Exadel
vehicle lifecycle solutions
MiddleAIEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Middle AI Engineer at Exadel. Skills: AI/ML development, LLMs, agentic AI solutions, Python, PyTorch, TensorFlow, Hugging Face Transformers, LangChain, AutoGPT, CrewAI, cloud platforms, containerization tools, MLOps. Design, develop, and deploy AI-driven applications and agentic systems using LLMs, transformers, and reinforcement learning. Build intelligent automation pipelines for tasks such as incident triage, anomaly detection, and operational decision support”
What You'll Achieve.
enhance automation; enhance decision-making; enhance system intelligence; drive operational excellence; power the next generation of transportation; enhance productivity; deliver better experiences for end consumers; improve model performance; improve contextual accuracy
Industry & Context.
Excellent problem-solving skills
What They're Looking For.
Must Have
Experience in AI/ML development, software engineering, or related roles, Proficiency in Python, Experience with LLMs, Experience with agentic frameworks, Understanding of machine learning, deep learning, and reinforcement learning principles, Familiarity with cloud platforms (AWS, Azure, GCP), Familiarity with containerization tools (Docker, Kubernetes), Experience with MLOps tools and practices for model deployment, Knowledge of observability and system telemetry for AI performance tracking, Excellent problem-solving skills, Excellent communication skills, Collaborative mindset, English level Upper-intermediate
Nice to Have
Knowledge of transformers, Knowledge of reinforcement learning, Knowledge of prompt engineering, Knowledge of retrieval-augmented generation (RAG) techniques
What You'll Do.
and deploy AI-driven applications and agentic systems using LLMs
and reinforcement learning
Build intelligent automation pipelines for tasks such as incident triage
and operational decision support
Develop and fine-tune models for natural language understanding
system behavior prediction
and autonomous task execution
Implement scalable APIs and microservices for AI model serving and orchestration
Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model performance and contextual accuracy
Contribute to architectural decisions
model evaluation strategies
and continuous learning systems
Align with team schedules (daily meetings and reviews between 3–7 PM CET)
How You'll Work.
Team & Collaboration
Collaborate with SRE, DevOps, and product teams to integrate AI capabilities into existing infrastructure and workflows; collaborative mindset; open dialogue; mentorship
Communication Scope
Excellent communication skills; English level Upper-intermediate
Full Job Description
We are seeking a skilled Middle AI Engineer with a deep understanding of the latest trends to join our international team. As a mid-level contributor, you will design and implement agentic AI solutions that enhance automation, decision-making, and system intelligence across the enterprise. This role is ideal for developers with hands-on experience in AI/ML, LLMs, and autonomous agents, and a passion for building scalable, intelligent systems that drive operational excellence. Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers. What You’ll Do Design, develop, and deploy AI-driven applications and agentic systems using LLMs, transformers, and reinforcement learning Build intelligent automation pipelines for tasks such as incident triage, anomaly detection, and operational decision support Collaborate with SRE, DevOps, and product teams to integrate AI capabilities into existing infrastructure and workflows Develop and fine-tune models for natural language understanding, system behavior prediction, and autonomous task execution Implement scalable APIs
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