Terralogic
Website:
terralogic.com
Job details:
We are done talking about AI hype—we are building the reality. Terralogic is assembling an elite, core AI squad in Bangalore to build the brain of our next-generation enterprise systems. We are looking for an engineer with 3 to 6 years of experience pushing production code who is ready for an immersive, 5-day-a-week, on-site collaboration model where innovation moves fast. We are not looking for prompt engineers or tutorial followers. We need a brilliant AI Engineer who lives to design, build, and deploy intelligent agents that actually solve complex, real-world problems.
If you want your code to impact massive enterprise workflows rather than sitting in a sandbox, this is your playground.
What You Will Do
- Architect RAG Pipelines: Design and implement robust Retrieval-Augmented Generation pipelines for enterprise impact.
- Build Autonomous Agents: Create, optimize, and deploy advanced AI agents using LangGraph, AutoGen, or similar frameworks.
- Scale in Production: Own the lifecycle of scalable AI solutions from local prototype to cloud production.
- Collaborate and Integrate: Partner directly with Design, Product, and Engineering teams to embed intelligence into core applications.
- Innovate Constantly: Research, prototype, and test the newest LLM techniques to keep our systems ahead of the curve.
What You Bring
- The Foundation: A Master’s degree in CS, AI, ML, or a related field (preferred).
- Code Craftsmanship: Strong backend development skills (Python, APIs, microservices, cloud deployment).
- AI Expertise: Deep familiarity with LLMs, vector databases, embeddings, and orchestration frameworks.
- Proven Track Record: Experience building and scaling real-world AI applications, not just tutorial projects.
- The Ecosystem: Hands-on experience with LangChain, LangGraph, AutoGen, or equivalent tools.
- Engineering Discipline: A solid grasp of data pipelines, MLOps, and rigorous evaluation metrics.
Bonus Points for:
- Open-source contributions to AI frameworks.
- Experience with distributed systems and heavy data processing.
- Knowledge of reinforcement learning or advanced ML research.
Our Interview Process (Direct & Transparent)
You will work directly with your future interviewer throughout both stages of our streamlined technical process:
- The Technical Screen & Challenge: We review your profile against this blueprint. If it is a match, you will get a real-world problem statement to design an optimized architecture for a specific use case.
- The Architecture Presentation: You will present your architectural solution directly to the interviewer, showcasing your design choices, trade-offs, and engineering logic.
Click on Apply to know more.