Full Stack AI Engineer

Austin, TX - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Hi All

Role: SDS - Software Engineer

Location: Hybrid(Austin TX)

JOB DESCRIPTION

We are seeking a highly skilled Software Engineer with 5 or more years experience and strong experience in AI/ML and modern full-stack development to design build and deploy intelligent scalable applications. This role blends machine learning natural language processing (NLP) and cloud-native software engineering. The ideal candidate is comfortable working across the stack-from ML models and APIs to frontend applications and cloud infrastructure-while following best practices in security testing and architecture.

Responsibilities

Design develop and maintain scalable software solutions leveraging AI/ML models and modern web technologies.
Implement and optimize machine learning models including regression classification clustering and deep learning architectures.
Build NLP capabilities for text and speech processing sentiment analysis and language generation.
Develop and maintain microservices and APIs using modern architectural and design patterns.
Collaborate with cross-functional teams to translate business requirements into technical solutions.
Implement automated testing strategies to ensure code quality and reliability.
Integrate security best practices including SAST and DAST scanning into CI/CD pipelines.
Deploy and manage applications in cloud environments and containerized platforms.
Contribute to code reviews documentation and continuous improvement of engineering practices.

Required Qualifications

Strong understanding of ML concepts and deep learning architectures.
Hands-on experience with NLP techniques and real-world applications.
Proficiency in:
- Languages/Frameworks: Python TypeScript React FastAPI
- Databases/Tools: PostgreSQL Redis Pinecone
- AI/LLM Frameworks: LangChain
- GIS (preferred): ArcGIS
- DevOps: Docker Kubernetes GitHub Actions
Solid knowledge of software design patterns microservices and scalable architectures.
Experience with automated testing frameworks and methodologies.
Experience with SAST/DAST security tools and secure SDLC practices.
Familiarity with at least one major cloud platform: GCP AWS or Azure.

Preferred Qualifications

Experience building AI-powered or LLM-driven applications.
Exposure to vector databases and retrieval-augmented generation (RAG) patterns.
Experience working in Agile/Scrum environments.
Strong problem-solving and communication skills.

Hi All Role: SDS - Software Engineer Location: Hybrid(Austin TX) JOB DESCRIPTION We are seeking a highly skilled Software Engineer with 5 or more years experience and strong experience in AI/ML and modern full-stack development to design build and deploy intelligent scalable applications....