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Fastapi Programmer Jobs in California (NOW HIRING)

AI Talent Now

Senior Product Engineer

Palo Alto, CA · On-site

$150 - $200/hr

Experience with Python, FastAPI, and a background in B2B SaaS preferred * Top 15 school required if under 2 years of experience Company Context * Transitioning all engineers to full-stack roles

FlexAI

Senior Full Stack Engineer

Santa Clara, CA · On-site

Python (FastAPI or similar) or Node.js • Experience designing and working with APIs • ... platforms, developer tools, or compute systems • Familiarity with Kubernetes, CI/CD, and ...

2T Consulting

$113K - $148K/yr

We are looking for a GenAI Engineer with strong expertise in LLM infrastructure, model deployment ... Develop AI platform services and APIs using Python, FastAPI, Microservices, and Kubernetes.

2T Consulting

$124K - $163K/yr

We are looking for a GenAI Engineer with strong expertise in LLM infrastructure, model deployment ... Develop AI platform services and APIs using Python, FastAPI, Microservices, and Kubernetes.

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AI Agentic Developer

San Francisco, CA • On-site

ALIS Software LLC
IT Services • 11 - 50 employees
Learn more about ALIS Software LLCexternal

Contractor

Posted 10 days ago

Job description

Job Type: AI Agentic Developer
Location: Hybrid - 2 days SFO Downtown, USA
We are seeking an AI Agentic Developer - to spearhead our next-generation AI-powered development initiatives. You'll be responsible for developing cutting-edge solutions that redefine the retail experience.
Responsibilities:
  • Designs, develops, deploys, and maintains AI-powered applications using Python/FastAPI backends, React/TypeScript frontends, and Google Cloud Vertex AI, while adhering to development best practices and quality standards.
  • Takes full end-to-end ownership of assigned GenAI systems, including architectural decisions, feature delivery, operational readiness, production support, and cost optimization.
  • Leads by example in adopting AI-augmented development workflows, demonstrating effective collaboration with AI coding assistants (Claude Code, GitHub Copilot) to accelerate delivery and improve code quality.
  • Works closely with solution engineers, architects, and product teams to develop technical design specifications and validate that proposed solutions align with architectural standards, non-functional requirements, and business needs.
  • Implements LLM orchestration patterns including prompt engineering, retrieval-augmented generation (RAG), multi-agent workflows, and structured output generation.
  • Builds and maintains observability pipelines for AI systems platforms, including trace analysis, token usage tracking, cost monitoring, and quality metrics.
  • Provides technical guidance and mentorship across the team, upskilling members on agentic development practices, prompt engineering techniques, and AI tool integration.
  • Performs cross-platform analysis and trade-off assessments across backend (Python/FastAPI), frontend (React/TypeScript), and AI services (GCP Vertex AI, LangFuse) to ensure consistency and identify optimization opportunities.
  • Responsible for troubleshooting and issue analysis, as well as coding, testing, and implementing software enhancements across the full stack.
  • Ensures timely delivery of AI initiatives, proactively communicating risks, blockers, and schedule impacts, and driving resolution to maintain delivery commitments.
  • Demonstrates exceptional prioritization and multitasking skills to manage concurrent deliverables across services and platforms, handle operational requests, and resolve production issues effectively.
  • Uses observability and monitoring tools (e.g., LangFuse, Grafana, Dynatrace, Splunk) to actively review dashboards, investigate anomalies, monitor AI model performance, and track cost metrics.
  • Available to support/unblock planned deployments during off hours as needed.

We are excited about you if you have the following experience:
  • AI Coding Assistants (e.g., Claude Code, GitHub Copilot, Cursor, Windsurf)
  • Generative AI Application Development/Generative AI Design Patterns
  • GenAI cloud platforms (Google Cloud Vertex AI, Gemini, Anthropic Claude, OpenAI)
  • LLM Observability and Tracing (LangFuse, LangSmith, or similar)
  • Prompt Engineering techniques (e.g., chain-of-thought, few-shot learning, structured outputs)
  • Python, FastAPI, async programming, Pydantic, SQLAlchemy ORM
  • React, TypeScript, Zustand state management, Material-UI (MUI)
  • Data visualization libraries (Recharts, D3.js)
  • MySQL/PostgreSQL databases, query optimization, Alembic migrations
  • Git, CI/CD, GitHub Actions, ArgoCD
  • Docker and docker-compose
  • Google Cloud Platform (Vertex AI, Cloud Run, BigQuery, Cloud Storage, IAM)
  • Authentication and Authorization (OAuth 2.0, Okta, JWT, RBAC)
  • Kubernetes and container orchestration
  • Grafana, Prometheus Monitoring
  • Dynatrace + Splunk working knowledge to setup and monitor service alerts
  • RESTful API Design Patterns, OpenAPI/Swagger Documentation
  • Experience with markup languages such as JSON and YAML
  • UV package manager, Poetry, modern Python tooling

Additional Qualifications:
  • Bachelor's or master's degree in Computer Science, AI/ML, Information Technology, or equivalent experience
  • 5+ years of software engineering experience with at least 2+ years focused on AI/ML or GenAI applications
  • Proven track record of delivering production AI systems with end-to-end ownership
  • Expert-level proficiency with AI coding assistants and agentic development workflows
  • Strong full-stack development skills across Python and TypeScript/React ecosystems
  • Good communication skills (verbal and written) with ability to articulate complex AI concepts to diverse audiences
  • Strong delegation skills with the ability to receive, prioritize, and execute on delegated tasks autonomously
  • Proven ability to context-switch between different codebases, tech stacks, and AI platforms efficiently
  • Leadership mindset with experience mentoring engineers and driving technical decisions
  • Being able to seamlessly integrate new AI technologies and agentic workflows into current work streams
  • Intermediate to advanced knowledge of microservice design patterns and trade-offs
  • Understanding of responsible AI practices including bias, safety, and ethical considerations
  • Experienced on Agile methodology and tools (Jira, Confluence)
  • Work experience in the Retail industry is a plus

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