AI
AI Engineer (GenAI & Agentic Systems)
Ampcus Incorporated
đşđ¸ United States
On-site
8 months ago
- AI
- Machine Learning
- Large Language Models
- Language Models
- RAG
- Python
- Risk Management
8 months ago
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.
Â
Job Title:AI Engineer (GenAI & Agentic Systems).
Location:Chantilly, VA.
Â
Â
Job Description:
- The AI Engineer (GenAI & Agentic Systems) designs, prototypes, and builds generative AI and agentâbased 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), retrievalâaugmented generation (RAG), and agentic AI patterns.
- GenAI POC and MVP Development
- Design and implement GenAIâpowered 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 realâtime, 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 oversteps, 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 thirdâparty 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.
- Technical Skills
- Strong proficiency in Python and APIâbased service development.
- Handsâon experience with LLMs, SLMs, RAG, prompt engineering, and Agentic AI frameworks or patterns.
- Experience building inference pipelines for GenAI.
- Strong understanding of APIâfirst and eventâdriven architectures.
- Experience integrating AI services with enterprise systems and SaaS platforms.
- Conceptual & System Skills
- Deep understanding of GenAI inference vs traditional deterministic systems, promptâcentric and contextâcentric 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.
- 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 vendorâprovided 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.
AI Engineer (GenAI & Agentic Systems) ¡ Ampcus Incorporated