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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

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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Informações

NívelSênior
ContratoCLT
LocalRemoto
RemotoSim
MoedaBRL
Publicada11 dias atrás
FonteSimplyHired

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