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60 Continuum Resource Network Jobs Hiring Near You

Continuum Resource Network

Inventory Specialist

Ann Arbor, MI · On-site

$17.25 - $22/hr

Proficiency with inventory software and digital tools (e.g., ERP, parts catalog systems, Excel, Google Sheets etc.). * Strong organizational skills and attention to detail in a fast-moving, tech ...

Continuum Resource Network

Inventory Specialist

Ann Arbor, MI · On-site

$17.25 - $22/hr

Proficiency with inventory software and digital tools (e.g., ERP, parts catalog systems, Excel, Google Sheets etc.). * Strong organizational skills and attention to detail in a fast-moving, tech ...

Continuum Resource Network

Safety Driver

Austin, TX · On-site

$24 - $28/hr

We are helping a client to search for attentive and detail-oriented drivers to join their team of Autonomous Vehicle Safety Drivers. In this role, you will be at the forefront of autonomous vehicle ...

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Continuum Resource Network Jobs Information

Infographic showing various job openings at Continuum Resource Network in the United States as of September 2026, with employment types broken down into 74% Full Time, 13% Part Time, 9% Contract, and 4% Nights. Highlights an 99% Physical, and 1% Remote job distribution.

Software Engineer (6+ years)

San Diego, CA • On-site

Continuum Resource Network
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Contractor

Medical, Life, Retirement

Re-posted 5 days ago

Job description

We are helping an on-demand, autonomous ride-hailing company find a Software Engineer to design and build production-grade AI applications, agents, and conversational systems.
In this role, you'll develop AI-powered products that support complex task execution, decision-making, and customer interactions. You'll evaluate and integrate large language models, build Retrieval-Augmented Generation systems, and partner with cross-functional teams to deliver scalable, reliable AI solutions.
The ideal candidate is an experienced software engineer with a strong Python and machine learning background, hands-on experience building AI applications, and a practical understanding of how to balance model accuracy, latency, cost, and user experience.
As a Software Engineer, you'll:
  • Design and develop AI agents and autonomous systems capable of complex task execution and decision-making.
  • Build conversational AI applications, including chatbots and voice-based customer service systems.
  • Develop AI-powered integrations across applications, platforms, and services.
  • Design and optimize Retrieval-Augmented Generation systems using vector databases, embeddings, retrieval strategies, and prompt engineering.
  • Develop, implement, and optimize machine learning models using PyTorch.
  • Evaluate and select large language models based on accuracy, latency, cost, capabilities, and user experience.
  • Translate business requirements into scalable technical AI solutions in partnership with cross-functional teams.
  • Architect, deploy, and maintain production-grade AI systems with a focus on reliability, scalability, security, and performance.
  • Monitor AI system performance and improve model quality, response accuracy, and operational efficiency.

Requirements
Qualifications:
  • 6+ years Proficiency in Python for AI/ML development
  • 6+ years Experience with PyTorch (or willingness to learn for entry-level candidates)
  • Understanding of AI agents and their application to real-world problems
  • Hands-on experience or strong interest in building chatbots and/or voice-based conversational systems
  • Knowledge of RAG system components: vector databases, embeddings, retrieval strategies, and prompt engineering
  • Familiarity with major LLM providers (OpenAI, Anthropic, Google, Meta, etc.) and understanding of their trade-offs in terms of performance, cost, latency, and capabilities
  • Understanding of transformer neural network architecture and attention mechanisms 6+ years
  • Experience integrating AI capabilities into applications or eagerness to learn application development

Bonus Qualifications:
  • Proficiency in Kotlin programming
  • Full-stack development experience with both backend and frontend technologies
  • Cloud software development experience, especially microservices architecture and integration
  • Experience with REST APIs, gRPC, and/or Kafka for service communication and event-driven architectures
  • Knowledge of cloud platforms (AWS, GCP, Azure) for AI deployment
  • Familiarity with containerization and orchestration (Docker, Kubernetes)
  • Experience with AI frameworks like LangChain, LlamaIndex, AutoGen, or similar tools Understanding of CI/CD pipelines and DevOps practices

Benefits
Life Insurance
Medical Insurance
401k

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