Artificial Intelligence Engineer

Location: Bangalore - Hybrid

Immediate joiners only. If interested, please:

Apply through the job posting, or

Share your CV at hiring@growtharc.com

Kindly include your Current CTC, Expected CTC, Notice Period, and Location in the email.

Role Overview

We are looking for a Junior AI Engineer (24 years experience) with a strong foundation in machine learning and solid software engineering practices. This role focuses on building and deploying real AI systems, not just experimenting in notebooks.

The ideal candidate should be comfortable writing production-ready code, integrating ML models into applications, and working with modern AI infrastructure and backend systems.

Key Responsibilities

Build and integrate AI/ML models into production applications

Develop APIs and services to expose AI functionality

Work with structured and unstructured datasets for ML workflows

Perform data analysis, feature engineering, and model evaluation

Deploy AI systems using modern backend and containerization tools

Build and maintain data pipelines and AI services

Collaborate with engineering teams to ship scalable AI-powered features

Write clean, maintainable, and well-tested code

Required Skills Programming & Software Engineering

Strong programming skills in Python

Experience with Git for version control

Understanding of software engineering best practices

Experience writing production-grade code

Backend & APIs

Experience building APIs using FastAPI or Flask

Understanding of RESTful services

Basic knowledge of system design and service architecture

Machine Learning Fundamentals

Solid understanding of:

- Supervised & unsupervised learning

- Model evaluation metrics

- Biasvariance tradeoff

- Overfitting and regularization

Experience with Scikit-learn / PyTorch / TensorFlow

Experience performing:

- EDA (Exploratory Data Analysis)

- Feature Engineering

- Model training and validation

Databases

Experience working with databases such as:

PostgreSQL

MongoDB

Vector Databases (Pinecone, Weaviate, FAISS, Chroma, etc.)

Infrastructure & Deployment

Experience using Docker

Familiarity with containerized application deployment

Understanding of CI/CD basics

AI / LLM Ecosystem

Experience with LLM APIs (OpenAI, Claude, etc.)

Knowledge of RAG pipelines

Experience with LangChain / LlamaIndex

Understanding of embedding models and semantic search

What We Are NOT Looking For

Candidates who only worked on Jupyter notebook experiments

Pure research profiles without production engineering exposure

We value engineers who can turn ML models into real, usable systems.

Ideal Candidate Profile

14 years experience in AI / ML / Backend engineering

Comfortable building end-to-end AI features

Strong problem-solving and debugging skills

Interested in applied AI and production systems