AI Specialist – Core

Biosphera.ntwk

. Build and evolve the platform’s shared AI capabilities, ensuring quality, traceability, security, model interchangeability, and cost control .

Posted 10/31/2026contractSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and evolving AI capabilities, focusing on quality, security, and cost control while implementing robust evaluation frameworks and observability practices. Proficient in collaborating across teams to deliver reusable AI services and components.

Highest-signal resume keywords

Hands-On Experience With LLMsStrong Foundation In Software EngineeringKnowledge Of AI SecurityExperience With LLMOpsAbility To Test Hypotheses

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

APIsPythonAI EvaluationModel RoutingPrompt StandardsEvaluation DatasetsAI ObservabilityCost OptimizationModel GatewaysOpen-Source Models

Soft Skills

CollaborationDocumentation

Tools & Technologies

AI ServicesDashboardsInference Infrastructure

Industry Keywords

RAGEmbeddingsTool CallingAI Red TeamingMemory Poisoning

Tech Stack

Tools & technologies

Open SourcePython

About the role

Key responsibilities & impact

Build and evolve the platform’s shared AI capabilities, ensuring quality, traceability, security, model interchangeability, and cost control
Design common orchestration, RAG, memory, model routing, context, tools, and policies
Create prompt standards, agent contracts, evaluation datasets, and minimum thresholds
Implement guardrails, AI observability, fallbacks, limits, and versioning for models, prompts, data, and tools
Evaluate providers, models, and configurations based on quality, latency, cost, retention, and risk
Support agents and complex use cases without adding use-case-specific customizations to the core without evidence of reuse
Investigate failures, hallucinations, prompt injection, memory poisoning, and unexpected behavior
Deliver reusable AI services and components for the platform
Develop an evals framework, model catalog, and usage policies
Create dashboards for AI quality, cost, latency, and failures
Collaborate with the Tech Lead, Solution Architect, Data Engineer, Factory Agents, QA, and DevOps teams

Requirements

What you’ll need

Hands-on experience with LLMs, RAG, embeddings, agents, tool calling, and AI evaluation
Strong foundation in software engineering, APIs, Python, and operating services in production
Knowledge of AI security, privacy, observability, and cost optimization
Ability to test hypotheses and document limitations, not merely demonstrate prompts
Preferred: experience with LLMOps, model gateways, evaluation platforms, or AI red teaming
Preferred: knowledge of open-source models and inference infrastructure

Benefits

Comp & perks

Bbistrô restaurant on-site (lunch and afternoon coffee)
BRL 50.00 per day via Ticket Flash for home-office days
Health insurance (SulAmérica) – Especial 100 plan (with copay)
Optional dental insurance
Life insurance (SulAmérica)
TotalPass (well-being and health program)
Birthday day off
13th salary payment
Paid vacation after one year of employment