AI Engineer: Build Real-World LLM Apps

Future; United States; Remote; USD 215,000 - 250,000; Full time

Benefits offered by this job

Equity

Health coverage

401(k) plan

Wellness stipend

Learning stipend

Flexible PTO

Future Membership

Job summary

Future is building a personalized guidance system for lifelong health. We’re seeking an Applied AI Engineer to design and ship AI‑powered features that improve our product and business outcomes.

You’ll own the full lifecycle from prototype to production, balancing performance, latency, and cost, and collaborating with product, mobile, and backend teams. The role emphasizes real‑world usage of LLMs, tooling, and structured outputs, with remote‑first work across the continental US and generous

Qualifications

• Strong Python skills and production experience.
• Experience with LangChain/LangGraph or similar.
• Hands-on experience with LLMs in production.
• Comfort with async Python, HTTP APIs, and streaming.
• Experience with data validation and schema design.
• Ability to debug from LLM tool calls to Terraform issues.
• Clear communication with product, mobile, and backend engineers.

Responsibilities

• Build and ship AI agents that serve real users: tool‑calling LLM systems with structured output, parallel API orchestration, and streaming responses.
• Design evaluation harnesses and quality scoring for safety, effectiveness, and personalization.
• Own the full loop: prototype a new agent capability, validate with evals, deploy to staging and production, monitor traces, and iterate.
• Improve reliability, latency, and cost through prompt caching strategies, token budgets, retry logic, and observability.
• Write the tools agents use: API integrations with Pydantic validation, exercise search over local databases, structured workout submission.

Skills

Python

LangChain/LangGraph

LLMs production

Async Python

HTTP APIs

Streaming protocols

Data validation (Pydantic)

Debugging across layers

Cross-functional communication

Tools

Pydantic

JSON Schema

Job description

Future is building a personalized guidance system for lifelong health. We’re seeking an Applied AI Engineer to design and ship AI‑powered features that improve our product and business outcomes.

You’ll own the full lifecycle from prototype to production, balancing performance, latency, and cost, and collaborating with product, mobile, and backend teams. The role emphasizes real‑world usage of LLMs, tooling, and structured outputs, with remote‑first work across the continental US and generous