Predictive & Agentic AI Engineer

Required Skills & Qualifications:

• Experience: 5+ years of hands-on experience in data science, analytics, machine learning, and AI engineering.
• Core Languages: Expert in SQL and advanced SQL, and highly proficient in production-grade Python.
• Traditional ML Ecosystem: Proficient in frameworks, tools, and libraries such as TensorFlow, PyTorch, scikit-learn, Pandas, and Jupyter Notebook.
• Agentic AI Frameworks: Proven experience building stateful, multi-agent workflows using LangChain, LangGraph, CrewAI, LlamaIndex Workflows , or the Microsoft Agent Framework .
• Enterprise Agent Platforms: Hands-on experience using enterprise-grade agent development and orchestration platforms, specifically Dataiku (utilizing Dataiku LLM Mesh & Agent Hub) or Google Cloud's Gemini Enterprise Agent Platform (formerly Vertex AI Agent Builder) to build, run, and govern production-ready AI agents.
• Integrations & Protocols: Solid proficiency with building API integrations, advanced Function Calling, and working with the Model Context Protocol (MCP) to seamlessly connect LLMs to external databases and software tools.
• Data & Knowledge Retrieval: Strong data manipulation, wrangling, and mining skills paired with a deep understanding of Vector Databases (e.g., Pinecone, Qdrant, Milvus) and advanced Retrieval-Augmented Generation (RAG and GraphRAG).
• AI Security: Deep understanding of LLM vulnerabilities, including prompt injection mitigation , jailbreak prevention, and the implementation of safety guardrails (e.g., Guardrails AI, NeMo Guardrails).
• Cloud & Platform Expertise: Expert in AWS artificial intelligence/machine learning services, specifically AWS SageMaker and AWS Bedrock, Bedrock AgentCore , alongside Redshift, Comprehend, and Lex.
• Observability: Familiarity with LLM tracing and observability infrastructure (e.g., LangSmith, Langfuse, or Arize Phoenix) to monitor and debug complex agent loops.
• Soft Skills: Strong analytical mindset with excellent communication skills to convey intricate technical concepts and agent behaviors effectively to both engineering teams and non-technical business stakeholders.

Education:

Preferred Qualifications:

• Master’s degree or a Ph.D. in a quantitative field is a plus.
• AWS Certified Generative AI Developer – Professional certification or equivalent hands-on experience building autonomous agentic systems using Amazon Bedrock Agents and Bedrock Flows.
• Experience with serverless deployment architectures, including AWS Lambda or Glue jobs.
• AWS Certified Solutions Architect or AWS Certified Machine Learning Specialty is a plus.
• The salary range for this position is approximately $155,000 to $175,000, based on experience, skills, and qualifications. This position is also eligible for annual performance-based bonuses. Our comprehensive benefits package includes individual and family health, vision, and dental coverage, 401(k) plan with employer-matching, and Paid Time Off (PTO) and holidays.
• It is the company's policy to recruit, hire, train and promote individuals, as well as to administer any and all personnel actions, without regard to race, color, religion, age, sex (including gender identity, sexual orientation, and pregnancy), marital status, national origin, disability, genetic information, ancestry, military status or any other unlawfully prohibited characteristic in accordance with applicable laws