Artificial Intelligence Engineer

Job Summary

We are looking for an AI Engineer to design, develop, deploy and maintain AI/ML solutions that solve real-world business problems. The ideal candidate has strong programming and machine-learning fundamentals, hands-on experience with Generative AI, LLMs, NLP or computer vision, and the ability to take AI solutions from experimentation to production.

Experience: 9yrs to 18yrs

Key Responsibilities

• Design, develop, and deploy AI/ML models and applications.
• Build Generative AI and LLM-based applications, including RAG, AI agents, and prompt-based solutions.
• Develop data pipelines for training, evaluation, and inference.
• Integrate AI models and APIs into production applications.
• Implement model evaluation, monitoring, optimization, and continuous improvement.
• Work with vector databases, embeddings, retrieval systems, and knowledge bases.
• Fine-tune or adapt machine-learning/LLM models when required.
• Collaborate with software engineers, data scientists, product managers, and business stakeholders.
• Write clean, maintainable, well-tested production code.
• Deploy AI applications using cloud platforms and containerized environments.
• Stay current with developments in AI, machine learning, LLMs, and related technologies.

Required Skills

• Strong proficiency in Python.
• .Net and C# or Java
• Good understanding of machine learning and deep learning concepts.
• Experience with frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Hands-on experience with LLMs, Generative AI, NLP, or computer vision.
• Experience with REST APIs and integrating AI services into applications.
• Knowledge of SQL and data processing.
• Understanding of Git, Docker, CI/CD, and software development practices.
• Familiarity with cloud platforms such as AWS, Azure or Google Cloud.
• Strong problem-solving and analytical skills.

Preferred Skills

• Experience with RAG architectures and vector databases such as FAISS, Pinecone, Weaviate, or Milvus.
• Experience with LLM frameworks such as LangChain or LlamaIndex.
• Knowledge of model serving and inference optimization.
• Experience with AI evaluation and observability.
• Familiarity with Kubernetes and MLOps.
• Experience working with open-source LLMs and model fine-tuning.
• Knowledge of responsible AI, security, and data privacy practices.

Education

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering.