Senior AI Engineer – Agentic AI

We are seeking an experienced Senior AI Engineer – Generative AI & LLMs to design, develop, and deploy scalable AI solutions for enterprise applications.

The ideal candidate will have strong hands-on expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Python, NLP, and Machine Learning. Experience with cloud platforms, vector databases, AI frameworks, and production AI deployments is essential.

Key Responsibilities

• Design, develop, test, and deploy AI and Machine Learning solutions.
• Build Generative AI applications using LLMs and foundation models.
• Develop and optimize RAG pipelines using embeddings, vector databases, semantic search, and hybrid search.
• Create intelligent assistants, conversational AI applications, and AI-powered automation solutions.
• Implement prompt engineering, model evaluation, and performance optimization techniques.
• Integrate AI capabilities into enterprise systems using REST APIs and microservices.
• Develop NLP, Deep Learning, and Machine Learning solutions based on business requirements.
• Deploy AI applications using AWS, Azure, or GCP.
• Apply Docker, Kubernetes, CI/CD, and MLOps practices to support reliable deployments.
• Monitor and improve AI application accuracy, latency, scalability, and performance.
• Collaborate with software engineers, data scientists, architects, and business stakeholders.
• Research and implement emerging technologies in Generative AI, LLMs, and Agentic AI.

Required Qualifications and Skills

• 5–10 years of relevant experience in AI/ML engineering, Machine Learning, or related software engineering.
• Strong programming skills in Python.
• Hands-on experience with Generative AI and Large Language Models.
• Practical experience developing RAG applications, embeddings, vector search, and semantic search.
• Experience with one or more AI frameworks or technologies, such as LangChain, LangGraph, LlamaIndex, Hugging Face, OpenAI APIs, PyTorch, or TensorFlow.
• Experience with vector databases such as Pinecone, FAISS, Milvus, Weaviate, or Azure AI Search.
• Good understanding of NLP, Deep Learning, and Machine Learning fundamentals.
• Experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform.
• Familiarity with Docker, Kubernetes, REST APIs, CI/CD, and MLflow.
• Ability to build scalable, secure, and production-ready AI applications.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• A PhD in a relevant discipline is preferred but not mandatory.
• Experience with Agentic AI, AI agents, or multi-agent systems.
• Exposure to Conversational AI, Voice AI, speech-to-text (STT), or text-to-speech (TTS).
• Experience with MLOps, LLMOps, AI governance, or AI security.
• Experience delivering enterprise or financial-services AI solutions.
• Contributions to AI research, open-source projects, or relevant technical publications.

Ideal Candidate

The ideal candidate is a hands-on AI professional who can translate business requirements into practical AI solutions. Candidates should be able to demonstrate real-world project experience in Generative AI, LLMs, RAG, or Machine Learning, preferably involving production deployments or enterprise applications.

How to Apply

Interested candidates can apply through Indeed or email their updated CV to afreen@enums.co .

Email Subject: Application – Senior AI Engineer

Only shortlisted candidates will be contacted.

Pay: From RO1,200.000 per month

Work Location: In person