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150 results (4 new)

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Senior Full Stack Engineer – AI

J-RAM IT Consulting Inc.

Palo Alto, California • Today

Easy Apply

Third Party, Contract

Depends on Experience

Senior Fullstack Engineer

GlobalLogic Inc.

Hybrid in Santa Clara, California • Today

Easy Apply

Full-time

$135,000 - $140,000

Senior Full Stack Engineer - AI Innovation

Taskrabbit

San Francisco, California • Today

Full-time

USD 130,000.00 - 180,000.00 per year

Senior Full Stack Engineer, Hazel AI

Altruist

San Francisco, California • 8d ago

Full-time

USD 200,000.00 - 265,000.00 per year

Senior Full-Stack Engineer

Scribe

Remote or San Francisco, California • Today

Full-time

USD 150,000.00 - 240,000.00 per year

Senior Full Stack Engineer

Dealpath

San Francisco, California • Today

Full-time

USD 161,000.00 - 210,000.00 per year

Senior Full Stack Engineer

Atlassian Inc.

Remote or San Francisco, California • Today

Full-time

USD 221,187.00 - 235,000.00 per year

Sr AI Full Stack Engineer

Acunor Infotech

Palo Alto, California • Today

Easy Apply

Third Party

Senior Full Stack Engineer

804 Technology

Remote • 27d ago

Easy Apply

Full-time

160000 - 195000

Senior Full Stack Engineer

Kforce Technology Staffing

Remote or Orlando, Florida • Today

Contract, Third Party

$60 - $65 hourly

Senior Full Stack Engineer

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Contract

Senior Full Stack Engineer

Canopy

Remote or Utah • Today

Full-time

Senior Full Stack Engineer

Cherokee Federal

Remote • Today

Full-time

USD 140,000.00 - 160,000.00 per year

Senior Full Stack Engineer

Bugcrowd

Remote • Today

Full-time

USD 140,400.00 - 175,500.00 per year

Sr. Full Stack Engineer

KeyCorp

Remote • Today

Full-time

USD 80,000.00 - 150,000.00 per year

Sr. Full-Stack Engineer

Culmen International LLC

Remote or Alexandria, Virginia • Today

Full-time

Full Stack Agentic AI Senior Engineer - AIaaS

Accenture LLP

Mountain View, California • Today

Full-time

USD 132,500.00 per year

Senior Full-stack Engineer

EPAM Systems

Remote or New York, New York • Today

Full-time

Senior Full-stack Engineer

EPAM Systems

Remote • Today

Full-time

Senior Manager – Full Stack Engineering (Python, AWS & AI)

Tranzeal, Inc.

Remote • 3d ago

Easy Apply

Full-time

Depends on Experience

Senior / Staff Full-Stack AI Engineer

Suno

San Francisco, California • Today

Full-time

USD 228,000.00 - 363,000.00 per year

Senior Fullstack Software Engineer, AI Observability & Evals Platform (NY)

LangChain, Inc

San Francisco, California • Today

Full-time

USD 175,000.00 - 240,000.00 per year

Senior Software Engineer, Backend Full Stack - Financial AI Product

Rippling

San Francisco, California • Today

Full-time

USD 168,000.00 - 280,000.00 per year

Full Stack AI Systems Engineer

Apple, Inc.

Sunnyvale, California • Today

Full-time

Fullstack Software Engineer / TypeScript / Golang / AI Security

Motion Recruitment Partners, LLC

Sunnyvale, California • Today

Easy Apply

Full-time

$210000 - $240000

Full Stack Engineer, AI Systems, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$140,000 - $190,000

Full Stack Engineer- AI

DivIHN Integration Inc.

Palo Alto, California • 5d ago

Easy Apply

Contract, Third Party

$55 - $82

Full Stack Engineer (Python, AI/LLM)

Apton Inc

San Francisco, California • 6d ago

Easy Apply

Full-time

Depends on Experience

Full Stack Engineer - AI Marketplace

Loft Orbital Solutions

San Francisco, California • Today

Full-time

USD 140,000.00 - 210,000.00 per year

Senior Engineer, Physical Design AI/ML

Samsung Electronics America

San Jose, California • Today

Full-time

USD 138,000.00 - 206,000.00 per year

Job Details

Skills

Artificial Intelligence
Backend Development
Python
AI agents
Software Engineering
LLM
APIs

Summary

Onsite, Palo Alto HQ, CA

Long Term

*** Must be a local resource & be flexible to attend In-person interview ***

Role Summary

We are looking for an experienced AI Agent Engineer with strong backend software engineering skills and hands-on experience building and deploying production-grade AI agents and agent-powered applications.

The ideal candidate should have a strong builder mindset, capable of understanding complex business workflows, translating them into agentic solutions, and owning the development of reliable, scalable production systems.

The primary focus of this role is building AI agents and multi-agent workflows using code, LLM APIs, and agent frameworks, rather than traditional software engineering alone. Candidates should be comfortable working through ambiguity, defining solutions, and taking ownership from discovery through deployment and continuous improvement.

What You'll Do

Work alongside Product Managers and domain experts to understand business workflows, identify problems, define requirements, and establish success criteria for agentic solutions.
Design, build, test, and deploy production-grade AI agents, automations, and internal tools using LLM APIs, coding agents, and agent frameworks.
Build multi-agent workflows that automate complex business processes, enabling agents to make decisions, execute tasks, and coordinate through defined workflows and handoffs.
Develop reliable agent orchestration, including tool integrations, context management, state management, retries, caching, and failure handling.
Build and maintain backend services, APIs, integrations, and data models to support agent-powered applications.
Integrate AI agents with internal platforms, business systems, and external tools through APIs and other integrations.
Implement evaluation frameworks, guardrails, quality checks, and human-in-the-loop approvals to ensure reliability and accuracy.
Follow strong software engineering practices, including version control, code reviews, automated testing, CI/CD, monitoring, and staged deployments.
Monitor production agent performance, identify areas for improvement, and continuously optimize agent workflows based on measurable outcomes.

Experience You'll Need (Must-Haves)

Around 7+ years of professional software engineering experience, particularly in backend development and production systems.
Around 2+ years of hands-on experience building AI agents and agent-powered production applications using code.
Strong experience with LLM APIs, agent frameworks, and multi-agent orchestration.
Proven experience designing, developing, and deploying production-grade backend services, REST APIs, integrations, and data models.
Experience building reliable AI agent workflows with tool calling, context and state management, error handling, and evaluation mechanisms.
Strong understanding of system design, algorithms, data structures, access control, and scalable application architecture.
Experience taking ownership of solutions end to end, from understanding requirements and designing workflows to implementation, deployment, and production support.
Ability to work through ambiguity, communicate proactively, clarify requirements, and collaborate with stakeholders.
A strong builder mindset with the ability to measure outcomes such as time saved, errors reduced, and process efficiency improved.

Software Engineering Skills

Strong backend development experience using Python.
Experience building REST APIs using FastAPI or Flask.
Strong understanding of system design, API design, data modeling, and scalable architectures.
Experience with relational databases such as PostgreSQL, MySQL, or SQL Server.
Understanding of schema design, joins, indexing, and query optimization.
Experience with Git, code reviews, automated testing, CI/CD, and production monitoring.
Ability to translate ambiguous requirements into clear technical designs and implementation plans.

AI Agent Engineering Skills

Hands-on experience building AI agents using LLM APIs, SDKs, and agent frameworks.
Experience designing and implementing multi-agent orchestration and agent workflows.
Strong understanding of tool calling, context management, state management, and agent execution.
Experience integrating agents with APIs, business systems, and external tools.
Ability to implement evaluation frameworks, guardrails, retries, failure handling, and human-in-the-loop workflows.
Experience deploying and maintaining AI agents in production environments with real users and measurable outcomes.
Ability to determine when to use AI agents versus simpler automation approaches.

Good-to-Have Skills

Frontend development experience with JavaScript (ES6+) and React.
Experience with Claude Code or other AI-assisted development tools.
Experience with agent frameworks such as Google ADK and LangGraph.
Experience with Electron-based desktop applications.
Knowledge of API documentation using Swagger/OpenAPI.
Basic DevOps knowledge, including Docker and CI/CD.
Experience with unit and integration testing.

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: 9131639
Posted 3 hours ago

Fitment

Dice Job Match Score™

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Contact the job poster

Vimal Sangam

Recruiter @ J-RAM IT Consulting Inc.

View Profile

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Job Details

Skills

Artificial Intelligence
Backend Development
Python
AI agents
Software Engineering
LLM
APIs

Summary

Onsite, Palo Alto HQ, CA

Long Term

*** Must be a local resource & be flexible to attend In-person interview ***

Role Summary

What You'll Do

Work alongside Product Managers and domain experts to understand business workflows, identify problems, define requirements, and establish success criteria for agentic solutions.
Design, build, test, and deploy production-grade AI agents, automations, and internal tools using LLM APIs, coding agents, and agent frameworks.
Build multi-agent workflows that automate complex business processes, enabling agents to make decisions, execute tasks, and coordinate through defined workflows and handoffs.
Develop reliable agent orchestration, including tool integrations, context management, state management, retries, caching, and failure handling.
Build and maintain backend services, APIs, integrations, and data models to support agent-powered applications.
Integrate AI agents with internal platforms, business systems, and external tools through APIs and other integrations.
Implement evaluation frameworks, guardrails, quality checks, and human-in-the-loop approvals to ensure reliability and accuracy.
Follow strong software engineering practices, including version control, code reviews, automated testing, CI/CD, monitoring, and staged deployments.
Monitor production agent performance, identify areas for improvement, and continuously optimize agent workflows based on measurable outcomes.

Experience You'll Need (Must-Haves)

Around 7+ years of professional software engineering experience, particularly in backend development and production systems.
Around 2+ years of hands-on experience building AI agents and agent-powered production applications using code.
Strong experience with LLM APIs, agent frameworks, and multi-agent orchestration.
Proven experience designing, developing, and deploying production-grade backend services, REST APIs, integrations, and data models.
Experience building reliable AI agent workflows with tool calling, context and state management, error handling, and evaluation mechanisms.
Strong understanding of system design, algorithms, data structures, access control, and scalable application architecture.
Experience taking ownership of solutions end to end, from understanding requirements and designing workflows to implementation, deployment, and production support.
Ability to work through ambiguity, communicate proactively, clarify requirements, and collaborate with stakeholders.
A strong builder mindset with the ability to measure outcomes such as time saved, errors reduced, and process efficiency improved.

Software Engineering Skills

Strong backend development experience using Python.
Experience building REST APIs using FastAPI or Flask.
Strong understanding of system design, API design, data modeling, and scalable architectures.
Experience with relational databases such as PostgreSQL, MySQL, or SQL Server.
Understanding of schema design, joins, indexing, and query optimization.
Experience with Git, code reviews, automated testing, CI/CD, and production monitoring.
Ability to translate ambiguous requirements into clear technical designs and implementation plans.

AI Agent Engineering Skills

Hands-on experience building AI agents using LLM APIs, SDKs, and agent frameworks.
Experience designing and implementing multi-agent orchestration and agent workflows.
Strong understanding of tool calling, context management, state management, and agent execution.
Experience integrating agents with APIs, business systems, and external tools.
Ability to implement evaluation frameworks, guardrails, retries, failure handling, and human-in-the-loop workflows.
Experience deploying and maintaining AI agents in production environments with real users and measurable outcomes.
Ability to determine when to use AI agents versus simpler automation approaches.

Good-to-Have Skills

Frontend development experience with JavaScript (ES6+) and React.
Experience with Claude Code or other AI-assisted development tools.
Experience with agent frameworks such as Google ADK and LangGraph.
Experience with Electron-based desktop applications.
Knowledge of API documentation using Swagger/OpenAPI.
Basic DevOps knowledge, including Docker and CI/CD.
Experience with unit and integration testing.

Dice Id: 91173765
Position Id: 9131639
Posted 3 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Vimal Sangam

Recruiter @ J-RAM IT Consulting Inc.

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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