{"id":67853,"url":"https://alion.io/job/future-applied-ai-engineer","title":"Applied AI Engineer","company":{"id":171802,"name":"Future","domain":"future.co","url":"https://alion.io/company/future-3","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":215000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"LangChain","optional":false},{"name":"Langfuse","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Prompt Caching","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Pydantic","optional":false},{"name":"Python","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Datadog","optional":true},{"name":"OpenTelemetry","optional":true}],"status":"closed","first_seen_at":"2026-04-08T21:09:25Z","employer_posted_date":"2026-06-03","last_verified_at":"2026-10-20T16:20:59Z","board_verified":false,"closed_at":"2026-10-20T16:20:59Z","days_open":194,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":194},"description":"About Us:\nFuture is building a personalized guidance system for lifelong health. We help people understand what to do next for their body, goals, and stage of life - then support them in turning those decisions into sustained behavior change. By combining AI, human expertise, personal health data, and accountability, Future helps members improve performance today while building the resilience, capacity, and healthspan they need for decades to come.\nAbout the Role\nWe're looking for an Applied AI Engineer to help us build and ship AI-powered features that directly improve our product experience and business outcomes. This is a hands-on, product-focused role where you'll take ideas from concept to production - designing intelligent systems, validating them with real users, and turning them into reliable, scalable services.\nYou'll work at the intersection of AI, product, and engineering - partnering closely with cross-functional teams to identify high-impact opportunities, prototype quickly, and iterate based on data. This isn't a research-only role. You'll own the full lifecycle: experimentation, evaluation, deployment, monitoring, and continuous improvement.\nThe ideal candidate is excited about applying LLMs and modern ML tooling to real-world problems. You think in terms of systems, tradeoffs, and outcomes - not just models. You care about performance, quality, latency, and cost in production. Most importantly, you're motivated by shipping impactful AI experiences that customers actually use.\nWhat You'll Do\nBuild and ship AI agents that serve real users: tool-calling LLM systems with structured output, parallel API orchestration, and streaming responses.\nDesign evaluation harnesses and quality scoring - we use Langfuse, rubrics to measure safety, effectiveness, and personalization.\nOwn the full loop: prototype a new agent capability, validate it with evals, deploy it to staging and production, monitor traces, and iterate.\nImprove reliability, latency, and cost through prompt caching strategies, token budgets, retry logic, and observability.\nWrite the tools agents use: API integrations with Pydantic validation, exercise search over local databases, structured workout submission.\nWhat You Bring\nStrong Python skills: you've built and deployed services on large production systems.\nExperience with LangChain/LangGraph or similar agent frameworks.\nHands-on experience with LLMs in production: prompt engineering, tool/function calling, structured output, evaluation.\nComfort with async Python, HTTP APIs, and streaming protocols (SSE, webhooks).\nExperience with data validation and schema design (Pydantic, JSON Schema).\nAbility to debug across layers: from a broken LLM tool call to a misconfigured Terraform resource.\nClear communication: you'll work directly with product, mobile, and backend engineers.\nNice to Have\nFamiliarity with AWS (Bedrock, ECR, CloudFront, S3, Cognito) or other cloud agent hosting.\nObservability and tracing tools (Langfuse, OpenTelemetry, Datadog).\nExposure to evaluation frameworks: LLM-as-a-judge, automated scoring, dataset management.\nInfrastructure-as-code (Terraform, CDK).\nCompensation & Benefits\nWe believe great people should be well paid and meaningfully invested in what they're building.\nBase Salary $ 215,000- $ 250,000/ year + equity. The salary range is set based on multiple considerations including business needs, market demands, talent availability, experience, and unique skills and attributes. The base pay range is subject to change and may be modified in the future.\nEquity Equity participation offered alongside base compensation.\nHealth Coverage Comprehensive medical, vision, dental, and disability insurance plus tax savings accounts for all eligible employees.\nRetirement 401(k) plan with tax-advantaged savings options.\nRemote-First Employment eligible to all employees located anywhere in the continental US. No travel required.\nWellness & Development 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.\nFlexible Time Off Flexible PTO so you can rest, recharge, and take care of life outside of work.\nFuture Membership Enjoy our platform for free!\n\nLife at Future\nEquity: Meaningful equity package.\nHealth Coverage: All employees who meet eligibility requirements receive comprehensive medical, dental, vision, and disability insurance, plus tax-advantaged savings accounts.\nRetirement: 401(k) plan.\nWellness: Monthly wellness stipend for fitness, recovery, and overall wellbeing, plus access to mental health resources and therapy support.\nFlexible Time Off: Flexible PTO so you can rest, recharge, and take care of life outside of work.\nLearning & Development: Annual budget for courses, conferences, coaching, and tools that help you grow in your craft.\nFuture Membership: Enjoy our platform for free.\nEqual Employment Opportunities at Future\nWe are committed to building a future where every member of our community, is healthy, cared for, and advancing forward together. Future is an equal opportunity employer. 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