Company Description
Join Oteemo and become part of a transformation powerhouse where innovation meets impact. We're not just another consulting firm—we're architects of digital evolution, blending cutting-edge technical expertise with human-centered design principles to create solutions that resonate. Our work spans Infrastructure, Software Development, DevSecOps, Cybersecurity, Experience and Design, Organizational Change Management, and AI-enabled solutions, but our approach is what truly sets us apart. We measure success through tangible business outcomes, not billable hours.
We foster a culture of continuous learning where your ideas can thrive and technical excellence is celebrated. Our collaborative global team works across borders and time zones, tackling complex challenges for both Commercial Enterprise and Federal Defense clients with equal passion and precision. At Oteemo, you'll have the opportunity to work with emerging technologies and develop your skills alongside industry experts who are reshaping digital landscapes. If you're seeking a place where your technical prowess can drive meaningful change and where innovation isn't just encouraged—it's expected—Oteemo is your next career destination.
Job Description
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. 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.
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; Master's 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. 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
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 @oteemo.com.
- 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.
