Senior AI Engineer - India
NowVertical Group3 days ago
Navi Mumbai, IndiaSenior
Responsibilities
- Lead implementation of multi-agent systems using Google AI SDKs, Vertex AI Agent Builder, LangGraph, CrewAI, and comparable orchestration frameworks.
- Design stateful, tool-augmented agents with planning, memory, autonomous execution, and cross-agent communication.
- Build production-grade LLM applications including RAG pipelines, specialized agents, and developer copilots.
- Integrate enterprise APIs, legacy systems, tools, and event-driven systems into agentic workflows.
- Develop reusable AI microservices, agent frameworks, standardized APIs, model routing, observability, and safety capabilities.
- Deploy and manage AI systems across GCP, Azure, and AWS using Docker, Kubernetes, and Cloud Run.
- Implement monitoring and observability and lead incident response and post-mortems for production failures.
- Act as a technical lead, mentor junior engineers, conduct code reviews, and collaborate with data, product, delivery, and principal engineering teams.
Requirements
- 5–8 years of software engineering experience, including at least 3 years focused on production LLM-based or AI systems.
- Proven experience building and shipping RAG pipelines, autonomous agents, and multi-step reasoning chains.
- Strong hands-on experience with Google AI SDKs, Vertex AI, and/or Azure AI services.
- Deep proficiency with LangGraph, CrewAI, LlamaIndex, Haystack, or comparable orchestration frameworks.
- Expert-level Python and strong backend development experience with FastAPI, Go, or Node.js.
- Understanding of planning, reflection, memory, tool use, agent design patterns, and non-deterministic reasoning pipelines.
- Experience integrating complex enterprise APIs and event-driven systems into agentic workflows.
- Strong familiarity with GCP and/or Azure core services, including GKE, Cloud Run, and Azure AI services.
- Experience with Terraform or Pulumi and automated AI model evaluation and deployment pipelines.
- Experience with vector databases such as Vertex AI Vector Search, Azure AI Search, Pinecone, or Weaviate.
- Experience with data pipelines using BigQuery, Pub/Sub, or Azure Synapse, including ETL/ELT for unstructured data.
- Ability to take technical ownership, mentor engineers, and build resilient, observable, production-ready AI systems.
Benefits
- Competitive base salary and performance incentives.
- Comprehensive benefits structure.
- Exposure to global clients, cutting-edge AI projects, and a growing AI practice.
- Ongoing learning and development support.
- Full-time, on-site role in Navi Mumbai, India.
Tech Stack
Categories