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FDE with LLM

CA-One Tech Cloud Inc.Dallas, TX🇺🇸United StatesPosted 7 Sept 2026

Why This Role Stands Out

This role offers an exciting opportunity to pioneer AI-driven development and shape the future of enterprise software with cutting-edge technologies like LLMs and Apache Kafka. You'll thrive here if you're a seasoned Java and Python developer passionate about building scalable microservices and leveraging AI to enhance the software development lifecycle. Embrace this chance to drive innovation and grow your expertise at a leading tech company.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Dallas, TX, United States
Posted
2 days ago
MicroservicesNeo4jSpringSpring BootAWSApacheAzureGoogle CloudJavaKafkaKubernetesLLMPythonTerraform

Job Description

FDE with LLM
Dallas, NJ, Charlotte Onsite
Key Responsibilities
  • Enterprise Integration & Architecture: Design, build, and maintain production-ready microservices using Java and Spring Boot, with high-performance event-driven pipelines powered by Apache Kafka.
  • Agentic AI & Knowledge Architecture: Build multi-agent workflows and complex orchestration pipelines using Lang Graph and Python. Model domain expertise using Knowledge Graphs to ground AI outputs in structured enterprise data.
  • ADLC Transformation: Champion and operationalize AI-Driven Software Development Life Cycle (ADLC) frameworks to accelerate engineering throughput, maintain high code quality, and automate automated testing/deployment loops.
  • Hands-on AI Tooling: Daily hands-on development leveraging AI coding agents and including in any one of the LLMs - Claude, Devin, and Antigravity CLI to automate complex code bases and workflow automation.
  • CoE Enablement & Standards: Establish best practices, architecture patterns, and governance frameworks for integrating GenAI and Agentic systems with existing core backend services across the organization.
Core Software Engineering (Must-Have)
  • Java & Spring Boot: Deep expertise in Java (12+ preferred), Spring Boot, Spring Cloud, RESTful APIs, and microservices design patterns.
  • Event-Driven Architecture: Strong hands-on experience with Apache Kafka (producers, consumers, stream processing, topic architecture, and fault tolerance).
  • Enterprise Delivery: Solid track record of deploying resilient, high-scale applications into production environments.
AI & Agentic Capabilities
  • Python Proficiency: Strong functional programming capability in Python for AI framework integration.
  • Agentic Frameworks: Hands-on experience building cognitive state machines or multi-agent systems using LangGraph (or similar orchestration frameworks like LangChain/AutoGPT).
  • Knowledge Graphs: Experience with graph databases (e.g., Neo4j, Amazon Neptune, NetworkX) or semantic tech (RDF, SPARQL, Cypher) to represent contextual enterprise knowledge.
  • Modern AI Engineering Tools: Deep hands-on experience using Claude (Claude 3.5 Sonnet / API workflows), Devin, or AntiGravity CLI for code generation, architectural refactoring, and automated development tasks.
Process & Frameworks
  • ADLC Exposure: Comprehensive understanding of AI-Driven Development Life Cycles moving beyond basic prompt engineering into automated task breakdown, AI-assisted code reviews, automated refactoring, and continuous integration.
Nice to Have
  • Experience with Vector Databases (Pinecone, Qdrant, Milvus) and hybrid search implementations (Graph + Vector / GraphRAG).
  • Exposure to cloud-native deployments (AWS, Azure, or Google Cloud Platform) using Kubernetes and Terraform.
  • Familiarity with evaluation frameworks for LLMs and agentic systems (e.g., Ragas, TruLens).
Thanks & Regards,
Pankaj Singh - Team Lead
Phone #

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