Karnataka Senior platform engineer (ai focused) Jobs – 530 Open Jobs Today

Senior Platform Engineer (AI Focused)
EarnIn —Bengaluru, Karnataka
- Computer Science
- Master's degree
- AWS
- Health insurance
- Cell phone reimbursement
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Senior Product Engineer - AI Agents (Healthcare)
100MS —Bengaluru, Karnataka
- ₹25,00,000 - ₹60,00,000 a year
- Hybrid work
- Computer science
- Azure
- Computer Science
Quick apply
Senior AI Engineer
Metaforms —Bengaluru, Karnataka
- Full-time
- Master's degree
- Project management
- AI
- Health insurance
Engineer/ Sr Engineer/ Lead Sr Enginner, AI Platform Development
Qualcomm —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Master's degree
Senior Platform Engineer I
Booking Holdings —Bengaluru, Karnataka
- Rotational shift
- English
- Java
- AWS
Senior AI/ML Engineer - LLM, RAG, Agentic AI
Optum —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Java
- Health insurance
13d
Senior AI ML Engineer with Python, AI Transformation Platform
DataArt —Bengaluru, Karnataka
- AWS
- Presentation skills
- Machine learning
12d
Senior Agentic AI Platform Engineer – MCP & Agent Runtime
ITOrizon —Bengaluru, Karnataka
- Email
- Azure
- Oracle
- Java
Founding Forward Deployed Engineer (India)
Cartesia —Bengaluru, Karnataka
- ₹70,00,000 - ₹90,00,000 a year
- Full-time
- English
- AWS
- Computer networking
- Health insurance
- Paid time off
Senior AI Engineer - LLM Evaluation
Autodesk —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
Senior AI Engineer
Persistent —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Master's degree
- Databases
- Flexible schedule
13d
Senior Applied Value Engineer
Celonis —Bengaluru, Karnataka
- Full-time
- Hybrid work
- English
- SQL
- Analysis skills
- Paid time off
Senior AI Engineer I
American Express —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- Databases
Senior AI Engineer
Xactly Corporation —Bengaluru, Karnataka
- Full-time
- Azure
- System design
- Java
- Commuter assistance
- Health insurance
Senior Software Engineer - AI/ML
LIFESIGHT TECHNOLOGIES PRIVATE LIMITED —Bengaluru, Karnataka
- Master's degree
- Databases
- AWS
- Health insurance
Quick apply
Senior Applied AI Engineer
Celonis —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Salesforce
- JavaScript
- Scripting
- Paid time off
11d
Senior AI Engineer
xponentiate —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Quick apply
Senior Engineering Manager
Talentsyker —Bangalore City, Bengaluru, Karnataka
- ₹30,00,000 - ₹45,00,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- HIPAA
Quick apply
11d
Senior AI Engineer
2070Health —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Quick apply
Senior AI Engineer
EPAM Systems, Inc. —Bengaluru, Karnataka
- Azure
- System design
- English
- Health insurance
- Paid time off

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Senior Platform Engineer (AI Focused)

EarnIn -
Bengaluru, Karnataka

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Job details

Benefits

Health insurance
Cell phone reimbursement

Qualifications

CI/CD
Go
Law
Computer Science
MCP
Kubernetes
Git
Master's degree
AWS
Bachelor's degree
Terraform
Continuous integration
GitHub
AI
Communication skills
Python

Full job description

About EarnIn

As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.

We're fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We're growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.

POSITION SUMMARY

As a Senior AI Platform Engineer, you will design, build, and operate AI-assisted capabilities within platform-owned infrastructure and developer tooling. You will work across Kubernetes, CI/CD, GitOps, observability, FinOps, and infrastructure-as-code to embed AI directly into the systems that power software delivery — from MCP servers, LLM Gateways, and agentic workflows to automated diagnostics and cost optimization.

You will join the Platform Engineering organization. The team's mission is to provide reliable, scalable tooling that helps engineers build, test, deploy, and operate software efficiently. In this role, you will split your time between standard platform engineering and AI engineering, with a focus on shipping production-grade AI-assisted workflows inside existing systems. This is a hands-on engineering role. Success is measured by real adoption and measurable improvements in developer efficiency, platform reliability, and operational cost.

This position will be a hybrid role based in our Bengaluru office, with 2 days on-site as part of our expanding site. EarnIn provides excellent benefits for our employees, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Mountain View HQ. Our salary ranges are determined by role, level, and location. We are unable to provide visa sponsorship or immigration support for this position. We are unable to provide visa sponsorship or immigration support for this position.

WHAT YOU'LL DO

Design and build MCP servers that expose platform capabilities as safe, well-scoped tools for AI agents and developer-facing assistants. Contribute to enterprise MCP patterns, LLM tooling, agentic guardrails, knowledge repositories, and framework rollout.
Design structured, agentic workflows for platform operations — incident triage, deployment validation, config remediation, capacity planning — and drive AI-assisted code review and developer tooling (e.g., CodeRabbit, Claude/Cursor) with tool-use, validation steps, and human-in-the-loop gates.
Operationalize LLM-based features inside platform tooling: structured prompting, RAG, output validation, and evaluation harnesses. Implement LLM gateway and router patterns to control costs, route models, and enable observability of AI workloads.
Design and evolve GitOps-based continuous delivery, Kubernetes infrastructure on AWS EKS, and infrastructure-as-code with Terraform, Helm, and Kustomize.
Strengthen observability, reliability, and operational excellence: SLOs, error budgets, metrics/traces/logs, and automation that improves MTTD/MTTR.
Extend the developer control plane with paved paths, scorecards, and self-service actions.
Instrument platform cost signals — compute, observability, and AI/LLM spend — and build FinOps automation that surfaces waste and supports cost-aware engineering decisions.
Define success metrics upfront and run time-bound experiments to evaluate impact on developer efficiency, reliability, and cost.
Document usage guidance, patterns, and best practices to support consistent adoption of proven AI workflows.

WHAT WE'RE LOOKING FOR

Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
4+ years in platform, infrastructure, or backend engineering with hands-on experience operating production systems in a cloud environment (AWS preferred).
Strong coding skills in Python and/or Go, with experience building and operating production services.
Deep experience with Kubernetes (EKS preferred), GitOps (Argo CD), CI/CD (GitHub Actions), and Terraform/Helm/Kustomize for infrastructure automation, service mesh..
Solid observability skills (Datadog APM/metrics/tracing/logs) with a track record of improving reliability and driving SLO/error-budget culture.
Hands-on experience building or integrating MCP servers — designing tool surfaces, managing scope and auth, and connecting AI agents to real infrastructure.
Practical experience with structured or agentic AI workflows (e.g., planning/execution separation, human-in-the-loop validation, RAG, tool-use patterns) used in production environments.
FinOps experience: cloud cost attribution, workload optimization, and AI/LLM spend control.
Familiarity with LLM gateway/router patterns for cost control, model routing, and observability of AI workloads.
Clear communication skills and the ability to collaborate effectively with partner teams in a distributed environment.
Experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, ChatGPT, or similar tools) as part of your software development workflow

#LI-Hybrid

At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.

EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.

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senior platform engineer (ai focused) jobs in karnataka

Senior Platform Engineer (AI Focused)

Senior Product Engineer - AI Agents (Healthcare)

Senior AI Engineer

Engineer/ Sr Engineer/ Lead Sr Enginner, AI Platform Development

Senior Platform Engineer I

Senior AI/ML Engineer - LLM, RAG, Agentic AI

Senior AI ML Engineer with Python, AI Transformation Platform

Senior Agentic AI Platform Engineer – MCP & Agent Runtime

Founding Forward Deployed Engineer (India)

Senior AI Engineer - LLM Evaluation

Senior AI Engineer

Senior Applied Value Engineer

Senior AI Engineer I

Senior AI Engineer

Senior Software Engineer - AI/ML

Senior Applied AI Engineer

Senior AI Engineer

Senior Engineering Manager

Senior AI Engineer

Senior AI Engineer

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