AI Engineer

Illumination Works

AI Engineer developing and deploying LLM and agentic AI solutions for data science projects. Collaborating across teams to transform business processes using advanced AI technologies.

Posted 6/23/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

CloudMicroservicesPythonSQL

About the role

Key responsibilities & impact

Design, develop, and deploy AI solutions leveraging LLMs, RAG, and agentic AI architectures
Design, evaluate, and maintain a seamless generative pipeline that accepts user queries/prompts in conversational language, handles real-time prompt orchestration to generate safe SQL, extracts required insights, and reformats raw datasets into clean, actionable, human-readable answers
Evaluate business processes and identify opportunities where generative AI and autonomous agents can improve efficiency, decision-making, and customer outcomes
Architect multi-agent and agentic workflows using modern frameworks
Develop AI systems that effectively utilize tools, APIs, enterprise data sources, and external services to perform complex tasks
Implement prompt engineering, model evaluation, guardrails, observability, and governance practices for production AI applications
Build and optimize RAG pipelines, vector databases, knowledge retrieval systems, and semantic search capabilities
Assess emerging AI models and technologies to determine the most effective and cost-efficient solutions for client needs
Integrate AI capabilities into enterprise software ecosystems, cloud platforms, and business workflows
Design and implement AI monitoring, testing, evaluation, and continuous improvement processes
Collaborate with business stakeholders, solution architects, software engineers, and data scientists to deliver AI-driven solutions
Present AI concepts, recommendations, architectures, and implementation strategies to technical and executive audiences

Requirements

What you’ll need

Strong proficiency in Python and experience developing AI applications using modern AI and machine learning frameworks
Hands-on experience with LLM orchestration frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or similar technologies
Experience with vector databases and retrieval technologies
Experience implementing APIs, microservices, and cloud-native AI solutions
Knowledge of prompt engineering, model fine-tuning, evaluation frameworks, and AI safety considerations
Strong problem-solving, systems-thinking, and analytical skills
Excellent verbal and written communication skills
B.S. in Computer Science, Information Technology, Statistics, Analytics, Mathematics, Engineering or related scientific field.
Minimum of seven (7) years of experience performing data science in corporate setting
Minimum of two (2) years of hands-on experience building and deploying AI or machine learning solutions
Must have or be willing to obtain Secret Clearance (this requires US Citizenship)

Benefits

Comp & perks

Comprehensive medical, dental, vision and life insurance plans
401K
generous PTO package
training opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonAI applicationsmachine learning frameworksLLM orchestration frameworksvector databasesAPIsmicroservicescloud-native AI solutionsprompt engineeringmodel fine-tuning

Soft Skills

problem-solvingsystems-thinkinganalytical skillsverbal communicationwritten communication

Certifications

B.S. in Computer ScienceB.S. in Information TechnologyB.S. in StatisticsB.S. in AnalyticsB.S. in MathematicsB.S. in EngineeringSecret Clearance