AIML Developer


Job Location:

Pune - India

Monthly Salary: Not Disclosed
Experience Required: 2-3years
Posted on: 5 hours ago
Vacancies: 1 Vacancy

Job Summary

  • Develop and maintain applications using Python
  • Build and integrate LangChain & LangGraph based workflows for LLM-powered applications
  • Work with Vector Databases for embedding storage and similarity search
  • Assist in developing retrieval-augmented generation (RAG) pipelines
  • Write clean testable and well-structured code
  • Collaborate with senior engineers on AI/ML solution design
  • Participate in code reviews and contribute to engineering best practices


Requirements

  • 1 years of experience in software development
  • Proficiency in Python (core language data libraries NumPy Pandas)
  • Working knowledge (C# Core Web API)
  • Hands-on experience with LangChain and LangGraph for building LLM chains and agent workflows
  • Understanding of Vector Databases indexing querying and embedding management
  • Familiarity with REST APIs Git and CI/CD basics
  • Basic understanding of LLMs prompt engineering and embedding models

Nice to Have

  • Exposure to cloud platforms (Azure AWS or GCP)
  • Familiarity with Docker/containerization
  • Understanding of RAG architecture patterns
  • Basic knowledge of ML concepts (supervised/unsupervised learning)



Required Skills:

Requirements: 3 years of experience in software development. Involved in end-to-end software development life cycle. Strong C and Data Structures Object Oriented Programming Design Patterns and WIndows based projects. Familiar with cross-platform application development using Visual Studio Outstanding programming debugging and problem-solving skills Experience with Jira and ownership of assigned tasks Be proactive and take keen interest in grabbing opportunities. Good in verbal and written communication. Preferred Qualification: B.E


Required Education:

BE

Develop and maintain applications using Python Build and integrate LangChain & LangGraph based workflows for LLM-powered applicationsWork with Vector Databases for embedding storage and similarity searchAssist in developing retrieval-augmented generation (RAG) pipelinesWrite clean testable and well-...