Senior AI Engineer
Apollo Solutions · apollo-solutions.com
New YorkHybridSenior5+ yrs
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The job in short
Building AI systems.
PythonAWSLLMsRAGAgentic
Details
- Found
- 12 d ago · posted 2026-10-17
- Location as listed
- New York, New York, United States
- Role
- Machine Learning / AI Engineer
- Source
- The company’s own careers site
Full description
Senior AI Engineer - New York
Location: New York, NY (Hybrid, 3 days per week in the office)
Employment Type: Full Time
Overview of the Role My client is a venture backed startup based in New York that is building AI-powered solutions for the financial services industry. They are looking for a Senior AI Engineer to help design, build and scale the next generation of their AI platform and product capabilities.
This role is focused on developing production grade AI applications, with a particular emphasis on multi-agent systems, intelligent workflows and AI-driven automation. The successful candidate will have experience operating in fast-paced startup environments and be comfortable taking ownership of products from concept through to production.
Startup Experience Required: Experience working in Pre-Seed, Seed, Series A, Series B, or Series C companies.
Responsibilities
• Design, build and deploy production grade AI applications.
• Develop and scale multi-agent systems and agent orchestration frameworks.
• Build intelligent workflows, automation capabilities and AI-driven user experiences.
• Develop scalable Python services and backend applications.
• Work closely with product, engineering and business stakeholders to define and deliver new AI capabilities.
• Contribute to platform architecture and engineering best practices.
• Improve system reliability, performance and scalability across AI services.
• Support the deployment and operation of AI solutions in production environments.
Requirements
• 5+ years of experience building production grade AI systems.
• Strong Python engineering and software development experience.
• Hands-on experience building multi-agent systems and agentic AI applications.
• Experience deploying AI solutions into production environments.
• Strong AWS experience and knowledge of cloud native architectures.
• Experience working with LLMs, RAG architectures and agent orchestration frameworks.
• Strong understanding of APIs, distributed systems and scalable backend development.
• Experience working in startup environments, ideally from Pre-Seed through Series C.
• Proven experience building and scaling products in high growth companies.
• Comfortable taking ownership in a fast paced environment.
• Strong communication skills and the ability to work closely with technical and non technical stakeholders.
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