AI/ML ENGINEER
Terralogic
Date: 7 hours ago
City: Bengaluru, Karnataka
Contract type: Full time

Overview
We are building our core AI team and looking for highly skilled AI Engineers who can design, develop, and deploy cutting-edge AI systems. The ideal candidate will have strong foundations in software engineering, hands-on experience with AI frameworks, and a passion for solving real-world problems using intelligent agents and generative AI.
Total Experience
3–6 years (industry experience in AI/Software Development)
Job Skills
We are building our core AI team and looking for highly skilled AI Engineers who can design, develop, and deploy cutting-edge AI systems. The ideal candidate will have strong foundations in software engineering, hands-on experience with AI frameworks, and a passion for solving real-world problems using intelligent agents and generative AI.
Total Experience
3–6 years (industry experience in AI/Software Development)
Job Skills
- Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field
- Strong software development background (Python, APIs, microservices, cloud deployment, etc.)
- Experience with LLMs, vector databases, embeddings, and orchestration frameworks
- Proven ability to build and scale AI applications in production
- Familiarity with LangChain, LangGraph, AutoGen, or similar ecosystems
- Good understanding of data pipelines, MLOps, and evaluation metrics
- Contributions to open-source AI frameworks
- Experience with distributed systems and large-scale data processing
- Knowledge of reinforcement learning or advanced ML research
- Design and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases
- Build, optimize, and deploy AI agents using frameworks like LangGraph, AutoGen, or similar
- Develop and maintain scalable AI solutions in production environments
- Collaborate with cross-functional teams (Design, Product, Data, Engineering) to integrate AI into applications
- Research, prototype, and evaluate new AI/LLM techniques to enhance system performance
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