Helpshift is a leading customer service platform powered by AI and automation, helping businesses deliver exceptional customer support experiences across digital channels. We are looking for passionate AI Engineers who are eager to build intelligent systems using the latest advancements in Generative AI, NLP, and Machine Learning.

Role Overview

As an Entry-Level AI Engineer, you will work with experienced engineers and data scientists to design, develop, and deploy AI-powered solutions. You will contribute to building conversational AI systems, intelligent automation workflows, Retrieval-Augmented Generation (RAG) pipelines, and machine learning applications that enhance customer support experiences. This role is ideal for candidates with a strong foundation in Python, Natural Language Processing (NLP), Generative AI, and MLOps who are excited about solving real-world problems using AI technologies.

Responsibilities

Develop and maintain AI/ML applications using Python
Build and optimize NLP pipelines for text processing, classification, information extraction, and semantic search
Develop Generative AI solutions using Large Language Models (LLMs)
Implement Retrieval-Augmented Generation (RAG) systems using vector databases and embedding models
Design prompts and evaluate LLM responses for quality and performance
Collaborate with senior engineers to deploy and monitor AI applications in production
Build APIs and AI services using frameworks such as FastAPI
Assist in model training, fine-tuning, evaluation, and experimentation
Work with MLOps tools to automate model deployment, monitoring, and versioning
Participate in code reviews, testing, debugging, and documentation activities
Stay updated with emerging AI, NLP, and Generative AI technologies

Technical Skills

Strong programming skills in Python
Understanding of Data Structures and Algorithms
Knowledge of Machine Learning fundamentals
Understanding of Natural Language Processing (NLP) concepts: Tokenization, Embeddings, Text Classification, Named Entity Recognition (NER), Semantic Search, Transformer Models
Understanding of Generative AI concepts: Large Language Models (LLMs), Prompt Engineering, RAG (Retrieval-Augmented Generation), Fine-tuning concepts, AI Agent fundamentals
Familiarity with AI/ML frameworks: PyTorch or TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, or similar frameworks

MLOps Knowledge

Understanding of model deployment and serving concepts
Familiarity with: Docker, Git/GitHub, CI/CD concepts, Kubernetes (basic understanding), ML experiment tracking tools (MLflow, Weights & Biases, etc.)

Database & API Skills

Basic knowledge of SQL databases
Familiarity with vector databases such as Pinecone, Weaviate, Qdrant, or ChromaDB
Understanding of REST APIs and FastAPI

Preferred Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field
Hands-on academic projects, internships, or personal projects in AI/ML
Experience building chatbots, AI assistants, or NLP applications
Contributions to open-source AI projects are a plus
Familiarity with cloud platforms such as AWS, GCP, or Azure

We look for strong problem-solving and analytical skills, passion for AI, Machine Learning, and emerging technologies, curiosity to learn and experiment with new AI frameworks and tools, good communication and teamwork skills, and the ability to work in a fast-paced, collaborative environment.

Benefits include a Hybrid setup, Worker's insurance, Paid Time Offs, and other employee benefits.