Senior AI Engineer

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🕒 Agosto 13, 2025

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AI Technology Partners

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2020

🤖 Inteligência Artificial

🤝 B2B

🏢 Corporativo

Artificial Intelligence • B2B • Enterprise

A AI Technology Partners é um provedor líder de soluções de IA generativa, projetadas para promover impacto nos negócios e melhorar a eficiência operacional nas empresas. Eles oferecem serviços de IA generativa personalizados que visam aumentar a produtividade dos funcionários, reduzir custos e otimizar processos operacionais críticos em várias funções de negócios, incluindo marketing, vendas e recursos humanos. Com foco na implementação prática e treinamento abrangente, a AI Technology Partners garante que os clientes aproveitem efetivamente o poder da IA para obter vantagens competitivas em seus respectivos mercados.

Descrição

• This is a remote position. • Senior AI Engineer, Agentic Systems: design multi-agent architectures with robust state management, memory, and routing. • Evaluate frameworks (LangGraph/LangChain Agents, AutoGen, CrewAI, LlamaIndex Agents, Semantic Kernel, Haystack) and tool-calling patterns. • Build modular components (planners, tool registries, policy guards, evaluators) reusable across clients. • Integrate enterprise tools/data via function/tool calling, webhooks, event-driven flows. • Implement RAG with vector stores (Azure AI Search, pgvector, MongoDB Atlas, Pinecone, Weaviate, Milvus) and structured knowledge. • Add deterministic fallbacks, circuit breakers, caching to reduce latency/cost. • Define SLIs/SLOs; implement tracing, metrics, and logging; dashboards for run-level analytics. • Create evaluation harnesses (Ragas, DeepEval, promptfoo) to measure groundedness, task success, safety, and cost. • CI/CD, environment promotion, feature flags, and canary strategies; optimize cost-per-task and time-to-success. • Enforce content and safety policies; role/tenant isolation and data minimization. • Collaborate with security teams to ISO 27001/SOC 2/NIST/HIPAA/GDPR contexts; deliver audit-ready evidence for agentic workflows. • Build privacy-first patterns (no data exfiltration by default, least-privilege tool access, secure prompt/trace storage). • Work directly with enterprise client teams to translate business processes into agentic designs; present trade-offs and proofs-of-value that lead to production. • Partner with solution leads to create domain-specific agents and reusable templates.

🎯 Requisitos

• 5–8+ years in software/platform engineering with recent production LLM applications (not just prototypes). • Hands-on expertise with agentic frameworks (one or more of: LangGraph/LangChain Agents, AutoGen, CrewAI, LlamaIndex Agents, Semantic Kernel, Haystack Agents) and tool/function-calling patterns. • Strong RAG engineering across vector DBs, chunking/embedding strategies, metadata/search ranking, and grounding techniques. • Proven track record building observable, cost-aware, and secure LLM systems (tracing, evals, guardrails, secrets/IAM, PII handling). • Solid software engineering fundamentals: Python/TypeScript, async patterns, APIs, testing, CI/CD, containerization. • Clear communicator who can interface with clients and write crisp technical docs. • Azure-first experience (Azure OpenAI, Azure AI Studio, Azure Functions/Container Apps/AKS, Private Link/VNet, Key Vault, Entra ID). • Cross-cloud exposure (AWS/GCP) and hybrid integrations; experience with enterprise connectors (SharePoint/OneDrive, ServiceNow, Salesforce). • Experience with structured output, constrained decoding, JSON Schemas, and program-of-thought planning.

🏖️ Benefícios

• Ownership & velocity: Small team, big surface area. You’ll design, ship, and iterate quickly. • Security by design: Data governance and safety are table stakes, not afterthoughts. • Evidence over vibes: We measure task success, grounding, and cost—and improve with data. • AI as leverage: We use LLMs to accelerate engineering—not replace it. • Compensation: Competitive salary or hourly rate, commensurate with experience and engagement model. • What we offer: • Challenging work on meaningful, production agentic systems for enterprise clients. • Learning & sharing culture with deep dives, brown bags, and support for certifications/publication. • Inclusive, flexible workplace —bring your whole self; work where you do your best thinking.