Back
Mid-level popular software title with AI focus increases candidate density despite a non-Tier1 employer.
Core skills (Python, LLMs, cloud) are highly transferable across industries.
Explicit 5–7 years plus mandatory LLM, Python, cloud, Docker, and Kubernetes skills raise filter strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and operate production AI backend services, APIs, and platform components for institutional financial clients.
Develop and integrate LLM-powered systems such as RAG pipelines, AI SDKs, and agentic workflows, focusing on reliability, scalability, and observability.
Contribute to technical design, reduce technical debt, and establish AI-native development practices using agentic coding tools.
5+ years of work experience designing, building, and operating production software systems.
Proficiency with Python frameworks (FastAPI, Flask, or Django) and experience with AI/LLM-powered production systems.
Experience with cloud-native technologies: AWS, Docker, Kubernetes, relational/NoSQL databases, CI/CD, and observability in production.
Work Experience Required: 5+ years
Experienced backend engineer specialized in AI-native development and integration of AI/LLM systems in production environments.
Comfortable working independently with strong ownership, capable of collaborating across product and engineering teams to solve complex technical problems pragmatically.
Familiar with AI-native tooling and practices, including evaluation of AI-generated code and use of agentic coding workflows, preferably in fintech or financial services domain.