Principal AI Engineer

🔥 1 minute ago

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $143.6k - $205k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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eSimplicity

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

💼 Consulting

🏥 Healthcare

⚕️ Healthcare Insurance

Consulting • Healthcare • Healthcare Insurance

eSimplicity is a company comprised of designers, engineers, and strategists that excels in creating digital services and healthcare IT solutions. They simplify complexity to deliver award-winning products and services that enhance customer experiences, improve public health, and secure the nation. Specializing in areas such as healthcare IT, telecommunications, identity management, and fraud prevention, they work with organizations like the Centers for Medicare & Medicaid Services (CMS) to improve healthcare access and quality. eSimplicity is recognized for their innovative approaches in spectrum management, data analytics, and machine learning, aiming to broaden healthcare coverage and simplify processes for healthcare providers and beneficiaries.

📋 Description

• Architect, develop, and operationalize next-generation agentic systems powered by advanced LLMs and MCP frameworks • Build intelligent, multi-step, tool-using agents that autonomously reason, plan, and execute complex workflows • Design and implement agent orchestration frameworks • Integrate model-driven decision logic • Build robust, production-grade agent capabilities using emerging AI techniques • Provide technical leadership and explore cutting-edge agentic patterns • Drive proof-of-concept innovation • Partner with engineering and product teams to translate experimental architectures into real-world impact • Operate within a cloud-based analytics ecosystem • Work with and respond to government clients during Eastern time zone hours • Attend occasional training and project meetings

🎯 Requirements

• Must pass public trust clearance through the U.S. Federal Government • Must be a U.S. citizen or pass clearance through the Foreign National Government System • For foreign nationals: lived within the United States for at least 3 of the previous 5 years • Valid, non-expired passport from country of birth and appropriate visa/work permit documentation • Bachelor’s Degree • 10+ years of software engineering experience • Experience designing, developing, and supporting production applications, platforms, or services • Experience developing agentic AI solutions, including planning, tool utilization, workflow orchestration, multi-step reasoning, or autonomous task execution • Experience designing and implementing Model Context Protocol (MCP) integrations, tool interfaces, or model-driven service architectures • Ability to analyze business, customer, or mission requirements and develop scalable AI-driven solutions • Experience with LLM development practices, including fine-tuning, retrieval-augmented generation (RAG), prompt engineering, and agent interaction patterns • Proficiency in Python • Experience with APIs, microservices, distributed computing environments, and cloud-native architectures • Experience deploying and integrating AI agents or LLM-enabled applications in Azure, AWS, or Google Cloud Platform (GCP) • Knowledge of MLOps and LLMOps practices, including model versioning, automated testing, deployment automation, monitoring, performance evaluation, and governance • Ability to contribute to solution design discussions and provide technical guidance • Ability to communicate AI-related concepts to technical and non-technical audiences • Experience with version control systems and CI/CD practices, including source code management, automated testing, deployment pipelines, and release management • Desired: Experience building multi-agent systems, agent swarms, or coordinated reasoning frameworks • Desired: Familiarity with advanced tool-calling strategies • Desired: Experience with structured LLM evaluation, agent benchmarking, or autonomous-system test harnesses • Desired: Knowledge of LLM and agent performance optimization • Desired: Experience integrating agentic components with Databricks, Snowflake, Spark, or similar platforms • Desired: Hands-on experience developing innovative POCs or experimental agentic architectures • Desired: Familiarity with Strands Agents, LangGraph, CrewAI, or similar frameworks • Desired: Exposure to safety-oriented design patterns such as guardrails and validation layers • Desired: Experience designing secure, compliance-aware systems handling sensitive data under HIPAA and federal security standards • Desired: Experience implementing encryption, access controls, auditability, and governance for PHI in AI/LLM workflows

🏖️ Benefits

• Medical coverage • Dental coverage • Vision coverage • 401(k) retirement benefits • Paid time off • Paid holidays • Life insurance • Disability insurance • Wellness programs • Employee support programs • Remote work environment • Occasional travel estimated at less than 5% per year