Bhandup, Mumbai, Maharashtra Sr java developer Jobs – 123 Open Jobs Today

Senior Staff Engineer (AI Full-stack Developer)
Nagarro —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Java
Quick apply
11h

Other jobs to consider

Find your next job by exploring related positions.

IN-Senior Associate_ Java/IT _Utility transformation _Advisory_MUMBAI
PwC —Shivaji Park, Mumbai, Maharashtra
Finalization of business requirements in coordination with stakeholders and manage delivery. Development and implementation of IT projects in power sector.
Sr. Software Engineer, MYSQL Database Developer
Affinity Global Advertising —Mumbai, Maharashtra
As a Senior Software Engineer, Database at SitePlug, you will play a key role in designing, developing, and optimizing large-scale databases and data pipelines…

I want to receive the latest job alerts for sr java developer in bhandup, mumbai, maharashtra

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

sr java developer jobs near bhandup, mumbai, maharashtra

Full Stack Developer jobs in Mumbai, Maharashtra

Full Stack Developer jobs in Dehradun, Uttarakhand

Full Stack Developer Startup jobs in Delhi

Full Stack Developer jobs in Gurugram, Haryana

Full Stack Developer jobs in Goa

Full Stack Developer jobs in Nikol, Ahmedabad, Gujarat

Mean Stack Developer jobs in Ahmedabad, Gujarat

Full Time jobs in Bilaspur, Chhattisgarh

Senior Staff Engineer (AI Full-stack Developer)

Nagarro -
Mumbai, Maharashtra

Quick apply

Job details

Full-time
11 hours ago

Qualifications

CI/CD
Azure
Law
Computer Science
CSS
React
Full-stack development
Software deployment
Git
Java
Master's degree
Microservices
AWS
Analysis skills
Docker
Cloud security
Bachelor's degree
JavaScript
Terraform
Continuous integration
REST
Software development
APIs
SIEM
Linux
Flask
AI
Communication skills
Python
HTML
Identity & access management
Information Technology

Full job description

Company Description

We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

Requirements

Experience : 7.5+ years
Relevant experience in software development, AI/ML engineering, or applied AI with hands-on experience building production-grade AI applications.
Strong expertise in React for developing modern, responsive, and interactive web applications.
Proficiency in Java and/or Python with hands-on experience building backend services, REST APIs, and AI-driven applications.
Experience working with LLM platforms such as OpenAI, Anthropic, Azure OpenAI, or similar foundation models.
Hands-on experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines, including embeddings, vector databases, chunking strategies, retrieval optimization, and grounding techniques.
Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, LangGraph, Haystack, or equivalent.
Strong knowledge of prompt engineering, structured outputs, function calling, tool integration, and agentic AI workflows.
Experience developing AI services using FastAPI, Flask, or similar backend frameworks.
Knowledge of HTML, CSS, JavaScript, asynchronous programming, testing frameworks, and API development.
Experience with LLM evaluation frameworks such as RAGAS, DeepEval, Promptfoo, LangSmith, or equivalent.
Familiarity with Git, CI/CD pipelines, Docker, Linux, and software deployment practices.
Working knowledge of at least one cloud platform such as Azure, AWS, or GCP.
Basic understanding of infrastructure security concepts, including vulnerabilities, IAM, logging, access controls, and cloud security best practices.
Understanding of responsible AI principles, including prompt injection prevention, data privacy, hallucination mitigation, output validation, and content filtering.
Familiarity with SIEM platforms, security monitoring tools, Infrastructure as Code (Terraform or Bicep), and vulnerability management concepts is an advantage.
Strong analytical, troubleshooting, communication, and problem-solving skills with the ability to work collaboratively in cross-functional teams.
Relevant cloud, AI, or security certifications are an added advantage.

Responsibilities

Design, develop, and deploy AI-powered applications and intelligent assistants using Large Language Models (LLMs) to automate security and enterprise workflows.
Build scalable React-based user interfaces and dashboards for AI-driven applications and enterprise automation solutions.
Develop backend services, REST APIs, and orchestration layers using Java and/or Python to support AI capabilities.
Design and implement end-to-end Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, embeddings, vector storage, retrieval optimization, and contextual response generation.
Integrate enterprise AI solutions with LLM providers such as OpenAI, Anthropic, Azure OpenAI, and other commercial or open-source models.
Develop prompt templates, system prompts, structured outputs, and agentic workflows to improve AI accuracy and user experience.
Build AI microservices and APIs that integrate with enterprise applications, security tools, monitoring platforms, ticketing systems, and operational workflows.
Implement evaluation frameworks, regression testing, and performance monitoring to continuously improve model quality, latency, reliability, and operational efficiency.
Apply responsible AI practices by implementing security controls, prompt injection protection, PII masking, access controls, audit logging, and output validation.
Automate AI operational tasks including data preparation, embedding refresh, model evaluation, health monitoring, and deployment processes.
Collaborate with engineering, DevOps, infrastructure, security, and business teams to design and deliver scalable AI-powered solutions.
Participate in code reviews, testing, debugging, documentation, and production support activities to ensure high-quality software delivery.
Continuously evaluate emerging AI technologies, frameworks, and best practices to enhance enterprise AI capabilities and accelerate innovation.
Ensure AI applications are scalable, secure, maintainable, and aligned with enterprise architecture, governance, and compliance standards.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Quick apply

Refine Your Search

sr java developer jobs in bhandup, mumbai, maharashtra

Senior Staff Engineer (AI Full-stack Developer)

Other jobs to consider

I want to receive the latest job alerts for sr java developer in bhandup, mumbai, maharashtra

Related Searches

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected