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Java Full Stack Developer - Advanced

Techgroup America Inc.Columbus, OH🇺🇸United StatesPosted 21 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Columbus, OH, United States
Posted
6 days ago
DockerMicroservicesSQLSpringSpring BootAWSScrumAgileAngularAzureGenerative AIGitGoogle CloudHibernateJWTJavaJavaScriptKafkaKubernetesLLMRESTRabbitMQReactTypeScript

Job Description

Key Responsibilities

  • Design and develop scalable full-stack applications using Java, Spring Boot, REST APIs, and modern frontend frameworks.
  • Build responsive user interfaces using React.js / Angular and integrate them with backend services and APIs.
  • Design and implement microservices-based applications and enterprise integration solutions.
  • Develop and integrate GenAI and Agentic AI capabilities into enterprise applications and workflows.
  • Work with AI/agent frameworks such as LangChain, LangGraph, Microsoft Semantic Kernel, CrewAI, AutoGen, or similar frameworks.
  • Integrate applications with LLMs, RAG pipelines, vector databases, AI APIs, and enterprise data sources.
  • Develop APIs and tool integrations that enable AI agents to interact with enterprise systems.
  • Work with MCP (Model Context Protocol) or similar approaches for connecting AI agents with enterprise tools and services.
  • Build proof-of-concepts rapidly and evolve them into production-ready solutions.
  • Work directly with client/business stakeholders to understand ambiguous business problems and translate them into technical solutions.
  • Design and implement workflows involving AI agents, orchestration, tool calling, memory, human-in-the-loop processes, and automated decisioning.
  • Integrate AI solutions with existing enterprise applications, databases, APIs, and legacy systems.
  • Implement authentication, authorization, security, logging, monitoring, and governance requirements.
  • Deploy applications and AI workloads on cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Containerize and deploy applications using Docker and Kubernetes.
  • Implement CI/CD pipelines and follow modern DevOps and software engineering practices.
  • Perform testing, debugging, performance optimization, and production support.
  • Collaborate with architects, product managers, AI engineers, data engineers, and client stakeholders.
  • Document technical designs, reusable components, integration patterns, and deployment processes.

Required Technical Skills Backend

  • Strong hands-on experience with Java 8/11/17+
  • Spring Boot, Spring MVC, Spring Security
  • Microservices architecture
  • RESTful APIs and API integration
  • Hibernate / JPA
  • SQL and relational databases
  • Experience with messaging systems such as Kafka/RabbitMQ is preferred

Frontend

  • Strong experience with React.js or Angular
  • JavaScript / TypeScript
  • HTML5, CSS3
  • Responsive UI development
  • Frontend-backend API integration

Agentic AI / GenAI

  • Understanding of Generative AI, LLMs, and Agentic AI
  • Hands-on experience integrating LLMs into applications
  • Experience with one or more agentic frameworks such as:
    • LangChain
    • LangGraph
    • CrewAI
    • AutoGen
    • Semantic Kernel
    • Google ADK / AWS Bedrock Agents
  • Knowledge of RAG, embeddings, vector databases, prompt engineering, tool/function calling, and agent orchestration
  • Exposure to MCP / Model Context Protocol is an advantage
  • Understanding of LLM evaluation, observability, guardrails, and responsible AI is preferred

 

Cloud & DevOps

  • Experience with at least one cloud platform: AWS / Azure / Google Cloud Platform
  • Docker and Kubernetes
  • CI/CD pipelines
  • Git / GitHub / GitLab / Bitbucket
  • Cloud-native application development
  • Experience with cloud-based AI services is preferred

Data & Integration

  • Strong SQL and database fundamentals
  • Experience with relational and NoSQL databases
  • Exposure to vector databases such as Pinecone, Weaviate, Milvus, OpenSearch, or similar
  • Experience integrating enterprise APIs, third-party services, and data platforms
  • Understanding of data pipelines and event-driven architectures is a plus

Forward Deployed Engineer Capabilities

  • Ability to work directly with client engineering and business teams.
  • Strong problem-solving skills and ability to operate in ambiguous environments.
  • Ability to rapidly prototype and demonstrate working solutions.
  • Strong communication and stakeholder-management skills.
  • Ability to explain technical concepts and architecture decisions to both technical and non-technical audiences.
  • Comfortable owning solutions end-to-end—from discovery and design through development, deployment, and production support.
  • Willingness to work closely with customers and adapt solutions based on real-world feedback.

Experience

  • 5+ years of experience in software/full-stack development.
  • Strong commercial experience in Java Full Stack Development.
  • At least 1–2 years of hands-on exposure to GenAI / Agentic AI / AI-enabled application development preferred.
  • Experience delivering enterprise applications in production environments.
  • Experience working with large enterprise clients is a strong advantage.
  • BFSI / Healthcare / Retail / Telecom or other regulated-industry experience is preferred.

Preferred Qualifications

  • Experience building AI-native applications or agentic workflows.
  • Experience with LLM APIs such as OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
  • Experience with RAG and enterprise knowledge systems.
  • Experience with AI observability, evaluation, guardrails, and governance.
  • Exposure to enterprise security concepts such as OAuth2, JWT, IAM, RBAC, and API security.
  • Experience working in Agile/Scrum environments.
  • Strong analytical, communication, and client-facing skills.

 

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