Senior AI Engineer—LLM/RAG Orchestration & APIs

Embedded Alliance, Inc.; Herndon (VA); On-site; USD 120,000 - 210,000; Full time

Benefits offered by this job

401(k)

401(k) matching

Dental insurance

Employee assistance program

Employee discount

Flexible schedule

Flexible spending account

Health insurance

Health savings account

Life insurance

Paid time off

Parental leave

Professional development assistance

Referral program

Tuition reimbursement

Vision insurance

Job summary

Embedded Alliance, Inc. is seeking an AI Engineer to implement LLM models inside an analytic environment for a classified enterprise setting.

The role focuses on agent-based components, retrieval pipelines, and production-ready integrations that enable end-to-end orchestration on the platform. Responsibilities include building REST APIs in Python, enabling data retrieval and system integration, and handling memory, prompts, and embedding generation.

Qualifications

• Active TS Clearance (Top Secret required).
• Solid Python with production-level code experience.
• Experience building or consuming REST APIs.
• Comfort with databases and SQL.
• Exposure to LLMs or a RAG prototype including agent work.
• Bachelor’s in computer science or related field; further experience considered.
• Hands-on experience building LLM-integrated applications, RAG workflows, or retrieval-based systems.
• Knowledge of transformer behavior, context windows, and retrieval pitfalls.
• 8+ years of software engineering, with recent AI/ML application development.

Responsibilities

• Implement orchestration logic, tool integrations, and memory handling within agent-based apps.
• Support document processing, including embedding generation and prompt assembly.
• Build Python REST APIs to enable data retrieval and agent workflows.
• Process/transforms data for AI workflows with Postgres schemas and query performance.
• Handle testing, deployment, and classified enterprise constraints.
• Design and lead the team to deliver end-to-end orchestration within the platform.

Skills

Python

REST APIs

LLMs

RAG workflows

agent-based programming

SQL

production-grade code

Cloud/ AWS

Testing and deployment

Education

Bachelor’s in computer science or related field

Tools

FastAPI

Flask

Postgres

Vector databases

Embedding models

Job description

Embedded Alliance, Inc. is seeking an AI Engineer to implement LLM models inside an analytic environment for a classified enterprise setting.

The role focuses on agent-based components, retrieval pipelines, and production-ready integrations that enable end-to-end orchestration on the platform. Responsibilities include building REST APIs in Python, enabling data retrieval and system integration, and handling memory, prompts, and embedding generation.