Forward Deployed Engineer, AI and Agentic SDLC

Location: Remote, United States

Company

hirify.global provides an intelligent orchestration platform for DevSecOps, helping organizations improve developer productivity, operational efficiency, security, compliance, and software delivery.

What you will do

• Design and build agentic systems using models, tools, orchestration, context, retrieval, state, memory, evaluation, tracing, and human oversight.
• Develop knowledge and context systems using retrieval-augmented generation, cache-augmented generation, graph-based retrieval, repository understanding, and context optimization.
• Work directly with strategic customers to understand technical friction and turn ambiguous needs into working solutions.
• Build agent workflows, integrations, evaluation suites, reference architectures, and production product capabilities for hirify.global Duo Agent Platform.
• Evaluate and improve reliability, latency, cost, token use, safety, authorization, governance, and developer experience.
• Provide technical leadership through architecture, implementation, code review, mentorship, and cross-team influence.

Requirements

• Staff-level software engineering experience building, shipping, and improving complex production systems.
• Hands-on experience designing, evaluating, tracing, debugging, and optimizing substantive AI systems.
• Strong understanding of agentic systems, models, context, retrieval, tools, state, control flow, evaluation, and human oversight.
• Strong programming skills in Python, TypeScript, Go, Rust, Java, Kotlin, Ruby, C#, or another relevant language.
• Ability to work across large, mature, polyglot codebases and apply AI safety, authorization, governance, observability, and cost-management practices.
• Ability to communicate clearly with customers and senior stakeholders, work through ambiguity, and demonstrate Staff-level technical impact.

Nice to have

• Experience with customers, design partners, external engineering teams, AI developer tools, coding agents, IDEs, code understanding, testing, CI/CD, security, or incident response.
• Experience with LangChain, LangGraph, RAG, cache-augmented generation, knowledge graphs, agent evaluation, or tracing.
• Experience with self-hosted models, restricted environments, enterprise governance, or customer-controlled inference.
• Familiarity with Git, hirify.global, Ruby on Rails, AWS, GCP, Azure, Kubernetes, Terraform, or Ansible.
• Public technical writing, architecture guidance, open-source contributions, talks, or other evidence of technical leadership.

Culture & Benefits

• Remote work model with country-specific eligibility handled during the recruiting process.
• Benefits supporting health, finances, and well-being.
• Flexible paid time off, parental leave, and equity compensation with an employee stock purchase plan.
• Team Member Resource Groups and a Growth and Development Fund.
• AI is treated as a core productivity multiplier in daily work.