AI/ML Engineer: Build RAG-Driven LLM Prototypes

Insight Global; McLean (VA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

None

Job summary

Insight Global seeks a skilled AI/ML developer in McLean, VA to design and prototype RAG-based solutions and work with LLMs. You will build proof-of-concept apps, integrate RESTful APIs for data exchange, and manage data with Postgres.

Collaborating with researchers and engineers, you will evaluate approaches, document findings, and share insights on AI/ML advancements and experiments.

Qualifications

• Strong proficiency in Python for AI/ML workflows.
• Experience developing and implementing RAG models with LLMs.
• Experience with RESTful APIs for data retrieval and exchange.
• Strong Postgres skills: schema design, querying, performance.
• Exposure to geospatial data and related technologies.
• Experience with data pipelines or vector databases for AI/ML.
• Familiarity with AWS, GCP, or Azure for prototyping.

Responsibilities

• Design, develop, and prototype solutions leveraging RAG models and LLMs.
• Build and iterate on proof-of-concept applications to explore emerging technologies.
• Implement and integrate with RESTful APIs for retrieving and exchanging data.
• Work with Postgres to store, query, and manage data for AI/ML applications.
• Collaborate with researchers and engineers to evaluate approaches, document findings, and recommend next steps.
• Contribute to knowledge-sharing within the team on AI/ML advancements and experimental outcomes.

Skills

Python

RAG models

LLMs

RESTful APIs

Postgres

Geospatial data

Data pipelines

Vector databases

Cloud platforms

Job description

Insight Global seeks a skilled AI/ML developer in McLean, VA to design and prototype RAG-based solutions and work with LLMs. You will build proof-of-concept apps, integrate RESTful APIs for data exchange, and manage data with Postgres.

Collaborating with researchers and engineers, you will evaluate approaches, document findings, and share insights on AI/ML advancements and experiments.