Associate AI Engineer

Key ResponsibilitiesAssist AI Engineers in developing, integrating, and maintaining AI and Agentic AI components, contributing your programming skills to the broader system.Support LLM-related development tasks such as preparing and cleaning datasets, wiring up prompts and APIs, and helping set up retrieval-augmented generation (RAG) and tuning workflows under guidance.Carry out AI testing and evaluation — running test cases and benchmarks, recording results, and reporting on model and agent performance, accuracy, and reliability.Build and maintain supporting software around AI systems: APIs, data pipelines, scripts, and internal tools.Write clean, well-documented code, participate in code reviews, and follow the team's engineering practices.Learn AI concepts, frameworks, and tools on the job, and progressively take on more AI-focused responsibilities.What We're Looking ForA degree or diploma in Computer Science, Software Engineering, Information Technology, or a related field — or equivalent practical programming experience.Solid programming skills, ideally in Python (experience in other languages is fine if you can pick up Python quickly).Good fundamentals in software development: data structures, APIs, version control (Git), and writing maintainable code.A genuine interest in AI and a strong willingness to learn LLMs, Agentic AI, and AI testing/evaluation on the job.A reliable, detail-oriented approach to testing and following through on tasks.Good communication and a collaborative attitude — you work well as part of a team supporting senior engineers.Nice to Have Any exposure to AI/ML — even through coursework, tutorials, or small personal projects.Familiarity with Python AI libraries (e.g., PyTorch, Hugging Face) or LLM APIs.Experience with data handling, scripting, or automation.Familiarity with cloud services, containers, or basic deployment.A GitHub portfolio or evidence of coding projects.Interested candidates , please send your resume to [email protected]