Remote Software engineer ai platform & cloud services Jobs – 188 Open Jobs Today

Software Engineer | AI Platforms
SingleStore —Remote
- Remote
- Master's degree
- Databases
- SQL
Quick apply
AI/ML Engineer / Python
Delphic —Remote
- ₹10,00,000 - ₹16,00,000 a year
- Full-time
- Remote
- Azure
- Master's degree
- SQL
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3d
Full Stack Engineer (Fresher)
ResuPulse —Remote
- ₹4,00,000 - ₹4,50,000 a year
- Full-time
- Remote
- Computer Science
- Master's degree
- Databases
- Paid time off
- Work from home
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11h
ML Engineer
Expertshub.ai —Remote
- ₹20,00,000 - ₹40,00,000 a year
- Remote
- Azure
- Java
- AWS
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Software Engineer – Integrations & Interfaces
openDoctor —Remote
- ₹15,00,000 - ₹22,00,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- Java
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Software Engineer 4
Granicus India —Remote
- Full-time
- Remote
- Azure
- Databases
- Software development
2h
Python Developer
Cyptrix —Remote
- ₹1,00,000 a month
- Full-time
- Remote
- Azure
- Computer Science
- Databases
- Work from home
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4d
Artificial Intelligence Engineer
Destm Technologies —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
- Health insurance
- Paid time off
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4d
Staff Platform Engineer
Loti AI —Remote
- Full-time
- Remote
- Computer Science
- Master's degree
- Databases
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Staff Systems Engineer- Infrastructure (Employer of Record)
Credit Acceptance —Remote
- ₹34,17,563 - ₹50,12,426 a year
- Full-time
- Remote
- Management
- Computer Science
- Windows
Software Development Engineer III - Platform
HighLevel —Remote
- Remote
- APIs
- Communication skills
Software Engineer III
Spreetail —Remote
- Email
- Remote
- System design
- Windows
- Java
- Paid time off
- Work from home
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8d
Senior AI Security Engineer (Employer of Record)
Credit Acceptance —Remote
- ₹37,99,593 - ₹55,72,735 a year
- Full-time
- Remote
- Azure
- Master's degree
- AWS
System Engineer
sahaj software solutions private limited —Remote
- ₹1,50,000 - ₹2,00,000 a month
- Full-time
- Remote
- Software troubleshooting
- APIs
- AI
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4d
AI Engineer | Python | AI Agents | Machine Learning | Full Stack | Remote
E Edge Technology —Remote
- Full-time
- Remote
- Computer Science
- SQL
- AWS
- Work from home
- Flexible schedule
Technical Project Manager (Business Analysis & Delivery)
Antsglobe Technologies LLP —Remote
- ₹40,000 - ₹50,000 a month
- Full-time
- Remote
- Azure
- Computer Science
- PMP
- Paid time off
- Work from home
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13d
Applied Machine Learning / Computer Vision Engineer
Code Driven Labs —Remote
- ₹4,00,000 - ₹8,00,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
- Flexible schedule
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5d
Senior Full Stack Engineer
NestorBird —Remote
- ₹60,000 - ₹16,00,000 a month
- Full-time
- Remote
- Master's degree
- SQL
- AWS
- Work from home
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Lead Software Engineer (Full Stack & AI) (Remote, Full-Time) [AS251]
Smart Working Solutions —Remote
- Full-time
- Remote
- DevOps
- Master's degree
- Mentoring
- Health insurance
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Junior Full Stack Developer
Bao Bao Pte Ltd. —Remote
- Up to ₹4,08,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- Databases
- Work from home
- Paid sick time
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7d

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Software Engineer | AI Platforms

SingleStore -
Remote

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Job details

Qualifications

CI/CD
Cloud infrastructure
Go
Law
MCP
Kubernetes
Master's degree
Databases
SQL
RBAC
Machine learning
Distributed systems
Continuous integration
APIs
SaaS
AI
Python
Debugging

Full job description

About SingleStore

At SingleStore, we're not just building a database company, we're defining the future of data management. Going beyond multi-cloud, we offer customers flexible networking, storage, and compute options to meet their requirements. With a few clicks, our cloud service spins up production grade infrastructure using the latest capabilities of major cloud providers and the industry standard Kubernetes ecosystem.

As data systems evolve, the "database" is no longer just where queries run, it's becoming the foundation for realtime AI applications: retrieval, reasoning, agent workflows, and intelligent automation over enterprise data. That's the direction we're building toward.

About the AI Platform Team

We build the software platform that powers AI native experiences across SingleStore: AI/ML capabilities, agent runtimes, tool integration, and the operational layer required to run these systems reliably at scale. Our work sits at the intersection of distributed systems, cloud infrastructure, and practical applied AI.

This team is not "pure research", it's engineering heavy. You'll build product grade systems that let customers safely and reliably use AI on their data.

Role Summary

We are looking for a Software Engineer to design and implement core platform capabilities for AI/ML and AI Agents in SingleStore Cloud. You'll work on services that enable model/tool orchestration (e.g. MCP style tool discovery and execution), agent workflows, retrieval pipelines (embeddings/vector search), evaluation/observability, and secure multi tenant operations.

You will likely find yourself using Go and Python, Kubernetes, cloud primitives, and the right tools for the job, while applying solid AI/ML fundamentals to make correct engineering decisions.

Role and Responsibilities

Build and evolve backend services that power AI features: agent orchestration, tool execution, retrieval/RAG pipelines, and model serving integrations.
Design APIs and control plane workflows for AI platform components (tenant-aware, secure by default, observable).
Implement MCP style tool discovery / integration patterns so agents can safely call tools, connectors, and internal services.
Work closely with product managers, designers, customers, and partner engineering teams to deliver high quality AI experiences.
Engineer for reliability and scale: latency, cost controls, rate limiting, fallbacks, rollouts, and incident response readiness.
Establish best practices around evaluation: offline test sets, regression detection, prompt/model/version tracking, and quality gates.
Contribute to secure AI by design approaches: permissions, data access boundaries, prompt injection defenses, and auditability.
Mentor junior engineers and contribute to a welcoming, high ownership team environment.

Required Skills and Experience

This is a software engineering role that requires strong fundamentals plus working knowledge of AI/ML concepts.

Strong software engineering skills with experience in distributed systems (Go, Python, or similar).
Experience building cloud native services: Kubernetes, containers, service-to-service APIs, CI/CD.
4+ years of experience working on a SaaS product or production platform.
Solid understanding of AI/ML fundamentals (you don't need to be a researcher, but you should understand concepts well enough to build correct systems):
- Supervised learning basics (training vs inference, overfitting, evaluation metrics, classification, anomaly detection, forecasting, regression etc.)
- LLM basics (tokens, context windows, prompting, tool/function calling concepts)
- Embeddings + vector search fundamentals (similarity, indexing tradeoffs, retrieval pitfalls)
Strong debugging and problem-solving skills, including incident-style troubleshooting across services and infrastructure.
Intellectual curiosity about investigating issues that impact product quality, reliability, latency, and business metrics.
Passion for building robust, maintainable systems in a fast-paced, team-oriented environment.

Nice to Have (Preferred)

Hands on experience with AI agents and orchestration frameworks (tool calling, workflows, planners/executors).
Practical experience with RAG systems, reranking, grounding, and evaluation strategies.
Experience with model serving patterns (batch/online inference, caching, streaming responses).
Knowledge of security considerations for AI systems (data isolation, RBAC, prompt injection threats, audit logs).
Familiarity with vector databases or vector capabilities in modern data platforms.
Experience with observability stacks (structured logging, metrics, tracing) and SLO driven engineering.

Tech Stack

Go, Python, Kubernetes, cloud infrastructure, distributed systems, APIs, and modern AI tooling (LLM providers, embeddings, retrieval systems, eval/observability pipelines), ML tooling.

SingleStore delivers the cloud-native database with the speed and scale to power the world's data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv.

Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.

To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.

SingleStore values individuals for their unique skills and experiences, and we're proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses.

Req ID: ENG00458

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