PX-Gen AI Engineer-1

7 days ago

Bengaluru, Karnataka, India Ubique Systems Full time ₹ 3,60,000 per year

Mandatory Skills:

Python , Gen AI , AWS , Agentic AI , Strong ML fundamentals , Falsk , FastAPI , PyTorch

Skill to Evaluate:

Python-,-Gen-AI-,-AWS-,-Agentic-AI-,--Strong-ML-fundamentals-,-Falsk-,-FastAPI-,-PyTorch

Experience:5 to 7 Years

Location: Bengaluru

Budget: 30 to 36 LPA

Notice - Immediate

Job Description:

Required Skills & Technologies:

Programming Languages:
Python

Cloud Platforms:
Azure, AWS

AI Frameworks & Tools:
Langchain, LangGraph, PyTorch, SpaCy, DSPy

Web Frameworks:
Flask, FastAPI

Containerization:
Docker

Search & Indexing:
Experience with at least one indexer

Additional:
MCP, API Development, LLM Evaluation, Agentic AI

Preferred Skills:

Familiarity with other cloud-based tools and services for AI and ML development

Knowledge of best practices for deploying AI models at scale

Education Qualificaiton:

Engineering or Masters in Computer Science

Job Title:

PX-Gen AI Engineer-1

Roles & Responsibilities:

Model Fine-Tuning & Training:
Fine-tune Large Language Models (LLMs) to optimize their performance for specific tasks and improve overall model accuracy.

Model Deployment:
Deploy generative AI models into production environments using cloud platforms (Azure, AWS)and containerization technologies such as Docker.

Cloud Integration:
Design and implement end-to-end AI solutions using services from Azure or AWS Marketplace, including but not limited to Cognitive Services, Object Storage, API Management (APIM), and App Services.

NLP & Search Solutions:
Implement NLP-based solutions and develop indexing/search capabilities, with in-depth experience in at least one iindexing systems.

API Development:
Build and maintain RESTful APIs using frameworks like Flask or FastAPI to serve AI models and integrate them with external systems.

LLM Evaluation & Agentic AI:
Evaluate the performance of LLMs for varioususe cases and explore the potential of agentic AI to improve system efficiency.

Continuous Learning & Research:
Stay up-to-date with the latest advancements in Generative AI, NLP, and related fields, and incorporate these advancements into the development process

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