Technical Lead - AI Platform & Agentic Systems

Job Description

We are looking for an experienced Technical Lead AI Platform & Agentic Systems to lead the architecture, development, and delivery of enterprise-grade Generative AI and Agentic AI solutions on Google Cloud Platform.

The ideal candidate will have strong hands-on software engineering expertise combined with technical leadership experience and a proven track record of taking complex applications into production.

Key Responsibilities

• Lead architecture, design, development, and deployment of scalable GenAI and Agentic AI applications.
• Design enterprise-grade backend systems using Python, FastAPI, REST APIs, microservices, and event-driven architectures.
• Design and implement LLM, RAG, prompt engineering, embeddings, vector search, and AI orchestration solutions.
• Build autonomous and multi-agent systems involving tool calling, memory, planning, workflow orchestration, and agent governance.
• Design and develop agent-based applications using Google Agent Development Kit (ADK).
• Work extensively with Google Cloud Platform, including Vertex AI, Cloud Run, Cloud Build, Cloud Storage, IAM, Secret Manager, Cloud Monitoring, and Cloud SQL.
• Design and optimize PostgreSQL databases, including indexing, query optimization, transactions, and performance tuning.
• Implement vector search using pgvector or equivalent technologies.
• Establish engineering standards covering coding practices, testing, security, code reviews, and deployment.
• Guide and mentor engineering teams and drive technical delivery.
• Work with Docker, GitHub Actions, CI/CD and automated deployment pipelines.
• Collaborate with product, engineering, and business stakeholders to define technical roadmaps.

Mandatory Skills

• 5+ years of software engineering experience.
• Strong hands-on experience with Python.
• Strong expertise in FastAPI, REST APIs, Microservices.
• Hands-on experience with Generative AI / LLMs / RAG / Prompt Engineering.
• Strong understanding of Agentic AI and Multi-Agent Systems.
• Hands-on experience with Google Agent Development Kit (ADK) – Mandatory.
• Strong experience with GCP and Vertex AI.
• Experience with Cloud Run, Cloud Storage, Cloud SQL, IAM.
• Strong PostgreSQL expertise.
• Experience with Docker, Git, CI/CD and GitHub Actions.
• Strong system design and software architecture skills.
• Proven technical leadership and team mentoring experience.

Good to Have

• pgvector / Vector Databases
• Terraform / Infrastructure as Code
• Kubernetes
• React / Redux / TypeScript
• Event-driven architecture
• Cloud-native AI deployments
• Human-in-the-loop AI workflows

Candidate Profile

Excellent communication, stakeholder management, analytical thinking, mentoring, and problem-solving skills are essential.

The candidate should be comfortable owning technical decisions and driving AI solutions from architecture through production.

Interested candidates can share their updated CV with relevant experience in GenAI / Agentic AI / GCP / Google ADK.