AI Engineer

Altraize; Pune District; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

Altraize seeks an AI/GenAI Engineer with strong Python and hands-on experience in LLMs, RAG pipelines, and AI app development. You will work with senior engineers to design, test, and deploy scalable AI-powered solutions, including reliable applications, chatbots, and automation tools.

You will build APIs with Python, FastAPI/Flask or Node.js, perform data preprocessing and vector search, and support data ingestion pipelines. Strong problem solving and quick learning are essential.

Qualifications

• 6–8 years of software/AI experience.
• 3+ years of Python programming experience mandatory.
• 2+ years in AI, LLMs, RAG pipelines, and AI frameworks.
• Familiarity with APIs, microservices and databases.
• Experience with at least one cloud platform: AWS/Azure/GCP.
• LangChain, Semantic Kernel, or similar frameworks preferred.
• Knowledge of Docker, CI/CD, and vector databases (Pinecone or Weaviate).
• Education in CS/Eng with BE/BTech or higher.

Responsibilities

• Develop and deploy AI/ML and Generative AI apps (RAG, chatbots, automation).
• Build and maintain APIs using Python, FastAPI, Flask, or Node.js.
• Perform data preprocessing, embeddings, and vector search tasks.
• Support data ingestion pipelines and data workflows.
• Debug, monitor, and optimize application performance.
• Collaborate with cross‑functional teams to deliver AI features.
• Support deployment and maintenance of AI solutions on cloud platforms.

Skills

Python

LLMs

RAG pipelines

APIs

Cloud platforms

Problem solving

Learning mindset

Vector databases

Education

BE/BTech

ME/MTech

MCA

MSc

Tools

LangChain

Semantic Kernel

Docker

CI/CD

Pinecone

Weaviate

SQL/NoSQL

FastAPI/Flask/Node.js

Job description

Role Summary

We are looking for an AI / GenAI Engineer with strong Python programming skills and hands-on experience in LLMs, RAG pipelines, and AI application development. The candidate will work closely with senior engineers to design, develop, test, and deploy scalable AI-powered solutions. This role contributes to the organization's AI initiatives by building reliable applications, chatbots, and automation tools.

Role Summary

We are looking for an AI / GenAI Engineer with strong Python programming skills and hands-on experience in LLMs, RAG pipelines, and AI application development. The candidate will work closely with senior engineers to design, develop, test, and deploy scalable AI-powered solutions. This role contributes to the organization's AI initiatives by building reliable applications, chatbots, and automation tools.

Responsibilities

• Develop and deploy AI/ML and Generative AI applications, including RAG pipelines, chatbots, and automation tools.
• Build and maintain APIs using Python, FastAPI, Flask, or Node.js.
• Perform data preprocessing, embeddings, and vector search implementations.
• Support data ingestion pipelines and data workflows.

• Debug, monitor, and optimize application performance.
• Collaborate with cross-functional teams to deliver AI features.
• Support the deployment and maintenance of AI solutions on cloud platforms.

Qualifications

• 6-8 years of experience in Software Engineering or AI/ML roles.
• Minimum 3 years of strong hands-on Python programming experience (mandatory).
• Minimum 2 years of hands-on experience with AI, LLMs, RAG pipelines, and AI frameworks.
• Basic understanding of LLMs, RAG, and AI application development.
• Familiarity with APIs, microservices, and SQL/NoSQL databases.
• Experience with at least one cloud platform: AWS, Azure, or GCP.
• Experience with LangChain, Semantic Kernel, or similar frameworks is preferred.
• Knowledge of Docker, CI/CD, and vector databases such as Pinecone or

• Weaviate is an advantage.
• Education: BE/BTech, ME/MTech, MCA, or MSc in Computer Science.
• Minimum 2 years of stability in an organization.
• Excellent verbal and written communication skills.
• Strong problem-solving and learning mindset.
• Notice period: Immediate to 30 days.

Skills: automation,cloud,databases,python,rag,pipelines