Thunes is seeking a highly driven AI Engineer to build the 'AI Operating System' for a high-growth Fintech company. The role involves developing production-grade RAG workflows, multimodal reasoning pipelines, and stateful agentic systems.
Requirements
- 5+ years of total AI engineering experience
- 2+ years of hands-on experience building and deploying NLP or GenAI solutions in production
- Multi-Cloud Fluency: Expertise in architecting solutions on major cloud platforms (e.g. AWS, GCP)
- Mastery of GenAI Orchestration: Expert level skills in LangChain or LangGraph (specifically for stateful, multi-turn agents)
- Experience in Evaluation & Monitoring: Proficiency with open source tools for testing (e.g. DeepEval)
- Passionate about MLOps: Ability to write GitLab CI pipelines (automated testing, linting, scanning)
- Holding a Bachelor’s degree in a STEM field (Computer Science, Engineering, Mathematics, Physics)
- Python Expertise: Proficiency with data validation (e.g. Pydantic) and asynchronous REST APIs (e.g. FastAPI)
- Retrieval Engineering: Hands-on experience managing vector databases (e.g. Vertex AI Vector Search, Weaviate, Milvus or pgvector)
- Experience in Security & Red Teaming: Knowledge of adversarial testing frameworks (e.g. Giskard, PyRIT)
- Interest in the Fintech Industry: Prior experience in Payments, Banking or Finance Services is strongly preferred
- Certifications: Google Professional Machine Learning Engineer / AWS Certified Machine Learning - Specialty is highly preferred
Benefits
- 401k Matching
- Retirement Plan