Full Stack AI Engineer

Software Engineer

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.