Python Generative AI Developer

Calidad Infotech; Ahmedabad District; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Calidad Infotech in Ahmedabad is seeking a Python Generative AI Developer to design, build, and deploy AI-powered applications using Generative AI, LLMs, and modern cloud tech. The ideal candidate will have hands-on Python, GenAI frameworks, and API development experience.

You'll work on scalable backend architectures, RAG pipelines, and RESTful services, with exposure to cloud platforms and DevOps practices.

Qualifications

• 4–5 years of professional software development experience.

Responsibilities

• Design, develop, and maintain Generative AI applications using Python.
• Build and optimize LLM-powered applications using LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
• Develop RAG pipelines using vector databases and embedding models.
• Integrate AI solutions with APIs, databases, enterprise applications, and third-party services.
• Work on model evaluation, fine-tuning, performance optimization, and cost optimization.
• Develop RESTful APIs and microservices using FastAPI, Flask, or Django.
• Implement monitoring, logging, observability, and security best practices.
• Collaborate with product managers, data scientists, and engineering teams.
• Stay updated with emerging Generative AI technologies and LLM models.

Skills

Python

Generative AI

LLMs

Prompt Engineering

APIs

FastAPI

Flask

Django

SQL

NoSQL

Git

AWS

Azure

GCP

Kubernetes

CI/CD

MLOps

Tools

LangChain

LlamaIndex

CrewAI

AutoGen

Semantic Kernel

Job description

Python Generative AI Developer Job Description

Position: Python Generative AI Developer
Experience: 4-5 Years
Location: Ahmedabad On-site
Employment Type: Full-Time

Job Summary :

We are looking for a skilled Python Generative AI Developer with 4–5 years of software development experience to design, develop, and deploy AI-powered applications using Generative AI, Large Language Models (LLMs), RAG, AI Agents, and modern cloud technologies.

The ideal candidate should have strong hands-on experience with Python, GenAI frameworks, LLM-based applications, scalable backend architectures, and API development. Experience with cloud and DevOps practices will be an added advantage.

Key Responsibilities :

• Design, develop, and maintain Generative AI applications using Python.
• Build and optimize LLM-powered applications using LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
• Develop RAG pipelines using vector databases and embedding models.
• Integrate AI solutions with APIs, databases, enterprise applications, and third-party services.
• Work on model evaluation, fine-tuning, performance optimization, and cost optimization.
• Develop RESTful APIs and microservices using FastAPI, Flask, or Django.
• Implement monitoring, logging, observability, and security best practices.
• Collaborate with product managers, data scientists, and engineering teams.
• Stay updated with emerging Generative AI technologies and LLM models.

Required Skills :

• 4–5 years of professional software development experience.
• Strong proficiency in Python.
• Hands-on experience with Generative AI and Large Language Models (LLMs).
• Experience with OpenAI, Anthropic, Gemini, Llama, Mistral, or similar models.
• Experience with LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, or equivalent.
• Strong understanding of Prompt Engineering, RAG, Vector Databases, Embeddings, Semantic Search, AI Agents, and Tool Calling.
• Experience with FastAPI, Flask, or Django.
• Good knowledge of SQL and NoSQL databases.
• Experience with Git and modern software development practices.
• Experience with AWS, Azure, or GCP.
• Knowledge of Docker (Good to Have).
• Knowledge of DevOps and CI/CD pipelines.
• Experience with Kubernetes.
• Experience with Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
• Knowledge of Terraform or CloudFormation.
• Experience with monitoring tools such as Prometheus, Grafana, ELK Stack, or Datadog.
• Experience deploying AI/ML workloads in production.
• Familiarity with MLOps, LLM observability, AI governance, security, and responsible AI.
• Experience working in an Agile/Scrum environment.

Preferred Candidate :

• Strong problem-solving and analytical skills.
• Good communication and collaboration skills.
• Hands-on experience building and deploying production-grade GenAI/LLM applications.
• Ability to work effectively in a fast-paced engineering environment.