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Build and deploy production-grade LLM-powered agents and RAG systems for regulated financial workflows. Responsibilities include designing agent orchestration, owning backend infrastructure and APIs, evaluating accuracy and reliability, optimizing performance and cost, establishing AI safety standards, shaping platform architecture, partnering with customers, and mentoring engineers. The role also contributes to technical strategy, engineering culture, hiring standards, and long-term product direction.

Design enterprise multi-cloud architectures and agentic AI platforms for regulated financial institutions. Build multi-agent workflows, RAG systems, voice agents, streaming AI applications, and vector database routing. Architect Kubernetes-based infrastructure across GCP, AWS, and Azure using Terraform, while supporting Spark and Airflow data pipelines, BigQuery, Snowflake, and governed data ecosystems. Lead technical advocacy, publish reusable architectures, and align research, engineering, and executive stakeholders.

Own full-cycle recruiting for technical, AI/ML, engineering, product, and GTM roles during a 6–12 month engagement. Responsibilities include developing sourcing strategies, mapping talent markets, partnering with hiring leaders, managing candidate processes, maintaining pipeline data, negotiating offers, improving interview processes, and advising on AI/ML hiring trends and compensation. This hands-on individual contributor role requires strong technical recruiting expertise, stakeholder influence, operational rigor, and candidate experience focus.

The Full-Stack Engineer will build and scale LLM-based applications, owning technical decisions and ensuring deployment in real customer environments while working directly with the founders and clients in a fast-paced setting.

Design and deploy LLM-powered agents, work with clients, maintain production infrastructure, optimize systems, and contribute to platform design.

The role involves owning customer success by translating needs into product workstreams, driving discovery, delivering solutions, and participating in hands-on deployments, focusing on finance and AI integration.

The Technical Project Manager will oversee project lifecycles, manage client relationships, coordinate cross-functionally, and ensure timely delivery of solutions for enterprise clients in the financial services sector.