GenAI Engineer

Bachelor’s degree in Computer Science, Engineering, or a related field.
4+ years of experience in AI/ML engineering, with a focus on Generative AI.
Proficiency in programming languages such as Python
Strong understanding of Generative AI models (e.g., GPT, Transformer architectures) and experience in distilling, tuning and training them.
Familiarity with Retrieval Augmented Generation (RAG) techniques and their implementation.
Experience with agentic AI concepts and developing autonomous AI workflows.
Hands-on experience with GCP Vertex AI, AWS Bedrock + Sagemaker, and Snowflake Cortex platforms and their AI/ML capabilities.
Experience with machine learning frameworks (TensorFlow, PyTorch, Hugging Face Transformers).
Experience with AI frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, etc.
Experience with Natural Language Processing (NLP) and building conversational AI agents.
Experience with vector databases (eg. Pinecone, MongoDB Atlas, OpenSearch, pgVector, FAISS, Qdrant, etc)
Experience building production-grade AI/ML systems at scale.
Knowledge of MLOps practices, including model deployment and lifecycle management.
Excellent problem-solving and analytical skills.
Excellent communication and collaboration skills.

Design, develop, implement, test, and maintain Generative AI models and agentic workflows using GCP Vertex AI, AWS Bedrock, and Snowflake Cortex.
Build and integrate Retrieval Augmented Generation (RAG) systems, to ground the responses of AI solutions with up-to-date and relevant data.
Fine-tune and evaluate foundation models using both proprietary and open-source technology.
Develop agentic architectures using tools like LangGraph, CrewAI, AutoGen, and others to orchestrate multi-step reasoning, planning, and tool use.
Build and optimize AI agents that can interface with MCP servers, APIs, databases, take contextual actions, and autonomously execute business workflows.
Collaborate closely with data scientists, data engineers, and stakeholders to understand requirements and deliver AI solutions that meet business needs.
Implement best practices for model deployment, monitoring, validation, and retraining on GCP Vertex AI, AWS Bedrock, and Snowflake Cortex.
Work with cross-functional IT and business teams in an Agile environment to deliver successful AI solutions.
Document processes, models, and configurations for knowledge sharing and compliance.
Stay current with the latest in generative AI research and translate breakthroughs into applied business solutions.