Artificial Intelligence Engineer

• Develop solutions using LLMs, AI agents, RAG, semantic search, and workflow automation
• Design scalable enterprise AI platforms and distributed systems
• Partner with product, business, data science, architecture, and engineering teams to identify high-value AI use cases
• Establish engineering best practices and technical standards for a new AI organization
• Mentor engineers and provide technical leadership across teams
• Build secure, reliable, cloud-native applications at enterprise scale
• Translate emerging AI capabilities into practical business solutions that improve productivity and automate workflows

???? Top Skills

1?? AI & LLM Engineering

• OpenAI
• Claude / Anthropic
• Gemini
• AWS Bedrock
• LangChain
• LangGraph
• CrewAI
• Python
• AI Agents / Agentic AI
• RAG
• Prompt Engineering
• Workflow Automation

2?? Data Engineering & AI Data Foundations

• Snowflake
• Databricks
• Data Pipelines
• ETL / ELT
• Pinecone
• Weaviate
• Chroma
• Semantic Search
• Knowledge Retrieval
• Enterprise Data Architecture

3?? Cloud Architecture, Scale & Security

• AWS / Azure
• Docker
• Kubernetes
• Terraform
• Microservices
• Cloud-Native Architecture
• Distributed Systems
• Security & Scalability

? Ideal Background

We’re looking for someone who is more than an AI developer - you should be a Principal-level technical leader who can architect, build, and take AI solutions into production., The team will work on solutions such as:

• Automated meeting preparation and research
• Intelligent call summarization and insight generation
• Automated follow-up and workflow orchestration
• Enterprise knowledge retrieval and recommendation systems
• AI-assisted decision support
• Productivity and workflow automation using enterprise data

???? Experience: 8+ years of software engineering experience with a Bachelor’s degree or equivalent experience, ? Strong GenAI/LLM engineering experience

? Hands-on experience building RAG and agentic AI solutions

? Strong Python/software engineering background

? Enterprise data engineering experience

? Cloud architecture and distributed systems expertise

? Experience with containers, Kubernetes, and Infrastructure-as-Code

? Strong architecture and system-design skills

? Experience mentoring engineers and influencing technical direction

? Ability to work directly with business and product stakeholders

? Experience taking AI solutions from POC ? production

???? Example AI Use Cases