Job Description
Description
About 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.
Requirements
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.
What 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.
Ability to work in a fast-paced, collaborative environment.
Nice-to-Have Projects
Candidates who have built any of the following will stand out:
AI Chatbot using LLMs
RAG-based Question Answering System
AI Agent using LangChain or LlamaIndex
Document Search and Retrieval Platform
Customer Support Automation Bot
NLP Classification or Information Extraction System
End-to-End ML Deployment Project with Docker/Kubernetes
Benefits
Hybrid setup
Worker's insurance
Paid Time Offs
Other employee benefits to be discussed by our Talent Acquisition team in India.
Helpshift embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status
💡 Editor's Career Guide for this Role
🎯 Why This Role Matters
This role provides direct hands-on experience with production-grade codebases, agile development lifecycles, and scalable architectures. It serves as a major accelerator for careers in backend, frontend, or full-stack software development.
⚡ Key Skills Needed
To stand out for this position, hiring managers for this Entry-Level AI Engineer role are looking for:
- ✓ Strong foundational knowledge in core engineering principles.
- ✓ Ability to adapt quickly to the fast-paced environment at Helpshift.
- ✓ Proficiency in Python, NLP, Generative AI.
💡 Application Tips
- •Tailor your resume: Highlight specific projects or experiences that align directly with current initiatives at Helpshift.
- •Prepare for behavioral rounds: Be ready to discuss times you have handled failure, tight deadlines, or team conflicts.
- •Leverage the AI Assistant: Use the AI Assistant button above to evaluate your resume against this specific Entry-Level AI Engineer description before applying.
