Senior AI Engineer
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
We are seeking an experienced Senior AI Engineer to design develop and deploy intelligent systems with a strong focus on Agentic AI Retrieval-Augmented Generation (RAG) and large-scale Generative AI architectures. The role involves building production-ready AI solutions optimizing model performance and collaborating with cross-functional teams to deliver scalable high-impact AI systems.
Key Responsibilities:
- Design develop and deploy Agentic AI systems and Generative AI solutions
- Build and implement RAG and Information Retrieval pipelines for real-world use cases
- Develop and integrate Large Language Models into production systems
- Perform model evaluation experimentation and continuous improvement
- Optimize model performance scalability and inference efficiency
- Develop AI solutions using Python and modern ML/AI frameworks
- Work with cloud platforms to deploy and manage AI workloads
- Collaborate with engineering and product teams to translate requirements into AI-driven solutions
- Apply prompt engineering techniques to improve LLM outputs
- Maintain documentation and best practices for AI model development and deployment
Requirements
- 58 years of experience in AI/ML engineering or related roles
- Strong hands-on experience with Agentic AI RAG IR and LLM-based systems
- Proficiency in Python and ML/AI frameworks such as TensorFlow PyTorch and Scikit-learn
- Experience with cloud platforms preferably AWS and GCP
- Strong understanding of model development evaluation and optimization
- Ability to work independently and deliver under tight timelines
- Immediate to 20 days notice period preferred
- Candidates from JNTU Hyderabad to be avoided as per hiring guidelines
Required Skills:
Agentic AI Python Retrieval-Augmented Generation (RAG) Information Retrieval (IR) Large Language Models (LLMs) Generative AI Prompt Engineering Model Evaluation & Experimentation TensorFlow PyTorch Scikit-learn AutoML AWS (SageMaker EC2 S3) GCP Cloud-Based Model Deployment Performance Optimization
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
