Generative AI Engineer - McLean, Virginia - Onsite( Local only ) - Inperson interview

Hello

This is Adnan from Nexylum Global Technologies. We are seeking an onsite Senior Generative AI Engineer with over 10 years of experience for a contract opportunity.

We are seeking a highly skilled Generative AI Engineer to design, develop, and deploy cutting-edge AI-powered applications using Large Language Models (LLMs) and modern AI frameworks. The ideal candidate should have hands-on experience building GenAI solutions, integrating AI models with enterprise applications, and developing scalable AI services using cloud platforms.

The candidate will work closely with data scientists, software engineers, and business stakeholders to create intelligent applications such as AI assistants, chatbots, document processing systems, recommendation engines, and workflow automation solutions.

Location: McLean, Virginia - Onsite( Local only ) - In-person interview
Minimum experience required: 10 years

• Design, develop, and deploy Generative AI applications using Large Language Models (LLMs).
• Build AI-powered chatbots, virtual assistants, document Q&A, summarization, and content generation solutions.
• Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases.
• Integrate OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, or open-source LLMs into enterprise applications.
• Create AI agents using frameworks such as LangChain, LlamaIndex, CrewAI, or AutoGen.
• Fine-tune and optimize LLMs for enterprise-specific use cases.
• Develop REST APIs and microservices for AI applications.
• Implement prompt engineering techniques to improve AI model performance.
• Work with structured and unstructured data for knowledge retrieval and semantic search.
• Deploy AI applications on cloud platforms such as Azure, AWS, or Google Cloud.
• Optimize model latency, scalability, and cost efficiency.
• Ensure responsible AI practices, including security, governance, and compliance.
• Collaborate with cross-functional teams in Agile/Scrum environments.
• Stay updated with the latest advancements in Generative AI technologies.

Mandatory Skills

• Strong experience with Large Language Models (LLMs)
• OpenAI GPT Models
• Azure OpenAI
• Anthropic Claude
• Google Gemini
• Llama, Mistral, or other open-source LLMs

Frameworks

• LangChain
• LlamaIndex
• Semantic Kernel
• CrewAI
• AutoGen
• Hugging Face Transformers

Retrieval-Augmented Generation (RAG)

• RAG architecture
• Embedding models
• Semantic Search
• Hybrid Search
• Context Management

Vector Databases

• Pinecone
• FAISS
• ChromaDB
• Weaviate
• Milvus
• Azure AI Search

Programming Languages

• Python (Mandatory)
• SQL
• JavaScript (Preferred)

Machine Learning & AI

• Prompt Engineering
• Fine-tuning LLMs
• NLP
• Transformers
• Embedding Models
• Tokenization
• Model Evaluation

Cloud Platforms

• Microsoft Azure
• Azure OpenAI
• AWS Bedrock
• Google Vertex AI

API Development

• FastAPI
• Flask
• REST APIs
• GraphQL (Preferred)

Databases

• PostgreSQL
• MongoDB
• SQL Server
• Redis

DevOps & MLOps

• Docker
• Kubernetes
• Git
• CI/CD
• MLflow
• Azure DevOps
• Jenkins

AI Tools

• Prompt Engineering
• AI Agents
• Function Calling
• Tool Calling
• Model Monitoring
• AI Evaluation Frameworks
• Guardrails
• Responsible AI

Version Control

• Git
• GitHub
• Azure DevOps

Methodologies

• Agile
• Scrum