Full Stack AI Software Developer

Senior Full-Stack AI Engineer (React / Java / Python / Agentic AI) Hiring Organization: Griting AI Position Type: Full-Time, US remote role, directly hiring with Griting's client Experience: 5–10 Years Industry: Enterprise AI / SaaS / Industrial Technology Employment Relationship: Direct employment with our client Salary Range : 160k-180k per year(base) + performance based equity or bonus. About the Opportunity Griting AI is a Silicon Valley-based AI-powered talent intelligence, evaluation, and recruitment company. We partner with organizations to identify, assess, and connect exceptional technical talent with meaningful career opportunities. We are recruiting on behalf of one of our enterprise technology clients seeking an experiencedSenior Full-Stack AI Engineerto join its platform engineering team. Our client is developing an advanced, ontology-driven enterprise AI platform that transforms complex industrial and engineering documents into structured, actionable knowledge. The platform combines modern web applications, cloud-native backend services, knowledge representation, and agentic AI capabilities. This is a full-time opportunity with our client, not an internal engineering position at Griting AI. Griting AI serves as the recruitment and talent evaluation partner throughout the hiring process. The selected candidate will join and work directly with the client's engineering organization. The client's identity will be shared with qualified candidates at an appropriate stage of the recruitment process. Key Responsibilities Own customer-facing features end to end, from requirements and technical design through implementation, testing, deployment, and production support. Build and maintain modern web applications using React, Next.js, and TypeScript. Develop scalable backend services using Java, Spring Boot, Python, and FastAPI. Integrate LLMs, AI agents, RAG/GraphRAG, and multi-model orchestration into production applications. Work with ontology-driven data models, knowledge graphs, and document intelligence capabilities. Leverage AI-assisted development tools to accelerate implementation while maintaining engineering quality, security, and maintainability. Build, containerize, and deploy cloud-native services using Docker, Kubernetes, and Helm. Support production deployments across Google Cloud and Microsoft Azure. Develop automated tests, troubleshoot complex issues, improve system performance, and maintain service reliability. Collaborate with cross-functional stakeholders to translate business requirements into reliable software solutions. Required Qualifications 5–10 years of professional software engineering experience in full-stack or backend-focused development. Strong proficiency in at least one of TypeScript, Java, or Python, with the ability to work across multiple technology stacks. Experience developing production web applications using React, Next.js, or similar frameworks. Experience building backend applications and REST APIs using Spring Boot, FastAPI, or equivalent frameworks. Solid understanding of relational databases, authentication, authorization, and modern software architecture. Hands-on experience with Docker, Kubernetes, and a major cloud platform such as GCP or Azure. Demonstrated ability to use AI coding assistants effectively while independently validating generated code. Proven experience owning software features from design to production deployment. Strong foundation in testing, debugging, code reviews, and maintainable software development. Ability to become productive quickly in unfamiliar, complex codebases. Preferred Qualifications Experience developing production AI applications involving LLMs, AI agents, RAG, GraphRAG, or multi-model workflows. Familiarity with OpenAI, Anthropic Claude, Google Vertex AI, Azure OpenAI, or Model Context Protocol (MCP). Experience with knowledge graphs, ontology-driven platforms, or document intelligence. Familiarity with PostgreSQL, Redis, OpenSearch, vector databases, or Apache Kafka. Experience with event-driven systems, microservices, and workflow orchestration. Production experience with Java Spring Boot and Python FastAPI. Familiarity with CI/CD, Helm, GitHub Actions, and observability tools. Technology Environment Frontend: React, Next.js, TypeScript, Tailwind CSS, MUI Backend: Java 21, Spring Boot, Python, FastAPI AI: OpenAI, Claude, Gemini, Vertex AI, Azure OpenAI, MCP, RAG, GraphRAG Data: PostgreSQL, OpenSearch, Redis, Kafka, vector databases Cloud: Google Cloud (GKE), Microsoft Azure (AKS), Docker, Kubernetes, Helm Architecture: Cloud-native microservices, ontology-driven data models, knowledge graphs, and agentic workflows Candidates are not expected to have mastered every technology listed. Strong engineering fundamentals, adaptability, and production delivery experience are particularly important. Why Consider This Opportunity? Build enterprise-grade AI products that address real-world industrial and engineering challenges. Work across the full technology stack, including modern frontend applications, distributed backend services, and agentic AI. Take meaningful ownership of product features and production outcomes. Apply AI-native engineering practices to accelerate software development. Contribute to the evolution of an enterprise knowledge and intelligence platform. Recruitment and Evaluation Process Griting AI manages the initial recruitment and talent evaluation process on behalf of our client. Qualified applicants may be invited to participate in: Initial application and experience review. Griting AI's technical capability assessment. Technical and experience-based discussions. Interviews with the client's engineering and hiring teams. Final selection and employment offer issued by the client. Participation in Griting AI's assessment process does not constitute an employment relationship with Griting AI. About Griting AI Griting AI is a Silicon Valley-based AI talent intelligence and evaluation company focused on helping organizations identify, verify, and develop high-quality technical talent. Through AI-powered evaluation, structured assessment, and human-centered recruitment services, we help employers make more informed hiring decisions while recognizing the authentic capabilities and potential of each candidate. Learn more: Equal Opportunity Griting AI is committed to fair, inclusive, and skills-based recruitment practices. We welcome applicants from diverse professional backgrounds and evaluate candidates based on relevant qualifications, demonstrated capabilities, and position requirements. Employment decisions are made by the hiring client. Apply through Griting AI to be considered for this opportunity.