Role overview
**Job Title: Generative AI Engineer (GenAI Engineer)**
\*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**
.
* Experience designing
**RAG pipelines**
using
**vector databases**
like
**Pinecone, Weaviate, ChromaDB,**
or
**FAISS**
.
* 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.
**Key Skills & Competencies**
* **Generative AI Development & Deployment**
* **LLM Selection, Fine-Tuning & Integration**
* **Prompt Engineering & Agentic AI Design**
* **Retrieval-Augmented Generation (RAG)**
* **Cloud AI Services (AWS, Google Cloud, Azure)**
* **Vector Databases & Knowledge Retrieval**
* **Python / SQL / Go Programming**
* **MLOps / LLMOps Practices**
* **Responsible & Ethical AI Design**