Senior AI Software Engineer

Job not on LinkedIn

🕒 April 8

🇺🇸 United States – Remote

💵 $215k - $250k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 35%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Future

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1985

💼 Consulting

📣 Marketing

✈️ Travel

Consulting • Marketing • Travel

Future is home to the world's top specialist media brands, reaching 1 in 3 adults online in the US and the UK. The company connects people to their passions through high-quality content and innovative technology. It is committed to making a positive societal impact and ensuring a sustainable future for both the planet and communities.

📋 Description

• 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 — we use Langfuse, rubrics to measure safety, effectiveness, and personalization. • Own the full loop: prototype a new agent capability, validate it with evals, deploy it 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.

🎯 Requirements

• Strong Python skills: you've built and deployed services on large production systems. • Experience with LangChain/LangGraph or similar agent frameworks. • Hands-on experience with LLMs in production: prompt engineering, tool/function calling, structured output, evaluation. • Comfort with async Python, HTTP APIs, and streaming protocols (SSE, webhooks). • Experience with data validation and schema design (Pydantic, JSON Schema). • Ability to debug across layers: from a broken LLM tool call to a misconfigured Terraform resource. • Clear communication: you'll work directly with product, mobile, and backend engineers.

🏖️ Benefits

• Comprehensive medical, vision, dental, and disability insurance plus tax savings accounts for all eligible employees. • 401(k) plan with tax-advantaged savings options. • Monthly health and fitness stipend contributing to overall wellbeing, access to a mental health platform, reimbursement for medical travel, and an annual learning & development stipend. • Flexible PTO so you can rest, recharge, and take care of life outside of work. • Enjoy our platform for free!