IT - Principal Consultant | Java | Core Java

Cloudspace LLC
Austin, TX, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$158,080.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Data Structures Software Design Patterns Python (Programming Language) Machine Learning Natural Language Processing NoSQL Performance Tuning
+27 more
RabbitMQ Recommender Systems Tensorflow Standard Sql Cisco WebEx Enterprise Software Applications Cloud Platform System Pytorch Large Language Models Prompt Engineering Spring-boot Generative AI Backend Event Driven Architecture AI Platforms AngularJS Scikit Learn Kubernetes Information Technology HuggingFace Apache Kafka Machine Learning Operations Software Coding Restful APIs Data Pipelines Docker Microservices

Job description

Do you have a pre-identified candidate? New sourcing? Existing Subcon? : New sourcing Max Hourly Pay Rate to the candidate?: 76 USD/Hour Do you have a preferred interview schedule?: No Would you require the candidates to meet you for an in-person interview?: The client requires an in-person interview. Candidates must be available to attend the interview at the client s Sunnyvale/Austin office. Is Skype/WebEx interview OK?: No Work Location with ZIP: Austin, TX 78753 Is remote work an option?: No If remote work, please indicate how many days are required to be in the office and remote: NA Chance to be perm?: Performance Expectations: Technical Hiring Criteria (Must Haves) Top 3 Required skills: Java (Spring Boot, Microservices). Angular JS GenAI, LLMs, AI/ML frameworks Python, We are looking for a passionate Java + Angular + AI Engineer who can design, build, and integrate intelligent systems into scalable enterprise applications. The ideal candidate has a strong Java development background combined with hands-on experience using AI/ML tools, APIs, and frameworks. You ll work closely with cross-functional teams to design robust backend services and embed AI-driven capabilities such as natural language processing, recommendation systems, predictive analytics, and automation., Design and develop high-performance applications using Java (Spring Boot, Microservices) and Angular Js Skills. Integrate AI models (e.g., via REST APIs, Python services, or cloud AI platforms). Collaborate with data scientists to deploy and optimize ML models in production. Build APIs and microservices that enable intelligent data-driven features. Implement data pipelines for AI workloads, ensuring scalability and reliability. Evaluate and experiment with GenAI, LLMs, and AI APIs (OpenAI, AWS Bedrock, Vertex AI, Azure OpenAI). Maintain coding standards, CI/CD pipelines, and cloud deployment best practices (AWS, GCP, or Azure). Troubleshoot performance issues and ensure application reliability., Job Description In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: Contribute to the requirements elicitation process by docum…

  • 1 day ago +

Requirements

Strong Java development experience (Java 8+, Spring Boot, REST APIs) and Angular JS. Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience or exposure to Generative AI technologies (e.g., LLM integration, prompt engineering, or AI model APIs) Experience integrating AI APIs (e.g., OpenAI, Hugging Face, Google Vertex AI). Solid understanding of data structures, algorithms, and software design patterns. Familiarity with Python for ML model interaction or API wrapping. Experience with Docker, Kubernetes, and cloud environments (AWS/GCP/Azure). Knowledge of SQL/NoSQL databases and data ingestion pipelines. Excellent communication and problem-solving skills. Preferred Qualifications Experience working with Generative AI / LLM applications. Exposure to LangChain, RAG architecture, or vector databases (Pinecone, FAISS). Understanding of the machine learning lifecycle (training, testing, deployment). Experience with event-driven systems (Kafka, RabbitMQ). Contribution to AI-based open-source projects or hackathons. Education Bachelor s or Master s in Computer Science, Engineering, or related field. Interview Criteria: The client requires an in-person interview. Candidates must be available to attend the interview at the client s Sunnyvale office., Project Code :Apple MARCOM and Meeting Enh 2026

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