Generative AI

Acesoft Labs; Bengaluru; Hybrid; INR 1,500,000 - 2,700,000; Full time

Job summary

Acesoft Labs in Bengaluru is seeking a Generative AI Engineer to join our AI platform team. You will work with Azure OpenAI models such as GPT-4o and GPT-3.5, implement RAG pipelines, and fine‑tune large language models for production readiness.

You will build AI‑powered apps using FastAPI, Streamlit, Django, and Angular, orchestrate AI workflows with Semantic Kernel and function calling, and present technical results to stakeholders.

Qualifications

• Bachelor's degree in Computer science, Artificial intelligence, Machine learning, or related field.
• At least 2+ year of hands‑on experience working on generative AI projects.
• Strong expertise in Azure OpenAI models (GPT-4o, GPT-3.5, GPT-4o etc.).
• Proficient in Prompt Engineering, Python, Streamlit, Django, FastAPI, and Angular.
• Basics of html, css, javascript, typescript and angular.
• Basic understanding of neural networks, machine and transformer architectures.
• Experience in retrieval‑augmented generation (RAG) and fine‑tuning Large language models.
• Familiarity with AI model orchestration tools such as Semantic Kernel, intent mapping and function calling techniques.
• Excellent public speaking and presentation skills to convey technical concepts to business stakeholders.
• Azure Certified AZ900 or AI900

Responsibilities

• RAG, fine‑tune, and deploy Azure OpenAI models and other open‑source LLMs.
• Build AI‑powered applications using FastAPI, Streamlit, Django, and Angular.
• Design and execute AI workflows using prompt flow, Semantic Kernel and implement function calling for complex use cases.
• Conduct prompt engineering to improve model performance for specific business cases.
• Visualize data and create user interaction insights using Power BI.
• Ensure smooth deployment and maintenance of models on Azure cloud infrastructure, including scalability and optimization.
• Prepare and deliver presentations, demos, and technical documentation to internal and external stakeholders.
• Stay updated with advancements in generative AI, NLP, and machine learning to continuously improve models and methodologies.

Skills

Azure OpenAI

GPT-4o

GPT-3.5

Prompt Engineering

Python

PostgreSQL

FastAPI

Streamlit

Django

Angular

Power BI

Semantic Kernel

Function Calling

RAG

Fine-tuning

Azure Cloud

Public Speaking

Education

Bachelor's degree in CS/AI/related

Master's degree in AI/ML (preferred)

Job description

Preferred candidate profile

b Description:- Generative AI Engineer Position Overview: We are looking for a Generative AI Engineer with expertise in Azure OpenAI and hands‑on experience with models such as GPT-4o, GPT-o1, and open source LLMs like Llama, mistral. You will work on GenAI solutions development, RAG, fine‑tuning, and deploying resources in Azure environment. Proficiency in prompt engineering, Python, PostgreSQL, FastAPI, Streamlit, Django and Angular is essential. This role also requires strong skills in AI models orchestration using intent mapping, Semantic Kernel or function calling, along with proficiency in presentation and public speaking. Key Responsibilities:

• RAG, fine‑tune, and deploy Azure OpenAI models (e.g., GPT-4o, GPT-o1) and other open‑source large language models (LLMs).
• Build AI‑powered applications using frameworks such as FastAPI, Streamlit, Django, and Angular.
• Design and execute AI workflows using tools like prompt flow, Semantic Kernel and implement function calling for complex use cases.
• Conduct prompt engineering to improve model performance for specific business cases.
• Visualize data and create user interaction insights using Power BI.
• Ensure smooth deployment and maintenance of models on Azure cloud infrastructure, including scalability and optimization.
• Prepare and deliver presentations, demos, and technical documentation to internal and external stakeholders.
• Stay updated with advancements in generative AI, NLP, and machine learning to continuously improve models and methodologies.

Required Skills & Qualifications:

• Bachelors degree in Computer science, Artificial intelligence, Machine learning, or related field.
• At least 2+ year of hands‑on experience working on generative AI projects.
• Strong expertise in Azure OpenAI models (GPT-4o, GPT-3.5, GPT-o1 etc.).
• Proficient in Prompt Engineering, Python, Streamlit, Django, FastAPI, and Angular.
• Basics of html, css, javascript, typescript and angular.
• Basic understanding of neural networks, machine and transformer architectures.
• Experience in retrieval‑augmented generation (RAG) and fine‑tuning Large language models.
• Familiarity with AI model orchestration tools such as Semantic Kernel, intent mapping and function calling techniques.
• Excellent public speaking and presentation skills to convey technical concepts to business stakeholders.
• Azure Certified AZ900 or AI900

Preferred Qualifications:

• Master’s degree in Artificial Intelligence, Machine Learning, or related field.
• At least 3+ years of experience working on generative AI, NLP, and machine learning projects.
• Strong understanding of neural networks, machine learning and transformer architectures.
• Implemented GenAI solutions in production.
• Familiarity with Automotive Industry
• Hands on experience in RAG, RAFT and optimized fine‑tuning.
• Azure Certified AI-102, DP-100, AZ-204 or DP-203