Senior AI Engineer

Experience Minimum 6 years of professional experience in Artificial Intelligence, Machine Learning, and AI Solution Development.

Key Responsibilities
Design and build scalable AI applications for enterprise customers. Develop intelligent AI Agents capable of reasoning, planning, tool usage, and multi-agent collaboration. Build Retrieval Augmented Generation (RAG) systems using vector databases and enterprise knowledge sources. Design, develop, and optimize prompts for LLM-powered applications. Integrate AI solutions with enterprise systems through REST APIs, GraphQL, webhooks, databases, ERP, CRM, HR, and collaboration platforms. Develop AI workflows using orchestration platforms such as n8n, LangGraph, LangChain, Semantic Kernel, or similar frameworks. Deploy AI applications to Azure, AWS, or Google Cloud environments. Build secure and scalable backend services supporting AI solutions. Optimize inference performance, latency, reliability, and operational costs. Evaluate and benchmark different AI models for specific business use cases. Implement monitoring, observability, logging, and evaluation frameworks for AI systems. Design data pipelines for AI training, fine‐tuning, and inference. Collaborate with UI/UX teams to create intuitive AI-powered user experiences. Mentor junior AI engineers and conduct technical code reviews. Participate in solution architecture, client workshops, technical presentations, and proposal development. Stay current with advancements in Generative AI, LLMs, Agentic AI, reasoning models, and emerging technologies. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field. Minimum 6 years of hands-on software engineering experience. Minimum 4 years developing Machine Learning or AI solutions. Minimum 2 years working with Generative AI and Large Language Models in production environments. Required Technical Skills Programming Python (Expert) SQL Git OpenAI APIs Anthropic Claude Google Gemini Prompt Engineering Function Calling Structured Outputs AI Agents Agentic AI Architectures Multi‐Agent Systems Retrieval Augmented Generation (RAG) Embeddings Semantic Search Fine‐Tuning concepts AI Safety and Guardrails AI Frameworks Experience with several of the following LangChain LangGraph Semantic Kernel AutoGen CrewAI DSPy Scikit‐learn TensorFlow or PyTorch Classification Regression FastAPI Flask REST APIs GraphQL OAuth JWT WebSockets Databases MongoDB Redis Supabase Vector Databases (Pinecone, Weaviate, Qdrant, Chroma, Milvus, or Azure AI Search) Experience with one or more Amazon Web Services DevOps Docker CI/CD GitHub Actions Monitoring and Logging Automation Experience with tools such as n8n Power Automate Make Preferred Experience Enterprise AI implementations. Conversational AI. Computer Vision. OCR. Knowledge Management Systems. ERP integration. Microsoft 365 integration. Dynamics 365. SAP. CRM platforms. Soft Skills Strong analytical thinking. Client‐facing consulting experience. Ability to explain technical concepts to non‐technical stakeholders. Problem‐solving mindset. Strong ownership and accountability. Team player with leadership capabilities. Ability to manage multiple projects simultaneously. What Success Looks Like Within your first 12 months you will Deliver production-ready AI solutions for enterprise customers. Lead technical design of multiple AI initiatives. Improve AI system performance, reliability, and scalability. Mentor junior engineers and establish engineering best practices. Contribute to reusable AI frameworks and internal accelerators. Drive innovation through adoption of new AI technologies. Nice to Have Microsoft AI certifications. Google Professional Machine Learning Engineer. Published AI research or open‐source contributions. Experience speaking at conferences or technical events. Experience with multilingual AI systems. Experience building AI solutions for regulated industries. Why Join Us You will work on some of the most advanced enterprise AI projects in the region, including Agentic AI, enterprise automation, intelligent assistants, voice AI, document intelligence, and autonomous business systems. You'll have the opportunity to shape AI solutions that deliver measurable business impact while working alongside a highly skilled and innovative team.