Full Stack AI Developer

Job Description / Required skillset:We are looking for a Full Stack AI Engineer who can design, build, and operate end to end, AI powered applications.This role blends strong full stack engineering fundamentals with hands on experience applying modern AI/ML and LLM technologies in production systems.You will work across frontend, backend, and AI layers to deliver scalable, secure, and user centric solutions—owning features from concept to production and continuously improving them using data and feedback.Key ResponsibilitiesFull Stack EngineeringDesign, build, and maintain end to end web applications using modern frontend and backend frameworksDevelop scalable backend services and APIs (REST / GraphQL) to support AI driven use casesEnsure high standards for performance, reliability, security, and maintainabilityWrite clean, testable, well documented code and participate in code reviewsAI / ML & LLM DevelopmentDesign and implement AI powered features, including LLM based workflows, retrieval augmented generation (RAG), agents, and prompt driven systemsIntegrate AI models into applications using APIs and SDKs (open source or enterprise approved)Collaborate on model evaluation, prompt tuning, and experimentation to improve quality and accuracyApply responsible AI principles, including security, privacy, explainability, and bias mitigationCloud, DevOps & Production ReadinessDeploy and operate applications in cloud environments using CI/CD pipelinesMonitor application and AI system performance, reliability, and costTroubleshoot production issues across frontend, backend, and AI componentsCollaboration & OwnershipPartner with product managers, designers, and other engineers to translate business needs into technical solutionsContribute to architectural decisions and technical standardsMentor junior engineers and promote best practices across the teamRequired QualificationsStrong experience in full stack software developmentProficiency in frontend technologies (e.g., React, Angular, or similar)Proficiency in backend development (e.g., Node.js, Python, Java, or similar)Hands on experience building or integrating AI/ML or LLM based solutionsExperience with APIs, databases, and distributed systemsSolid understanding of software engineering fundamentals (data structures, APIs, testing, design patterns)Preferred / Nice to Have QualificationsExperience with LLMs, prompt engineering, RAG pipelines, or AI agentsFamiliarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit learn)Experience deploying AI solutions in production environmentsKnowledge of cloud platforms (Azure, AWS, or GCP)Experience with DevOps, CI/CD, observability, and infrastructure as codeBackground in security, compliance, or regulated environments