A financial technology organization is hiring an AI Engineer III - Agentic AI to join its growing engineering team. This full-time opportunity focuses on building production-grade AI systems powered by LLMs, agentic workflows, and cloud-native infrastructure. You'll work with technologies including Python, Go, TypeScript, Kubernetes, AWS/GCP, and modern AI tooling while developing systems that operate on real financial data and support customer-facing products.
This is an excellent opportunity for engineers who want to move beyond experimentation and help deliver AI solutions at scale. You'll gain exposure to agentic architectures, retrieval-augmented generation (RAG), evaluation frameworks, and production operations while working alongside experienced engineers in a highly collaborative environment. The team is looking for someone who enjoys learning, solving complex problems, and helping shape the future of AI-powered financial products.
Required Skills & Experience 4+ years of professional software engineering experience
- Strong proficiency in Python, Go, or TypeScript
- Experience building and maintaining APIs and backend services
- Familiarity with AWS and/or GCP cloud environments
- Understanding of modern software development practices and distributed systems
- Hands-on experience building AI-powered features, LLM applications, or ML-driven products
- Experience collaborating within cross-functional engineering teams
- Strong problem-solving abilities and customer-focused mindset
Desired Skills & Experience - Experience building agentic AI applications or autonomous workflows
- Knowledge of retrieval-augmented generation (RAG) architectures
- Exposure to vector databases, embedding pipelines, and semantic retrieval systems
- Familiarity with agent orchestration frameworks and evaluation tooling
- Experience working in fintech or other regulated environments
- Contributions to open-source software, hackathons, or personal AI projects
- Understanding of structured outputs, schema validation, and governance controls
What You Will Be Doing - Design and implement LLM-powered product capabilities
- Build agentic workflows that reason over context, utilize tools, and execute actions
- Develop and maintain RAG pipelines for financial datasets
- Contribute to shared AI platforms, orchestration services, and monitoring solutions
- Improve reliability, performance, and observability of production AI systems
- Partner with product and design teams to turn customer needs into technical solutions
- Support responsible AI development through robust security, auditability, and governance practices
The Offer - Medical, Dental, and Vision Insurance
- Vacation Time
Specialization : 
