Back
Mid competition: metro role, mid-level seniority, hybrid work, but niche AI-agent specialization lowers density.
Medium - AI agent and fullstack skills transfer across industries, but finance domain and agentic experience favor domain-specific hires.
Medium - explicit 5+ years requirement and technical AI/fullstack experience required, preferred qualifications optional.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and own AI-powered financial technology solutions including agentic protocols and LLM-based agents, ensuring scalability and efficiency.
Lead full stack development tasks across frontend, backend, and UI/UX, including coding, testing, and code reviews.
Mentor junior engineers and manage production incident triage for systems under ownership.
Bachelor's Degree in Computer Science or related field, or equivalent experience.
Minimum 5 years of experience in full stack software development covering SDLC, frontend, backend, and UI/UX engineering.
Experience with AI/ML, Generative AI, or agentic systems not mandatory but preferred.
Work environment is hybrid office based; no strict onsite location explicitly mentioned.
Experienced in building production backend services and public-facing frontend interfaces with strong full stack capabilities.
Familiar with AI/ML technologies and frameworks such as LLM-powered applications, LangChain, LangGraph, or AutoGen.
Operates with ownership mindset over entire development lifecycle including testing, deployment, and incident management, suitable for hybrid corporate settings.