AI Engineer

AI Engineer | Python + GenAI + Data | 8+ Years Experience

• 8+ years of engineering experience with Python as the primary language across data, AI, and backend systems
• Strong proficiency in Generative AI — LLMs, prompt engineering, fine-tuning, and deploying AI models in production
• Hands-on experience with Context Engineering — designing context windows, retrieval pipelines, and memory management for LLM applications
• Experience building and optimizing RAG (Retrieval-Augmented Generation) pipelines using vector databases
• Proficient in Knowledge Graph design and implementation — Neo4j, RDF, SPARQL, and graph-based reasoning for AI applications
• Strong background in Data Engineering — ETL/ELT pipelines, data modeling, and orchestration tools (Airflow, Prefect, or Dagster)
• Experience designing Semantic Layers — ontologies, embeddings, and semantic search to connect structured and unstructured data
• Hands-on building AI Chatbots and conversational agents
• Proficient with LLM APIs — OpenAI, Anthropic, Gemini, and open-source models (LLaMA, Mistral, Falcon)
• Experience with vector search, semantic similarity, and embedding strategies (OpenAI Embeddings, Sentence Transformers)
• Strong understanding of data pipelines — ingestion, transformation, enrichment, and serving layers at scale
• Familiarity with cloud AI services — AWS Bedrock, Azure OpenAI, GCP Vertex AI
• Experience with MLOps practices — model versioning, monitoring, and deployment using MLflow, Weights & Biases
• Proficient with SQL and NoSQL databases alongside graph and vector stores for hybrid data architectures