Senior AI Engineer

Role Summary:

We are seeking an AI Engineer with a strong background in Generative AI, Natural Language Processing (NLP), Large Language Models (LLMs), and agentic AI to join our growing team. You will focus on building robust, scalable AI solutions that harness Azure AI capabilities, with a strong emphasis on MLOps and LLM frameworks. You should have a passion for crafting high-quality, production-ready AI systems and a proven track record of delivering impactful solutions.

Key Responsibilities:

* Design & Develop:

•   Architect and implement Generative AI applications using Azure OpenAI Services,    Azure Machine Learning, and other Azure AI tools.
•  Develop and fine-tune LLMs for domain-specific tasks using popular frameworks such    as LangChain, LlamaIndex, Hugging Face Transformers, or similar.
•  Build agentic AI systems capable of autonomous reasoning and task execution.

* NLP and Advanced Language Models:

•  Work with Natural Language Processing pipelines, including text classification,   summarization, entity extraction, and question answering.

* MLOps & Azure Integration:

•   Familiarity with CI/CD pipelines, model versioning, deployment, and monitoring for AI     models using Azure Machine Learning MLOps capabilities.
•  Collaborate with DevOps team to ensure seamless integration of models into production systems.

* Innovation & Scalability:

•   Stay at the forefront of AI advancements, particularly in LLMs and Generative AI, to    continuously enhance our AI solutions.

  Drive the adoption of best practices for scalable and secure AI system development on Azure.

* Mentorship & Collaboration:

•    Provide technical mentorship to junior engineers and contribute to knowledge-sharing    within the team.
•  Collaborate closely with cross-functional teams (Product, Engineering) to translate   business requirements into technical solutions.

Qualifications & Skills:

* Experience:

•  Minimum 4 years of experience in AI engineering, with a strong focus on Generative AI,   LLMs, and NLP.
•  Proven experience building and deploying AI models using Azure AI capabilities,   including Azure OpenAI, Azure ML, and Azure Cognitive Services.
•  Solid experience with LLM frameworks such as LangChain, LlamaIndex, Hugging Face,   etc.
•  Hands-on experience with MLOps pipelines and CI/CD practices.

* Technical Skills:

•  Proficiency in Python (including libraries like PyTorch, TensorFlow, and popular LLM   frameworks).
•  Strong understanding of LLM fine-tuning, prompt engineering, embedding models, and   vector databases (e.g., Azure AI Search, Pinecone, Weaviate).
•  Familiarity with containerization (Docker, Kubernetes) and cloud infrastructure, with a   preference for Azure.

* Soft Skills:

•   Excellent problem-solving skills, with a focus on delivering production-ready solutions.
•   Strong communication and collaboration abilities, with a knack for explaining complex    AI concepts to non-technical stakeholders.

Good to have:

• Experience with backend development, especially in building APIs or integrating AI models into web applications
• Familiarity with Node.js and related frameworks for developing and deploying scalable backend services.

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