AI Engineer (GenAI & Agentic Systems)

Ampcus Inc. • Chantilly, VA

9h • Onsite

About The Position

The AI Engineer (GenAI & Agentic Systems) designs, prototypes, and builds generative AI and agent‐based automations for knowledge work, decision support, and business workflows, and evaluates AI platforms and AI features embedded in 3rd party products. This role experiments with and develops POCs/MVPs with large language models (LLMs), small language models (SLMs), retrieval‐augmented generation (RAG), and agentic AI patterns.

Requirements

• Strong proficiency in Python and API‐based service development.
• Hands‐on experience with LLMs, SLMs, RAG, prompt engineering, and Agentic AI frameworks or patterns.
• Experience building inference pipelines for GenAI.
• Strong understanding of API‐first and event‐driven architectures.
• Experience integrating AI services with enterprise systems and SaaS platforms.
• Deep understanding of GenAI inference vs traditional deterministic systems, prompt‐centric and context‐centric design, and agent autonomy vs control tradeoffs.
• Ability to translate experimentation into reliable, automated AI systems.
• Strong collaboration skills across engineering, product, data, and governance teams.

Nice To Haves

• Experience building and maintaining GenAI systems in enterprise or regulated environments.
• Familiarity with vector databases and document retrieval systems.
• Familiarity with cost and latency optimization for LLMs and SLMs.
• Familiarity with monitoring and evaluation of GenAI outputs.
• Experience assessing vendor‐provided GenAI platforms and features.
• Exposure to AI risk management or responsible AI practices.

Responsibilities

• Design and implement GenAI‐powered automations using LLMs/SLMs, tools, and agents.
• Design and build GenAI inference pipelines that accept structured and unstructured inputs, apply prompt templates and system instructions, invoke LLMs and tools, and postprocess outputs into reliable, auditable results. Support real‐time, batch, and asynchronous inference patterns.
• Design and test prompt templates for data. Implement data feature engineering for GenAI.
• Design and prototype/develop agentic automations that decompose tasks, plan and reason over steps, invoke tools and APIs, and handle errors and retries. Integrate agents with AI platform and other source APIs. Apply guardrails to control agent autonomy, cost, and risk.
• Technically evaluate GenAI and agentic features embedded in third‐party SaaS/COTS products, including LLM, SLM usage patterns and limitations, prompt and agent customization options, API accessibility and automation readiness, and observability and audit controls.
• Provide technical input to architecture, procurement, and governance decisions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed