Senior AI / GenAI Engineeri in GA/ NY (Hybrid 3 days)

Senior AI / GenAI Engineer

Candidates must have experience delivering enterprise AI solutions in production environments, not only POC or personal projects/educational projects. We are seeking a Senior AI / 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.

Key Responsibilities:

• 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.

Required Skills & Qualifications:

• Mandatory in-person interview in GA or NY.
• Experience with enterprise level projects only - no college, educational, POC projects.
• 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 Qualifications:

• 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.