Generative AI Engineer​/Architect

Job Description

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 the Model Context Protocol (MCP) to manage and standardize model context, inputs, and tool interactions across agentic workflows.

• 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 laternal 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, Llamaindex, 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.
• Strona Pvthon engineerina skills: experience buildina production-arade microservices and APIs.

• Remote
  Reston, VA
• Full‑time