Senior AI Engineer — Secure LLM & Retrieval Platforms

Analytica; Bethesda (MD); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Bonus opportunities

Employer paid health care

Training funds

401k match

Job summary

Analytica seeks a Senior AI Engineer to build retrieval, semantic search, summarization, and source-traceable AI capabilities for a Federal data analytics modernization initiative. You will develop LLM-powered applications and pipelines, integrate with data platforms, and ensure secure, compliant operations.

The role connects AI/ML, data engineering, and software teams, with a focus on accuracy, latency, and reliability while complying with security and governance requirements.

Qualifications

• Hands‑on experience with LLMs, RAG, semantic search, or generative AI.
• Experience building AI services for search, summarization, document analysis, question answering, or decision support.
• Strong Python and API development skills.
• Experience with embeddings, vector search, retrieval, prompt orchestration, and LLM evaluation.
• Experience implementing source citation, grounding, traceability, and output validation.
• Experience implementing AI guardrails, access controls, logging, monitoring, and error handling.
• Experience integrating AI/LLM services with databases, APIs, search platforms, and data pipelines.
• US citizenship and Top Secret eligibility; active Top Secret clearance highly preferred.

Responsibilities

• Develop LLM-powered applications for retrieval, semantic search, summarization, document analysis, and decision support.
• Build and integrate RAG pipelines, embeddings, vector search, and semantic retrieval capabilities.
• Develop Python-based APIs and AI application services for production environments.
• Implement prompt orchestration, context management, evaluation, source citation, and output grounding.
• Implement guardrails, access controls, authentication, logging, error handling, and output validation.
• Evaluate and optimize AI applications for accuracy, relevance, groundedness, latency, and reliability.
• Integrate AI services with databases, search platforms, APIs, and existing data pipelines.
• Troubleshoot and optimize LLM, retrieval, API, and AI application workflows.
• Develop technical documentation for AI architecture, retrieval workflows, APIs, evaluation methods, and operational procedures.
• Collaborate with AI/ML, data engineering, data science, and software engineering teams throughout development and testing.
• Apply security, privacy, accessibility, data governance, and records-management requirements to AI applications.

Skills

LLMs, RAG, semantic search

Python & API development

Embeddings & vector search

Source citation & grounding

AI guardrails & security

Cross-functional collaboration

US citizenship & TS eligibility

Tools

Kubernetes

PostgreSQL

Microsoft SQL Server

Job description

Analytica seeks a Senior AI Engineer to build retrieval, semantic search, summarization, and source-traceable AI capabilities for a Federal data analytics modernization initiative. You will develop LLM-powered applications and pipelines, integrate with data platforms, and ensure secure, compliant operations.

The role connects AI/ML, data engineering, and software teams, with a focus on accuracy, latency, and reliability while complying with security and governance requirements.