AI Engineer (GenAI & Agentic Systems)

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 a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: AI Engineer (GenAI & Agentic Systems). Location: Chantilly, VA.

Job Description:

• 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.

Key Responsibilities

• GenAI POC and MVP Development
  • Design and implement GenAI-powered automations using LLMs/SLMs, tools, and agents.
• Inference Pipelines for GenAI
  • Design and build GenAI inference pipelines that:
  • Accept structured and unstructured inputs.
  • Apply prompt templates and system instructions.
  • Invoke LLMs and tools.
  • Postprocess outputs into reliable, auditable results.
  • Support realtime, batch, and asynchronous inference patterns.
• Prompt Engineering & Feature Engineering (Data)
  • Design and test prompt templates for data.
  • Implement data feature engineering for GenAI.
• Agentic Architecture & Tool Integration
  • 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.
• Evaluation of SaaS / COTS GenAI Capabilities
  • 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.
  • Observability and audit controls.
  • Provide technical input to architecture, procurement, and governance decisions.

Required Qualifications

• Technical Skills
  • 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.
• Conceptual & System Skills
  • 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.

Preferred Qualifications

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

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.