Generative AI Engineer

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., * 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., * 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

<>Generative AI

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

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.