Software Engineer (6+ years)

Continuum Resource Network; San Diego (CA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Life Insurance

Medical Insurance

401k

Job summary

Continuum Resource Network in San Diego, CA is seeking a Software Engineer to design and build production-grade AI applications, agents, and conversational systems, with a strong Python and ML background. You will develop AI-powered products, evaluate LLMs, build RAG systems, and collaborate with cross‑functional teams to deliver scalable, reliable AI solutions across platforms and services.

The role emphasizes balancing model accuracy, latency, cost, and user experience while deploying secure,

Qualifications

• 6+ years of Python for AI/ML development.
• Hands-on experience building AI applications and agents.
• Experience with chatbots or voice-based conversational systems.
• Knowledge of vector databases, embeddings, and prompt engineering.
• Familiarity with major LLM providers and trade-offs.
• Understanding of transformer networks and attention mechanisms.
• Experience integrating AI capabilities into applications.

Responsibilities

• Design and develop AI agents and autonomous systems for complex tasks.
• Build conversational AI applications including chatbots and voice services.
• Develop AI-powered integrations across apps and services.
• Design and optimize RAG systems using vector databases and prompts.
• Develop and optimize ML models with PyTorch.
• Evaluate LLMs for accuracy, latency, cost, and user experience.
• Translate business needs into scalable AI solutions with cross‑functional teams.
• Deploy, monitor, and maintain production-grade AI systems with reliability and security.
• Improve model quality, response accuracy, and operational efficiency.

Skills

Python for AI/ML development

PyTorch

AI agents and autonomous systems

Chatbots & voice-based systems

RAG components

LLMs evaluation

Prompt engineering

Vector databases embeddings

LangChain / LlamaIndex familiarity

Transformer architectures

Tools

FAISS

LangChain

LlamaIndex

AutoGen

PyTorch (framework)

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.

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

• Life Insurance
• Medical Insurance
• 401k