Position: Agent Engineer
Location: San Francisco, CA (On-site)
Job Type: Full-Time
Location: San Francisco, CA (On-site)
Job Type: Full-Time
Job Summary
We are seeking an experienced Agent Engineer to build and scale AI agent workflows for a creative platform. The ideal candidate will have experience with LLMs, AI agents, backend systems, workflow orchestration, and production-grade AI applications.
Requirements
- 3+ years of experience in AI, backend, infrastructure, or agent-based systems
- Strong Python and/or TypeScript experience
- Experience with LLMs, AI agents, tool use, memory, retrieval, and workflow execution
- Experience with databases, queues, observability, and production systems
- Knowledge of model orchestration, routing, retries, fallbacks, and reliability
- Experience with AI evaluations, testing, and quality metrics
- Ability to work on-site in San Francisco
Preferred Qualifications
- Experience with image, video, audio, or multimodal AI systems
- Experience with workflow engines, node-based systems, or automation platforms
- Strong understanding of production AI reliability and scalability
Compensation: $160,000.00 - $200,000.00 per year
About Us
AHU Technologies INC. is an IT consulting and permanent staffing firm that meets and exceeds the evolving IT service needs of leading corporations within the United States. We have been providing IT solutions to customers from different industry sectors, helping them control costs and release internal resources to focus on strategic issues.
AHU Technologies INC. was co-founded by visionary young techno-commercial entrepreneurs who remain as our principal consultants. Maintaining working relationships with a cadre of other highly skilled independent consultants, we have a growing number of resources available for development projects. We are currently working on Various projects such as media entertainment, ERP Solutions, data warehousing, Web Applications, Telecommunications and medical to our clients all over the world.
(if you already have a resume on Indeed)
