Applied AI Engineer

Job not on LinkedIn

🕒 May 28

🇺🇸 United States – Remote

💵 $150k - $175k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 54%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Titan AI

WebsiteLinkedInAll Job Openings

1 - 10 employees

🎮 Gaming

🥽 AR/VR

🤖 Artificial Intelligence

Gaming • AR/VR • Artificial Intelligence

Titan AI is a company focused on developing mobile role-playing games (RPGs) that incorporate artificial intelligence (AI) companions. Their first game, titled 'Hell Rush', is set to be released in July 2024.

📋 Description

• 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

🎯 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

🏖️ Benefits

• Competitive base and meaningful equity. • Remote (US). Occasional travel to client sites and team offsites.