Software Engineer - AI Engineer II

Duties & Responsibilities

• Translate business requirements into scalable and well-documented AI/ML pipelines using Databricks, Azure AI, and Snowflake.

• Design and deploy GenAI-powered applications using pretrained models (e.g., GPT-4, LLaMA) for tasks such as text generation, summarization, code synthesis, and personalization.

• Build and orchestrate agentic AI workflows using frameworks like LangChain, OpenAI Agents SDK, and Databricks Genie, enabling autonomous task execution and multi-agent collaboration.

• Integrate GenAI models into enterprise applications with Human-in-the-Loop (HITL) validation and feedback loops for production readiness.

• Conduct model selection, fine-tuning, and evaluation using MLflow, ONNX, and custom batch testing frameworks.

• Develop and maintain data pipelines for feature engineering, model training, and inference using DBT, Spark, Airflow, and Azure Data Factory.

• Monitor and troubleshoot production deployments, addressing model drift, latency, and data quality issues.

• Ensure responsible AI operations through governance, observability, and guardrail management using Unity Catalog, Azure AI Guardrails, and OpenTelemetry.

Basic Qualifications

• Bachelor's degree in Computer Science, AI/ML, or a related quantitative field.

• 35 years of experience in AI/ML engineering, with hands-on exposure to GenAI, LLMs, NLP, and agentic architectures.

• Proven experience deploying enterprise-grade AI agents, including pre-launch testing, HITL workflows, and business UAT sign-off.

• Familiarity with multi-modal AI (text, image, audio) and unstructured data processing using Databricks Genie, AI Foundry, and AI Search.

• Experience working in agile, cross-functional teams and delivering measurable impact through automation and intelligent systems.

Preferred Qualifications

• Languages: Python, PySpark, SQL

• GenAI & LLM Tools: LangChain, LlamaIndex, Hugging Face Transformers, OpenAI Agents SDK, Gemini, LoRA

• Agentic Frameworks: LangGraph, Databricks Genie, Azure AI Agent Orchestration

• MLOps/LLMOps/AgentOps: MLflow, ONNX, DVC, Unity Catalog, CI/CD pipelines

• Data Engineering: DBT, Spark, Lakehouse, Azure Data Factory, Snowflake

• Observability & Governance: OpenTelemetry, Databricks AI Gateway, Azure Guardrails