AI Engineer

Net2Source
Santa Clara, CA, United States
4 days ago
Apply on www2.jobdiva.com
Prepare application

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$17,209.0 - $26,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence ARM Architecture Continuous Integration Information Engineering Data Retrieval Python (Programming Language) Machine Learning Standard Sql Salesforce.Com Software Engineering Systems Integration
+10 more
Software Organization Large Language Models Snowflake Multi-Agent Systems Prompt Engineering Git Information Technology Marketo Data Management Api Design

Job description

  • Contribute to the enterprise AI orchestration layer , including agent routing, tool management, context management, and workflow execution.
  • Build AI evaluation, monitoring, and observability capabilities using tools such as Langfuse or similar platforms.
  • Develop reusable frameworks, agents, tools, APIs, and engineering patterns to accelerate AI adoption.
  • Implement security, access controls, guardrails, and responsible AI practices within AI applications and workflows.
  • Partner with Enterprise Architecture, Data, Security, and business teams to prototype and productionize high-value AI use cases.

Requirements

  • 3+ years of experience in software engineering, AI/ML engineering, data engineering, or related technical fields.
  • Bachelors in Computer Science
  • Strong Python and SQL skills and experience building APIs and enterprise integrations.
  • Hands-on experience building LLM applications or AI agents .
  • Experience with LangChain, LangGraph, Snowflake Cortex, MCP, RAG, or similar technologies .
  • Experience with Snowflake or other modern cloud data platforms.
  • Familiarity with AI observability, evaluation, security, and governance.
  • Experience with Git, testing, CI/CD, and modern software development practices.
  • Ability to translate business problems into practical, scalable AI solutions.

Skills:

  • Design and develop AI agents, workflows, and applications using Python, LangChain, LangGraph, Snowflake Cortex/Cortex Agents, and MCP .
  • Build RAG solutions , including data retrieval, embeddings, context management, tool calling, and prompt engineering.
  • Develop integrations between AI agents and enterprise platforms including Snowflake, Hightouch/CDP, Salesforce, Marketo, and other Martech systems .

About the company

Net2Source Inc. isn’t just another staffing company, we’re a powerhouse of innovation, connecting top talent with the right opportunities. Recognized for 300% growth in the past three years, we operate in 34 countries with a global team of 5,500+. Our mission? To bridge the talent gap with precision-Right Talent. Right Time. Right Place. Right Price., We believe in more than just jobs-we build careers. At Net2Source, we champion leadership at all levels, celebrate diverse perspectives, and empower you to make an impact. Think work-life balance, professional growth, and a collaborative culture where your ideas matter.

Our Commitment to Inclusion & Equity Net2Source is an equal opportunity employer, dedicated to fostering a workplace where diverse talents and perspectives are valued. We make all employment decisions based on merit, ensuring a culture of respect, fairness, and opportunity for all, regardless of age, gender, ethnicity, disability, or other protected characteristics.

Awards & Recognition

  • America’s Most Honored Businesses (Top 10%)
  • Fastest-Growing Staffing Firm by Staffing Industry Analysts
  • INC 5000 List for Eight Consecutive Years
  • Top 100 by Dallas Business Journal
  • Spirit of Alliance Award by Agile1

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www2.jobdiva.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

58 sec

Using AI agents as career and technical interview coaches

Ekaterina Kapranova Ekaterina Kapranova · World Congress 2026 Europe

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

Videos

See all

Related articles

See all