Forward Deployed Engineer

redcellpartners; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Paid parental leave

Flexible paid time off

Job summary

redcellpartners is seeking an experienced software engineer to build AI-enabled software for customer environments, guiding architecture decisions and leading delivery from prototype to production, including in regulated settings.

You will work directly with customers to understand operations, develop reusable platform capabilities, and own end-to-end delivery across architecture, testing, and deployment.

Qualifications

• Eight years of software engineering experience delivering production systems.
• Experience applying AI or machine learning, including LLM techniques such as retrieval, guardrails, or evaluations, to practical problems.
• Background in scalable system design and backend engineering, distributed systems, APIs, data pipelines, cloud infrastructure, or applied AI.
• Ability to work across application code, integrations, infrastructure, and deployment when needed.
• Strong debugging and communication skills, including ability to convey decisions to technical and non-technical stakeholders.

Responsibilities

• Learn customer workflows, data environments, constraints, and priority use cases; translate into technical plans and product feedback.
• Build and deploy AI applications, agents, and workflow automation using retrieval-augmented generation, guardrails, and evaluations.
• Develop platform features and customer integrations, including backend services, APIs, data connections, and deployment components.
• Own delivery end to end: architecture, testing, observability, deployment, customer validation, and operational readiness.
• Integrate with customer systems, identity providers, data sources, and cloud or on-premises infrastructure; troubleshoot across layers.
• Coordinate with product, engineering, security, and customer teams to ensure reliable, secure, auditable solutions.

Job description

Role overview

Build AI-enabled software for customer environments while contributing reusable capabilities to a shared platform. You'll work directly with customers to understand their operations, make architecture decisions, and lead delivery from early prototype through production, including in sensitive or regulated settings.

Responsibilities

• Learn customer workflows, data environments, constraints, and priority use cases; turn findings into technical plans and product feedback.
• Build and deploy AI applications, agents, and workflow automation, using approaches such as retrieval-augmented generation, guardrails, and evaluation.
• Develop platform features and customer integrations, including backend services, APIs, data connections, and deployment components.
• Own delivery end to end: architecture, testing, observability, deployment, customer validation, and operational readiness.
• Integrate with customer systems, identity providers, data sources, and cloud or on-premises infrastructure; troubleshoot across application and infrastructure layers.
• Coordinate with product, engineering, security, and customer teams to make solutions reliable, secure, and auditable.

Requirements

• At least eight years of software engineering experience delivering production systems.
• Experience applying AI or machine learning, including large language model techniques such as retrieval, guardrails, or evaluations, to practical problems.
• Background in scalable system design and one or more of backend engineering, distributed systems, APIs, data pipelines, cloud infrastructure, or applied AI.
• Ability to work across application code, integrations, infrastructure, and deployment when needed.
• Strong debugging and communication skills, including the ability to turn ambiguous needs into working software and explain decisions to technical and non-technical stakeholders.
• High ownership and sound judgment when working with sensitive data or business-critical workflows.

Nice to have

• Experience with AI agents, retrieval systems, model deployment, cloud platforms, containers, infrastructure automation, CI/CD, observability, identity and access management, audit logging, or secure and regulated environments.

Benefits and work setup

• Full-time benefits described in the source include employer-paid medical, dental, and vision coverage
• Paid parental leave
• Flexible paid time off subject to approval
• Professional development
• Optional retirement, spending, and equity programs
• The role may involve customer travel