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# Senior Software Developer, AI

- **Company:** Textnow Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $136,300 - $273,900
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Business Systems, Computer Programming, Electronic Design Automation, Python (Programming Language), Knowledge Management, Open Source Technology, Performance Tuning, OpenAI, Ruby, Software Engineering, Software Systems, TypeScript, Large Language Models, Prompt Engineering, Software Application Programming, Agentic-AI, AI Platforms, Kubernetes, Golang
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-software-developer-ai-san-francisco-ca--133db363-bc29-4beb-868e-19d08897445d

## About the Role

Software Development, Artificial Intelligence (AI), Artificial Intelligence (AI), Software Development, Production Systems, Artificial Intelligence (AI) Agents, Prototyping, Emerging Technology, Proof of Concept, Systems Scalability, * 5+ years of software development experience

 * Experience designing and delivering production-grade software systems

 * Strong programming skills in one or more modern languages (Go, Python, TypeScript, Ruby, or similar)

 * Experience with cloud platforms and modern deployment practices

AI & Automation Experience

 * Hands-on experience building applications with Large Language Models

 * Experience training custom models

 * Understanding of prompt engineering, evaluation methodologies, and AI system design

 * Experience with workflow automation and orchestration platforms

 * Familiarity with retrieval systems, vector databases, knowledge management, or agent frameworks

Delivery & Collaboration

 * Comfortable operating in ambiguous environments with evolving requirements

 * Strong communication skills with technical and non-technical audiences

 * Demonstrated ability to lead projects from concept through deployment

 * Ability to identify opportunities independently and drive execution

Mindset

 * Curious and pragmatic

 * Strong ownership mentality

 * Bias toward experimentation and learning

 * Able to balance speed with long-term sustainability

 * Excited by solving business problems using technology

Nice to Have

 * Experience building enterprise AI solutions

 * Experience with OpenAI, Anthropic, Google, or open-source model ecosystems

 * Experience with observability and AI performance monitoring

 * Experience implementing AI governance, evaluation, or security frameworks

 * Telecommunications industry experience

 * Experience building internal developer productivity tools

## Description

* Build internal tools and intelligent workflows using LLMs, AI agents, and orchestration frameworks

 * Evaluate emerging AI technologies and rapidly prototype new concepts

 * Transform proofs-of-concept into scalable production systems

Lead Technical Delivery

 * Drive architecture and implementation decisions for AI initiatives

 * Define patterns and standards for AI application development

 * Balance experimentation speed with security, governance, and operational excellence

 * Ensure solutions are reliable, observable, maintainable, and cost-effective

Enable the Organization

 * Partner with business stakeholders to identify high-value AI opportunities

 * Translate business problems into technical solutions

 * Consult with teams across Product, Engineering, Customer Care, Trust & Safety, Marketing, Finance, and Operations

 * Help teams adopt AI capabilities and best practices

Build Internal AI Capabilities

 * Develop reusable AI services, frameworks, and components

 * Create integrations with enterprise platforms and business systems

 * Design automation workflows that reduce manual effort and increase operational efficiency

 * Contribute to AI governance, evaluation frameworks, and responsible AI practices

Mentor and Influence

 * Coach engineers and technical stakeholders on AI development approaches

 * Share knowledge, best practices, and lessons learned

 * Drive technical discussions and influence the direction of TextNow's AI strategy