GenAI & Agentic Systems Engineer

Ampcus, Inc; Chantilly (VA); On-site; USD 120,000 - 155,000; Full time

Job summary

Ampcus Inc. is seeking an AI Engineer to design, prototype, and build GenAI and agent-based automations for knowledge work and business workflows in Chantilly, VA.

You will explore POCs/MVPs with LLMs, SLMs, RAG, and agentic AI patterns and contribute to architecture decisions. The role requires strong Python, API development, and experience with GenAI inference pipelines, prompt engineering, and enterprise SaaS integration.

Qualifications

• Strong Python and API-based service development experience.
• Hands-on with LLMs/SLMs, RAG, prompt engineering, and Agentic AI patterns.
• Experience building GenAI inference pipelines and integrating AI services with enterprise systems.

Responsibilities

• GenAI POC and MVP development using LLMs/SLMs, tools, and agents.
• Design GenAI inference pipelines for structured and unstructured inputs; apply prompts and system instructions; invoke LLMs and tools; postprocess outputs for reliability and auditability.
• Design and test prompt templates and implement data feature engineering for GenAI.
• Develop agentic automations that decompose tasks, plan steps, invoke tools/APIs, handle errors and retries; integrate with AI platforms and source APIs; apply guardrails for cost and risk.
• Evaluate SaaS/COTS GenAI capabilities, assess usage patterns, prompts, APIs, observability and governance inputs.

Skills

Python

LLMs/SLMs

RAG

Prompt engineering

Agentic AI

APIs

Event-driven

Enterprise SaaS integration

Inference pipelines

Education

Bachelor's degree in CS/Engineering

Tools

Vector databases

Document retrieval systems

Job description

Ampcus Inc. is seeking an AI Engineer to design, prototype, and build GenAI and agent-based automations for knowledge work and business workflows in Chantilly, VA.

You will explore POCs/MVPs with LLMs, SLMs, RAG, and agentic AI patterns and contribute to architecture decisions. The role requires strong Python, API development, and experience with GenAI inference pipelines, prompt engineering, and enterprise SaaS integration.