AI Engineer

We are seeking an experienced AI Engineer to join our team and lead the development of cutting-edge artificial intelligence 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. 

Key Responsibilities 

System Architecture & Development 

• 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. 

Production Deployment 

• 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.  

MLOps & Infrastructure 

• 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.

Ethical AI & Governance 

• 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.  

Collaboration & Leadership 

• 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.  

Qualifications :

• 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. 
• Bachelors degree in Computer Science Engineering Mathematics or related field; Masters degree preferred.

Additional Information :

We Value:

• Drive: Passion and energy to implement quality technical solutions. Self-motivation and intellectual curiosity
• Commitment to Quality: Passion to conceive and produce world-class solutions that drive real-world value for the customer
• Customer Focus: Consultative approach to solving problems for customers. Expectations management.
• Communication: Superior communication skills. Ability to clearly articulate problems solutions risks rewards etc. (written and verbal)
• Technical Skills: Love for technology. You have to be inherently passionate about technology.
• Business Acumen: Technology ultimately is used to enable the business. We look for people who understand how the businesses can be enabled through their technical solutions

What we offer:

• Ability to make a noticeable difference for the organization and our customers
• Tremendous growth opportunity by becoming part of a rapidly growing organization. Its 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

Work authorization requirement: US Citizenship or Permanent Residence.

Oteemo is an equal employment and affirmative action employer. We evaluate qualified applicants on merit and business needs and not on race color religion creed gender sexual orientation national origin ancestry age disability genetic information marital status veteran status or any other factor protected by law. Oteemo complies with the law regarding reasonable accommodations for handicapped and disabled employees.

It has come to our attention that unauthorized individuals may be impersonating our company or recruiters using fake email addresses or social media profiles to contact job seekers. These messages may offer fake job opportunities or request sensitive information under false pretenses.
Please be advised:

• All official communications from our company will come from email addresses ending in @.
• We do not ask for personal information such as your Social Security number bank account details or payment of any kind during the recruitment process.
• If you receive an email or message that seems suspicious do not respond click on any links or provide any information.
• You can verify the legitimacy of any communication by contacting us directly through our official website or LinkedIn page.

We take these matters seriously and are committed to protecting the integrity of our recruitment process.

Remote Work :

No

Employment Type :

Full-time