Senior AI Engineer – LLM Systems & RAG Optimization

Texas Sports Academyvia SimplyHired

RemotoRemotoSêniorCLT11 dias atrás

Salário Estimado

R$ 13.915,00 - R$ 20.873,00

Tecnologias

Python API IA

0de 100

Regular

Score da Vaga

Descrição da Vaga

Senior AI Engineer – LLM Systems & RAG Optimization Location: Remote (Global) Type: Full-Time or Contract Company: Texas Sports Academy About Us Texas Sports Academy is building the future of education for athletes.

We combine elite athletic training with serious academics — and we’re scaling rapidly.

We already have a parent-facing AI SMS chatbot live in production.

It works.

Now we need someone exceptional to make it world-class.

This is not a “call the OpenAI API” role.

This is a systems, evaluation, and scaling role.

What You’ll Own You will improve and scale our parent SMS AI chatbot used by thousands of families.

This includes:

•Optimizing and redesigning our RAG architecture

•Reducing hallucinations and irrelevant retrieval • Improving latency and token efficiency

•Building robust evaluation pipelines • Implementing LLM observability and monitoring

•Designing cost-efficient scaling infrastructure • Improving conversation memory and routing logic

•Hardening guardrails for real-world usage You will operate as the AI systems architect for this product.

Required Experience You must have real production experience building and scaling LLM systems.

We’re looking for:

•3+ years in applied ML or NLP

•Strong Python skills • Deep experience with RAG systems

•Experience with vector databases (Pinecone, Weaviate, FAISS, etc.) • Experience optimizing chunking & embedding strategies

•Experience evaluating LLM systems beyond subjective review • Familiarity with LLM observability tools (LangSmith, Helicone, PromptLayer, etc.)

•Experience deploying scalable AI systems in production You should be able to:

•Architect a full RAG pipeline from scratch

•Diagnose retrieval failures • Build evaluation datasets

•Optimize for cost at scale • Explain tradeoffs clearly Bonus Points

•Experience with SMS-based AI systems • Experience with multi-model routing

•Experience with context compression • Startup experience

•Strong system design background What Success Looks Like Within 90 days:

•Hallucination rate meaningfully reduced

•Retrieval accuracy measurably improved • Cost per conversation reduced

•Clear evaluation metrics implemented • Observability dashboard live

•Scalable architecture roadmap in place Take-Home Evaluation You’ll be asked to: Audit our existing SMS chatbot and deliver a structured improvement plan including:

•Architecture critique

•Retrieval optimization suggestions • Hallucination reduction strategies

•Scaling plan • Metrics & evaluation framework

•30 / 60 / 90-day roadmap Time expectation: 4–6 hours.

Compensation Competitive.

Open to global talent.

Contract or full-time available.

If you’ve built real AI systems — not demos — we want to talk.

Job Type: Full-time Pay: $250,000.00 - $300,000.00 per year Work Location: Remote

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RemotoSim

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Publicada11 dias atrás

FonteSimplyHired

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