Gen AI Engineer at VDart Digital | Torre

Gen AI Engineer

You will shape the future of innovative solutions and drive significant impact.
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Full-time
Base compensation
INR300k - 2M/year
~USD3.15k - 21k/year

+ Health insurance

Negotiable
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Hybrid (Novel MSR Building, Marathahalli Village, Marathahalli, Bengaluru, Karnataka, India)
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Posted 6 months ago

Requirements and responsibilities


Key Responsibilities * Design, develop, and deploy Gen AI solutions using LLMs, RAG architectures, and Agentic AI frameworks. * Build APIs using FastAPI to serve AI/ML models in scalable environments. * Collaborate on building secure and robust MLOps pipelines using Azure DevOps and other cloud-native tools. * Fine-tune and optimize LLMs for domain-specific tasks and applications. * Integrate AI models into enterprise-grade applications and platforms. * Engage in rapid prototyping and proof-of-concept development with cutting-edge Gen AI tools. * Contribute to model evaluation, performance monitoring, and continuous improvement. * Document technical decisions, architectures, and workflows for knowledge sharing. * 5+ years of experience in AI/ML, with hands-on exposure to LLMs, RAG, and Agentic AI. * Strong programming skills in Python and experience building APIs with FastAPI. * Experience with Azure DevOps, MLOps, and cloud-based model deployment. * Familiarity with transformer architecture, prompt engineering, and fine-tuning techniques. * Ability to design scalable and maintainable AI pipelines. * Solid understanding of software engineering practices including version control, testing, and CI/CD. Why Join VDart Digital? * Be a pioneer in shaping our Gen AI practice from the ground up. * Work with cutting-edge technologies and world-class mentors. * Access to continuous learning, certifications, and R&D initiatives. * A culture that encourages experimentation, innovation, and collaboration. Nice to Have (Optional): * Experience with tools like LangChain, Llama Index, or vector databases (e.g., FAISS, Pinecone). * Exposure to containerization (Docker, Kubernetes). * Knowledge of ethical AI practices, privacy, and security in AI applications.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)
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