Full Stack Developer – AI​/ML

Responsibilities

• Design, develop, and deploy AI/ML solutions, including LLMs, NLP, computer vision, and predictive analytics
• Build and implement Retrieval-Augmented Generation (RAG) pipelines and AI-powered applications
• Integrate AI solutions into existing enterprise systems and workflows
• Design and implement scalable data pipelines for ingestion, transformation, and processing of structured and unstructured data
• Develop and maintain data lakehouse architectures
• Build ETL/ELT workflows using tools such as Azure Data Factory, Apache Airflow, or similar
• Develop end-to-end applications, including frontend, backend, and APIs
• Create intuitive user interfaces for AI-driven applications
• Deploy applications using cloud-native architectures (AWS, Azure, GCP)
• Translate business requirements into technical architectures and working solutions
• Integrate AI and data solutions into enterprise and cloud environments
• Collaborate with cross-functional teams to deliver production-ready solutions
• Clearly articulate complex technical concepts through written documentation, proposals, and solution artifacts

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
• 4+ years of experience in AI/ML, data engineering, or full-stack development
• Strong programming skills in Python, JavaScript/Type Script, or Java
• Experience with AI/ML frameworks (Tensor Flow, PyTorch, Hugging Face, OpenAI APIs)
• Experience building data pipelines and working with big data technologies
• Hands‑on experience with cloud platforms (AWS, Azure, or GCP)
• Experience with REST APIs, microservices, and frontend frameworks (React, Angular, or Vue)
• Experience with LLMs, RAG architectures, and generative AI applications
• Familiarity with Databricks, Snowflake, or lakehouse architectures
• Experience with Dev Ops tools (Docker, Kubernetes, CI/CD pipelines)