AI Engineer III - Agentic AI
Skills
APIBack-End Web DevelopmentCloud ComputingSoftware DevelopmentArtificial IntelligenceCoachingEngineering
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 4+ years of professional software engineering experience
- Hands-on experience with AI-powered features LLM applications or applied ML systems
- Solid engineering fundamentals in Python Go or TypeScript
- Familiarity with APIs basic cloud concepts and modern development practices
- Interest in agentic AI autonomy and AI-assisted development workflows
- Willingness to learn take feedback and grow technical ownership
- Comfort working in collaborative cross-functional teams
- Strong customer mindset and curiosity about real-world problem solving
Nice to have
- Fintech exposure
- Open-source contributor
- Hackathon participant
- Side-project builder
Day to day
- Design and implement LLM-powered and agentic AI product features that operate on real financial data.
- Build and extend intelligent workflows that reason over context call tools and take guided actions across complex tasks.
- Support retrieval-augmented generation pipelines shared AI infrastructure and production monitoring to improve reliability safety and performance.