AI Agentic Developer SFO

KLM Careers; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

KLM Careers is seeking an AI Agentic Developer with expertise in designing and developing AI-powered applications in San Francisco. The role requires proficiency in Python and FastAPI for backend development and React/TypeScript for frontends, while guiding the team through architectural decisions and technical specifications.

Successful candidates will have at least 5 years of software engineering experience, with strong skills in generative AI applications and cloud platforms. This position demands effective communication and leadership capabilities to mentor junior developers.

Qualifications

• 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.
• Strong full‑stack development skills across Python and TypeScript/React ecosystems.

Responsibilities

• Design, develop, and maintain AI-powered applications using modern frameworks.
• Take ownership of assigned GenAI systems with a focus on performance and optimization.
• Provide mentorship and technical guidance to team members on AI practices.

Skills

AI Coding Assistants (e.g., Claude Code, GitHub Copilot, Cursor, Windsurf)

Generative AI Application Development/Design Patterns

Python, FastAPI, async programming, Pydantic, SQLAlchemy ORM

React, TypeScript, Zustand

Data visualization libraries (Recharts, D3.js)

MySQL/PostgreSQL databases

Docker and docker-compose

Kubernetes

RESTful API Design Patterns

Agile methodology and tools (Jira, Confluence)

Education

Bachelor's or master's degree in Computer Science, AI/ML, Information Technology

Tools

Google Cloud Platform (Vertex AI, Cloud Run, BigQuery, Cloud Storage)

Grafana

Dynatrace

Job description

AI Agentic Developer SFO-Remote

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.