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 solutionsBuild production-ready AI applications with comprehensive monitoring, governance, and scalabilityOptimize model performance and costs across cloud platforms (Azure AI / AWS SageMaker)Implement enterprise MLOps pipelines with automated training, deployment, and monitoringResearch and evaluate emerging AI technologies for client applicationsTeam Collaboration & Mentorship
Collaborate closely with the existing AI team to deliver complex client projectsDefine AI best practices and standards for the organizationMentor junior AI engineers and cross-functional team membersLead cross-functional AI transformation projects involving data, software, and business teamsRequirements
What We're Looking For
Required Qualifications
AI / ML Expertise :
5+ years of hands-on AI / ML experience with production deploymentsAdvanced proficiency in both traditional machine learning and large language modelsProven experience with LLM operations : prompt engineering, fine-tuning, RAG implementations, and multi-modal integrationStrong MLOps capabilities : end-to-end ML pipelines, model monitoring, A / B testing, and automated retrainingCloud AI platforms : Advanced experience with Azure AI Services or AWS SageMaker, including cost optimization and governanceTechnical 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 strategiesData Engineering : Experience with data pipelines, feature stores, and data quality for AI applicationsEnterprise 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 solutionsProven track record of leading technical client engagements and presenting to executive audiencesStrong business acumen with the ability to translate business problems into AI solutionsExcellent communication skills in English for international client interactionsExperience in gathering requirements, solution architecture, and managing technical deliveryPreferred Qualifications
Advanced degree in Computer Science, AI / ML, Data Science, or related fieldIndustry certifications in cloud AI platforms (Azure AI Engineer, AWS ML Specialty)Consulting experience in technology or AI advisory rolesResearch contributions through publications, conferences, or open-source projectsExperience 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 trainingMentorship opportunities with industry experts and senior leadershipInnovation time for research and experimentation with cutting-edge AI technologiesImpactful Work
Direct client impact on AI transformation initiatives across multiple industriesDiverse project portfolio spanning traditional ML, LLMs, and hybrid AI solutionsTechnical thought leadership opportunities through speaking, writing, and industry engagementCollaborative environment with cross-functional teams and international clientsCompensation & Benefits
Competitive salary aligned with senior AI engineering market ratesComprehensive benefits package and professional developmentFlexible work arrangements with options for remote work, modern office facilities in Cluj-Napoca, and a distributed team culture that values work-life balanceOur 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 deliveryEmbrace continuous learning in our rapidly evolving fieldCollaborate across disciplines to solve complex client challengesMaintain high ethical standards in AI development and deploymentDrive innovation while ensuring production reliability and governanceReady 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 experienceA brief cover letter explaining your interest in AI consultingLinks to relevant work (GitHub, publications, case studies)