AI Engineer

About the Company At CodexTech-IT, we build intelligent solutions that solve complex, real-world problems. We are pioneering the integration of advanced artificial intelligence into our core products to drive efficiency, automation, and next-generation user experiences. About the Role We are seeking a highly skilled AI Engineer to join our growing technology team. In this role, you will be responsible for designing, building, and deploying production-grade AI systems, Large Language Model (LLM) workflows, and machine learning pipelines that scale. Responsibilities System Architecture & Model Deployment Convert validated machine learning and deep learning prototypes into scalable, production-ready APIs and microservices. Design and implement Retrieval-Augmented Generation (RAG) pipelines, semantic search, and agentic workflows using foundational LLMs. Establish robust MLOps pipelines for automated model training, testing, continuous integration, and continuous deployment (CI/CD). Performance Optimization & Infrastructure Optimize AI models for latency, throughput, and compute efficiency (e.g., quantization, pruning, and caching strategies). Manage and scale vector databases (e.g., Pinecone, Milvus, Qdrant) and graph databases for efficient data retrieval. Implement monitoring and logging frameworks to track model drift, data quality, and system performance post-deployment. Cross-Functional Collaboration & Governance Partner with Data Engineering teams to establish clean, reliable data pipelines for model ingestion. Work alongside Product Managers to translate business requirements into technical AI specifications. Adhere to ethical AI guidelines, ensuring data privacy, security, and bias mitigation across all deployed models. Qualifications Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field. Required Skills Technical Expertise Programming: Expert proficiency in Python. Strong understanding of object-oriented programming, data structures, and algorithms. AI/ML Frameworks: Deep experience with PyTorch or TensorFlow, alongside Hugging Face Transformers, LangChain, or LlamaIndex. Cloud & DevOps: Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Data Systems: Proficiency in SQL and experience working with unstructured data platforms, NoSQL databases, and data orchestration tools (e.g., Apache Airflow). Preferred Skills Experience with cloud-native AI platforms (e.g., AWS SageMaker, Google Vertex AI, Databricks). Familiarity with fine-tuning open-source LLMs (e.g., Llama, Mistral) and prompt engineering optimization. Knowledge of distributed computing frameworks (e.g., Ray, Spark). Application Process Interested candidates should submit a resume and a link to a portfolio, GitHub profile, or technical blog to https://www.linkedin.com/in/dixit-nayi-16b141246/ / bde.team@codextech-it.com. Show more Show less