Remote AI Field Engineer — GenAI & LLM Solutions

IBM; Raleigh (NC); Remote; USD 140,000 - 190,000; Full time

Job summary

IBM Consulting seeks a Forward Deployed Engineer – AI to transform client challenges into production-ready AI solutions. You will blend software engineering, data science, GenAI, agentic AI, and advanced analytics to rapidly prototype, deploy, and scale impactful AI applications across industries.

Lead end-to-end GenAI and RAG deployments, design LLM-powered agents, and ensure production readiness with MLOps, observability, and governance. This role can be performed from anywhere in the US.

Qualifications

• 5+ years of experience delivering production AI solutions.
• Strong Python and SQL skills with GenAI and agentic AI apps.
• Hands-on experience with LLMs, RAG, multi-step workflows (LangChain/LangGraph/CrewAI).
• Experience building GenAI apps with embeddings, vector databases (Milvus, Elasticsearch, pgvector, Pinecone).
• Experience designing agentic AI workflows and tool orchestration (LangChain/LangGraph, CrewAI, AutoGen).
• Experience with scikit-learn, PyTorch, Pandas, or Spark.
• Experience deploying AI solutions via REST/FastAPI, cloud platforms (AWS/Azure/Google), and Git/Docker/Kubernetes.
• Ability to translate business needs into technical solutions and communicate to mixed audiences.

Responsibilities

• Work directly with clients to turn complex challenges into production AI solutions.
• Build end-to-end GenAI, RAG, and agentic AI apps using LangGraph, CrewAI, and hyperscaler platforms.
• Design LLM-powered agents with tool use, orchestration, prompts, and evaluation frameworks.
• Prepare structured/unstructured data and integrate AI with enterprise systems and APIs.
• Apply MLOps/LLMOps, monitoring, and responsible AI practices for production readiness.
• Present insights, demonstrate outcomes, and enable client adoption and reuse.

Skills

AI/ML

Python

SQL

GenAI

LangGraph

CrewAI

LLMs

RAG

Agentic AI

MLOps

LLMOps

Kubernetes

Docker

REST/FastAPI

Cloud platforms

Communication

Client-facing

Data processing

Spark

PyTorch

Education

Bachelor’s degree in Computer Science/Engineering/Data Science

Master’s degree or PhD (preferred)

Tools

LangChain

LangGraph

CrewAI

Vertex AI

Azure AI Foundry

AWS Bedrock

Git

Docker

Kubernetes

Job description

IBM Consulting seeks a Forward Deployed Engineer – AI to transform client challenges into production-ready AI solutions. You will blend software engineering, data science, GenAI, agentic AI, and advanced analytics to rapidly prototype, deploy, and scale impactful AI applications across industries.

Lead end-to-end GenAI and RAG deployments, design LLM-powered agents, and ensure production readiness with MLOps, observability, and governance. This role can be performed from anywhere in the US.