Forward Deployed Agile Software Engineer (AI)

Location: Remote Office; occasional travel for client workshops or on-site delivery may be required.

Company

hirify.global is a digital innovation firm that partners with organizations to build digital products, modernize technology platforms, and apply emerging technologies such as artificial intelligence.

What you will do

• Partner with clients and internal teams to understand business objectives, workflows, technical environments, data, and operational constraints.
• Translate ambiguous business challenges into technical requirements, architectures, prototypes, and delivery plans.
• Build AI-enabled applications, agentic workflows, APIs, data pipelines, developer tools, and full-stack products.
• Design AI harnesses, agent loops, tools, context, memory, permissions, safeguards, observability, and human approval controls.
• Create evaluation frameworks and production monitoring for task completion, accuracy, reliability, safety, latency, cost, and user value.
• Integrate and troubleshoot solutions across client systems, enterprise data sources, cloud platforms, third-party services, and deployment pipelines.

Requirements

• Professional experience building and deploying production-grade software, ideally including AI-powered or agentic systems.
• Strong proficiency in Python, TypeScript, or another language used for AI applications and developer tooling.
• Practical experience with agent loops, graph-based orchestration, state machines, multi-step workflows, evaluation systems, and AI observability.
• Strong knowledge of APIs, distributed systems, databases, cloud infrastructure, and modern software-development practices.
• Ability to move from ambiguous customer problems to validated prototypes and secure, maintainable production systems.
• Strong communication, product judgment, ownership, curiosity, and ability to collaborate directly with clients and cross-functional teams.

Nice to have

• Experience with agent frameworks, workflow engines, coding agents, custom model orchestration, tool interfaces, sandboxes, and human-in-the-loop controls.
• Familiarity with retrieval-augmented generation, embeddings, vector search, knowledge graphs, fine-tuning, model routing, and multi-agent systems.
• Experience with AI security, observability, adversarial testing, production feedback, and evaluation tooling.
• Experience with AWS, Microsoft Azure, Google Cloud, containers, Kubernetes, infrastructure as code, or CI/CD tooling.
• Consulting, professional services, solutions engineering, sales engineering, regulated enterprise, or open-source AI infrastructure experience.

Culture & Benefits

• Work on high-impact challenges across industries and technology domains.
• Build production systems and real products while working directly with clients.
• Explore emerging approaches to AI, agentic systems, product development, and software delivery.
• Collaborate with multidisciplinary teams that value experimentation, continuous learning, ownership, transparency, and diverse perspectives.
• Contribute to reusable technical practices and patterns across future client engagements.