Lead Software Engineer II, AI Operations

🕒 Janeiro 19

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Best Egg

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2014

💸 Finanças

💳 Fintech

👥 B2C

Finance • Fintech • B2C

A Best Egg é uma empresa de empréstimos que oferece uma gama de produtos e serviços financeiros, incluindo empréstimos pessoais, consolidação de dívidas, refinanciamento de cartões de crédito e empréstimos garantidos utilizando a equidade do veículo ou descontos para proprietários de imóveis. A empresa enfatiza o serviço financeiro rápido e sem complicações, com uma plataforma online que permite aos usuários gerenciar suas contas, visualizar ofertas e acessar vários recursos de saúde financeira. A Best Egg visa apoiar os clientes na construção de um futuro financeiro mais brilhante, oferecendo taxas competitivas e termos de empréstimo personalizados. Os empréstimos da Best Egg são facilitados por meio de parcerias com bancos e estão disponíveis em vários montantes, com termos e condições flexíveis.

Descrição

• Deliver internal copilots and customer/agent-facing automations with clear SLAs, rollbacks, and observability from day one. • Design ingestion, chunking, embeddings, indexing, hybrid search/rerank, and retrieval evaluation; track retriever quality via offline golden sets and online metrics. • Design and implement scalable AWS architectures, including AWS AI features such as Bedrock, IAM, knowledge bases, secure secrets and policy enforcement, automated provisioning, and resource-usage governance as core platform capabilities. • Add tracing, prompt/agent version lineage, eval dashboards, and regression alerts; establish golden datasets and canary tests. • Enforce PII redaction, safety filters, role-based access, audit logs, and human-in-the-loop review paths to control quality and risk. • Version and deploy prompts, tools, agents, and retrieval pipelines; support blue/green and shadow deploys with automatic rollback triggers. • Cut run-rate spend through caching, truncation, batching, autoscaling, and model routing; establish clear unit economics per workflow. • Provide templates, SDKs, and high-quality abstractions that let product teams ship safely without bespoke plumbing; improve developer experience. • Build primarily in Python and Metaflow (Outerbounds); deploy on AWS (Bedrock + core services) and OpenAI; use Cursor in daily workflows; help evaluate and, when appropriate, run on Databricks. • Participate in on-call, author runbooks, and remove single-thread risk for AI services; drive reliability and resilience akin to ML Ops.

🎯 Requisitos

• 5–10 years of professional software engineering (or equivalent) with 2+ years building AI/LLM applications; portfolio of shipped AI projects (links to code, demos, or case studies). • Demonstrated passion for relentless exploration of the latest AI models, frameworks, and tooling, ensuring constant adoption of state-of-the-art innovations in the workflow. • Hands-on with some/all of OpenAI, Bedrock, Huggingface/Ollama/vLLM; MCP servers and function/tool calling, multi-turn orchestration, streaming, and prompt/version management. • Practical experience designing and tuning retrieval systems (chunking, embeddings, hybrid search, reranking), integration with vector database, and measuring retrieval quality. • Comfortable building APIs/services and simple UIs where needed; strong fundamentals in Python and modern packaging/testing. • CI/CD, containers, cloud fundamentals (AWS), and runtime performance tuning; experience operating services in production. • Metaflow (Outerbounds) preferred; Databricks familiarity is a plus; ability to integrate data/feature pipelines and schedule/operate flows. • Tracing and logging, expertise in tools like Datadog, Dynatrace or Grafana where relevant for AI monitoring is essential. • Comfortable optimizing latency/throughput/cost, and implementing guardrails for PII/safety/compliance. • Partner effectively with data scientists, analysts, and engineers; promote best practices and high-leverage abstractions. • Fine-tuning or distillation experience; Kubernetes or FastAPI exposure; familiarity with Snowflake or similar warehousing for retrieval sources.

🏖️ Benefícios

• Pre-tax and post-tax retirement savings plans with a competitive company matching program • Generous paid time-off plans including vacation, personal/sick time, paid short-term and long-term disability leaves, paid parental leave, and paid company holidays • Multiple health care plans to choose from, including dental and vision options • Flexible Spending Plans for Health Care, Dependent Care, and Health Reimbursement Accounts • Company-paid benefits such as life insurance, wellness platforms, employee assistance programs, and Health Advocate programs • Other great discounted benefits include identity theft protection, pet insurance, fitness center reimbursements, and many more!