Staff Software Engineer, Applied AI

🔥 20 minutes ago

🇺🇸 United States – Remote

💵 $160k - $200k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 5%

What it means: the chance that no one is really hiring for this job.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.

Apply Now

Find Similar Remote Jobs

TopDog Law

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

💼 Consulting

📣 Marketing

⚖️ Legal

Consulting • Marketing • Legal

TopDog Law is a national marketing network and personal injury law firm brand that connects injured individuals with local counsel across the United States. The organization (including Helm Law Group, LLC) focuses on accident and injury cases — car and truck accidents, medical malpractice, birth injuries, nursing home abuse, sexual abuse, slip-and-fall, workers' compensation, and wrongful death — offering free case reviews and contingency-fee representation. TopDog Law operates a network of partner firms licensed in different states, maintains multiple offices nationwide, and emphasizes client communication, advertising-driven outreach, and connecting clients to local licensed attorneys.

📋 Description

• Architect and build internal tools and platforms for operations teams from design through deployment and ongoing operation • Own reliability and incident follow-through • Define service boundaries, integration patterns, data flows, technical strategy, and RFCs across teams • Reduce operational toil through system retirement, consolidation, tech debt management, and migrations • Build reliable legacy and third-party SaaS integrations with security, access control, and audit trails • Identify appropriate applications for AI and design retrieval, agent, LLM-powered, and workflow automation features • Run time-boxed proofs of concept and advance successful concepts into production-ready solutions with evaluation, observability, reliability, and security • Assess AI maturity, define a practical roadmap, and track AI cost and ROI • Design data models and instrumentation that generate clean, usable analytics data • Align teams on shared platforms, standards, and tradeoffs across competing priorities • Lead code reviews, design reviews, and engineering standards, using AI coding tools such as Claude Code and GitHub Copilot • Mentor engineers and advise stakeholders and leadership on technical tradeoffs and decisions

🎯 Requirements

• 10+ years of professional software engineering experience • Staff or Principal-level scope, including leading architecture or major technical initiatives across multiple teams • Hands-on experience building applications with LLMs and generative AI in production • Experience operating AI systems at scale and measuring outcomes • Experience rolling out agentic systems into production, including evaluation, guardrails, and monitoring • Strong backend and systems design skills, including APIs, data modeling, cloud infrastructure, and legacy and third-party SaaS integrations • Reliability engineering experience, including SLOs, idempotency, retries, partial failure handling, and data consistency • Experience building systems that handle sensitive data, including access control, audit trails, and PII and privileged data handling • Experience with tech debt strategy, migrations, and system deprecation • Experience designing data models and instrumentation for analytics • Working knowledge of RAG, embeddings, vector search, prompt, harness, and context engineering, tool use and agents, and evaluation methods • Ability to weigh build-versus-buy tradeoffs against cost, complexity, and business value • Strong communication skills, including explaining AI concepts to non-technical audiences and driving decisions to closure • Preferred: experience with vector databases and search technologies • Preferred: experience with modern data stacks such as BigQuery, Snowflake, or dbt • Preferred: experience building internal tools or platforms for operations teams • Preferred: familiarity with ML fundamentals, fine-tuning, or model evaluation frameworks • Preferred: experience with AI cost management, including token usage, model selection, and caching • Preferred: background in legal or financial services

🏖️ Benefits

• Medical, dental, and vision insurance • 401(k) with company match • HSA • Life insurance • Disability coverage • Paid time off • Parental leave

📊 Check your resume score for this job

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

Upload Resume