AI Engineer jobs in United States
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Oteemo Inc. · 1 day ago

AI Engineer

Oteemo Inc. is a transformation powerhouse specializing in digital evolution and innovative solutions. They are seeking an experienced AI Engineer to lead the development of cutting-edge artificial intelligence solutions, architecting end-to-end AI systems and collaborating with cross-functional teams to translate business requirements into scalable AI solutions.

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Comp. & Benefits
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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

Qualification

AI/ML systemsMachine LearningDeep LearningModel OptimizationNLPGenerative AIDockerKubernetesCI/CD pipelinesPythonAnalytical skillsCommunication skillsProblem-solvingDocumentation skills

Required

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
US Citizenship or Permanent Residence

Preferred

Master's degree in Computer Science, Engineering, Mathematics, or related field

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

Company

Oteemo Inc.

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Oteemo is a technology and business transformation consulting firm that combines deep technical expertise with human-centered design principles to deliver innovative solutions.

Funding

Current Stage
Growth Stage

Leadership Team

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Raja Gudepu
Founder & CEO
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Company data provided by crunchbase