Lead AI Engineer

Oteemo, Inc • Richmond, VA

1h

About The Position

We are seeking an experienced AI Engineer to join our team and lead the development of cutting-edge artificial intelligence solutions. In this role, you will architect end-to-end AI systems, from proof of concept through production deployment, ensuring they meet performance targets while adhering to ethical AI practices. You will work with cross-functional teams to translate business requirements into scalable AI solutions that deliver real impact.

Requirements

• 5+ years of hands-on experience building and deploying AI/ML systems in production.
• Proven track record of delivering AI solutions with measurable business impact.
• Experience with large-scale data processing and distributed computing.
• Strong understanding of machine learning algorithms, neural networks, and deep learning architectures.
• Experience with model optimization and performance tuning.
• Knowledge of software engineering best practices and design patterns.
• Excellent problem-solving and analytical skills.
• Strong communication and presentation abilities.
• Proficiency with AI/ML or data science tools (Python, Pandas, or similar).
• Experience using LLMs for workflow automation, data analysis, or summarization.
• Clear communication skills to explain AI-driven findings to engineering, security, and compliance audiences.
• Hands-on experience building, training, and deploying AI/ML models in production.
• Strong foundation in Machine Learning, Deep Learning, NLP, and Generative AI.
• Proficiency with LLM platforms: OpenAI, HuggingFace, Anthropic Claude, Cohere, Mistral, LLaMA.
• Experience building Agentic AI systems using LangGraph, AutoGen, CrewAI, or LangChain Agents.
• Hands-on with RAG architectures using LangChain, LlamaIndex, and vector databases (FAISS, ChromaDB, Pinecone, Weaviate).
• Understanding of embeddings, vector similarity search, and semantic retrieval.
• Experience with Docker, Kubernetes, and containerized deployments.
• Hands-on with CI/CD pipelines and version control (Git).
• Ability to explain complex AI concepts and data-driven findings to technical and non-technical audiences.
• Strong documentation skills to enable knowledge transfer and adoption.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Nice To Haves

• Master's degree preferred.

Responsibilities

• Design and implement AI architectures including model selection, data pipelines, training infrastructure, and inference systems.
• Develop production-ready AI models achieving <100ms inference latency and optimal accuracy targets.
• Build and optimize machine learning models using deep learning, NLP, computer vision, and reinforcement learning techniques.
• Implement model optimization techniques including quantization, pruning, and knowledge distillation.
• Deploy AI solutions across diverse platforms including REST APIs, gRPC, serverless, and edge devices.
• Establish CI/CD pipelines, automated testing, and model versioning systems.
• Implement A/B testing frameworks and monitoring dashboards for continuous improvement.
• Ensure 99.9% uptime and reliability for production AI systems.
• Design and maintain MLOps infrastructure using tools like MLflow, Kubeflow, or similar platforms.
• Implement model registries, feature stores, and experiment tracking systems.
• Optimize resource utilization and manage distributed training environments.
• Configure monitoring, alerting, and rollback procedures for production models.
• Implement bias detection and fairness metrics across all AI systems.
• Develop explainability tools and model documentation.
• Ensure compliance with data privacy regulations and governance frameworks.
• Conduct robustness testing and establish audit trails.
• Partner with data scientists, software engineers, and product teams to deliver integrated solutions.
• Mentor junior engineers and drive AI best practices across the organization.
• Communicate technical concepts to non-technical stakeholders.
• Lead technical discussions and architectural reviews.

Benefits

• Ability to make a noticeable difference for the organization and our customers
• Tremendous growth opportunity by becoming part of a rapidly growing organization. It’s not your tenure but what you can bring to the table that defines how your career will be shaped. You control your growth.
• Complex but interesting challenges to improve the depth and breadth of your technical and business skills. Our consultants are business technologists and understand how technology drives business.
• Competitive pay and benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees