AI Engineer
Marks & Spencer Group plc2 hours ago
Base Salary
$120k - $165k/yr
Responsibilities
- Build and deploy AI agents at scale to accelerate technology and business roadmaps.
- Evaluate generative AI technologies and prototype solutions to improve architecture and platform capabilities.
- Design, implement, and operationalize distributed, scalable, and reliable batch and real-time data flows for AI agents.
- Build agent orchestration, calibration scoring, accuracy guardrails, memory systems, tool integrations, and multi-agent workflows.
- Contribute to cloud adoption, scalable architecture, and engineering roadmaps while collaborating with teams in India and the United States.
Requirements
- At least 2 years of experience building GenAI solutions and supporting the design, architecture, development, and operationalization of agent orchestrations at scale.
- Mastery of LangChain, LangGraph, CrewAI, and Microsoft AutoGen for multi-agent workflows.
- Deep expertise with LLM APIs including OpenAI, Anthropic, and AWS Bedrock, plus prompt engineering and fine-tuning for agentic behaviors.
- Experience implementing memory systems with vector databases such as Pinecone and Weaviate and building Retrieval-Augmented Generation pipelines.
- Proficiency integrating external APIs as agent tools, including function calling and error handling for malformed model outputs.
- Expert-level Python skills, with familiarity with FastAPI, Node.js, or Go.
- Familiarity with Docker and Kubernetes for containerized deployment.
- Strong written and verbal communication skills and the ability to work independently in a fast-paced, dynamic environment.
- Must be legally authorized to work in the United States and must not require current or future employment visa sponsorship.
Benefits
- Morgan Stanley offers comprehensive employee benefits and perks for employees and their families.
- Employees are supported in an inclusive environment with opportunities for collaboration, development, and internal mobility.
- The employer provides diversity and inclusion support and equal employment opportunity.
Tech Stack
Categories