Senior Forward Deployed Engineer (AI)

Location: United States - Remote

Salary: $156,190.05-$211,315.95 annually

Company

hirify.global is a biotechnology company developing and delivering medicines across oncology, inflammation, general medicine, and rare disease.

What you will do

• Lead discovery by clarifying business workflows, users, outcomes, value hypotheses, acceptance criteria, data readiness, and production constraints.
• Translate complex problems into solution designs, delivery plans, technical workstreams, milestones, dependencies, risks, and release approaches.
• Build and review production components, including AI-enabled applications, RAG systems, bounded agents, intelligent automation, APIs, and enterprise integrations.
• Define integrated architectures spanning applications, workflows, data and knowledge pipelines, models, retrieval, agents, identity, access controls, observability, and human review.
• Coordinate full-stack engineering, data science, ML, testing, platform, security, compliance, and business teams.
• Establish AI evaluation, governance, CI/CD, staged release, monitoring, rollback, recovery, runbooks, early stabilization, and transition to operations.

Requirements

• Doctorate with 1+ year, master’s degree with 8–10 years, bachelor’s degree with 10–12 years, or diploma with 12–14 years of experience in computer science, IT, or a related field.
• Strong hands-on proficiency in Python and SQL, with experience designing or reviewing production software, APIs, services, data flows, evaluation pipelines, and enterprise integrations.
• Experience delivering at least one production AI, ML, software, data, or automation solution with a measurable enterprise outcome.
• Advanced capability in applied AI/ML, GenAI/RAG/agents, full-stack and integration engineering, or AI platform/MLOps, with breadth across the production lifecycle.
• Experience with cloud-native services, containers, CI/CD, infrastructure as code, observability, SLOs, staged releases, rollback, incidents, disaster recovery, and MLOps/LLMOps.
• Experience in life sciences, biotechnology, pharmaceuticals, healthcare, GxP, or validated systems is preferred.

Nice to have

• Experience with AWS, Bedrock, SageMaker, Databricks, Spark, Kubernetes, MLflow, Airflow, or Kubeflow.
• Advanced retrieval and agent systems experience, including hybrid or graph retrieval, knowledge graphs, source verification, MCP-style integration, and adversarial testing.
• JavaScript or TypeScript, modern web applications, API gateways, distributed workflows, process automation, document or vision capabilities, and human-AI review experiences.
• Experience building reusable frameworks, accelerators, standards, platform capabilities, and mentoring others.

Culture & Benefits

• Collaborative, innovative, and science-based working environment.
• Health, dental, vision, life, disability, and flexible spending benefits for eligible staff and dependents.
• Retirement and savings plan with company contributions.
• Discretionary annual bonus program and stock-based long-term incentives.
• Award-winning time-off plans and career development opportunities.
• Flexible work models where applicable.