Gen AI engineer 9+yrs exp ( W2 only)
Role details
Job location
Tech stack
Job description
We are seeking a highly skilled Gen AI Engineer to design, develop, and deploy Generative AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and cloud-native architectures. The ideal candidate will have strong expertise in AI/ML, prompt engineering, model integration, and scalable application development., Key Responsibilities: Design and develop Generative AI applications using Large Language Models (LLMs).Build and optimize Retrieval-Augmented Generation (RAG) solutions.Develop AI Agents and conversational AI systems.Integrate OpenAI, Azure OpenAI, Claude, Gemini, or Llama models into enterprise applications.Implement vector search and semantic retrieval solutions.Develop and maintain scalable APIs and microservices.Collaborate with data scientists, engineers, and business stakeholders.Monitor, optimize, and deploy AI solutions in cloud environments.Ensure AI security, governance, and best practices.
Requirements
Do you have experience in Web services design?, Do you have a Bachelor's degree?, * AWS
- Azure
- GCP
- Git
- CI/CD
- Claude
- TensorFlow
- LangChain
- generative AI
- Microservices
- LangGraph
- NLP
- Deep Learning
- Azure OpenAI
- Docker
- Kubernetes
- Llama
- Prompt Engineering
- Machine Learning
- Gemini
- REST APIs
- Large Language Models (LLMs)
- MLOps
- OpenAI
- Weaviate
- Gen AI Engineer Primary Skills (Comma-Separated Format): Python
- RAG (Retrieval-Augmented Generation)
- Vector Databases (Pinecone
- ChromaDB
- FAISS)
- AI Agents, Required Skills: PythonGenerative AILarge Language Models (LLMs)Prompt EngineeringLangChainLangGraphRetrieval-Augmented Generation (RAG)OpenAI / Azure OpenAIVector Databases (Pinecone, Weaviate, ChromaDB, FAISS)REST APIs and MicroservicesGit and CI/CDAWS, Azure, or Google Cloud Platform
Preferred Qualifications Experience with Claude, Gemini, or Llama models.Knowledge of MLOps and AI model deployment.Experience with Docker and Kubernetes.Knowledge of Fine-Tuning and Model Optimization.Experience with Multi-Agent Systems.Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
Soft Skills:Strong analytical and problem-solving skills.Excellent communication and collaboration abilities.Ability to work independently and within cross-functional teams.Strong attention to detail and innovation mindset.
Benefits & conditions
$80,000 - $95,000 a year - Temporary, Contract