GeekyAnts
GeekyAnts

AI/ML Engineer – I

onsite
Bangalore
Posted 2/6/2026
Exp: 1-3y

Job Overview

Role: AI/ML Engineer – I Location: Bangalore, Karnataka Experience: 1 – 3 Years Qualification: B.E/B.Tech/B.Sc/M.E/M.Tech (CS/DS) Key Skills: Python, FastAPI, LangChain, OpenAI API, Vector DBs

Job Description

For the GeekyAnts Off Campus Drive 2026, the team is looking for an AI/ML Engineer with strong Python and API fundamentals. You will support the design and integration of AI-powered systems by building APIs, connecting to AI tools like OpenAI and Hugging Face, and contributing to intelligence pipelines.

The role involves working with Vector Databases (Pinecone/pgvector) and frameworks like LangChain or LlamaIndex. You will collaborate with senior engineers to deploy inference endpoints in Dockerized environments.

Roles and Responsibilities

As an AI/ML Engineer – I at GeekyAnts, your key responsibilities will include:

  • Microservices: Building Python-based microservices using FastAPI or Flask for AI feature integration.
  • AI Integration: Integrating cloud AI APIs (OpenAI, Gemini, Anthropic) and implementing embeddings or chat workflows.
  • Data Engineering: Developing simple data cleaning and feature-engineering scripts using Pandas and NumPy.
  • Vector Search: Working with Vector Databases (pgvector, Pinecone) for search and retrieval tasks.
  • Model Ops: Collaborating with senior engineers to deploy and test inference endpoints in Dockerized environments.
  • Evaluation: Assisting in model evaluation, basic prompt design, and embedding pipeline validation.

Skills and Eligibility Criteria

To be eligible for GeekyAnts Off Campus Drive 2026, candidates must meet the following criteria:

  • Educational Background: Bachelor’s or Master’s in Computer Science, Data Science, or related fields.
  • Experience: 1 – 3 Years of relevant experience.
  • Mandatory Technical Skills:
    • Proficient in Python (Clean code and modular architecture).
    • Frameworks: FastAPI or Flask, basic PyTorch/TensorFlow exposure.
    • AI Tools: LangChain, LlamaIndex, OpenAI/Groq/Gemini APIs.
    • Data Tools: Pandas, NumPy, SQL basics.
    • Containerization: Docker awareness.
  • Good-to-Have Skills:
    • Knowledge of Vector DBs (pgvector/Pinecone).
    • Exposure to LangGraph, CrewAI, or agentic frameworks.
    • Interest in chatbot and document AI use cases.
Apply Now

About the Company

GeekyAnts is a design and development studio that specializes in building web and mobile solutions using modern technologies like React, React Native, Next.js, and now, cutting-edge AI. They are big contributors to the open-source community (creators of NativeBase) and work with startups and enterprises to bring ideas to life. Joining GeekyAnts means working in a culture that values curiosity, ownership, and experimentation.