Malur Karnataka Support engineer Jobs – 118 Open Jobs Today

Senior Staff Engineer (Generative AI, Langchain + Langraph, Machine Learning)
Nagarro —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
11h
Lead I - AWS DevOps Engineering
UST —Bengaluru, Karnataka
- DevOps
- Master's degree
- AWS
Quick apply
Lead I - Software Engineering-UI Developer
UST —Bengaluru, Karnataka
- AWS
- Analysis skills
- JavaScript
Quick apply
12d
RTL practice head
UST —Bengaluru, Karnataka
- Master's degree
- Electrical experience
- Bachelor's degree
Quick apply
Software Quality Assurance_Embedded Testing
UST —Bengaluru, Karnataka
- Computer Science
- Master's degree
- C++
Quick apply
Developer II - Embedded Software
UST —Bengaluru, Karnataka
- Computer Science
- Master's degree
- Bachelor's degree
Quick apply
Project Lead II - VLSI
UST —Bengaluru, Karnataka
Quick apply
Lead II - Semiconductor S/W Product Development
UST —Bengaluru, Karnataka
- Computer Science
- Software troubleshooting
- Windows
Quick apply
Debug Tools Developer
UST —Bengaluru, Karnataka
- Computer Science
- C++
- Software development
Quick apply
10d
Sr. Network Security Engineer with ZTNA
BirlaSoft —Bengaluru, Karnataka
- Azure
- APIs
Sr. Network Security Engineer with Microsegmentation
BirlaSoft —Bengaluru, Karnataka
- Azure
- AWS
- APIs
Architect II - VLSI
UST —Bengaluru, Karnataka
Quick apply
Lead I - Software Testing (Python Automation)
UST —Bengaluru, Karnataka
- APIs
- Agile
- AI
Quick apply
1d
Developer III - Embedded Software
UST —Bengaluru, Karnataka
- Computer Science
- Master's degree
- Bachelor's degree
Quick apply
Senior Technical Architect
Clarivate —Bengaluru Urban District, Karnataka
- Full-time
- Hybrid work
- Azure
- Computer Science
- AWS
3d
Lead Cloud Architect- (AI Platforms)
UST —Bengaluru, Karnataka
- Azure
- AWS
- AI
Quick apply
Principal Data Scientist
Société Générale —Bengaluru, Karnataka
- Azure
- Computer Science
- DevOps
Generative AI Sr Lead
BirlaSoft —Bengaluru, Karnataka
- Azure
- Master's degree
- AWS
Senior Lead Data Scientist -AI
Société Générale —Bengaluru, Karnataka
- Azure
- Computer Science
- DevOps

More jobs to discover

Find similar jobs that you might be interested in.

Lead I - AWS DevOps Engineering
UST —Bengaluru, Karnataka
The candidate should be comfortable working with infrastructure automation, Kubernetes platforms, CI/CD pipelines, monitoring tools, and production environments…
Quick apply
AWS Devops Lead (Contract)
Saaki Argus & Averil Consulting —Bengaluru Rural District, Karnataka
Collaborate with engineering, infrastructure, security, and customer teams to resolve production issues. Drive RTB (Run-the-Business) programs with traffic…
Quick apply
6d

I want to receive the latest job alerts for support engineer in malur karnataka

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

support engineer jobs near malur karnataka

Principal Data Scientist jobs in Bengaluru, Karnataka

Devops Engineer jobs in Bengaluru, Karnataka

Lead Generation Specialist jobs in Bengaluru, Karnataka

Software Test Engineer jobs in Bengaluru, Karnataka

Senior Staff Engineer jobs in Bengaluru, Karnataka

Product Development Engineer jobs in Bengaluru, Karnataka

Senior Network Security Engineer jobs in Bengaluru, Karnataka

Cloud Architect jobs in Bengaluru, Karnataka

Developer jobs in Bengaluru, Karnataka

Software Engineer jobs in Bengaluru, Karnataka

Project Associate Biology jobs in Kerala

Remote Project Manager jobs in Bengaluru, Karnataka

Data Scientist jobs in Punjab

Principal Data Scientist jobs in Remote

Principal Data Scientist jobs in Hyderabad, Telangana

Principal Data Scientist jobs in Noida, Uttar Pradesh

Architect Ii jobs in Asangaon, Maharashtra

Architect Ii jobs in Panaji, GOA

Architect jobs in Delhi

Architect Ii jobs in Gopalpur, West Bengal

Senior Staff Engineer (Generative AI, Langchain + Langraph, Machine Learning)

Nagarro -
Bengaluru, Karnataka

Quick apply

Job details

Full-time
11 hours ago

Qualifications

Azure
Law
Computer Science
MCP
Enterprise Software
Git
Quality management
Master's degree
Databases
AWS
Quality assurance
Bachelor's degree
Machine learning
Version control systems
GitHub
APIs
Less (style sheet language)
Data science
AI
Communication skills
Debugging
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 (18000+ experts across 36 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

7.5 to 12 years of overall experience in Data Science, Machine Learning, and Artificial Intelligence.
Strong hands-on experience with Generative AI fundamentals, Large Language Models (LLMs), and Agentic AI systems.
Proven expertise in developing GenAI applications using LangChain, LangGraph, and associated ecosystem tools.
Experience designing and implementing Retrieval Augmented Generation (RAG) solutions, including retrieval, reranking, chunking, memory management, and context optimization.
Strong understanding of prompt engineering techniques, including instruction tuning, ReAct frameworks, reasoning strategies, planning loops, and self-reflection mechanisms.
Hands-on experience with LLM evaluation frameworks, model assessment, and GenAI quality measurement methodologies.
Experience using LangSmith for tracing, monitoring, debugging, evaluation, regression testing, and performance optimization of GenAI applications.
Strong knowledge of Vector Databases and Embeddings, including FAISS, Azure AI Search, OpenSearch, PGVector, or similar technologies.
Experience building intelligent agents, tool-calling agents, planner-executor frameworks, multi-agent systems, and hierarchical agent architectures.
Good understanding of memory architectures, including episodic memory, semantic memory, and long-term vector-based memory systems.
Experience integrating AI agents with APIs, enterprise applications, knowledge repositories, and external tools.
Strong foundation in classical Machine Learning concepts, including feature engineering, model development, hyperparameter tuning, and model evaluation.
Experience working with structured and unstructured datasets for predictive and analytical use cases.
Understanding of MLOps concepts, including model monitoring, data drift detection, concept drift analysis, and model quality management.
Hands-on experience with cloud platforms such as AWS, Azure, or Databricks.
Proficiency with version control systems and collaborative development tools such as Git and GitHub.
Strong problem-solving, analytical, communication, and stakeholder management skills.
Candidate should have an official notice period of 30 days or less and must be able to join within one month.

Responsibilities

Design, develop, and deploy enterprise-grade Generative AI and Agentic AI solutions using modern LLM frameworks and tools.
Build scalable GenAI applications leveraging LangChain, LangGraph, and related ecosystem technologies.
Design and implement advanced RAG architectures to improve response quality, grounding, and knowledge retrieval accuracy.
Develop and optimize prompt engineering strategies to enhance reasoning, planning, tool usage, and response generation capabilities.
Build intelligent agents capable of tool calling, workflow orchestration, task planning, and autonomous decision-making.
Develop multi-agent systems and agent collaboration frameworks for complex business workflows.
Implement memory-driven agent architectures supporting contextual awareness and long-term knowledge retention.
Create evaluation frameworks to measure performance, reliability, robustness, and business effectiveness of AI solutions.
Establish monitoring, tracing, testing, and observability frameworks using LangSmith and related tools.
Build and integrate Model Context Protocol (MCP) based services and external tool integrations.
Enable AI systems to interact with APIs, applications, code execution environments, and enterprise knowledge sources.
Apply Machine Learning techniques to solve business problems involving structured and unstructured data.
Perform model development, feature engineering, model optimization, validation, and performance analysis.
Collaborate closely with engineering, architecture, and cross-functional teams to productionize AI and ML solutions.
Ensure scalability, security, maintainability, and reliability of AI-powered applications.
Support MLOps initiatives, including model monitoring, drift detection, performance tracking, and continuous improvement.
Maintain comprehensive technical documentation, coding standards, and quality assurance practices throughout the development lifecycle.
Stay current with emerging trends, frameworks, tools, and best practices in Generative AI, Agentic AI, Machine Learning, and AI Engineering.

Qualifications

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

Quick apply

Refine Your Search

support engineer jobs in malur karnataka

Senior Staff Engineer (Generative AI, Langchain + Langraph, Machine Learning)

Lead I - AWS DevOps Engineering

Lead I - Software Engineering-UI Developer

RTL practice head

Software Quality Assurance_Embedded Testing

Developer II - Embedded Software

Project Lead II - VLSI

Lead II - Semiconductor S/W Product Development

Debug Tools Developer

Sr. Network Security Engineer with ZTNA

Sr. Network Security Engineer with Microsegmentation

Architect II - VLSI

Lead I - Software Testing (Python Automation)

Developer III - Embedded Software

Senior Technical Architect

Lead Cloud Architect- (AI Platforms)

Principal Data Scientist

Generative AI Sr Lead

Senior Lead Data Scientist -AI

More jobs to discover

I want to receive the latest job alerts for support engineer in malur karnataka

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected