Sr. AI Engineer

This role is ideal for a hands-on Sr. AI Engineer who thrives at the intersection of AI, software engineering, data engineering, and cloud technologies. Successful candidates will possess strong technical expertise and a passion for building innovative solutions, partnering with cross-functional teams to translate business needs into practical AI applications. The ideal individual enjoys solving complex technical challenges, developing production-ready systems, and contributing to the evolution of modern AI platforms and capabilities.

Years of experience: Bachelor’s degree or equivalent experience with 5+ years of software engineering experience, 1. AI & LLM Engineering

• OpenAI, Claude, Gemini, Bedrock
• LangChain, LangGraph, CrewAI
• Python
• AI Agents, RAG, Prompt Engineering, Workflow Automation

1. Data Engineering & AI Data Foundations * Snowflake, Databricks * Data Pipelines, ETL/ELT * Pinecone, Weaviate, Chroma * Semantic Search, Knowledge Retrieval, Enterprise Data Architecture

2. Cloud Architecture, Scale & Security * AWS, Azure * Docker, Kubernetes * Terraform * Cloud-Native Platforms, Microservices, Security, Scalability

The Skills You Bring

Bachelor’s degree or equivalent experience with 5+ years of software engineering experience.

Proven experience designing and delivering scalable, production-grade software solutions and distributed systems.

Deep expertise building AI-powered applications utilizing large language models (LLMs), agent frameworks, and orchestration platforms (e.g., OpenAI, Claude, Bedrock, LangChain, LangGraph).

Experience developing Retrieval-Augmented Generation (RAG) solutions, semantic search capabilities, and enterprise knowledge systems leveraging vector databases and retrieval frameworks.

Strong full-stack engineering background with modern languages and frameworks such as Python, TypeScript, Node.js, APIs, React, and Next.js.

Hands-on experience deploying and scaling applications within cloud environments such as AWS, Azure, or Google Cloud.

Experience with modern platform engineering and DevOps practices, including containers, Kubernetes, Infrastructure-as-Code, and cloud-native architectures.

Strong understanding of software architecture, design patterns, security, and reliability principles for enterprise-scale applications.

Excellent problem-solving skills, sound technical judgment, and a passion for building innovative solutions.

Ability to collaborate optimally across engineering, data, product, and business teams while driving initiatives from concept to production.

Ultimately, I need a hands-on Senior AI Engineer who combines GenAI/LLM experience, strong software and data engineering fundamentals, and cloud platform expertise to design, build, and deploy AI solutions that solve real business challenges, enhance advisor efficiency, and automate key processes at scale.