Cursor (Graphical User Interface Elements)
Database Queries
Elasticsearch
PostgreSQL
Machine Learning
Message Broker
NoSQL
Performance Tuning
RabbitMQ
Software Engineering
SQL Databases
Systems Integration
Data Storage Management
Cloud Platform System
Spring Cloud
GitHub Copilot
Large Language Models
Spring-boot
Generative AI
Backend
AI Platforms
Information Technology
Kafka
Data Management
Virtual Agents
REST
Web Api
Microservices

Job description

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

Requirements

  • Experience: 5 to 8 years of professional experience in software engineering with a strong focus on backend development.
  • Core Languages: Deep expertise in Core Java, Java 17+, and the Spring ecosystem (Spring Boot, Spring Cloud, Spring Security).
  • AI & ML Exposure: Hands-on experience integrating AI/ML models into production applications. Familiarity with Spring AI, LangChain4j, or AI platform APIs is strongly preferred.
  • Data Management: Advanced knowledge of writing SQL queries, performance tuning, and working with NoSQL or Vector databases.
  • System Design: Solid understanding of microservices architecture, message brokers (Kafka, RabbitMQ), and cloud environments (AWS, Azure, or GCP).
  • Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field (or equivalent practical experience)

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