Java + Angular + GenAI Engineer @ Austin, TX 78753 _ Onsite _ Only on W2

Role: Java + Angular + GenAI Engineer
Location: Austin, TX 78753 _ Onsite
Duration: Long Term
Only on W2
Interview: In-person only
Please share the resume at
Must Have
Java (Spring Boot, Microservices).
Angular JS
GenAI, LLMs, AI/ML frameworks
Python
Key Responsibilities
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, Google Cloud Platform, or Azure).
Troubleshoot performance issues and ensure application reliability.
Required Skills & Experience
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/Google Cloud Platform/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.