Forward Deployed Engineer

machinifyinc; United States; Remote; USD 210,000 - 270,000; Full time

Benefits offered by this job

Unlimited paid time off

Equity

401(k) with company match

Medical, dental, and vision coverage

Tuition reimbursement

FSA/HSA

Job summary

machinifyinc is seeking an experienced software engineer to bring AI software into real customer environments and deliver production systems from discovery to handoff. You will work with customer teams to translate business needs into scalable AI-driven solutions, building robust integrations and orchestration across data pipelines and services.

The ideal candidate has 3+ years delivering production systems, strong Python/TypeScript skills, and hands-on experience with AI/LLM capabilities.

Qualifications

• 3+ years delivering production software.
• Strong Python and TypeScript skills, including fast-paced environments.
• Practical experience integrating AI/LLM capabilities (RAG, agents, function calling, embeddings, vector search).
• Customer-facing technical delivery experience (consulting/implementation/solutions engineering).
• Ability to work independently amid ambiguity and communicate with technical/non-technical stakeholders.

Responsibilities

• Deliver end-to-end solutions from discovery to handoff for customers.
• Build integrations, agents, RAG pipelines, tool-use features, and workflow automation.
• Own delivery from scoping and architecture through testing and deployment.
• Apply foundation models and orchestration to customer problems in production.
• Address deployment needs: authentication, data pipelines, latency, reliability, security reviews, operations.

Skills

Python

TypeScript

AI integration

RAG

function calling

embeddings

vector search

stakeholder communication

delivery ownership

Tools

LangGraph

Temporal

MCP

Job description

Role overview

Bring AI software into real customer environments and make it useful in day-to-day operations. Working alongside customer teams, you will turn business needs and constraints into production systems, handling the full delivery process from discovery and design through deployment and handoff.

Responsibilities

• Work with customers to understand requirements and implement end-to-end solutions using an AI platform.
• Build integrations, agents, retrieval-augmented generation pipelines, tool-use features, and workflow automation tailored to customer data and systems.
• Own delivery from scoping and architecture through coding, testing, deployment, and operational handoff.
• Apply foundation models, retrieval, structured outputs, and orchestration to solve customer problems in production.
• Address deployment needs such as authentication, data pipelines, latency, reliability, security reviews, and ongoing operations.
• Share field learnings with product, research, and solutions teams to improve the platform and support customer adoption.

Requirements

• At least 3 years of software engineering experience delivering production systems.
• Strong Python and TypeScript skills, including the ability to work in established codebases under time pressure.
• Practical experience integrating AI or LLM capabilities, such as RAG, agents, function calling, embeddings, or vector search, into existing environments.
• Customer-facing technical delivery experience in areas such as consulting, implementation, or solutions engineering.
• Ability to work independently amid ambiguity and communicate with technical and non-technical stakeholders.
• Sound judgment about cost, latency, reliability, and production readiness; willingness to travel or work on-site when needed.

Nice to have

• Experience with agent frameworks, MCP, or orchestration tools such as LangGraph or Temporal.
• Background in data engineering, infrastructure, systems integration, or complex enterprise software.
• Experience with security, compliance, or red-team reviews for customer deployments.
• Open-source contributions or public writing about applied AI.

Benefits and work setup

• Remote work from anywhere in the United States, with travel or on‑site work as needed.
• Medical, dental, and vision coverage; FSA/HSA; tuition reimbursement; and a 401(k) with company match.
• Unlimited paid time off, wellness benefits, and equity.
• The listing gives a base salary range of $210,000–$270,000 or more, depending on assessed level and candidate factors.