Role: Senior AI Engineer

Location: Navi Mumbai, India

Experience: 5-8 Years

NowVertical is a publicly listed company on the TSXV headquartered at Toronto, Canada. We are a growing team, with operations in two regions - NA & EMEA and LATAM. We help clients transform data into business value with AI, fast. NowVertical Group empowers organizations to transform their data into actionable insights, driving strategic growth and innovation. At NowVertical, we provide advanced data solutions and services designed to achieve key objectives across various business functions. Our tailored approach ensures that we address the unique challenges and opportunities within each function, driving innovation, efficiency, and growth. Explore our specialized solutions and see how we can help your business thrive.

Know more about NowVertical - www.nowvertical.com

NowVertical is looking for a Senior AI Engineer to design, build, and scale agentic AI systems powered by modern Large Language Models (LLMs). Reporting to our Principal AI Engineer, you will take technical ownership of complex AI workstreams, mentor more junior engineers, and help shape NowVertical's AI platform strategy.

This is a deeply hands-on role. You will architect and ship production-grade AI systems—multi-agent orchestration, RAG pipelines, tool-augmented reasoning workflows—while working across GCP, Azure, and AWS. We value versatile engineers who can navigate multiple frameworks and cloud environments to build resilient, observable, and scalable AI applications.

Requirements

What you will do...

Agentic AI & Multi-Agent Systems
Lead the implementation of multi-agent systems using Google AI SDKs (Vertex AI Agent Builder), LangGraph, CrewAI, and other emerging orchestration frameworks
Design and build stateful, tool-augmented agents capable of advanced reasoning, long-term planning, and autonomous execution
Develop and document agent orchestration patterns including planner-executor, supervisor-worker, and hierarchical agent structures
Implement sophisticated memory systems (short-term, long-term, and cross-session contextual memory)
Enable seamless cross-agent communication and multi-modal coordination
LLM Applications & Orchestration
Lead the delivery of production-grade LLM applications: RAG pipelines, specialised agents, and developer copilots
Integrate diverse tools, enterprise APIs, and legacy systems into agentic workflows
Design robust system prompts, dynamic routing logic, and AI guardrails using Vertex AI Model Garden or Azure AI Studio
Drive optimisation of AI workflows for latency, token cost, and output quality
Platform & API Development
Develop and own reusable AI microservices, agent frameworks, and standardised APIs
Contribute to core AI platform capabilities including model routing, centralised observability, and safety filters
Define and enforce engineering standards and best practices for AI development across the team
Cloud Deployment & Production Systems
Deploy and manage agent-based systems on GCP, Azure, and/or AWS using Docker, Kubernetes (GKE/AKS/EKS), and Cloud Run
Implement comprehensive monitoring and observability using Vertex AI Inspector, LangSmith, or Azure Monitor
Drive incident response and post-mortems for production AI system failures
Technical Leadership & Mentoring
Act as a technical lead on key AI engineering workstreams, shaping architecture and approach
Mentor and support more junior AI engineers through code review, design discussions, and pair programming
Collaborate with Principal AI Engineer and cross-functional teams (data, product, delivery) to align AI engineering with business outcomes
Stay at the forefront of the rapidly evolving agentic AI landscape and bring new approaches into the team

Qualification & Skills:

Core AI Expertise (Required)

5-8 years of software engineering experience with at least 3 years focused on LLM-based or AI systems in production
Proven track record 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 in orchestration stacks: LangGraph, CrewAI, LlamaIndex, Haystack, or comparable frameworks
Expert-level Python; strong backend development skills (FastAPI, Go, or Node.js)

Agentic & Systems Thinking (Required)

Deep understanding of agent design patterns: planning, reflection, memory, and tool-use
Experience integrating complex enterprise APIs and event-driven systems into agentic workflows
Proven ability to trace, debug, and improve non-deterministic, multi-step AI reasoning pipelines
Strong instinct for building resilient, observable, and production-ready AI systems

Cloud & DevOps (Required)

Strong familiarity with GCP and/or Azure core services: GKE, Cloud Run, Azure AI services
Infrastructure as Code: Terraform or Pulumi
CI/CD: experience building automated evaluation and deployment pipelines for AI models

Data Engineering (Required)

Vector databases: Vertex AI Vector Search, Azure AI Search, Pinecone, or Weaviate
Data pipelines: BigQuery, Pub/Sub, Azure Synapse
ETL/ELT experience preparing unstructured data for RAG and fine-tuning

What We Are Looking For...

Engineers who view LLMs as components within a larger system—not just standalone models—and who think carefully about architecture, reliability, and cost
A senior mindset: someone who takes ownership, drives outcomes, and elevates the engineers around them
A strong bias toward production-ready, resilient, and observable AI applications
Genuine passion for the rapidly evolving landscape of agentic AI and next-generation software architectures
Comfortable working across cloud platforms and navigating ambiguity in a fast-moving consultancy environment

Benefits

Competitive base salary + performance incentives
Comprehensive benefits structure
Exposure to global clients, cutting-edge AI projects, and a fast-growing AI practice
Ongoing learning and development support

Senior AI Engineer - India