What are the responsibilities and job description for the Full Stack Architect – Agentic AI position at Relanto, Inc.?
Position: Full Stack Architect – Agentic AI
Location: Bay Area, CA (Hybrid)
Employment Type: Full-Time
Job Description:
We are seeking a highly skilled and client-facing Full Stack Architect with strong expertise in Python backend development, modern front-end frameworks, and Google Cloud Platform (Google Cloud Platform) to lead the design of next-gen Agentic AI solutions. In this role, you will architect intelligent, cloud-native applications that leverage LLMs, autonomous agents, and Google Cloud Platform-native services to deliver scalable AI capabilities for high-tech customers.
Responsibilities:
- Architect and deliver end-to-end AI-powered solutions for high-tech clients using Google Cloud Platform-native components and Agentic AI frameworks.
- Design scalable backend services using Python (FastAPI, Flask, or Django) and integrate them with LLMs and autonomous agent frameworks (LangChain, AutoGen, CrewAI).
- Define solution architectures leveraging Google Cloud Platform services such as Vertex AI, BigQuery, Cloud Functions, Pub/Sub, Cloud Run, and Firestore.
- Lead the design and implementation of frontend applications using React, Angular, or Vue, ensuring seamless UX/UI integration with AI capabilities.
- Collaborate with clients, product managers, and engineering teams to capture business requirements and convert them into technical roadmaps.
- Drive technical workshops, POCs, and architectural reviews focused on AI/ML and cloud transformation strategies.
- Implement and optimize vector database integrations (e.g., Pinecone, Weaviate, FAISS) and embedding pipelines on Google Cloud Platform.
- Define and enforce best practices in cloud-native DevOps, microservices, and CI/CD automation using Google Cloud Platform tools like Cloud Build, Artifact Registry, and Cloud Monitoring.
- Provide architectural guidance and mentorship to distributed engineering teams following Agile delivery models.
Required Skills:
- 10 years of experience in full stack architecture and software engineering, ideally in high-tech product or platform environments.
- Strong hands-on experience with Python backend frameworks (FastAPI, Flask, Django).
- Proficient in frontend development using Angular with a solid understanding of UX patterns.
- Hands-on experience with Agentic AI frameworks such as LangChain, AutoGen, or CrewAI.
- Deep knowledge of LLM APIs (OpenAI, Claude, Gemini, Mistral) and prompt engineering strategies.
- Solid experience with Google Cloud Platform services including Vertex AI, BigQuery, Pub/Sub, Cloud Storage, Cloud Functions, and Cloud Run.
- Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines.
- Expertise in REST, GraphQL, microservices architecture, and API gateways.
- Proficient in Docker, Kubernetes (GKE preferred), and CI/CD pipelines using Cloud Build or equivalent.
- Strong communication skills and ability to engage with both technical and business stakeholders.
- Experience working with Agile methodologies and distributed delivery teams.
Preferred skills:
- Google Cloud Platform Certification (e.g., Professional Cloud Architect, Professional Data Engineer) is a strong plus.
- Experience in CI/CD implementation on DevOps platforms (e.g., GitLab CI/CD, Cloud Build, Jenkins, or GitHub Actions).
- Familiarity with multi-cloud deployments (AWS, Azure) in addition to Google Cloud Platform.