AI Engineer

Calidad Infotech LLP; Ahmedabad District; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Calidad Infotech LLP in Ahmedabad is seeking a skilled Python Generative AI Developer with 4 to 7 years of software experience to design, build, and deploy AI-powered applications using LLMs, RAG, AI agents, and modern cloud tech. You will craft scalable backends and RESTful APIs for AI workloads.

The role requires hands-on expertise with frameworks like LangChain, LlamaIndex, CrewAI, AutoGen, and a strong grasp of prompt engineering, embeddings, and vector databases.

Qualifications

• 4–7 years of professional software development experience.
• Strong proficiency in Python and related frameworks.
• 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 equivalents.
• Strong understanding of Prompt Engineering, RAG architectures, vector databases, embeddings, and AI agents.

Responsibilities

• Design, develop, and maintain Generative AI applications and services using Python.
• Build and optimize LLM-powered solutions using LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
• Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and embeddings.
• Integrate AI solutions with enterprise applications, databases, and third-party services.
• Fine-tune, evaluate, and optimize AI models for performance, accuracy, and cost efficiency.
• Create and maintain RESTful APIs and microservices for AI workloads; collaborate with product managers and engineers.
• Implement monitoring, logging, observability, and security best practices.
• Stay current with emerging AI technologies, models, and industry trends.

Skills

Python

Generative AI

LLMs

LangChain

RAG

APIs

Cloud platforms

DevOps

Vector Databases

Tools

LangChain

LlamaIndex

CrewAI

AutoGen

Semantic Kernel

Job description

About the Role:

• We are seeking a highly skilled Python Generative AI Developer with 4 to 7 years of software development experience to design, develop, and deploy AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and modern cloud technologies. The ideal candidate will have strong Python expertise, hands-on experience with Generative AI frameworks, and a solid understanding of scalable backend architectures.
  
• Experience with DevOps practices and cloud deployment is a strong plus.

Key Responsibilities:

• Design, develop, and maintain Generative AI applications and services using Python.
• Build and optimize LLM-powered solutions using frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, or similar.
• Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.
• Integrate AI solutions with enterprise applications, APIs, databases, and third-party services.
• Fine-tune, evaluate, and optimize AI models for performance, accuracy, and cost efficiency.
• Create and maintain RESTful APIs and microservices for AI workloads. Collaborate with product managers, data scientists, and engineering teams to deliver AI-driven solutions.
• Implement monitoring, logging, observability, and security best practices.
• Stay current with emerging AI technologies, models, and industry trends.
  

Required Skills & Qualifications:

• Technical Skills
  - 4 to 7 years of professional software development experience.
  - Strong proficiency in Python and related frameworks.
  - Hands-on experience with Generative AI and Large Language Models (LLMs).
  - Experience working with OpenAI, Anthropic, Gemini, Llama, Mistral, or similar models.
  - Experience with LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, or equivalent frameworks.
  - Strong understanding of Prompt Engineering, RAG architectures, Vector Databases, Embeddings and Semantic Search, AI Agents and Tool Calling.
  - Experience developing APIs using FastAPI, Flask, or Django.
  - Knowledge of SQL and NoSQL databases.
  - Experience with Git and modern software development practices.

• Cloud & Deployment
  - Experience working with cloud platforms such as AWS, Azure, or GCP.
  - Understanding of containerization technologies such as Docke

• Good to Have (DevOps & Infrastructure)

- Knowledge of DevOps practices and CI/CD pipelines.
- Experience with Kubernetes.
- Experience with Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
- Experience with Infrastructure as Code (Terraform, CloudFormation).
- Experience with monitoring tools such as Prometheus, Grafana, ELK Stack, or Datadog.
- Understanding of cloud-native deployments and scalability concepts.
- Experience deploying AI/ML workloads in production environments.

Preferred Qualifications:

• Experience with model evaluation frameworks and LLM observability tools.
• Familiarity with MLOps concepts and workflows.
• Exposure to AI governance, security, and responsible AI practices.
• Experience working in Agile/Scrum environments.
• Excellent problem-solving and communication skills.