Generative AI Intern

Role: GenAI Engineer Locations: Alpharetta, GA (Hybrid Onsite) Duration: 12+ Months Contract F2F Interview MUST Note: Candidate needs to be in the office 3-4 Days every week. Local or candidates from adjacent states only.
Role Overview: Candidates must have experience delivering enterprise AI solutions in production environments (NOT only POC or personal projects/ Educational Projects) We are seeking a Senior GenAI Engineer with strong experience in machine learning, generative AI and enterprise scale AI platform development. The ideal candidate should have hands-on experience building production grade AI systems including Retrieval Augmented Generation (RAG) platforms, vector search pipelines, autonomous AI agents and scalable ML model deployment. The role requires expertise in Python based ML development, LLM frameworks, vector databases and AI orchestration frameworks such as LangChain, LangGraph and Hugging Face.
Required Skills: Experience with enterprise level projects only. Strong Python development experience 7 years. Hands-on experience with RAG Vector, DB Embeddings and document chunking, Semantic search pipelines. Experience with LangChain, LangGraph and Hugging Face. Experience with Pandas, NumPy and data preprocessing pipelines. Experience deploying ML models as REST APIs and integrating AI with enterprise systems.
Preferred Skills: Experience with Natural Language Processing NLP and Deep Learning Familiarity with Transformers and Large Language Models LLMs Experience with Cloud ML platforms such as Azure AI, AWS SageMaker, etc.
Nice to Have: Experience building AI agents or autonomous systems. Knowledge of vector databases Pinecone Weaviate Milvus FAISS. Experience with MLOps practices Docker and Kubernetes. Exposure to multimodal AI systems.
In compliance with the salary transparency law, the expected pay range for this role is $57.00 $62.00/hr. Actual compensation depends on experience and interview evaluation.

For applications and inquiries, contact: hirings@openkyber.com