AI Engineer

As an AI Engineer, you play a critical role in transforming how teams operate by developing AI-driven tools that solve real business challenges. You work closely with stakeholders to turn complex needs into simple, scalable solutions. Whether it's automating customer feedback analysis, streamlining campaign workflows, or building tools that improve asset creation, your work directly influences how teams operate. You combine technical expertise with business understanding to drive measurable impact across the organization., You take full ownership of designing and shipping production-ready AI systems from scoping to deployment. You build solutions that automate workflows, accelerate decision-making, and create efficiency across teams. Using NLP, LLMs, and agentic workflows, you translate business problems into intelligent systems that are reliable and scalable., * Design, develop, and deploy AI-driven systems integrating NLP, machine learning, and automation

• Lead end-to-end ownership of AI products from opportunity identification to production deployment
• Build applications using frameworks such as Streamlit, or FastAPI
• Create integrations via APIs and webhooks to connect AI solutions with internal systems
• Fine-tune and evaluate LLMs for specific business use cases
• Define technical standards and contribute to best practices for AI development and deployment
• Monitor, optimize, and scale AI systems through strong MLOps practices

You won't

• Deliver experiments without production follow-through
• Build systems without clear performance or adoption metrics
• Overengineer solutions that should remain simple
• Avoid accountability for technical direction and outcomes

Do you have experience in Python?, Experience: 5+ years in AI, You combine technical depth with ownership and clarity. You are comfortable defining architecture, setting standards, and driving projects independently. You communicate complex concepts in a simple way and align stakeholders around practical solutions. You move between experimentation and production with discipline. You measure success through adoption, performance, and efficiency gains. You stay current with AI developments and apply them responsibly to improve systems and workflows., * 5+ years of experience building AI/ML solutions, with strong production experience

• Degree in Computer Science or a related technical field
• Advanced proficiency in Python and ML frameworks such as PyTorch and scikit-learn
• Experience with NLP, LLMs, and modern GenAI approaches are a must (RAG, agentic workflows, tool use, multi-modal systems)
• Experience with data preprocessing, model evaluation, and performance optimization
• Hands-on experience with CI/CD, Docker, Kubernetes, and cloud platforms (preferably Azure or GCP)
• Experience with MLOps, including monitoring and scaling AI systems, * Prefer experimentation without production responsibility
• Avoid defining architecture or setting technical standards
• Struggle to connect AI systems to measurable business impact
• Feel uncomfortable taking ownership of end-to-end delivery

Still listening?

Good. Building AI systems that move from concept to production and reshape how teams operate is real impact. If you're ready to lead that journey and ship systems that scale, apply and let's talk.