Senior AI Engineer

Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

5+ years of hands-on AI/ML experience with production deployments., Proficiency in traditional machine learning and large language models., Experience with LLM operations such as prompt engineering and fine-tuning., Strong skills in cloud AI platforms like Azure AI or AWS SageMaker..

Key responsibilities:

  • Architect enterprise-scale AI solutions for complex challenges.
  • Lead multi-model AI implementations integrating LLMs and traditional ML.
  • Conduct workshops and deep-dives to identify AI opportunities.
  • Mentor junior AI engineers and define AI best practices.

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Tecknoworks Information Technology & Services SME http://www.tecknoworks.com/
51 - 200 Employees
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Job description

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 AIdriven Software Engineering. Our proven track record includes successful AI implementations that have driven measurable business impact for clients across multiple industries.

The Opportunity

Were seeking a Senior AI Engineer to join our established AI practice and work directly on immediate client projects. Youll 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 Youll Do

Client Delivery & Technical Leadership

  • Architect enterprisescale AI solutions for complex client challenges across various industries
  • Lead complex multimodel AI implementations that integrate LLMs, traditional ML, and business systems
  • Conduct client workshops and technical deepdives to identify AI opportunities and design solutions
  • Present technical concepts confidently to both technical teams and Clevel executives
  • Manage client relationships and expectations throughout AI project lifecycles
    • AI Solution Development

      • Design and implement sophisticated AI systems including RAG architectures, multimodel orchestration, and hybrid MLLLM solutions
      • Build productionready AI applications with comprehensive monitoring, governance, and scalability
      • Optimize model performance and costs across cloud platforms (Azure AIAWS 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 crossfunctional team members
          • Lead crossfunctional AI transformation projects involving data, software, and business teams
            • Requirements

              What Were Looking For

              Required Qualifications

              AIML Expertise:

              • 5+ years of handson AIML experience with production deployments
              • Advanced proficiency in both traditional machine learning and large language models
              • Proven experience with LLM operations: prompt engineering, finetuning, RAG implementations, and multimodal integration
              • Strong MLOps capabilities: endtoend ML pipelines, model monitoring, AB testing, and automated retraining
              • Cloud AI platforms: Advanced experience with Azure AI Services or AWS SageMaker, including cost optimization and governance
                • Technical Skills:

                  • Programming: Expertlevel Python, experience with ML frameworks (TensorFlow, PyTorch, scikitlearn, 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 (DockerKubernetes)
                    • ClientFacing Experience:

                      • Strong problemsolving 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, AIML, 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 opensource 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 45)
                              • Continuous learning budget for certifications, conferences, and advanced training
                              • Mentorship opportunities with industry experts and senior leadership
                              • Innovation time for research and experimentation with cuttingedge 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 crossfunctional 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 ClujNapoca, and a distributed team culture that values worklife 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 youre 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, wed love to hear from you.

                                              Apply now and include:

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

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Mentorship
  • Collaboration
  • Communication

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