Job Title: AI Technical Developer
Location: Austin TX
Duration: / Term: 6 months
Job Description:
Experience Desired: 7 Years
Job Description:
- We are seeking a highly skilled AI Technical Developer to lead the design development and deployment of cutting-edge AI-driven product solutions. This role involves collaborating closely with product development architecture and management teams to propel the advancement of AI technologies working with business teams and end customers.
- Design develop and maintain scalable Python-based backend services and microservices for enterprise applications.
- Build and integrate AI/ML and LLM-driven solutions including model inference services data pipelines and API exposure.
- Develop and maintain modern UI applications using Angular ensuring seamless integration with Python backends.
- Deploy manage and optimize containerized workloads on Kubernetes on Bare Metal (KOB) platforms. Implement end to end DevOps practices including CI/CD infrastructure automation monitoring and observability.
- Apply security-by-design principles across application API container and infrastructure layers. Collaborate cross-functionally with product architecture QA platform and security teams to deliver high-quality solutions.
- Ensure code quality through unit testing integration testing code reviews and documentation. Drive performance optimization reliability and scalability across the full technology stack.
- Exposure in Large Language Models (LLMs) Machine Learning Deep Learning Generative AI Supervised Learning Data Science and Data Engineering.
- Python Full stack Development Strong hands-on experience with Python (3.x) for enterprise application development. Expertise with FastAPI Flask or Django frameworks.
- Proficiency in building RESTful and event-driven APIs. Strong understanding of asynchronous programming threading and performance optimization.
- Experience with SQL and NoSQL databases (PostgreSQL MySQL MongoDB Redis). Experience developing and integrating AI/ML solutions into production systems.
- Hands-on exposure to machine learning frameworks such as PyTorch TensorFlow or Scikit-learn.
- Experience with LLMs prompt engineering and AI service orchestration is a strong plus. Understanding of model lifecycle management monitoring and inference performance tuning.
- Data Science tools and visualization tools Strong experience developing applications with Angular Proficiency in TypeScript RxJS component-based architecture and state management.
- Ability to integrate UI with secure backend APIs. Familiarity with responsive UI design accessibility standards and performance optimization.
- Hands-on experience with Docker and containerization best practices.
- Strong expertise in Kubernetes on Bare Metal (KOB) including:
- Cluster setup upgrades and troubleshooting Networking (CNI) storage (CSI) and ingress configurations High availability and fault tolerance
Key Skills:
AI ML Python Devops Kubernetes React
Job Title: AI Technical Developer Location: Austin TX Duration: / Term: 6 months Job Description: Experience Desired: 7 Years Job Description: We are seeking a highly skilled AI Technical Developer to lead the design development and deployment of cutting-edge AI-driven product solutions. This role...
Job Title: AI Technical Developer
Location: Austin TX
Duration: / Term: 6 months
Job Description:
Experience Desired: 7 Years
Job Description:
- We are seeking a highly skilled AI Technical Developer to lead the design development and deployment of cutting-edge AI-driven product solutions. This role involves collaborating closely with product development architecture and management teams to propel the advancement of AI technologies working with business teams and end customers.
- Design develop and maintain scalable Python-based backend services and microservices for enterprise applications.
- Build and integrate AI/ML and LLM-driven solutions including model inference services data pipelines and API exposure.
- Develop and maintain modern UI applications using Angular ensuring seamless integration with Python backends.
- Deploy manage and optimize containerized workloads on Kubernetes on Bare Metal (KOB) platforms. Implement end to end DevOps practices including CI/CD infrastructure automation monitoring and observability.
- Apply security-by-design principles across application API container and infrastructure layers. Collaborate cross-functionally with product architecture QA platform and security teams to deliver high-quality solutions.
- Ensure code quality through unit testing integration testing code reviews and documentation. Drive performance optimization reliability and scalability across the full technology stack.
- Exposure in Large Language Models (LLMs) Machine Learning Deep Learning Generative AI Supervised Learning Data Science and Data Engineering.
- Python Full stack Development Strong hands-on experience with Python (3.x) for enterprise application development. Expertise with FastAPI Flask or Django frameworks.
- Proficiency in building RESTful and event-driven APIs. Strong understanding of asynchronous programming threading and performance optimization.
- Experience with SQL and NoSQL databases (PostgreSQL MySQL MongoDB Redis). Experience developing and integrating AI/ML solutions into production systems.
- Hands-on exposure to machine learning frameworks such as PyTorch TensorFlow or Scikit-learn.
- Experience with LLMs prompt engineering and AI service orchestration is a strong plus. Understanding of model lifecycle management monitoring and inference performance tuning.
- Data Science tools and visualization tools Strong experience developing applications with Angular Proficiency in TypeScript RxJS component-based architecture and state management.
- Ability to integrate UI with secure backend APIs. Familiarity with responsive UI design accessibility standards and performance optimization.
- Hands-on experience with Docker and containerization best practices.
- Strong expertise in Kubernetes on Bare Metal (KOB) including:
- Cluster setup upgrades and troubleshooting Networking (CNI) storage (CSI) and ingress configurations High availability and fault tolerance
Key Skills:
AI ML Python Devops Kubernetes React
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