Senior GenAI Engineer
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
1 hour ago
Vacancies:
1 Vacancy
Job Summary
Requirements
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
Locations:
Bengaluru
Minimum Experience:
5
Maximum Experience:
7
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
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
Required Skills:
Locations: Bengaluru Experience:5 to 7 Years Work Mode- Hybrid (3 Days in a week WFO) Mandatory Skills: Python Gen AI AWS Agentic AI Strong ML fundamentals Falsk FastAPI PyTorch Job Description: We are seeking a highly skilled GenAI Engineer with a strong background in Natural Language Processing (NLP) model fine-tuning deployment and evaluation. The ideal candidate will possess hands-on experience with Python and cloud platforms such as Azure and AWS along with familiarity with various AI frameworks and tools like Langchain PyTorch and SpaCy. 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 indexing 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 various use 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 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
Company Industry
IT Services and IT Consulting
Key Skills
- APIs
- C/C++
- Computer Graphics
- Go
- React
- Redux
- Node.js
- AWS
- Library Services
- Assembly
- GraphQL
- High Voltage
