Senior AI Developer

Robotics Technologies LLC; Illinois; On-site; USD 120,000 - 150,000; Full time

Job summary

A leading AI solutions provider in the United States is hiring an experienced AI Engineer to lead the design and development of advanced AI systems. The candidate must have at least 7 years of software development or AI experience, with expert-level proficiency in Python and knowledge of frameworks like PyTorch and TensorFlow. The role involves working on GenAI solutions, graph databases, and optimization of AI models. This is an exciting opportunity for tech-savvy professionals passionate about innovation in AI.

Qualifications

• 7+ years of experience in software development or AI engineering with a strong portfolio.
• Expert-level proficiency in Python and AI/ML frameworks.
• Deep understanding and practical experience with GenAI concepts.

Responsibilities

• Lead the design and development of GenAI solutions.
• Develop and maintain large-scale knowledge graphs.
• Implement GraphRAG pipelines and optimize models.

Skills

Python

Neo4j

Problem-solving

Mathematics

Machine Learning

Education

Bachelor's or Master's degree in computer science, Data Science, Engineering

Tools

PyTorch

TensorFlow

LangChain

LlamaIndex

Job description

ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

• Architect and Implement AI Systems: Lead the design and development of end-to-end GenAI solutions, including RAG pipelines and AI agents, from idea to production deployment.
• Knowledge Graph Development: Design, develop, and maintain large-scale knowledge graphs usingNeo4jto structure complex, multi-source enterprise data (both structured and unstructured).
• GraphRAG Implementation: Build sophisticated GraphRAG pipelines that integrate vector databases and knowledge graphs to ground AI responses in factual, verifiable information and mitigate hallucinations.
• Model Integration and Optimization: Collaborate with data scientists and ML engineers to prepare data and infrastructure for fine-tuning open-source or proprietary Large Language Models (LLMs) and optimizing them for performance and efficiency.
• Data Pipeline Development: Set up scalable data pipelines for data ingestion, embedding generation, preprocessing, and continuous model training/retraining.
• Technical Leadership & Collaboration: Partner with cross-functional teams (e.g., data engineers, product managers, business stakeholders) to translate complex business needs into robust, scalable AI architectures and provide technical guidance to junior developers.
• Innovation & Best Practices: Stay current with the latest advancements in GenAI, graph databases, and MLOps, advocating for and implementing best practices in CI/CD, testing, and responsible AI.

Required Skills & Qualifications

• Experience: 7+ years of experience in software development or AI engineering, with a strong portfolio of production-ready AI projects.
• Programming Proficiency: Expert-level proficiency in Python and related AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex).
• Graph Database Expertise: Strong hands-on experience with graph databases, especiallyNeo4j, including data modeling, Cypher query language, and graph algorithms.
• GenAI & RAG Knowledge: Deep understanding and practical experience with GenAI concepts, LLMs, prompt engineering, embeddings, and building RAG systems.
• Cloud & Infrastructure: Experience in deploying and optimizing models in cloud environments (GCP) and managing project infrastructure.
• Problem-Solving: Excellent analytical and problem-solving skills, with the ability to tackle complex, novel challenges in AI development.
• Education: Bachelor's or master’s degree in computer science, Data Science, Engineering, or a related technical field.