ChatGPT Jobs · 2 days ago
Lead Software Engineer II, AI Operations
United States
Full-time
Remote
Senior Level, Lead/Staff
5+ years expBest Egg is hiring a Lead Software Engineer II for AI Operations to design, ship, and operate production-grade LLM applications, agents, and automations across the business. The role involves owning the end-to-end path from prototype to stable deployment, focusing on building RAG pipelines and driving cost/performance optimization.
Computer Software
Responsibilities
Build and ship LLM apps & agents: Deliver internal copilots and customer/agent-facing automations with clear SLAs, rollbacks, and observability from day one
Own RAG pipelines: Design ingestion, chunking, embeddings, indexing, hybrid search/rerank, and retrieval evaluation; track retriever quality via offline golden sets and online metrics
AWS Infrastructure & Orchestration: 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
Observability & SRE for AI: Add tracing, prompt/agent version lineage, eval dashboards, and regression alerts; establish golden datasets and canary tests
Guardrails & governance: Enforce PII redaction, safety filters, role-based access, audit logs, and human‑in‑the‑loop review paths to control quality and risk
CI/CD for AI artifacts: Version and deploy prompts, tools, agents, and retrieval pipelines; support blue/green and shadow deploys with automatic rollback triggers
Cost & performance: Cut run‑rate spend through caching, truncation, batching, autoscaling, and model routing; establish clear unit economics per workflow
Developer enablement: Provide templates, SDKs, and high‑quality abstractions that let product teams ship safely without bespoke plumbing; improve developer experience
Platform integration: 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
Production posture: Participate in on‑call, author runbooks, and remove single‑thread risk for AI services; drive reliability and resilience akin to ML Ops
Qualification
Required
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
Preferred
Fine‑tuning or distillation experience; Kubernetes or FastAPI exposure; familiarity with Snowflake or similar warehousing for retrieval sources
Benefits
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!
Company
ChatGPT Jobs
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2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase