The Role
Architects and delivers end-to-end agentic AI solutions using GCP, Python, LLMs, vector databases, and modern frontend frameworks. Designs scalable backend and cloud-native architectures, leads AI-focused workshops and proof-of-concepts, and establishes DevOps, microservices, and CI/CD practices. Collaborates with clients and engineering teams to translate business needs into technical roadmaps, while mentoring distributed teams and guiding architectural reviews.
Summary Generated by Built In
Responsibilities:
- Architect and deliver end-to-end AI-powered solutions for high-tech clients using GCP-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 GCP 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 GCP.
- Define and enforce best practices in cloud-native DevOps, microservices, and CI/CD automation using GCP 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 GCP 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:
- GCP 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 GCP.
Skills Required
- 10+ years of experience in full stack architecture and software engineering
- Hands-on experience with Python backend frameworks including FastAPI, Flask, or Django
- Frontend development experience using Angular and understanding of UX patterns
- Hands-on experience with agentic AI frameworks such as LangChain, AutoGen, or CrewAI
- Experience with LLM APIs including OpenAI, Claude, Gemini, or Mistral
- Experience with prompt engineering strategies
- Experience with GCP services including Vertex AI, BigQuery, Pub/Sub, Cloud Storage, Cloud Functions, and Cloud Run
- Familiarity with vector databases and retrieval-augmented generation pipelines
- Expertise in REST, GraphQL, microservices architecture, and API gateways
- Proficiency with Docker, Kubernetes, preferably GKE, and CI/CD pipelines
- Strong communication skills with technical and business stakeholders
- Experience with Agile methodologies and distributed delivery teams
- GCP certification such as Professional Cloud Architect or Professional Data Engineer
- Experience with CI/CD platforms such as GitLab CI/CD, Cloud Build, Jenkins, or GitHub Actions
- Familiarity with multi-cloud deployments using AWS or Azure in addition to GCP
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The Company
What We Do
Relanto is a global advisory, consulting, and technology-services partner that helps organizations navigate business transformation as artificial intelligence reshapes the business landscape. Founded in 2021, the company combines advisory expertise with consulting and technology services, operating across a global footprint that includes India and the United States. Its mission centers on applying AI and modern technology to evolving enterprise needs.
