Alpas AI

AI Engineer

• Design, build and operate production AI agents with LangGraph
• Implement agentic workflow patterns including planning, tool use, reflection and human-in-the-loop
• Build NLP and RAG pipelines using vector databases, retrieval strategies and evaluation
• Integrate agents with backend services including Python, FastAPI, Pub/Sub and GCP
• Keep agent-to-agent and agent-to-backend interfaces scalable
• Own MLOps for agentic workloads, including CI/CD, monitoring, evaluation pipelines, cost control and inference efficiency
• Set and meet quality targets, such as an under-1% failure rate for the search agent
• Benchmark models and approaches
• Maintain code quality through reviews and documentation
• Share knowledge across the team
• Own projects end to end, from design to production operation
• Report directly to the CTO and work in small, cross-functional product teams

Explore Senior AI Engineer at Alpas AI. Review requirements and application details.