Senior Applied AI Engineer

🔥 0 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $160k - $190k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Tango

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏗️ Construction

📦 Logistics

💼 Consulting

Construction • Logistics • Consulting

Tango is a software company that provides a connected intelligence platform for managing commercial real estate across the entire property lifecycle. Its SaaS products include portfolio strategy, site selection and predictive analytics, lease and transaction management, project and maintenance coordination, occupancy and workplace tools, and energy & sustainability (utility, emissions, and ESG reporting). Tango serves corporate real estate, retail, landlords, and government customers to optimize space, reduce costs, and meet sustainability goals.

📋 Description

• Build and ship Tango’s first AI-powered product • Design, build, and ship production AI agents on LangGraph • Own agents end to end, including graph design, tool definitions, prompt and context engineering, durable execution, failure and retry behavior, and cost and latency budgets • Build agent tooling against internal systems over MCP, using direct API calls and agent-to-agent interfaces where appropriate • Deliver human-in-the-loop review flows with interrupt points, confidence surfacing, and correction paths • Build and tune retrieval, including chunking, hybrid retrieval, grounding, and citation to source page and paragraph • Contribute agent evaluations using golden datasets, LLM-as-judge and deterministic scorers, and CI regression suites • Diagnose quality failures and correct retrieval, prompt, tooling, model, or ground-truth issues • Own agent-level safety behavior, including prompt-injection resistance, PII handling, refusal, and escalation paths • Partner with Product to translate accuracy thresholds, confidence disclosure, and human-in-the-loop triggers into shipped behavior • Work with Platform Engineering on deployment and Data Platform on curated datasets • Feed agent session and usage analytics into the warehouse • Transition reference agents to domain teams and contribute to the shared agent quality standard

🎯 Requirements

• 7+ years of professional software engineering experience • 2+ years building LLM-powered systems that reached production and real users • Strong expertise with Python and its service stack, including FastAPI, Pydantic, or equivalents • Experience with testing, code review, CI/CD, and production ownership • Production experience with an agent orchestration framework; LangGraph strongly preferred • Hands-on depth with at least one frontier model API • Hands-on experience with LLM evaluation, including golden datasets, LLM-as-judge, deterministic scorers, regression testing, and release gating • Experience with MCP tool servers or comparable tool and function-calling protocols • Experience with multi-agent patterns • Production RAG and retrieval experience, including chunking, hybrid retrieval, grounding, citation, and diagnosing retrieval failures • Experience with LLM observability and tracing, such as LangSmith, Langfuse, Arize, or equivalent • Experience with prompt and version management • Sound judgment regarding hallucination, prompt injection, and silent degradation • Preferred: graph-backed agent memory or knowledge graphs, such as Neo4j • Preferred: production vector and hybrid retrieval stores, such as pgvector, Pinecone, Weaviate, or Qdrant • Preferred: async task orchestration for long-running document pipelines, such as Celery/Redis or equivalent • Preferred: document intelligence and information extraction at scale, including OCR, layout-aware parsing, and structured extraction from long documents • Applicants must be authorized to work in the U.S. for any employer • Tango cannot sponsor employment-based visas at this time

🏖️ Benefits

• Health, dental, and vision insurance • 401(k) plan with company match • Generous paid time off • Fully remote work environment • Inclusive and collaborative culture • Equal opportunity employment