Forward Deployed Engineer

Red Cell Partners

. Work directly with customers to understand their workflows, pain points, data environments, and operational constraints.

Posted 11/3/2026full-timeRemote • United StatesSeniorLead💰 $180,000 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying AI-enabled applications and integrations, with a strong focus on scalable system design and backend engineering. Capable of translating customer needs into technical solutions while ensuring security, reliability, and operational effectiveness.

Highest-signal resume keywords

AI/ML TechniquesBackend EngineeringScalable System DesignTechnical CommunicationDebugging Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringProduction-Quality SystemsAPIsData PipelinesDistributed SystemsAI AgentsLLM ApplicationsWorkflow OrchestrationModel DeploymentCloud Infrastructure

Soft Skills

Strong JudgmentHigh OwnershipBias For ActionAbility To Operate In Ambiguous EnvironmentsTechnical Communication Skills

Tools & Technologies

AWSAzureGCPKubernetesTerraformDockerCI/CDObservabilitySecure Deployment PracticesIdentity And Access Management

Industry Keywords

Data GovernanceAudit LoggingComplianceSecurityOperational Constraints

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformKubernetesTerraform

About the role

Key responsibilities & impact

Work directly with customers to understand their workflows, pain points, data environments, and operational constraints.
Contribute to both the core platform and customer-specific integrations by building reusable product capabilities and adapting and deploying them in customer environments.
Build and deploy AI-enabled applications, agents, and workflow automation using AI/ML and LLM techniques such as RAG, guardrails, and evals.
Translate customer needs into technical requirements, implementation plans, and product feedback for the core engineering team.
Own delivery from prototype through production, including architecture, backend services, APIs, integrations, observability, testing, deployment, and customer acceptance.
Integrate with customer systems, data sources, identity providers, and cloud or on-prem infrastructure.
Partner with product, engineering, security, and customer teams to ensure solutions are secure, reliable, auditable, and operationally useful.
Debug issues in deployed environments and drive fast resolution across application, infrastructure, data, and integration layers.
Operate with strong judgment in environments involving sensitive data and business-critical workflows.
Split time between building Trase's core AI product and delivering it directly to customers.

Requirements

What you’ll need

8+ years of software engineering experience, with a strong foundation in building and shipping production-quality systems.
Ability to apply AI and ML techniques, including LLM-based approaches such as RAG, guardrails, and evals, to real customer problems.
Scalable system design experience, ensuring solutions scale reliably as usage, data, and complexity grow.
Experience with backend engineering, distributed systems, APIs, data pipelines, cloud infrastructure, or applied AI/ML systems.
Comfort working across the full stack when needed, including backend services, frontend interfaces, infrastructure, integrations, and deployment workflows.
Ability to operate in ambiguous customer environments and turn unclear requirements into working software.
Strong technical communication skills with engineers, product teams, executives, and customer stakeholders.
High ownership, bias for action, and ability to drive outcomes without waiting for perfect requirements.
Strong debugging instincts and ability to reason across application code, data, infrastructure, networking, and customer systems.
Preferred: Prior experience as a full-stack or backend software engineer, forward deployed engineer, solutions engineer, product engineer, platform engineer, or founding/startup engineer.
Preferred: Experience with AI agents, LLM applications, workflow orchestration, evals, guardrails, retrieval systems, or model deployment.
Preferred: Experience with cloud platforms such as AWS, Azure, or GCP.
Preferred: Experience with Kubernetes, Terraform, Docker, CI/CD, observability, and secure deployment practices.
Preferred: Familiarity with identity and access management, audit logging, data governance, and secure software delivery.
Preferred: Experience building in environments with compliance, security, or operational constraints.
Preferred: Comfort working in secure or regulated customer environments.

Benefits

Comp & perks

Career track opportunity with potential for rapid advancement with strong performance as the firm grows
100% employer paid, comprehensive health care including medical, dental, and vision for you and your family.
Paid maternity and paternity for 14 weeks at employees' normal pay.
Unlimited PTO, with management approval.
Opportunities for professional development and continued learning.
Optional 401K, FSA, and equity incentives available.
Mental health benefits are available through Tara Mind.
Cost effective GLP-1 solutions available through Crux.