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AI Software Engineer IV - Team Lead

TCP Software

Belgrade, Vojvodina, Serbia Remote permanent

Posted: February 24, 2026

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Quick Summary

We are seeking an AI Software Engineer IV to lead our team to develop innovative, scalable software solutions.

Job Description

TCP is committed to cultivating a diverse and inclusive team. However, we are not able to sponsor visas for this role. 

About TCP (TimeClock Plus):

For more than 30 years, TCP has helped organizations engage their people by providing flexible, mobile timekeeping and workforce management solutions. Trusted by tens of thousands of customers and millions of users, TCP delivers best-in-class technology and personalized support to organizations of all sizes in the public and private sector to meet their complex timekeeping, employee scheduling, leave management and other workforce needs. Growth is happening and our vision for a successful future is clear - We'd love for you to join us on this journey! For more information on TCP, visit www.tcpsoftware.com or follow us on LinkedIn or Facebook. 

We are looking for an experienced Software Engineer / TL for AI team. As an AI Team Lead you will:

• Provide technical leadership and mentorship to a team of AI/ML engineers and software developers, fostering their growth and enabling them to deliver high-impact features independently.
• Lead the architecture, design, development, testing, and deployment of scalable AI/ML models and cloud-hosted intelligent applications using modern frameworks, tools, and best practices.
• Collaborate closely with product managers, domain experts, and cross-functional stakeholders to translate business requirements into robust AI solutions.
• Oversee the full AI/ML lifecycle — from data preparation and feature engineering through model training, evaluation, deployment, monitoring, and iterative improvement.
• Ensure high-quality, maintainable code and models through rigorous unit testing, automated testing, peer code/model reviews, and adherence to AI-specific best practices.
• Define and evolve team processes, technical standards, and roadmaps for AI development, while championing agile principles and continuous delivery.
• Drive innovation by staying current with advancements in AI/ML (e.g., large language models, generative AI, computer vision, reinforcement learning), evaluating new technologies, and recommending adoption where appropriate.
• Mentor and grow junior and mid-level team members, conduct regular 1:1s, provide constructive feedback, and support career development.
• Operate with high autonomy: set team priorities and goals, manage risks, resolve complex technical blockers, and represent the team in broader engineering and business discussions.
• Contribute hands-on to critical architectural decisions, proof-of-concepts, and high-complexity implementation when needed, while balancing leadership responsibilities.


Requirements:
• 7+ years of relevant experience in software engineering, with at least 3 years focused on AI/ML development and deployment of production systems.
• Demonstrated ability to solve ambiguous, high-impact problems independently while setting direction for others.
• Experience leading agile teams in a cross-functional environment, with excellent communication skills to bridge technical and non-technical audiences.
• Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
• Experience with generative AI, large-scale data pipelines, or domain-specific applications (e.g., NLP, vision, time-series).
• Deep expertise in Python and modern AI/ML ecosystems (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, or similar), along with experience in cloud platforms (AWS, Azure, GCP) for model training/serving.


Benefits:
• Full remote work, with the option to work from the office, based on personal preference.
• Personalised and individual benefits plan.
• Competitive salary based on experience.
• Voluntary Health insurance plan.
• International working environment.
• 8 hours to volunteer and impact the community.
• The work/life setup you need to be successful.

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