FullStack Developer with Gen AI

Tror AI for everyone

Plano, TX

JOB DETAILS
SALARY
$60–$65
SKILLS
AJAX (Asynchronous JavaScript and XML), AWS Lambda, Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Ansible, Apache, Apache ActiveMQ, Apache Kafka, Apache Spark, Application Programming Interface (API), Artificial Intelligence (AI), Atlassian JIRA, Banking Services, Behavior Driven Development (BDD), Best Practices, CSS (Cascading Style Sheet), Cloud Computing, Code Reviews, Data Science, DevOps, Docker, Emerging Technology, Enterprise Applications, Enterprise Service Bus (ESB), Git, GitHub, Gradle, HTML5, IBM AIX Operating System, Java, Java Platform Enterprise Edition (Java EE/J2EE), Jenkins, Leadership, Machine Tool, Mail Services, Maven, Mentoring, Microservices, Microsoft Windows Operating System, Operating Systems, Oracle Database 9i, Performance Modeling, Production Systems, Python Programming/Scripting Language, REST (Representational State Transfer), React.js, Scalable System Development, Scripting (Scripting Languages), Software Development, Software Engineering, Spring Framework, Team Lead/Manager, Test Driven Development (TDD), Test Tools, Training Data Sets, Unix Operating Systems, Use Cases, User Interface/Experience (UI/UX), Vector Based, jQuery
LOCATION
Plano, TX
POSTED
1 day ago

Job Title: FullStack Developer with Gen AI

Location: Texas Plano (Locals preferred)

Years of Experience: 12+ Years

Job Summary:

We are seeking a seasoned Generative AI Java Developer with expertise in AWS Bedrock and enterprise-grade Java application development. This role combines advanced AI/ML engineering with robust software development skills to design, build, and deliver scalable, intelligent systems. The ideal candidate will have a proven track record in deploying generative AI solutions, architecting microservices, and integrating AI/LLM capabilities into modern enterprise applications particularly within banking and financial domains.

Key Responsibilities

  • AI System Design & Implementation: Architect and develop scalable AI agent frameworks tailored to business needs, leveraging foundational models and AWS Bedrock.
  • Bedrock Model Expertise: Fine-tune and deploy Bedrock models (LLMs, multimodal models) for use cases such as vector-based retrieval and Retrieval-Augmented Generation (RAG).
  • Enterprise Java Development: Design, develop, and deliver multi-tier, enterprise-grade Java applications with strong focus on microservices, REST APIs, and Kafka-based integrations.
  • Optimization & Reliability: Enhance model performance while balancing computational cost, ensuring deployed AI systems are robust, accurate, and maintainable.
  • Innovation & Integration: Actively integrate AI/ML capabilities and LLM-based tooling into modern software systems, staying updated on emerging technologies.
  • Collaboration: Work closely with data scientists, engineers, product managers, and stakeholders to translate AI research into production-ready systems.
  • Leadership & Best Practices: Mentor teams, drive engineering excellence through TDD, BDD, and DDD, and ensure delivery of high-quality software solutions.
  • Data & Infrastructure: Manage large datasets, model lifecycle tools (MLflow, Kubeflow), and containerization (Docker, Kubernetes) for reproducible, scalable environments.

Required Skills & Experience

Technical Skills

  • Languages: Java (8/11/17), Python (scripting & AI automation).
  • AI/ML & LLM: AWS Bedrock, OpenAI GPT-4 API, LangChain, Hugging Face Transformers, RAG pipelines, LLM orchestration, prompt engineering, AI-assisted code review (GitHub Copilot).
  • Frameworks: Spring Boot, Spring AI, Microservices, Apache Camel, Fuse ESB.
  • Messaging: Apache Kafka, ActiveMQ Artemis, event-driven architecture.
  • Frontend: React JS, HTML5, CSS3, AJAX, jQuery.
  • Cloud & DevOps: AWS (EC2, S3, Lambda, SageMaker), Docker, Kubernetes, Jenkins, Ansible, Git.
  • Databases: Oracle (9i/10g/12c), vector databases (Pinecone, others).
  • Testing & Tools: Cucumber (BDD), SonarQube, Postman, JIRA, Maven, Gradle, Apache Spark.
  • Operating Systems: Windows, UNIX, IBM AIX.

Experience

  • 8 years in AI/ML engineering and enterprise Java development.
  • Proven track record in deploying ML models and generative AI systems into production.
  • Strong expertise in microservices architecture, Kafka-based integrations, and cloud-native solutions.
  • Demonstrated leadership in mentoring teams and driving engineering best practices.

About the Company

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Tror AI for everyone