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