Artificial Intelligence Engineer Fresher

Role - AI Engineer

Location: We are hiring for roles across multiple locations within the United States.

About the Role

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

Education

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

Why Join Us

Work on cutting-edge AI and GenAI initiatives

Gain mentorship from experienced AI architects and engineers

Exposure to real-world, large-scale AI deployments

Dynamic, innovative, and collaborative work environment across the U.S.

Pay: $83,000.00 - $100,000.00 per year

Benefits:

401(k)

Dental insurance

Parental leave

Relocation assistance

Work Location: Remote