Full-Time AI Engineer

AI Engineer will play a pivotal role in designing, developing, and deploying advanced AI solutions, focusing on Natural Language Processing (NLP), Large Language Models (LLMs), and Multi-Modal Generative AI.

Working closely with data scientists, product managers, engineers, and stakeholders, you'll build scalable, production-grade AI solutions addressing customer needs and enabling operational excellence.

Key Responsibilities:

1. AI Solution Development: Design, develop, and optimize AI algorithms and models tailored to business needs; ensure scalability and performance. Develop APIs and services to make AI functionalities accessible across the organization.
2. Data Preparation & Processing: Preprocess and prepare diverse data types (PDFs, Word documents, Excel files, HTML, audio, video, and databases) for machine learning models; ensure data quality, security, and readiness for AI applications.
3. LLM Applications: Build advanced LLM applications including Retrieval-Augmented Generation (RAG) workflows, fine-tuning, and embedding models. Implement reasoning and agent-based systems, leveraging tools like LangGraph, LangChain. Evaluate and optimize performance using RAGAS and advanced retrieval mechanisms.
4. Cloud Deployment & Operations: Deploy AI and LLM applications to cloud infrastructure (AWS preferred). Manage production-grade solutions with tools like Amazon SageMaker, implementing monitoring, scaling, and visibility tools.
5. Performance Monitoring & Troubleshooting: Track the performance of deployed AI solutions using monitoring tools and feedback mechanisms. Continuously improve solution quality by analyzing outputs and addressing identified issues.
6. Research & Innovation: Stay updated on emerging AI methodologies, frameworks, and technologies; incorporate cutting-edge developments into workflows and create reusable AI frameworks.
7. Cross-Functional Collaboration: Work with stakeholders to translate business needs into actionable AI solutions, and collaborate with IT and cloud operations teams for seamless integration and scalability of AI tools.
8. Documentation & Best Practices: Maintain detailed documentation of AI models, processes, and workflows; establish and promote best practices for AI development, deployment, and maintenance across teams.

Technical Expertise: Proficiency in AI techniques, advanced Python programming skills, and experience with frameworks like LangGraph, LangChain. Expertise in handling large datasets (vectorized datasets) and using ETL/ELT tools.

Cloud & MLOps: Hands-on experience deploying and managing AI solutions on AWS; familiarity with containerization technologies like Docker and MLOps practices for efficient model lifecycle management.

Problem Solving & Collaboration: Strong analytical and problem-solving skills; excellent communication skills for cross-functional collaboration and articulating technical concepts clearly.

Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.

Informa's Commitment to Diversity & Inclusion: We are committed to diversity and inclusion.

Join us for a groundbreaking AI journey driving innovation, empowering teams, and delivering transformative value to customers.

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