Generative AI Engineer

Acesoft Labs; Bengaluru; Hybrid; INR 2,000,000 - 4,000,000; Full time

Job summary

Acesoft Labs in Bengaluru is seeking a Generative AI Engineer to design and implement GenAI solutions, with hands-on work on Azure OpenAI, GPT-4o, and open-source LLMs.

You will build AI-powered apps using FastAPI, Streamlit, Django, and Angular, orchestrate models with Semantic Kernel, and optimize deployments on Azure.

Required experience: 3–6 years, strong prompt engineering, Python, SQL, data visualization with Power BI, and excellent communication.

Qualifications

• Bachelor's degree in CS/AI/ML or related field.
• 2+ years hands-on with generative AI projects.
• Strong Azure OpenAI experience (GPT-4o, GPT-3.5, etc.).
• Proficient in Prompt Engineering, Python, Streamlit, Django, FastAPI, Angular.
• Basics of HTML/CSS/JS/TypeScript and Angular.
• Knowledge of neural networks and transformer architectures.
• Experience with RAG and fine-tuning LLMs.
• Familiarity with Semantic Kernel, intent mapping and function calling.
• Excellent public speaking and presentation skills.
• Azure AI certifications (preferred: AI-102/DP-100/AZ-204/DP-203).

Responsibilities

• RAG, fine-tune, and deploy Azure OpenAI models and open-source LLMs.
• Build AI-powered apps using FastAPI, Streamlit, Django, and Angular.
• Design AI workflows with Semantic Kernel and function calling.
• Conduct prompt engineering to improve model performance.
• Visualize data and insights with Power BI.
• Deploy and scale models on Azure cloud infrastructure.
• Prepare demos, presentations, and technical docs for stakeholders.
• Stay updated on GenAI, NLP, and ML advancements.

Skills

Azure OpenAI

GPT-4o

Prompt Engineering

Python

FastAPI

Streamlit

Django

Angular

RAG

Model Deployment

Education

Bachelors in CS/AI/ML

Masters (preferred)

Tools

Semantic Kernel

Function calling

Power BI

PostgreSQL

Azure Cloud

Job description

Hi all,

We are hiring for the role Generative AI Engineer

Experience: 3 - 6 Years

Location: Bangalore

Notice Period: Immediate - 15 Days

Skills:

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:
• Masters 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