Senior Software Engineer (AI)

TL;DR

Senior Software Engineer (Applied AI): Building and shipping LLM-powered systems that transform operations and infrastructure teams at scale with an accent on improving reliability, velocity, and efficiency. Focus on designing and maintaining evaluation frameworks for LLMs, developing RAG pipelines, and creating frameworks for large-scale automation.

Location: Remote (United States)

Salary: $140,000 - $215,000 per year (USD)

Company

hirify.global is a global leader in cybersecurity, protecting organizations with the world's most advanced AI-native platform, processing nearly 3 trillion events per day.

What you will do

• Build and ship LLM-powered systems that reduce toil, accelerate remediation, and improve decision-making in operations contexts.
• Design and maintain evaluation frameworks, including hallucination tests, regression harnesses, benchmarks, and quality gates for safe rollout.
• Develop retrieval-augmented pipelines (RAG) and data strategies for grounding on operational data.
• Engineer AI copilots and natural-language interfaces to interact with operational data and workflows.
• Create frameworks for large-scale automation, such as safe code migration and transformation pipelines.
• Partner across teams including AI Platform, SRE, Security, and Infrastructure Foundations.
• Implement guardrails and safety systems, including prompt injection defenses and PII filtering.
• Build developer-facing SDKs and APIs in Python/Go, and intuitive UIs in JavaScript/React for human-in-the-loop workflows.

Requirements

• Proven experience shipping LLM-based systems into production with measurable impact.
• Expertise in evaluation and testing of LLMs (benchmarks, hallucination/regression tests, grounding metrics).
• Strong programming skills in Python and Go.
• Hands-on experience with LLM orchestration frameworks (LangChain, LangGraph, MCP, agent frameworks, or equivalent).
• Deep understanding of RAG pipelines (embeddings, retrieval quality metrics, re-ranking, and grounding precision/recall).
• Ability to translate ambiguous operational problems into AI-first solutions with clear KPIs.
• This role will require the candidate to periodically undergo and pass additional background and fingerprint check(s) consistent with government customer requirements.

Nice to have

• Experience with fine-tuning/adapters (LoRA, QLoRA, continual learning) and safety tuning.
• Exposure to inference optimization and serving, partnering with platform teams on latency, scaling, and resilience.
• Experience building AI copilots/assistants for engineers.
• Frontend development in JavaScript/React for lightweight human-in-the-loop tooling.
• Knowledge of reinforcement learning, adaptive systems, or optimization methods.

Culture & Benefits

• Remote-friendly and flexible work culture.
• Market leader in compensation and equity awards.
• Comprehensive physical and mental wellness programs.
• Competitive vacation and holidays for recharge; paid parental and adoption leaves.
• Professional development opportunities for all employees.
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections.