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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence Engineer Fresher - **Company:** Tata Consultancy Services Limited - **Location:** United States (Remote available) - **Salary:** $83,000.0 - $100,000.0 - **Contract:** Internship / Graduate position - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Software Applications, Microsoft Azure, Computer Programming, Continuous Integration, Data Cleansing, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Azure Machine Learning, Feature Engineering, Pytorch, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Pandas, Scikit Learn, Information Technology, HuggingFace, Variational Autoencoders, Virtual Agents, GPT, Automation Anywhere, Databricks - **Published:** July 23, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0b2b4f423b5aa48d ## About the Role * Bachelor's or Master's degree in Artificial Intelligence, Computer Science, IT, Data Science, or related fields Technical Skills Programming & Machine Learning * Strong proficiency in Python * Hands-on experience with NumPy, Pandas, Scikit-learn * Basic understanding of TensorFlow or PyTorch GenAI & LLM Foundations * Familiarity with LLMs, embeddings, and prompt engineering * Understanding of GPT, BERT, and generative models such as GANs, VAEs, Diffusion models Tools & Frameworks * Exposure to LangChain, Hugging Face, OpenAI APIs, Azure OpenAI Service Cloud & Advanced AI Concepts * Awareness of Azure AI, AWS Bedrock, Google Vertex AI * Basic understanding of RAG pipelines, vector databases (Pinecone, FAISS) * Knowledge of Agentic AI and Model Context Protocol (MCP) fundamentals * Familiarity with CI/CD practices for AI workflows Responsible AI & Quality * Awareness of AI fairness, bias, privacy, and responsible AI principles * Understanding of model evaluation metrics and LLM-specific challenges such as hallucination detection and factual accuracy Soft Skills * Strong curiosity and eagerness to learn * Effective communication and collaboration skills * Analytical thinking with a structured problem-solving approach * Willingness to experiment, iterate, and innovate Nice-to-Have (Preferred) * Certifications such as: * Azure AI Engineer Associate * AWS Machine Learning Specialty * Google Professional ML Engineer * Databricks certifications * Internship or academic project experience in AI/ML or Generative AI ## Description We are looking for a passionate and driven AI Engineer to join our growing AI team in the United States. In this role, you will collaborate with experienced engineers and architects to design, build, and deploy innovative AI/ML and Generative AI solutions. This is an exciting opportunity to gain hands-on experience across the entire AI lifecycle-from data preparation and model development to evaluation and real-world deployment-while working on cutting-edge technologies such as LLMs, RAG pipelines, and agentic AI systems. Key Responsibilities * Assist in building, training, and fine-tuning machine learning and Generative AI models * Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) * Develop AI-powered applications using Python and common ML frameworks * Evaluate LLM outputs for accuracy, quality, factuality, and bias * Document model behavior, dataset usage, and training workflows for reproducibility * Collaborate with cross-functional teams (product, engineering, data) for testing and integration * Stay up to date with the latest AI advancements, tools, and research trends ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)