Search Jobs | Dice.com

59 results (5 new)

Group by company

AI Focused Software Developer - Python

UnivEdge Consulting LLC

Remote or Hybrid in Palo Alto, California • Today

Easy Apply

Contract

Depends on Experience

AI Developer with Python

MphasiS Corporation USA

San Francisco, California • 5d ago

Easy Apply

Full-time

$80,000 - $110,000

AI Developer with Python

MphasiS Corporation USA

Sunnyvale, California • 22d ago

Easy Apply

Full-time

$100,000 - $120,000

Python Full Stack Developer with Agentic AI Experience

AgreeYa Solutions

Fremont, California • Today

Easy Apply

Contract

Depends on Experience

AI Focus Python Developer

UnivEdge Consulting LLC

Hybrid in Palo Alto, California • 4d ago

Easy Apply

Contract

Depends on Experience

Senior Software Engineer / React / Python / Physical AI

Motion Recruitment Partners, LLC

Sunnyvale, California • Today

Easy Apply

Full-time

$190000 - $220000

AI Developer (Python / Vue + TypeScript)

Spire Systems Inc

San Francisco, California • Today

Easy Apply

Third Party, Contract

Depends on Experience

Senior Backend Software Engineer (Python / API Integrations & AI Agents)

Infobahn Softworld Inc.

Santa Clara, California • Today

Easy Apply

Full-time, Contract, Third Party

Staff Software Engineer - AI Security (Go/Rust/Python)

Zscaler

Santa Clara, California • Today

Full-time

USD 152,000.00 - 190,000.00 per year

Senior Software Engineer, AI Developer Tools

Docker

San Francisco, California • Today

Full-time

USD 160,900.00 - 260,700.00 per year

Staff Software Engineer, AI Developer Tools

Docker

San Francisco, California • Today

Full-time

USD 170,350.00 - 275,550.00 per year

AI/ML Software Developer

CATHEXIS

Redwood City, California • Today

Full-time

USD 137,448.00 - 167,256.00 per year

Software Engineer/Developer (AI Focus) -

Pyramid Systems, Inc.

Remote • 7d ago

Easy Apply

Full-time

$165,000 - $195,000

Python AI Developer With React JS Exp.

Magicforce

Remote • Yesterday

Easy Apply

Contract, Third Party

Depends on Experience

Full Stack Lead Developer(AWS, Go/Python, Kubernetes & AI-Assisted) - Remote

Mergen IT LLC

Remote • Today

Easy Apply

Full-time

100,000 - 120,000

Manager Full Stack Developer(AWS, Go/Python, Kubernetes & AI-Assisted Development) - Remote

Mergen IT LLC

Remote • Today

Easy Apply

Full-time

110,000 - 130,000

Python Developer - AWS, AI, LLM - ZL

SES

Remote • 4d ago

Easy Apply

Full-time

Depends on Experience

Python Developer - Automation & AI

Indotronix International Corp

Remote • 5d ago

Easy Apply

Contract

85+

Backend Software Engineer - Python & Pipeline Orchestration (Cloud / AI Platform)

Bayside Solutions

Remote • Today

Easy Apply

Contract

$60 - $70 per hour

Senior Software Engineer, AI Evaluation (Python / TypeScript / Go), Remote Contract

Rustlabs LLC

Remote • 3d ago

Contract

Depends on Experience

Senior Software Engineer (Python / AI Insurance SaaS)

EvolutionIQ

Remote or New York, New York • Today

Full-time

USD 200,000.00 - 225,000.00 per year

AI Enabled Full-Stack Software Engineer

Nityo Infotech Corporation

Santa Clara, California • 4d ago

Easy Apply

Part-time, Third Party

$60 - $100

AI Developer

DivIHN Integration Inc.

Palo Alto, California • Today

Easy Apply

Third Party, Contract

$55 - $75

AI Developer (Locals only)

J-RAM IT Consulting Inc.

Hybrid in Palo Alto, California • Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

AI Software Engineer

Photon

Sunnyvale, California • 5d ago

Easy Apply

Full-time

120,000 - 160,000

AI Software Engineer

Photon

Sunnyvale, California • Today

Easy Apply

Full-time

Depends on Experience

AI Scrum Master with Python - 100% remote

System One

Remote • 20d ago

Easy Apply

Contract

Depends on Experience

US_Software Engineer II_CO

Motion Recruitment Partners, LLC

South San Francisco, California • Today

Easy Apply

Contract

$76 - $76.51

AI/ML Developer

Judge Group, Inc.

Pleasanton, California • Today

Contract

USD 130,000.00 - 135,000.00 per year

Full Stack Engineer (Python, AI/LLM)

Apton Inc

San Francisco, California • Yesterday

Easy Apply

Full-time

Depends on Experience

UnivEdge Consulting LLC

Job Details

Skills

AI
Software Developer
Python Development
AI Agents

Summary

AI Focus Software Developer - Python
Palo Alto, CA (Hybrid - 3 days onsite per week)
Contract Opportunity
A minimum of 10 years of expereice required

About the Role:
As an Applied AI Developer on the Enterprise AI team, you'll evaluate where AI fits, build the tools and platforms that make it practical, and enable teams across client to adopt modern AI development patterns — including LLM orchestration, agentic workflows, and model governance. You stay hands-on and outcomes-oriented: prototyping, evaluating emerging AI technologies, and shipping solutions that make the organization measurably more efficient.

What You’ll Do:

Think AI-first — assess where agentic approaches genuinely outperform conventional solutions, then own the quality bar: build automated evals, simulation tests, and regression frameworks that keep our AI systems reliable and improving as they scale.
Design agentic systems — tool orchestration, agent reasoning, memory, MCP integrations, and human-in-the-loop workflows.
Define and implement AI governance patterns — guardrails, data lineage, auditability, and responsible AI practices that ensure our agentic systems are safe, compliant, and trustworthy.
Drive adoption through pilots, proofs-of-concept, and scalable implementations across engineering teams.
Collaborate with various business functions, product, security, and platform teams to translate AI use cases into production-grade, end-to-end solutions.

What We're Looking For:

5+ years of professional software engineering, with at least 2 years focused on applied AI in production systems.
Proficient in Python and/or Go; comfortable reading and writing in the other.
Proven experience building and scaling multi-agent or agent-driven systems in production — real-world operational ownership, not just simple LLM workflows.
Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Google ADK, Mastra, Claude Agent SDK), observability and evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic).
Strong systems and backend architecture fundamentals — designing scalable, reliable systems and handling infrastructure, performance, failure modes, cost, and deployment concerns.
Good understanding of cloud-native environments (Google Cloud Platform and/or AWS) — compute, storage, networking, and managed AI services.
Experience designing and integrating with enterprise APIs (REST, GraphQL) including authentication and authorization patterns (OAuth2, SAML, API keys, RBAC). Comfortable working with backend databases (SQL and NoSQL) — writing queries, understanding data models, and building data access layers that enforce role-based access control.
Strong cross-functional collaborator and communicator, able to partner with Product, Operations, and domain experts to deliver end-to-end systems with measurable real-world impact.
A force-multiplier on the team — you raise the bar for clarity of thinking, system design standards, and team execution.

Nice to Have:

Experience with AI evaluation tooling (Langfuse, LangSmith, Braintrust, or custom eval frameworks).
Experience building custom MCP servers, not just consuming them.
Familiarity with containerization and orchestration (Docker, Kubernetes).
AI-native builder with high velocity and ownership — intellectual curiosity, rapid adoption of new tools, bias to action, and the ability to drive ambiguous problems from concept to production.
Hands-on experience with inference cost optimization — managing spend as agent deployments scale.
Experience using AI-powered coding agents (e.g., Claude Code, GitHub Copilot, Cursor, Windsurf) to accelerate development workflows — rapid prototyping, code generation, debugging, and test writing.
Experience with RAG (Retrieval-Augmented Generation) architectures and document retrieval pipelines — vector databases, embedding models, chunking strategies, and hybrid search — for building agents that answer questions grounded in enterprise documentation.

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: 91174449
Position Id: 9126329
Posted 6 hours ago

Company Info

About UnivEdge Consulting LLC

We help businesses grow with innovative technology solutions and top-tier talent. Our focus is on delivering scalable, efficient, and future-ready solutions that drive real results.

We are a global IT and staffing solutions company dedicated to helping organizations scale with the right technology and talent. With deep industry expertise and a strong delivery model, we support businesses in solving complex challenges and achieving sustainable growth.

Our mission is to empower businesses by combining cutting-edge technology with highly skilled professionals. We aim to deliver solutions that are efficient, scalable, and aligned with long-term business success.

Go to company profile

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

Ajay Goyal

Recruiter @ UnivEdge Consulting LLC

View Profile

Create job alert

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

Similar Jobs

AI Focus Python Developer

Hybrid in Palo Alto, California

•

4d ago

AI Focus Software Developer Palo Alto, CA - 3 days onsite per week Contractual In-person Interview Job Summary: Must Have: LLM Orchestration Agentic Workflows Model Governance MCP Integrations Python and/or GO Frameworks - LangGraph, Google ADK, Mastra, Claude Agent SDK AI SDK's - OpenAI, Anthropic Cloud Environment - Google Cloud Platform and/or AWS API's - REST or GraphQL Backend Databases - SQL and NoSQL Nice to Have: AI Evaluation Tool - Langfuse, LangSmith, Braintrust, or custom eval fra

Easy Apply

Contract

Depends on Experience

Sr. Agentic AI Engineer

Santa Clara, California

•

11d ago

Sr. Agentic AI Engineer Santa Clara, CA (On-site) We need Senior / Lead Engineer with hands-on expertise. Sr. Agentic AI Engineer What you will be doing: Develop and own enterprise-grade Agentic AI systems for Supply Chain use cases, including multi-agent architectures, orchestration frameworks, RAG pipelines, deployment, monitoring, and full lifecycle management. Capture design requirements, translate requirements into user stories, perform technical design, drive end to end integration test

Easy Apply

Contract

Depends on Experience

UnivEdge Consulting LLC

Job Details

Skills

AI
Software Developer
Python Development
AI Agents

Summary

AI Focus Software Developer - Python
Palo Alto, CA (Hybrid - 3 days onsite per week)
Contract Opportunity
A minimum of 10 years of expereice required

What You’ll Do:

Think AI-first — assess where agentic approaches genuinely outperform conventional solutions, then own the quality bar: build automated evals, simulation tests, and regression frameworks that keep our AI systems reliable and improving as they scale.
Design agentic systems — tool orchestration, agent reasoning, memory, MCP integrations, and human-in-the-loop workflows.
Define and implement AI governance patterns — guardrails, data lineage, auditability, and responsible AI practices that ensure our agentic systems are safe, compliant, and trustworthy.
Drive adoption through pilots, proofs-of-concept, and scalable implementations across engineering teams.
Collaborate with various business functions, product, security, and platform teams to translate AI use cases into production-grade, end-to-end solutions.

What We're Looking For:

5+ years of professional software engineering, with at least 2 years focused on applied AI in production systems.
Proficient in Python and/or Go; comfortable reading and writing in the other.
Proven experience building and scaling multi-agent or agent-driven systems in production — real-world operational ownership, not just simple LLM workflows.
Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Google ADK, Mastra, Claude Agent SDK), observability and evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic).
Strong systems and backend architecture fundamentals — designing scalable, reliable systems and handling infrastructure, performance, failure modes, cost, and deployment concerns.
Good understanding of cloud-native environments (Google Cloud Platform and/or AWS) — compute, storage, networking, and managed AI services.
Experience designing and integrating with enterprise APIs (REST, GraphQL) including authentication and authorization patterns (OAuth2, SAML, API keys, RBAC). Comfortable working with backend databases (SQL and NoSQL) — writing queries, understanding data models, and building data access layers that enforce role-based access control.
Strong cross-functional collaborator and communicator, able to partner with Product, Operations, and domain experts to deliver end-to-end systems with measurable real-world impact.
A force-multiplier on the team — you raise the bar for clarity of thinking, system design standards, and team execution.

Nice to Have:

Experience with AI evaluation tooling (Langfuse, LangSmith, Braintrust, or custom eval frameworks).
Experience building custom MCP servers, not just consuming them.
Familiarity with containerization and orchestration (Docker, Kubernetes).
AI-native builder with high velocity and ownership — intellectual curiosity, rapid adoption of new tools, bias to action, and the ability to drive ambiguous problems from concept to production.
Hands-on experience with inference cost optimization — managing spend as agent deployments scale.
Experience using AI-powered coding agents (e.g., Claude Code, GitHub Copilot, Cursor, Windsurf) to accelerate development workflows — rapid prototyping, code generation, debugging, and test writing.
Experience with RAG (Retrieval-Augmented Generation) architectures and document retrieval pipelines — vector databases, embedding models, chunking strategies, and hybrid search — for building agents that answer questions grounded in enterprise documentation.

Dice Id: 91174449
Position Id: 9126329
Posted 6 hours ago

Company Info

About UnivEdge Consulting LLC

We help businesses grow with innovative technology solutions and top-tier talent. Our focus is on delivering scalable, efficient, and future-ready solutions that drive real results.

Go to company profile

Fitment