AI/ML Software Engineer

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.

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

*             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

*             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.