Senior AI/ML Engineer - LLM, RAG & APIs

B4Corp

McLean (VA)

On-site

USD 171,000 - 209,000

Full time

7 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
401k with company match
Phantom stock
PTO 7 weeks

Job summary

B4Corp in McLean, VA is seeking a Senior AI/ML Engineer to develop and integrate AI/ML-enabled applications focusing on LLM integration, RAG capabilities, and production-ready workflows. The role requires a TS/SCI clearance with a polygraph and offers up to $190,000 per year with core hours 9am–4pm.

Responsibilities include building REST APIs in Python, designing PostgreSQL schemas, and improving system reliability, performance, and scalability within an enterprise environment.

Qualifications

  • Experience building AI/ML-enabled apps with LLM integration, agent workflows, and RAG capabilities.
  • Proficiency in Python and AI libraries, with tool-based LLM development and external system integration.
  • Strong grasp of AI/ML fundamentals: transformers, models, data processing, and deployment patterns.
  • Experience designing REST APIs and working with relational DBs, including schema design and indexing.
  • Knowledge of production-ready practices: reliability, testing, deployability, and performance.

Responsibilities

  • Develop, implement, and maintain AI/ML-enabled apps focused on agent workflows and LLMs.
  • Design and support agent architectures, orchestration, memory/context management, and tool integration.
  • Implement and maintain RAG pipelines, document processing, embeddings, and retrieval configuration.
  • Develop REST APIs and Python services; support data workflows and enterprise deployment.
  • Model, refine, and optimize data pipelines and Postgres schemas; benchmark performance.

Skills

Python
LLM integration
REST API design
PostgreSQL
AI/ML fundamentals
Orchestration

Education

Bachelor's degree

Tools

PostgreSQL
FastAPI/Flask
Docker
AWS
MLflow

Job description

B4Corp in McLean, VA is seeking a Senior AI/ML Engineer to develop and integrate AI/ML-enabled applications focusing on LLM integration, RAG capabilities, and production-ready workflows. The role requires a TS/SCI clearance with a polygraph and offers up to $190,000 per year with core hours 9am–4pm.

Responsibilities include building REST APIs in Python, designing PostgreSQL schemas, and improving system reliability, performance, and scalability within an enterprise environment.

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