Generative AI Engineer​/Architect

Role Overview

We’re looking for a Generative AI Engineer to architect and build next‑generation AI products powered by large language models (LLMs), agent frameworks, and agentic pipelines. The role emphasizes building reliable, context‑aware systems using Model Context Protocol (MCP) to manage and standardize model context, inputs, and tool interactions across agentic workflows.

Company: HRC Global Services
Location: Reston, VA
Remote: Yes
Job Type: Full‑time

• Design, prototype, and product ionize LLM‑based features and conversational agents using modern LLM APIs and frameworks.
• Implement and enforce MCP (Model, Context Protocol) patterns to structure prompts, context windows, tool calls, and metadata for consistent multi‑turn and cross‑tool behavior.
• Build and orchestrate agentic systems (planners, executors, tool chains) that integrate LLMs with external APIs, knowledge bases, and tooling.
• Develop retrieval‑augmented generation (RAG) pipelines, embeddings, and document indexing; manage vector DB integrations.
• Create evaluation pipelines and prompt engineering experiments; measure hallucination rates, factuality, latency, and cost.
• Design and implement safety, guardrails, and monitoring: content filtering, adversarial testing, rate limits, and alerting for model failure modes.
• Optimize inference cost and latency across providers and on‑prem hosts (quantized models, batching, caching).
• Build CI/CD and reproducible workflows for model versions, prompt artifacts, and MCP schema migrations; document MCP conventions and other best practices.

• 3+ years ML engineering or applied AI experience, with 1‑2+ years working directly with LLMs and generative systems.
• Hands‑on experience with LLM APIs and agent frameworks (e.g., Lang Chain, Llama Index, Haystack, or equivalent).
• Practical experience implementing or following a Model Context Protocol (MCP) – structuring context, metadata, prompt templates, tool interfaces, and context stitching across sessions.
• Strong Python engineering skills: experience building production‑grade microservices and APIs.