Badlapur, Maharashtra Senior ai engineer india Jobs – 31 Open Jobs Today

Senior AI Engineer - India
NowVertical —Navi Mumbai, Maharashtra
- Azure
- Master's degree
- AWS
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1d
Senior Software Engineer, AI Enablement
Morningstar —Navi Mumbai, Maharashtra
- Full-time
- Hybrid work
- Computer Science
- English
- Databases
Senior Software Engineer
Morningstar —Navi Mumbai, Maharashtra
- Full-time
- Hybrid work
- Microsoft Excel
- Computer Science
- Databases
Senior Devops Engineer
Morningstar —Navi Mumbai, Maharashtra
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Windows
Senior Automation Engineer
QualityKiosk Technologies —Navi Mumbai, Maharashtra
- English
- Java
- SQL
14d
Senior Test Engineer
QualityKiosk Technologies —Navi Mumbai, Maharashtra
- Java
- SQL
- JavaScript
12d
Senior Agentic Engineer
Dentsu —Thane District, Maharashtra
- Full-time
- Azure
- Databases
- APIs
5d
Senior Machine Learning Engineer
Morningstar —Navi Mumbai, Maharashtra
- Full-time
- Hybrid work
- Azure
- Computer Science
- System design
Senior Software Engineer - Full Stack Developer
IRIS Business Services Ltd —Navi Mumbai, Maharashtra
- Engineering
- Master's degree
- Databases
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Senior Software Engineer
IRIS Business Services Ltd —Navi Mumbai, Maharashtra
- SQL
- JavaScript
- Scripting
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Process Engineer
Schlumberger —Navi Mumbai, Maharashtra
- Microsoft Excel
- English
- Presentation skills
AI Lead Engineer
Dentsu —Thane District, Maharashtra
- Full-time
- Management
- AI
Software Engineer
Morningstar —Navi Mumbai, Maharashtra
- Full-time
- Hybrid work
- Computer Science
- English
- Databases
Senior Data Engineer
Dentsu —Thane District, Maharashtra
- Full-time
- Computer Science
- SQL
- Analysis skills
6h
Engineering Manager, Enterprise Data Platform
Morningstar —Navi Mumbai, Maharashtra
- Full-time
- Hybrid work
- Azure
- Management
- Computer Science
Business Development Engineer
PM Tech Enterprises —Navi Mumbai, Maharashtra
- ₹7,00,000 - ₹9,50,000 a year
- Full-time
- Engineering
- Microsoft Office
- Master's degree
Quick apply
3d
Automation Test Engineer
QualityKiosk Technologies —Navi Mumbai, Maharashtra
- SQL
- AI
- Python
Principal Engineer (Golang)
Forcepoint Software Consulting India Private Limited —Thane District, Maharashtra
- Email
- Java
- SQL
- AWS
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Sr. Researcher AI
Forcepoint Software Consulting India Private Limited —Thane District, Maharashtra
- Email
- Computer Science
- Research
- Windows
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Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely…

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Senior AI Engineer - India

NowVertical
Navi Mumbai, Maharashtra

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Job details

1 day ago

Qualifications

CI/CD
Azure
Go
Node.js
Law
Kubernetes
Software deployment
Master's degree
AWS
Docker
Terraform
Continuous integration
SDKs
Back-end development
APIs
ETL
AI
Python
Debugging
Design patterns

Full job description

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...

1. 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.

2. 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.

3. 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.

4. 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.

5. 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 (Nice to Have)

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

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senior ai engineer india jobs in badlapur, maharashtra

Senior AI Engineer - India

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Senior Automation Engineer

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Engineering Manager, Enterprise Data Platform

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