Remote GenAI Forward-Deployed Engineer | Enterprise AI

Realign Llc; Texas; Remote; USD 120,000 - 180,000; Part time

Job summary

Realign Llc is seeking a Senior Forward Deployed GenAI Engineer to design, develop, and deploy production-grade GenAI and Agentic AI solutions for enterprise customers. You will build multi-agent systems, MCP servers, RAG-based applications, and integrate Gemini-powered tools with data platforms at scale.

You will collaborate with customer engineering teams, ensuring performance, security, and low latency while driving adoption of advanced AI capabilities across client environments.

Qualifications

• 5+ years of software development experience with Python or a similar language.
• Hands-on experience with Google Cloud Platform (GCP), Generative AI & Agentic AI, Vector Databases, and RAG architectures.
• Experience taking AI solutions from concept to production in enterprise deployments.

Responsibilities

• Design, develop, and deploy production-grade GenAI and Agentic AI solutions.
• Build and optimize multi-agent systems, MCP servers, RAG-based applications, and enterprise AI pipelines.
• Integrate Google AI technologies with enterprise ecosystems, APIs, legacy systems, and data platforms.
• Collaborate with customer engineering teams to deliver AI solutions and drive adoption.

Skills

Python

GCP

Generative AI

Agentic AI

Vector Databases

RAG Architectures

Enterprise AI Deployments

Full-Stack Development

Data Pipelines

Gemini-powered Conversational AI

CES

CCAI

Customer-facing engagements

DevOps

Multi-Agent Architectures

Education

Master's or PhD in Computer Science, AI, or related field

Tools

LangGraph

CrewAI

Agent Development Kit (ADK)

ReAct Framework

Self-Reflection Agents

Multi-Agent Architectures

Job description

Realign Llc is seeking a Senior Forward Deployed GenAI Engineer to design, develop, and deploy production-grade GenAI and Agentic AI solutions for enterprise customers. You will build multi-agent systems, MCP servers, RAG-based applications, and integrate Gemini-powered tools with data platforms at scale.

You will collaborate with customer engineering teams, ensuring performance, security, and low latency while driving adoption of advanced AI capabilities across client environments.