Senior AI Engineer

About Tecknoworks

Tecknoworks is the boutique technology consulting firm of choice for innovative organizations across North America and Western Europe. With over 23 years of experience and as a trusted Microsoft partner, we have built our reputation by delivering transformative results through Data Analytics, AI, and AI-driven Software Engineering. Our proven track record includes successful AI implementations that have driven measurable business impact for clients across multiple industries.

The Opportunity

We're seeking a Senior AI Engineer to join our established AI practice and work directly on immediate client projects. You'll contribute to our continued success in delivering intelligent automation solutions while collaborating closely with our experienced AI team. This role offers the opportunity to work with both traditional machine learning and large language models across our diverse portfolio of client engagements.

What You'll Do

Client Delivery & Technical Leadership

• Architect enterprise-scale AI solutions for complex client challenges across various industries
• Lead complex multi-model AI implementations that integrate LLMs, traditional ML, and business systems
• Conduct client workshops and technical deep-dives to identify AI opportunities and design solutions
• Present technical concepts confidently to both technical teams and C-level executives
• Manage client relationships and expectations throughout AI project lifecycles

AI Solution Development

• Design and implement sophisticated AI systems including RAG architectures, multi-model orchestration, and hybrid ML/LLM solutions
• Build production-ready AI applications with comprehensive monitoring, governance, and scalability
• Optimize model performance and costs across cloud platforms (Azure AI/AWS SageMaker)
• Implement enterprise MLOps pipelines with automated training, deployment, and monitoring
• Research and evaluate emerging AI technologies for client applications

Team Collaboration & Mentorship

• Collaborate closely with the existing AI team to deliver complex client projects
• Define AI best practices and standards for the organization
• Mentor junior AI engineers and cross-functional team members
• Lead cross-functional AI transformation projects involving data, software, and business teams

What We're Looking For

Required Qualifications

AI/ML Expertise:

• 5+ years of hands-on AI/ML experience with production deployments
• Advanced proficiency in both traditional machine learning and large language models
• Proven experience with LLM operations: prompt engineering, fine-tuning, RAG implementations, and multi-modal integration
• Strong MLOps capabilities: end-to-end ML pipelines, model monitoring, A/B testing, and automated retraining
• Cloud AI platforms: Advanced experience with Azure AI Services or AWS SageMaker, including cost optimization and governance

Technical Skills:

• Programming: Expert-level Python, experience with ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.)
• LLM Technologies: OpenAI, Anthropic, Azure OpenAI, Hugging Face, vector databases, embedding strategies
• Data Engineering: Experience with data pipelines, feature stores, and data quality for AI applications
• Enterprise Integration: API development, microservices, containerization (Docker/Kubernetes)

Client-Facing Experience:

• Strong problem-solving abilities with experience breaking down complex, ambiguous business challenges into manageable AI solutions
• Proven track record of leading technical client engagements and presenting to executive audiences
• Strong business acumen with the ability to translate business problems into AI solutions
• Excellent communication skills in English for international client interactions
• Experience in gathering requirements, solution architecture, and managing technical delivery

Preferred Qualifications

• Advanced degree in Computer Science, AI/ML, Data Science, or related field
• Industry certifications in cloud AI platforms (Azure AI Engineer, AWS ML Specialty)
• Consulting experience in technology or AI advisory roles
• Research contributions through publications, conferences, or open-source projects
• Experience with specific industries (healthcare, pharma, finance, retail, manufacturing)

What We Offer

Professional Growth

• Clear career progression through our defined AI Engineering Career Track (Stage 3 → Stage 4/5)
• Continuous learning budget for certifications, conferences, and advanced training
• Mentorship opportunities with industry experts and senior leadership
• Innovation time for research and experimentation with cutting-edge AI technologies

Impactful Work

• Direct client impact on AI transformation initiatives across multiple industries
• Diverse project portfolio spanning traditional ML, LLMs, and hybrid AI solutions
• Technical thought leadership opportunities through speaking, writing, and industry engagement
• Collaborative environment with cross-functional teams and international clients

Compensation & Benefits

• Competitive salary aligned with senior AI engineering market rates
• Comprehensive benefits package and professional development
• Flexible work arrangements with options for remote work, modern office facilities in Cluj-Napoca, and a distributed team culture that values work-life balance

Our AI Engineering Culture

At Tecknoworks, we believe AI engineering is about creating transformative business solutions, not just implementing technology. Our AI engineers:

• Balance technical excellence with business value delivery
• Embrace continuous learning in our rapidly evolving field
• Collaborate across disciplines to solve complex client challenges
• Maintain high ethical standards in AI development and deployment
• Drive innovation while ensuring production reliability and governance

Ready to Join Our AI Transformation?

If you're passionate about leveraging AI to solve real business problems and want to be part of our journey to become the leading AI consulting firm in our markets, we'd love to hear from you.

Apply now and include:

• Your resume highlighting AI/ML project experience
• A brief cover letter explaining your interest in AI consulting
• Links to relevant work (GitHub, publications, case studies)