AI/ML Software Engineer

eStaffLLC • Austin, TX

20h • Hybrid

About The Position

We are seeking a highly skilled Software Engineer currently residing in Texas 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 for a hybrid ( work onsite at least 1 day a week) with our Austin, Texas client . 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.

Requirements

• 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.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed