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"agent engineer" Jobs in India

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Agent Engineer (Bengaluru)

Prodigal · Bengaluru

EntryFull-timeOnsite

About Prodigal Prodigal is the connected AI platform leading financial institutions use to run their operations. We work with banks, lenders, credit unions, and other financial companies that lend money to people and m

Discovered 2 weeks ago

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Senior Generative Engenier

Cadel ·

SeniorHybrid

Advanced AI Engineer — Global AI Agent Ecosystem & Complete Project Execution Company: Nova AI Position: Senior AI Agent Engineer / Autonomous Systems Architect Work Arrangement: 100% Remote Hiring Priority: Urgen

Skills

AI agent engineeringAI agent frameworksPython or other software developmentFrontend development

Discovered 4 days ago

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AI Operations Engineer- AI Agent, AI Tool

Cisco · Bengaluru

SeniorFull-timeOnsite

The application window is expected to close on: 02/27/2027 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team You will join the Cisco Mobili

Discovered 1 weeks ago

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GenAI Agent Platform Engineer/( LLM, Python)/Senior Associate Director

HSBC Holdings plc · Pune

DirectorOnsite

Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in

Discovered 2 weeks ago

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Sr./Lead QA Automation Engineer – AI Agent

SimCorp · Noida

LeadFull-timeOnsite

Sr./Lead QA Automation Engineer – AI Agent Are you a quality engineer who wants to build confidence in a fast-evolving AI agent — not just execute manual test cases? At SimCorp, we are developing an internal AI agent tha

Discovered 3 weeks ago

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Sr Software Engineer Gen AI

The Hartford · Hyderabad

SeniorFull-timeOnsite

IND Senior Software Engineer - GCC123 We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve y

Skills

Google Cloud Vertex AIGeminiAgent Development Kit (ADK)Agent Engine

Discovered 3 weeks ago

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Sr Staff Engineer, AI/ML Applications

Renesas Electronics · Bengaluru

SeniorFull-timeOnsite

Company Description: Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offe

Skills

vector databasesagent frameworksPythonReact.js

Discovered 3 weeks ago

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Sr Software Engineer - Gen AI

The Hartford · Hyderabad

SeniorFull-timeOnsite

IND Senior Software Engineer - GCC123 We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve y

Skills

Google Cloud Vertex AIGeminiAgent Development Kit (ADK)Agent Engine

Discovered 2 weeks ago

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Senior Workato Integration Engineer

Five9 ·

SeniorFull-timeRemote

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team

Skills

WorkatoREST APIsJSONXML

Discovered 2 days ago

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Regular AI Engineer

Luxoft · Bengaluru

MidFull-timeOnsite

Project description This position is attached to the production team and is responsible for defining cloud architecture direction, providing technical guidance, and ensuring that secure, scalable, resilient, and operable

Skills

MUST be with computer science academic background Must have 5+ years of experience as a AI Engineer by using Python o Full-stack development with strong Python expertise and API design capabilities o Hands-on experience with GenAI frameworks and tools (LangChain, LlamaIndex, Semantic Kernel, OpenAI API, Azure OpenAI or equivalent) o Understanding of AI agent orchestration and communication protocols (MCP, function calling, tool use) o Knowledge of data modelling, vector databases and RAG architectures o Containerization and orchestration (Docker, Kubernetes) in enterprise environments o CI/CD pipeline design and MLOps practices o Familiarity with cloud platforms (Azure preferred) and private cloud banking infrastructure o Understanding of IT workflows, software development lifecycle and DevOps practices — ability to identify where AI adds the most value o Proven track record of adapting open-source Large Language Models (LLMs) via techniques like LoRA, QLoRA, and full parameter fine-tuning is a plus o Advanced knowledge of Hugging Face libraries (transformers, peft, accelerate, datasets) for model training, evaluation, and deployment is a plus

Discovered 1 weeks ago

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Senior/Lead DevOps + MLOps Engineer

Luxoft · Noida

LeadFull-timeOnsite

Project description We are seeking a Senior DevOps / Platform Engineer with deep AWS expertise to evolve and operate our core cloud platform, while enabling Enterprise-grade Agentic AI capabilities on top of established

Skills

8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering roles. Deep, hands-on AWS expertise, including: EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda Strong understanding of VPC design, Security Groups, Route Tables, NACLs, and hybrid networking concepts. Ability to troubleshoot network connectivity issues, ingress/egress rules, and cloud security configurations. Strong production experience with Terraform, including: -Designing modular Terraform architectures -Managing state, environments, and multi-account setups Strong Linux administration skills: -User and permissions management -Process and service management -Package management -System troubleshooting Solid understanding of Linux commands and privilege escalation concepts (sudo, sudo su, sudoers). Hands-on scripting experience: -Python -Bash/Shell scripting Ability to automate operational tasks and troubleshooting workflows. Experience with container technologies: -Docker -Kubernetes (EKS preferred) -Container image lifecycle management and versioning/tagging strategies. Experience with artifact repositories: -JFrog Artifactory, Nexus or equivalent Understanding of image tagging, versioning, and promotion strategies. Proven experience rolling out Enterprise-grade Agentic AI infrastructure on top of existing platforms, including: -Supporting agent execution within established networking, security, and compliance boundaries -Enabling scalability, observability, and governance for agent behavior Hands-on experience supporting agentic SDLC tools and processes: -AI-assisted coding, testing, and deployment workflows -Agent-based automation within CI/CD and operational processes Experience with AWS AI services such as: Amazon Bedrock, SageMaker, Related AI/ML platform services. Solid understanding of Linux, networking, and cloud security fundamentals. Familiarity with MLOps or AI platform components Model serving, Vector databases, Feature stores

Discovered 3 weeks ago

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Senior/Lead DevOps + MLOps Engineer

Luxoft · Hyderabad

LeadFull-timeOnsite

Project description We are seeking a Senior DevOps / Platform Engineer with deep AWS expertise to evolve and operate our core cloud platform, while enabling Enterprise-grade Agentic AI capabilities on top of established

Skills

8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering roles. Deep, hands-on AWS expertise, including: EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda Strong understanding of VPC design, Security Groups, Route Tables, NACLs, and hybrid networking concepts. Ability to troubleshoot network connectivity issues, ingress/egress rules, and cloud security configurations. Strong production experience with Terraform, including: -Designing modular Terraform architectures -Managing state, environments, and multi-account setups Strong Linux administration skills: -User and permissions management -Process and service management -Package management -System troubleshooting Solid understanding of Linux commands and privilege escalation concepts (sudo, sudo su, sudoers). Hands-on scripting experience: -Python -Bash/Shell scripting Ability to automate operational tasks and troubleshooting workflows. Experience with container technologies: -Docker -Kubernetes (EKS preferred) -Container image lifecycle management and versioning/tagging strategies. Experience with artifact repositories: -JFrog Artifactory, Nexus or equivalent Understanding of image tagging, versioning, and promotion strategies. Proven experience rolling out Enterprise-grade Agentic AI infrastructure on top of existing platforms, including: -Supporting agent execution within established networking, security, and compliance boundaries -Enabling scalability, observability, and governance for agent behavior Hands-on experience supporting agentic SDLC tools and processes: -AI-assisted coding, testing, and deployment workflows -Agent-based automation within CI/CD and operational processes Experience with AWS AI services such as: Amazon Bedrock, SageMaker, Related AI/ML platform services. Solid understanding of Linux, networking, and cloud security fundamentals. Familiarity with MLOps or AI platform components Model serving, Vector databases, Feature stores

Discovered 3 weeks ago

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Senior/Lead DevOps + MLOps Engineer

Luxoft · Gurugram

LeadFull-timeOnsite

Project description We are seeking a Senior DevOps / Platform Engineer with deep AWS expertise to evolve and operate our core cloud platform, while enabling Enterprise-grade Agentic AI capabilities on top of established

Skills

8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering roles. Deep, hands-on AWS expertise, including: EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda Strong understanding of VPC design, Security Groups, Route Tables, NACLs, and hybrid networking concepts. Ability to troubleshoot network connectivity issues, ingress/egress rules, and cloud security configurations. Strong production experience with Terraform, including: -Designing modular Terraform architectures -Managing state, environments, and multi-account setups Strong Linux administration skills: -User and permissions management -Process and service management -Package management -System troubleshooting Solid understanding of Linux commands and privilege escalation concepts (sudo, sudo su, sudoers). Hands-on scripting experience: -Python -Bash/Shell scripting Ability to automate operational tasks and troubleshooting workflows. Experience with container technologies: -Docker -Kubernetes (EKS preferred) -Container image lifecycle management and versioning/tagging strategies. Experience with artifact repositories: -JFrog Artifactory, Nexus or equivalent Understanding of image tagging, versioning, and promotion strategies. Proven experience rolling out Enterprise-grade Agentic AI infrastructure on top of existing platforms, including: -Supporting agent execution within established networking, security, and compliance boundaries -Enabling scalability, observability, and governance for agent behavior Hands-on experience supporting agentic SDLC tools and processes: -AI-assisted coding, testing, and deployment workflows -Agent-based automation within CI/CD and operational processes Experience with AWS AI services such as: Amazon Bedrock, SageMaker, Related AI/ML platform services. Solid understanding of Linux, networking, and cloud security fundamentals. Familiarity with MLOps or AI platform components Model serving, Vector databases, Feature stores

Discovered 3 weeks ago

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Senior/Lead DevOps + MLOps Engineer

Luxoft · Bengaluru

LeadFull-timeOnsite

Project description We are seeking a Senior DevOps / Platform Engineer with deep AWS expertise to evolve and operate our core cloud platform, while enabling Enterprise-grade Agentic AI capabilities on top of established

Skills

8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering roles. Deep, hands-on AWS expertise, including: EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda Strong understanding of VPC design, Security Groups, Route Tables, NACLs, and hybrid networking concepts. Ability to troubleshoot network connectivity issues, ingress/egress rules, and cloud security configurations. Strong production experience with Terraform, including: -Designing modular Terraform architectures -Managing state, environments, and multi-account setups Strong Linux administration skills: -User and permissions management -Process and service management -Package management -System troubleshooting Solid understanding of Linux commands and privilege escalation concepts (sudo, sudo su, sudoers). Hands-on scripting experience: -Python -Bash/Shell scripting Ability to automate operational tasks and troubleshooting workflows. Experience with container technologies: -Docker -Kubernetes (EKS preferred) -Container image lifecycle management and versioning/tagging strategies. Experience with artifact repositories: -JFrog Artifactory, Nexus or equivalent Understanding of image tagging, versioning, and promotion strategies. Proven experience rolling out Enterprise-grade Agentic AI infrastructure on top of existing platforms, including: -Supporting agent execution within established networking, security, and compliance boundaries -Enabling scalability, observability, and governance for agent behavior Hands-on experience supporting agentic SDLC tools and processes: -AI-assisted coding, testing, and deployment workflows -Agent-based automation within CI/CD and operational processes Experience with AWS AI services such as: Amazon Bedrock, SageMaker, Related AI/ML platform services. Solid understanding of Linux, networking, and cloud security fundamentals. Familiarity with MLOps or AI platform components Model serving, Vector databases, Feature stores

Discovered 3 weeks ago

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