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Retrieval Augmented Generation Rag Jobs in Washington

Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality, accuracy, explainability, and contextual relevance. * Engineer and optimize prompt orchestration ...

AI Engineer

Reston, VA · On-site

$75K - $190K/yr

Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality, accuracy, explainability, and contextual relevance. * Engineer and optimize prompt orchestration ...

AI Engineer

Reston, VA · On-site

$75K - $190K/yr

Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality, accuracy, explainability, and contextual relevance. * Engineer and optimize prompt orchestration ...

... on Retrieval-Augmented Generation (RAG) or similar retrieval-based workflows. • Proficiency with Python and common data/AI libraries. • Experience designing and using REST APIs to retrieve ...

Develop and implement AI-powered applications using Azure OpenAI, LLM technologies, Retrieval-Augmented Generation (RAG) pipelines, and vector database architectures * Design and build Generative AI ...

Develop and implement AI-powered applications using Azure OpenAI, LLM technologies, Retrieval-Augmented Generation (RAG) pipelines, and vector database architectures * Design and build Generative AI ...

Develop and implement AI-powered applications using Azure OpenAI, LLM technologies, Retrieval-Augmented Generation (RAG) pipelines, and vector database architectures * Design and build Generative AI ...

Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) * Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk adjustment ...

Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) * Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk adjustment ...

Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) * Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk adjustment ...

... Retrieval-Augmented Generation (RAG) pipelines. Qualifications : Required : • Position Requires a Top Secret (TS/SCI) Clearance with a Polygraph. • Candidate must have hands-on experience with ...

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Mid-Level Full-Stack AI Engineer [$308k/yr+] TS/SCI-FS Poly with Security Clearance

Mid-Level Full-Stack AI Engineer [$308k/yr+] TS/SCI-FS Poly with Security Clearance

SYSTOLIC

Annapolis Junction, MD • On-site

$308K/yr

Other

Posted 13 days ago


Job description

Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered. Summary: • Develop and operate AI platform components, scalable inference services, and AI application ecosystems. • Lead development and maintenance of production AI services, including Retrieval Augmented Generation (RAG) and Agentic AI.

• Serve as technical lead for AI infrastructure initiatives. • Implement and oversee monitoring, logging, and observability solutions. • Ensure high availability, reliability, performance, and security of AI platform components.

• Requires expertise in large-scale production systems, systems integration, AWS, Kubernetes, Python, OpenTelemetry, Grafana, Prometheus, LangChain, and Database Engineering. Qualifications & Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 12+ years • Total Compensation: $308k+ yearly Job Description: • Design, implement, and optimize infrastructure for AI model inference at scale. • Lead the development and maintenance of production AI services and applications, including Retrieval Augmented Generation (RAG) and autonomous agents.

• Serve as technical lead for AI infrastructure initiatives, coordinating work across integrated teams. • Conduct regular one-on-ones and provide coaching, feedback, and support for assigned team members. • Implement and oversee monitoring, logging, and observability solutions for AI services.

• Ensure high availability, reliability, performance, and security of AI platform components. • Establish new technical policies, standards, and governance frameworks where gaps exist. • Drive adoption of new technologies and practices across engineering teams.

• Extensive experience designing, building, and operating large-scale production systems. • Deep expertise in systems integration across diverse technologies and platforms. • Hands-on experience with cloud engineering in AWS.

• Advanced proficiency with Kubernetes administration and deployment patterns. • Strong Python programming skills. • Experience implementing and scaling observability solutions (APM, OpenTelemetry, Grafana, Prometheus).

• Proven ability to lead technical initiatives and influence organizational change. • Experience with AI inference serving technologies (vLLM, LiteLLM, etc.). • Previous experience with agentic frameworks (LangChain).

• Knowledge of vector databases and embedding systems. • Excellent communication, stakeholder management, and leadership skills. About SYSTOLIC: SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission.

Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com. To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency