AI Engineer

SUMMARY:
Are you an AI Engineer who loves turning innovative ideas into real-world business solutions? This is an exciting opportunity to build production-grade AI applications, leverage machine learning technologies, and deliver intelligent solutions that create measurable impact in a highly data-driven environment.

POSITION INFO:
Join a forward-thinking technology environment where AI, machine learning, and software engineering come together to solve complex business challenges. This role is focused on building and deploying reliable, scalable AI-powered applications that improve operational efficiency, enhance customer experiences, and support business decision-making. You will work closely with product, engineering, data, and operational teams to transform experimental AI concepts into production-ready solutions. From intelligent automation and document processing to retrieval-augmented applications and large language model integrations, you will play a pivotal role in shaping the future of AI-driven innovation. This is an ideal opportunity for a hands-on engineer who enjoys building practical AI solutions, solving real-world problems, and taking ownership from concept through to production. Key Responsibilities: Design, build, and maintain production-ready AI and machine learning applications Develop intelligent automation solutions using LLMs, NLP, document intelligence, and AI technologies Translate business requirements into technical designs, implementation plans, and measurable outcomes Build modular and reusable Python-based services, APIs, and workflows Develop document processing and information extraction solutions using OCR and AI technologies Design retrieval-augmented applications, search capabilities, and knowledge management solutions Implement monitoring, logging, validation, testing, and observability practices Integrate AI solutions into existing systems, databases, and operational processes Collaborate with cross-functional teams to support delivery, adoption, and continuous improvement Create technical documentation, standards, and reusable frameworks to support scalability and maintainability Job Experience and Skills Required: Education: Degree in Computer Science, Software Engineering, Data Science, Engineering, or a related field Experience: Strong professional software engineering experience using Python Experience building production-grade AI, ML, or intelligent automation solutions Experience deploying AI capabilities through applications, APIs, workflows, or operational systems Experience working with databases, APIs, and semi-structured data Technical Skills: Python development SQL and database technologies REST API development and integration Large Language Models (LLMs) Natural Language Processing (NLP) Document Intelligence and OCR AI application development and automation Testing, logging, observability, and CI\/CD practices Git version control Advantageous: Retrieval-Augmented Generation (RAG) Embeddings and Vector Databases LangChain, LangGraph, or similar AI orchestration frameworks Snowflake, Snowpark, dbt, or similar modern data platforms Docker and cloud-based deployments Financial services or regulated industry experience Additional Requirements: Strong analytical and problem-solving capabilities Excellent communication skills across technical and non-technical stakeholders Strong ownership mindset and delivery focus Ability to balance innovation, commercial value, and responsible AI practices Passion for continuous learning and emerging AI technologies Apply now! For more exciting IT vacancies, please visit: I also specialise in recruiting in the following: Data Engineer Software Developer Data Analyst Infrastructure Architecture …and more! If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles\/positions. For more information, contact: Karmishka Naidoo Specialist Recruitment Consultant Connect with me on LinkedIn!