Gen AI engineer

Robotics Technologies; Raleigh (NC); On-site; USD 72,000 - 102,000; Full time

Job summary

Robotics Technologies in Raleigh, NC invites a Gen AI engineer to join onsite and deliver production-grade generative AI solutions. You will fine-tune LLMs, implement RAG, and build enterprise agentic systems using Langgraph, CrewAI, and other frameworks.

The role requires hands-on experience with LLM deployment, cloud environments (Azure/AWS/GCP), Python, PyTorch, SQL, and NLP. You will work with document processing, embeddings, vector databases, and API tooling (Streamlit, Flask, FastAPI,

Qualifications

• Understand open source and OpenAI LLMs and RAG architecture.
• Python, PyTorch, and SQL proficiency, with at least 3+ years of experience in programming for data analysis and modeling.
• Proficiency with libraries including the OpenAI API.
• Experience with cloud development environments such as Azure, AWS, and GCP.
• Familiarity with NLP literature, key focus areas, conference venues, and code repositories.

Responsibilities

• Implement real projects using Gen AI, including fine-tuning LLMs and RAG.
• Build enterprise-level agentic solutions using open frameworks such as Langgraph, Google ADK, or CrewAI.
• Work with vector databases and embeddings to support retrieval-based architectures.
• Deliver Document AI / OCR / extraction solutions and create structured outputs.
• Apply multiple ML/AI techniques including supervised, unsupervised, reinforcement learning, deep learning, and NLP.
• Integrate with UI and API tooling such as Streamlit, flask, FastAPI, and REST APIs, and package services using Docker containers.
• Demonstrate strong capability with LLMs, including deploying LLMs.
• Use strong analytical and problem-solving skills to disaggregate issues, identify root causes, and recommend solutions.

Skills

Python

PyTorch

SQL

OpenAI API

Azure

AWS

GCP

NLP literature

Tools

Langgraph

Google ADK

CrewAI

Vector databases

embeddings

Document AI

OCR

OpenAI API

LLMs

RAG

Streamlit

flask

FastAPI

REST APIs

Docker containers

Python

PyTorch

SQL

Azure

AWS

GCP

Job description

Robotics Technologies is seeking a Gen AI engineer to support real-world projects in Raleigh, NC, onsite. The work centers on implementing production-focused generative AI solutions, including fine-tuning LLMs and delivering agentic systems with RAG.

This role is suited to an engineer with hands-on experience across LLM deployment, enterprise agent frameworks, and practical integration of document processing workflows. Experience working with cloud development environments and core data/ML tooling is essential for moving projects from architecture to delivery.

Key Responsibilities

• Implement real projects using Gen AI, including fine-tuning LLMs and RAG.
• Build enterprise-level agentic solutions using open frameworks such as Langgraph, Google ADK, or CrewAI.
• Work with vector databases and embeddings to support retrieval-based architectures.
• Deliver Document AI / OCR / extraction solutions and create structured outputs.
• Apply multiple machine learning and AI techniques, including supervised, unsupervised, reinforcement learning, deep learning, and NLP.
• Integrate with UI and API tooling such as Streamlit, flask, Fast APIs, and REST APIs, and package services using Docker containers.
• Demonstrate strong capability with LLMs, including deploying LLMs.
• Use strong analytical and problem-solving skills, including disaggregating issues, identifying root causes, and recommending solutions.

Required Skills

• Understand open source and OpenAI LLMs and RAG architecture.
• Python, PyTorch, and SQL proficiency, with at least 3+ years of experience in programming for data analysis and modeling.
• Proficiency with libraries including the OpenAI API.
• Experience with cloud development environments such as Azure, AWS, and GCP.
• Familiarity with NLP literature, key focus areas, conference venues, and code repositories.

Tools and Technologies

• Langgraph, Google ADK, CrewAI
• Vector databases, embeddings
• Document AI, OCR
• OpenAI API, LLMs, RAG
• Streamlit, flask, Fast APIs, REST APIs, Docker containers
• Python, PyTorch, SQL, Azure, AWS, GCP

Location: Raleigh, NC (onsite)

Duration: 12 Months + Extension

Experience: 3+ years

Domain exposure: Government

Employment type: W-2, 1099, C2C

Work authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other (also listed: US-Citizen, H-1B, OPT-EAD, GC-EAD)

Compensation: USD 63 per hour

Bill rate: $63/hour

Job ID: J55233

Client: To Be Discussed Later