AI Engineer

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Illumination Works

51 - 200 employees

Founded 2006

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • Data Engineering • SaaS

Illumination Works is a company focused on digital transformation and data innovation, specializing in solving complex data challenges and providing actionable insights for better decision-making. The firm excels in data engineering, data science, and software and cloud engineering, offering a range of solutions from machine learning and natural language processing to data visualization and predictive analytics. By prioritizing user-centric design and innovation, Illumination Works helps organizations harness the power of their data to drive efficiency and unlock new business opportunities.

📋 Description

• 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

• 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

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

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