Full Stack AI Engineer

What You'll Do : - Build and deploy AI-powered applications end-to-end using modern AI stacks, including integrating Large Language Models (LLMs) into real-world applications. - Fine-tune and deploy Large Language Models (LLMs) for a range of real-world use cases, ensuring scalability, accuracy, and efficiency. - Work with multi-AI agents and design multi-step reasoning pipelines to solve complex problems and deliver high-quality AI solutions. - Build intelligent workflows using frameworks such as LangChain, LangGraph, and similar libraries to create seamless AI-driven automation and processing pipelines. - Collaborate with data scientists, product managers, and engineers to define the scope, features, and design of AI applications and ensure smooth integration of AI models into backend systems and applications. - Monitor and optimize the performance of deployed AI models, ensuring that models are fine-tuned for inference efficiency and resource management. What We're Looking For : - Proven experience working with AI agents and developing LLM-based applications that integrate into real-world environments. - Experience with advanced frameworks like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG) pipelines. - Strong proficiency in Python, with experience in backend development and API frameworks (e.g, FastAPI, Flask, Node.js). - Expertise in LLM fine-tuning, deployment, and inference optimization, with a deep understanding of the challenges involved in deploying large-scale models. - Hands-on experience with LangChain, LangGraph, and similar tools for building intelligent workflows, managing data pipelines, and integrating with LLMs. - Familiarity with Transformers, Hugging Face, and other libraries used to fine-tune and deploy language models. - Strong understanding of deployment pipelines for AI models, including optimization techniques for fast inference and resource efficiency. - Experience working with cloud-based infrastructure (AWS, GCP, Azure) for deploying and scaling AI applications. - Strong problem-solving skills and the ability to develop scalable solutions for complex AI problems. - Ability to work effectively in a collaborative environment, communicating with both technical and non-technical stakeholders to build and deploy impactful solutions. - Experience with distributed computing and managing large datasets for model training and inference. - Knowledge of other AI tools or frameworks such as TensorFlow, PyTorch, OpenAI GPT, or BERT. - Understanding of Data Engineering concepts and experience building data pipelines for AI-driven applications. - Familiarity with DevOps practices for CI/CD pipelines in the context of AI model deployment. - Work on cutting-edge AI applications and frameworks, contributing to the development of intelligent systems that solve real-world problems. Join a team of passionate engineers and data scientists dedicated to pushing the boundaries of AI. We provide opportunities for professional development and continuous learning, with access to the latest AI technologies and industry trends. Competitive salary and benefits, including flexible work hours, healthcare, and additional perk (ref:hirist.tech)

Location: mumbai, IN

Posted Date: 5/1/2025