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# AI Engineer

- **Company:** Indotronix Avani Group
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, User Authentication, BigQuery, Computer Programming, Continuous Integration, Cursor, Programming Tools, Python (Programming Language), PostgreSQL, MySQL, OAuth, Query Optimization, Role-Based Access Control, Software Engineering, SQLAlchemy, TypeScript, Google Cloud, GitHub Copilot, ReactJS, Retrieval-Augmented Generation, Large Language Models, Claude Code, Grafana, Prompt Engineering, Model Validation, Generative AI, AI Coding Agents, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, Fastapi, Database Migration, LangSmith, Kubernetes, Google Cloud Functions, Machine Learning Operations, React Redux, Docker
- **Published:** October 5, 2026
- **Apply:** https://candidateportal.ceipal.com/job-details/jgm_8YLxLKMt8KsmAN1B1IeimBlAHIf3NqczGODx80w

## About the Role

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

 - 5+ years in software engineering, with 2+ years in AI/ML or GenAI applications.
 - Proven track record of end-to-end delivery of production-grade AI systems.
 - Deep knowledge of LLM architectures, prompt engineering, agentic workflows, RAG, and orchestration patterns.
 - Expert proficiency in Python, FastAPI, async programming, Pydantic, SQLAlchemy ORM.
 - Solid experience with React, TypeScript, Zustand, PostgreSQL, MySQL, database migrations, and query optimization.
 - Strong command of Docker, Kubernetes, container orchestration, CI/CD pipelines.
 - Familiarity with AI coding assistants (e.g., GitHub Copilot, Claude Code, Cursor).
 - Hands-on with cloud platforms (Google Cloud Platform, Cloud Run, BigQuery).
 - Experience with OAuth 2.0, JWT authentication, and RBAC.
 - Familiarity with LLM observability tools (e.g., LangFuse, LangSmith).

Preferred Skills

 - Experience building enterprise-scale AI platforms or internal developer tools.
 - Production support experience for AI applications.
 - Knowledge of AI governance, model evaluation, and responsible AI practices.
 - Strong technical mentorship and stakeholder management abilities.
 - Experience with Agile methodologies and tools.
 - Background in the retail industry., Ready to drive innovation in AI? Submit your updated resume highlighting relevant AI engineering experience. Candidates must be authorized to work in the United States without sponsorship.

## Description

Join a dynamic team in San Francisco as an AI Engineer, where you'll drive the creation and scaling of next-generation AI-powered applications. This is a hands-on opportunity to deliver production-grade generative AI solutions leveraging state-of-the-art architectures and agentic workflows. You'll have full ownership of intelligent systems, collaborating with top engineers, architects, and product teams to define and deliver impactful solutions. This role offers significant career growth, technical leadership opportunities, and exposure to cutting-edge cloud-native and GenAI technologies., Design, develop, deploy, and maintain AI-powered applications using Python, FastAPI, React, and TypeScript.

 - Architect, build, and support LLM-driven systems, implementing prompt engineering, RAG, and multi-agent AI workflows.
 - Lead by example in AI-augmented development practices, utilizing advanced AI coding assistants.
 - Deliver end-to-end solutions: from system architecture, operational readiness, and production support to cost optimization.
 - Collaborate cross-functionally with technical and product teams to define robust technical solutions.
 - Mentor and guide team members in agentic development, AI tooling, and prompt engineering.
 - Build observability and monitoring solutions for AI systems, including tracing, token usage, and performance metrics.
 - Drive CI/CD and deployment processes, including supporting occasional off-hours releases.
 - Manage multiple initiatives and competing priorities in a fast-paced, innovation-driven environment.