Applied AI Engineer
Titan AI
•$150,000 - $175,000•Remote
About The Position
Titan builds AI software for banks: purpose-built small language models, a banking ontology, and AI bankers that financial institutions can trust. Our models outperform general-purpose LLMs by 30 to 80 percent on banking tasks. We operate under the compliance, audit, and model-risk standards that banking requires. This role sits across the AI Toolbelt and Product Engineering lanes, owning the production AI systems that bank employees use every day — agent workflows, retrieval pipelines, and LLM integration layers. We bring a problem and expect a working solution.
Requirements
- 5+ years software engineering; 2+ years building and shipping production agentic AI or RAG systems
- Agent framework experience: LangChain, LangGraph, PydanticAI, AutoGen, or Semantic Kernel
- RAG stack proficiency: embedding models, vector DBs (Pinecone, Weaviate, Milvus, FAISS), hybrid search, retrieval evaluation
- LLM integration depth: tool calling, structured outputs, multi-step reasoning, behavioral regression testing
- AI eval and observability tooling: LangSmith, RAGAS, DeepEval, Arize, Langfuse, or equivalent
- REST APIs, async Python, microservices; Azure cloud experience preferred
Nice To Haves
- Fintech, banking, or regulated industry experience
- Graph databases (Neo4j, ArangoDB, Dgraph) and MCP / connector architecture
- Multi-agent or planner-based AI architectures
- Multi-tenant SaaS with auditability and compliance requirements
Responsibilities
- Agent orchestration frameworks for multi-step reasoning, tool use, and constraint-based problem solving across banking workflows
- RAG pipelines covering embedding generation, chunking, hybrid retrieval, and retrieval evaluation, calibrated for banking document types
- LLM integration layers connecting banking models, APIs, and knowledge bases into reliable, auditable inference workflows
- Evaluation infrastructure including behavioral contracts, regression baselines, and production observability for non-deterministic AI outputs
- Backend services and APIs powering client-facing AI products at bank-tier uptime requirements
Benefits
- Competitive base and meaningful equity.
- Remote (US). Occasional travel to client sites and team offsites.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
