GenAI Engineer

Dunhill Professional Search & Government Solutions provided pay range This range is provided by Dunhill Professional Search & Government Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range $98,500.00/yr - $184,900.00/yr

Direct message the job poster from Dunhill Professional Search & Government Solutions

Technical Recruiter @ Dunhill Professional Search & Government Solutions | Talent Acquisition l Management *Must be

US Citizen

Due to Federal Contract Requirements*

About the Role We are seeking an innovative

Generative AI Engineer

with deep technical expertise and a passion for solving real-world, mission-critical problems through advanced AI. In this role, you’ll identify, design, and build next-generation

AI agent solutions

that transform client ecosystems and redefine operational efficiency.

You’ll work closely with a diverse team of

AI leaders, software and systems engineers, data scientists, solutions architects,

and

product owners

to deliver

enterprise-grade GenAI applications

— from rapid prototypes to large-scale deployments.

What You’ll Do

Design and develop GenAI use cases

tailored to client objectives and data ecosystems.

Build and deploy agentic AI systems , leveraging the right frameworks and architectures for optimal results.

Implement and integrate

large language models (LLMs)

and

transformer models

across leading AI platforms such as

Amazon Kendra, Google Vertex AI, AWS Bedrock,

and

Azure AI .

Develop solutions using

cloud-based AI services , including

Google Cloud Document AI, Gemini, Gemma, and

Generative AI Language Models .

Utilize

NVIDIA AI Foundations ,

OpenAI ChatGPT , and

Databricks Mosaic AI

to enhance model development, fine-tuning, and deployment.

Prototype, test, and iterate

on generative AI applications that drive measurable impact.

Exhibit curiosity, experimentation, and continuous learning to fuel innovation across enterprise domains.

What You’ll Bring

Proven experience with

modern generative AI techniques , including

LLMs, transformer models,

and

retrieval-augmented generation (RAG) .

Hands‑on expertise with

AI and cloud platforms , such as

Amazon Kendra, Google Vertex AI, AWS Bedrock, and

Azure AI .

Proficiency in

Python, SQL, Go,

or other modern programming languages.

Strong foundation in

cloud architecture

and

AI service integration

(e.g., Google Document AI, Gemini, Gemma).

Bonus Points For

Deep understanding of

AI ethics, responsible AI practices,

and

data governance in generative AI .

Hands‑on experience in

LLM fine‑tuning, LLMOps,

and

prompt engineering .

Familiarity with

AI‑assisted development tools

(e.g., Cursor, Windsurf, Claude).

Experience with

tool‑using AI agents

and

API integration

for dynamic data access.

Proficiency in

containerization and deployment

using

Docker, Kubernetes,

or

VMware .

Skilled in

scripting and automation

using

Linux Bash, PowerShell,

or equivalent tools.

Generative AI Development & Deployment

LLM Selection, Fine‑Tuning & Integration

Prompt Engineering & Agentic AI Design

Retrieval‑Augmented Generation (RAG)

Vector Databases & Knowledge Retrieval

Python / SQL / Go Programming

MLOps / LLMOps Practices

Responsible & Ethical AI Design

Seniority Level Associate

Employment Type Full‑time

Job Function Information Technology

Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at Dunhill Professional Search & Government Solutions by 2x

Benefits Medical insurance

401(k)

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