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Hybrid: AI Focus Software Developer

J-RAM IT Consulting Inc.

Hybrid in Palo Alto, California • Yesterday

Easy Apply

Contract

Depends on Experience

AI Focus Python Developer

UnivEdge Consulting LLC

Hybrid in Palo Alto, California • Today

Easy Apply

Contract

Depends on Experience

Software Engineer/Developer (AI Focus) -

Pyramid Systems, Inc.

Remote • 3d ago

Easy Apply

Full-time

$165,000 - $195,000

Java Lead Software Engineer with AI -Hybrid

HPTech Inc.

Hybrid in Oakland, California • 2d ago

Easy Apply

Contract

Depends on Experience

AI/ML Software Developer

CATHEXIS

Redwood City, California • Today

Full-time

USD 137,448.00 - 167,256.00 per year

Data Science Chief Expert, Domain Models

SAP Americas, Inc.

Palo Alto, California • 29d ago

Full-time

Senior AI Developer (Palantir AI Platform)

Vaco by Highspring

Remote • 15d ago

Easy Apply

Full-time

Depends on Experience

2027 Summer Intern - Research and Development - AI/Machine Learning

General Motors

Mountain View, California • Today

Full-time

USD 10,300.00 - 13,600.00 per month

On-Device ML Infrastructure Engineer (CoreML Runtime), Graphics, Games and Machine Learning

Apple, Inc.

Cupertino, California • Today

Full-time

Entry-Level - AI/Machine Learning Researcher

General Motors

Mountain View, California • Today

Full-time

USD 128,000.00 - 279,000.00 per year

Senior Machine Learning Engineer - Research & Innovation Team

SAP Americas, Inc.

Palo Alto, California • 29d ago

Full-time

AI Enabled Full-Stack Software Engineer

Nityo Infotech Corporation

Santa Clara, California • Today

Easy Apply

Part-time, Third Party

$60 - $100

Senior Machine Learning Engineer - ML Training Infrastructure

General Motors

Sunnyvale, California • Today

Full-time

USD 170,000.00 - 240,800.00 per year

Sr Software Engineer (Java) - Business Process Reengineering (BPR) and Sales Engineering

Apple, Inc.

Cupertino, California • Today

Full-time

Software Engineer, ML Infrastructure, Core Inference, Level 4

Snapchat

Palo Alto, California • Today

Full-time

USD 157,000.00 - 235,000.00 per year

Software Engineer, ML infrastructure, Core Inference, Level 4

Snapchat

Palo Alto, California • Today

Full-time

USD 157,000.00 - 235,000.00 per year

Senior Machine Learning Engineer

Adobe Systems

San Jose, California • 13d ago

Full-time

USD 142,700.00 - 270,950.00 per year

Software Engineer, ML Infrastructure, Level 5

Snapchat

Palo Alto, California • Today

Full-time

USD 209,000.00 - 313,000.00 per year

Senior Java Developer (Spring Boot & Microservices)

Randstad Digital

Remote or Auburn, Washington • Today

Contract

USD54 - USD64

2027 Summer Intern - AI/ML Engineer, Autonomous Vehicles: Simulation (PhD)

General Motors

Sunnyvale, California • Today

Full-time

USD 12,300.00 - 14,600.00 per month

Python Full Stack Developer with Agentic AI Experience

AgreeYa Solutions

Fremont, California • Yesterday

Easy Apply

Contract

Depends on Experience

(USA) Senior, Machine Learning Engineer

Walmart Inc.

Sunnyvale, California • Today

Full-time

USD 143,000.00 - 286,000.00 per year

Data Science Chief Expert, Supply Chain Management

SAP Americas, Inc.

Palo Alto, California • 29d ago

Full-time

Staff AI Research Engineer - Digital Health

Samsung Electronics America

Mountain View, California • Today

Full-time

USD 184,600.00 - 253,550.00 per year

Principal Machine Learning Engineer

PaloAlto Networks

Santa Clara, California • Today

Full-time

USD 163,200.00 - 264,000.00 per year

Forward Deployed Engineer

VAST Data

Campbell, California • Today

Full-time

Forward Deployed Engineer

VAST Data

San Jose, California • Today

Full-time

Senior Software Engineering Manager - Multi-Object Tracking & State Estimation

Latitude

Palo Alto, California • Today

Full-time

USD 253,120.00 - 379,680.00 per year

2027 Intern - Machine Learning Engineer

Adobe Systems

San Jose, California • Today

Full-time

USD 45.00 - 55.00 per hour

Senior Staff AI Security Engineer

ServiceNow, Inc.

Santa Clara, California • Today

Full-time

USD 190,900.00 - 334,100.00 per year

Job Details

Skills

Python/Go
Kubernetes
AWS/GCP
Terraform
LLM

Summary

About the Team:

The Enterprise AI team is our internal AI enablement engine. We evaluate where AI can make a real difference, build the platforms and patterns that make adoption easy, and help engineering teams across the organization work smarter and faster. We operate at the intersection of applied AI, distributed systems, and enterprise operations — our job is to make our company more efficient, one AI-powered workflow at a time. This is a high-impact, high-autonomy team where you’ll work closely with engineering, product, and operations teams across the company to bring AI capabilities to life.

About the Role:

We’re hiring a Sr. Software Developer to design, build, and operate the platform and backend systems that power our company at scale. You’ll own core infrastructure — from Kubernetes and cloud-native services to APIs and developer tooling — and work closely with product, AI, and security teams. This is a hands-on, high-ownership role where you write production code, design systems, lead code reviews, and make the engineering organization more effective.

What You’ll Do:

Own end-to-end delivery of major platform initiatives, from design through deployment and post-launch success.
Own Kubernetes at depth — clusters, networking, operators, container lifecycle, and multi-tenant orchestration.
Design, develop, and optimize distributed services and cloud-native infrastructure on AWS and/or Google Cloud Platform for scale, reliability, and performance.
Drive engineering excellence through code quality standards, design reviews, automation, and CI/CD best practices.
Collaborate across teams — Product, AI, and Security — to align architecture with business objectives.
Be a mentor and multiplier, guiding engineers through architecture decisions, trade-offs, and delivery.
Partner with leadership to align engineering strategy with product objectives and technical roadmap.

What We’re Looking For:

6+ years of software engineering with deep backend and infrastructure focus.
Strong programming skills in Python and/or Go — you ship production code, not just scripts and configs.
Deep, hands-on Kubernetes experience — building and operating clusters, not just deploying to them.
Proven experience designing and operating distributed systems in production.
Cloud-native fluency across AWS and/or Google Cloud Platform — compute, storage, IAM, networking, and managed services.
Experience with infrastructure-as-code (Terraform or similar) and CI/CD pipelines.
Familiarity with applied AI tooling and patterns — agentic AI tools (Claude, LiteLLM), AI gateways, agent frameworks — and being able to build backend services that integrate with them.
Strong system design and architectural judgment.
Clear communicator who partners well across product, security, and AI teams.

Nice to Have:

Observability stacks — Prometheus, Grafana, Datadog, OpenTelemetry.
Multi-cloud or hybrid infrastructure experience (AWS, Google Cloud Platform, on-prem).
Familiarity with API gateways, AI gateways, and policy/authorization frameworks (ABAC, OPA).
Service mesh or platform-as-a-service design experience.
Track record of improving engineering productivity at scale.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91173765
Position Id: hybaifcsd
Posted 1 day ago

Fitment

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Contact the job poster

John Kasukurthi

Recruiter @ J-RAM IT Consulting Inc.

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Job Details

Skills

Python/Go
Kubernetes
AWS/GCP
Terraform
LLM

Summary

About the Team:

About the Role:

What You’ll Do:

Own end-to-end delivery of major platform initiatives, from design through deployment and post-launch success.
Own Kubernetes at depth — clusters, networking, operators, container lifecycle, and multi-tenant orchestration.
Design, develop, and optimize distributed services and cloud-native infrastructure on AWS and/or Google Cloud Platform for scale, reliability, and performance.
Drive engineering excellence through code quality standards, design reviews, automation, and CI/CD best practices.
Collaborate across teams — Product, AI, and Security — to align architecture with business objectives.
Be a mentor and multiplier, guiding engineers through architecture decisions, trade-offs, and delivery.
Partner with leadership to align engineering strategy with product objectives and technical roadmap.

What We’re Looking For:

6+ years of software engineering with deep backend and infrastructure focus.
Strong programming skills in Python and/or Go — you ship production code, not just scripts and configs.
Deep, hands-on Kubernetes experience — building and operating clusters, not just deploying to them.
Proven experience designing and operating distributed systems in production.
Cloud-native fluency across AWS and/or Google Cloud Platform — compute, storage, IAM, networking, and managed services.
Experience with infrastructure-as-code (Terraform or similar) and CI/CD pipelines.
Familiarity with applied AI tooling and patterns — agentic AI tools (Claude, LiteLLM), AI gateways, agent frameworks — and being able to build backend services that integrate with them.
Strong system design and architectural judgment.
Clear communicator who partners well across product, security, and AI teams.

Nice to Have:

Observability stacks — Prometheus, Grafana, Datadog, OpenTelemetry.
Multi-cloud or hybrid infrastructure experience (AWS, Google Cloud Platform, on-prem).
Familiarity with API gateways, AI gateways, and policy/authorization frameworks (ABAC, OPA).
Service mesh or platform-as-a-service design experience.
Track record of improving engineering productivity at scale.

Dice Id: 91173765
Position Id: hybaifcsd
Posted 1 day ago

Fitment