Applied AI Engineer

Avegenhealth; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Avegenhealth in Pune, India, is seeking an Applied AI Engineer who can design, build, and deploy real-world AI-powered solutions across pharmaceutical workflows.

You will work with domain experts to translate business problems into scalable AI systems, integrating LLMs with APIs and data sources, and deploying end-to-end solutions in cloud environments.

Qualifications

• 2–5 years of software engineering or backend development experience.
• Proficiency in Python and building APIs/services (FastAPI, Flask, etc.).
• Hands-on experience with AI-enabled applications using LLMs (OpenAI, Anthropic, etc.).

Responsibilities

• Design and build AI-powered applications and workflows to solve real-world business problems.
• Develop systems that integrate LLMs with APIs, databases, and enterprise tools.
• Build and deploy end-to-end AI solutions, from prototyping to production.
• Implement retrieval-augmented generation (RAG) pipelines for document intelligence and knowledge workflows.
• Develop intelligent services for data retrieval, analysis, and automated insights generation.
• Integrate AI capabilities into existing or new software platforms and backend systems.
• Collaborate with business and domain teams to translate requirements into scalable technical solutions.
• Optimize solutions for performance, reliability, and cost efficiency.
• Deploy and maintain applications in cloud environments (AWS, Azure, or GCP).

Skills

Python

APIs/services

FastAPI/Flask

LLMs

GenAI

Embeddings

Vector databases

API integration

Tools

AWS

Azure

GCP

Job description

Overview

Avegen is building next-generation AI-powered solutions to enhance workflows across the pharmaceutical value chain. We are looking for an Applied AI Engineer who can leverage modern AI technologies (including LLMs and automation frameworks) to design, build, and deploy real-world solutions. This role is ideal for an engineer who combines strong software development skills with practical AI application experience, and can translate business problems into scalable AI-driven systems. You will work closely with domain experts and stakeholders to develop intelligent applications that improve research, regulatory, and commercial operations. As an early member of this initiative, you will help shape the technical direction, prototype solutions, and contribute to production-ready systems.

Responsibilities

• Design and build AI-powered applications and workflows to solve real-world business problems
• Develop systems that integrate large language models (LLMs) with APIs, databases, and enterprise tools
• Build and deploy end-to-end AI solutions, from prototyping to production
• Implement retrieval-augmented generation (RAG) pipelines for document intelligence and knowledge workflows
• Develop intelligent services for data retrieval, analysis, and automated insights generation
• Integrate AI capabilities into existing or new software platforms and backend systems
• Collaborate with business and domain teams to translate requirements into scalable technical solutions
• Optimize solutions for performance, reliability, and cost efficiency
• Deploy and maintain applications in cloud environments (AWS, Azure, or GCP)

Qualifications

• 2–5 years of experience in software engineering or backend development
• Strong proficiency in Python and building APIs/services (FastAPI, Flask, etc.)
• Hands-on experience building AI-enabled applications using LLMs (OpenAI, Anthropic, or similar)
• Experience in developing end-to-end AI/ML or GenAI-based solutions
• Practical knowledge of RAG, embeddings, and vector databases
• Experience integrating APIs, data sources, and third-party services