Continuum Resource Network

Technical staffing for EOR and MSP

Software Engineer

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeSan Diego, CA, USANo salary listedIn-person

About the Job

Requirements

At least 6 years of proficiency in Python for artificial intelligence and machine learning development.
At least 6 years of experience with PyTorch, or willingness to learn PyTorch for entry-level candidates.
Understand AI agents and their application to real-world problems.
Have hands-on experience or a strong interest in building chatbots or voice-based conversational systems.
Know Retrieval-Augmented Generation system components, including vector databases, embeddings, retrieval strategies, and prompt engineering.
Be familiar with major large language model providers, including OpenAI, Anthropic, Google, and Meta, and understand their trade-offs in performance, cost, latency, and capabilities.
Understand transformer neural network architecture and attention mechanisms; 6+ years is stated in the qualifications.
Have experience integrating AI capabilities into applications or eagerness to learn application development.

Responsibilities

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.

Desired Qualifications

Be proficient in Kotlin programming.
Have full-stack development experience with backend and frontend technologies.
Have cloud software development experience, especially with microservices architecture and integration.
Have experience with REST APIs, gRPC, or Kafka for service communication and event-driven architectures.
Know cloud platforms such as AWS, Google Cloud Platform, or Azure for AI deployment.
Be familiar with containerization and orchestration tools such as Docker and Kubernetes.
Have experience with AI frameworks such as LangChain, LlamaIndex, or AutoGen.
Understand continuous integration and continuous delivery pipelines and DevOps practices.

Software Engineer (6+ years)

Continuum Resource Network · San Diego, United States · Contract · Posted 2026-08-11

Workplace: on_site

Department: Zoox

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

Apply

Apply at Continuum Resource Network

About the Company

Continuum Resource Network

Technical staffing for EOR and MSP

Continuum Resource Network specializes in niche technical staffing in Manufacturing Engineering, AI, and Software Development. It serves Employer of Record (EOR) and MSP clients by providing high-volume recruitment, offering full-time contingency placements and contract staff augmentation, with recruiters focused on a single discipline and augmented by AI for broader talent reach while preserving personal interaction with clients and candidates. Its approach combines disciplined expertise, transparent communication, and agile support to deliver matches for roles like Autonomous Vehicle Operator, Software Engineer, and Systems Engineer. The goal is to provide scalable, reliable staffing for emerging technologies and project-based or long-term needs, differentiating from general firms through discipline-specific focus and a personal, transparent service model.

Company size: Not listed
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: Not listed

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