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IDC

Global IT market intelligence, advisory, events

Data Engineer - AI/NLP Engineering

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Data Science, Engineering, or a related quantitative field is required.
  • At least 2 years of experience in data science or AI/ML engineering, including at least 2 years of hands-on experience building and shipping agentic AI or LLM applications in production.
  • Hands-on experience with machine learning, the Claude Code/Claude Agent SDK agent orchestration framework, and tool-calling or MCP-based integration patterns.
  • Strong applied Python, SQL, and Snowflake fundamentals sufficient to assess solution feasibility and challenge technical proposals.
  • Experience designing evaluation frameworks for agent accuracy, latency, and cost efficiency.
  • Working understanding of agentic-system failure modes, including hallucination, drift, prompt injection, and cost runaway, and how to mitigate them through guardrails and human-in-the-loop review.

Responsibilities

  • Design, build, and productionize agentic AI workflows that automate and scale data operations and analytics products.
  • Build agent loops with tool calling, orchestration, and memory/state management.
  • Design evaluation harnesses to measure agent accuracy, latency, and cost.
  • Implement retrieval-augmented generation (RAG) against intelligence assets so agent outputs remain grounded in verified data.
  • Operate within Claude Code and other governed, AI-powered development workflows, applying safe-zone scoping guardrails and critically reviewing agent-generated plans.
  • Build and operate natural language processing (NLP) pipelines at scale to ingest, parse, chunk, embed, and extract metadata and entities from millions of documents, and extract insights using large language models (LLMs) or NLP models.
  • Ramp quickly on unfamiliar codebases using documentation and skills files as the primary source of context.
  • Manage stakeholder relationships and negotiations, secure specialist sign-off, and communicate trade-offs or interim delivery options.
  • Exercise technical judgment by escalating and pushing back on unrealistic scope or timelines rather than overpromising.
  • Collaborate with global technical and analyst teams to gather requirements.

About the Company

IDC

Global IT market intelligence, advisory, events

IDC is a global provider of market intelligence, advisory services, and events for information technology, telecommunications, and consumer technology markets. It helps IT professionals, business leaders, and investors make fact-based decisions about technology purchases and business strategy. More than 1,300 IDC analysts offer global, regional, and local insights on technology trends across over 110 countries. With over 50 years of experience, IDC provides industry-focused analysis to clients in sectors such as Financial, Government, Health, Retail, Manufacturing, and Energy. IDC’s offerings combine research reports, advisory services, and events to help clients understand opportunities, compare options, and plan future technology investments and strategies.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Framingham, MA
Founded
1964

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