Artificial Intelligence Engineer Job at SR2 | Socially Responsible Recruitment |

We’re working with an early-stage AI startup that’s building systems to automate complex financial workflows using large language models.
They’ve recently raised and are now scaling the engineering team, looking to hire multiple engineers to help design and build their core product.
The work Building LLM-powered systems in production (not research)
Designing RAG pipelines and agent-based workflows
Working across backend, infra, and AI systems
Integrating models into real-world financial data and workflows
Improving performance, reliability, and evaluation of AI systems
This is hands-on, applied work — shipping real products used by customers.
What they’re looking for Experience building ML / AI systems in production
Strong Python and backend engineering skills
Hands-on experience with LLMs (RAG, agents, LangChain, etc.)
Experience working with APIs, data pipelines, and cloud infrastructure
Comfortable in a startup environment with a high level of ownership
Why this role Early team, high ownership
Real-world AI problems, not prototypes
Strong compensation + equity
Remote flexibility (NY-based team)
If you’re interested, happy to share more detail.

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In Summary: We're working with an early-stage AI startup that’s building systems to automate complex financial workflows using large language models . They’ve recently raised and are now scaling the engineering team, looking to hire multiple engineers to help design and build their core product . This is hands-on, applied work — shipping real products used by customers .

En Español:

Estamos trabajando con una startup de inteligencia artificial en etapa temprana que está construyendo sistemas para automatizar flujos de trabajo financieros complejos utilizando modelos de lenguaje grande. Recientemente han aumentado y ahora están ampliando el equipo de ingeniería, buscando contratar a varios ingenieros para ayudar a diseñar y construir su producto principal. El trabajo Construir sistemas basados en LLM en producción (no investigación) Diseñando oleoductos RAG y flujo de trabajo basado en agentes Trabajar a través de los sistemas backend, infra-tipo y AI Integrar modelos en datos financieros del mundo real y procesos de trabajo Mejorar el rendimiento, la fiabilidad y evaluación de sistemas de IA Esto es práctico, trabaja aplicada envío de productos reales utilizados por los clientes. Lo que buscan Experiencias en construcción de sistemas ML / Python y habilidades de fabricación Backend Ingeniería