Description

The ideal candidate is a strong application/software engineer with hands-on GenAI experience who can take existing LLM capabilities such as GPT, Claude, Gemini, or LLaMA and build applications, APIs, agents, RAG solutions, and other AI-powered features on top of them.

This person should be particularly strong in Python, AWS, GenAI application development, RAG, and agentic AI. They will own solutions from architecture through development and deployment, working closely with product managers, data scientists, and business stakeholders. Capital markets experience is a plus, particularly for use cases such as market analysis.

Day-to-Day Responsibilities:

The AI Engineer will design and build GenAI-powered applications and products using Python, React/Next.js, and AWS. They will develop LLM pipelines, RAG/Graph RAG solutions, AI agents, MCP integrations, APIs, and prompt-based applications using technologies such as Lang Chain, LlamaIndex, Bedrock, and commercial/open-source LLMs. The engineer will build cloud-native applications using AWS services such as EKS, Lambda, Fargate, Glue, Athena, and Lake Formation while deploying solutions through Docker, Terraform, and DevSecOps practices. They will own solutions end-to-end, including architecture, coding, testing, deployment, performance optimization, monitoring, and ongoing improvements.

Must-Haves:

6+ years of software/application engineering experience, including 1–2+ years building GenAI applications 
Strong Python development experience with hands-on ownership of production applications, APIs, and microservices 
Hands-on experience building GenAI applications using RAG, LLM pipelines, and Agentic AI
Strong AWS experience building and deploying cloud-native applications, ideally using Bedrock and services such as EKS, Lambda, or Fargate 
Experience with GenAI frameworks and LLMs such as Lang Chain/LlamaIndex and GPT, Claude, Gemini, or LLaMA
 

Plusses:

Hands-on experience with MCP and/or Graph RAG architectures
Experience with vector/graph databases such as PGVector, Weaviate, Milvus, Neo4j, or Neptune 
Front-end development experience with React, Next.js, TypeScript/JavaScript
Experience with Docker, Terraform, CI/CD, DevSecOps, Airflow, and automated AI testing/evaluation
Capital markets/investment management experience, particularly working with market analysis or enterprise financial data

Key Skills

Education

Any Graduate