5-8 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
Requirements:
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
Job description
This is a remote position.
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
5–8 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
