Artificial Intelligence Engineer

As an AI Engineer, you will utilize your expertise in Large Language Models (LLMs), LangChain, LangGraph, and Generative AI workflows to contribute to the development of innovative applications. Your responsibilities will involve developing, fine-tuning, and deploying LLM-based solutions for conversational AI, smart content generation, and personalization. You will collaborate with product and design teams to ensure the integration of AI-driven features that enhance user experiences. Additionally, you will design and implement workflows using LangChain, LangGraph, and Vector Databases such as Pinecone, Weaviate, and FAISS. Collaborating with front-end and mobile teams will be essential to ensure seamless AI feature integration. You will also focus on optimizing AI inference for scalability and cost-efficiency, including edge deployment strategies. Your role will include the development of modular and scalable API layers for AI model interaction, encompassing RESTful & GraphQL APIs. Researching and prototyping new AI capabilities to stay updated on trends in LLMs, Multimodal AI, and AI on mobile platforms will be an integral part of your responsibilities. ### Core Responsibilities: - Develop, fine-tune, and deploy LLM-based solutions for conversational AI, smart content generation, and personalization. - Design and implement workflows using LangChain, LangGraph, and Vector Databases (e.g., Pinecone, Weaviate, FAISS). - Collaborate with front-end/mobile teams to ensure smooth AI feature integration. - Optimize AI inference for scalability and cost-efficiency (including edge deployment strategies). - Develop modular and scalable API layers for AI model interaction (RESTful & GraphQL APIs). - Research and prototype new AI capabilities, keeping up with trends in LLMs, Multimodal AI, and AI on mobile platforms. ### Must-Have Skills: - 2+ years of experience in AI/ML development with a focus on LLM applications. - Proficiency in LangChain, LangGraph, and knowledge of RAG (Retrieval Augmented Generation) pipelines. - Experience with Prompt Engineering, chain-of-thought prompting, and API orchestration. - Hands-on experience with Generative AI models for image generation (Stable Diffusion, DALLE, MidJourney, or similar). - Strong Python programming skills with experience in API integrations. - Familiarity with cloud platforms (AWS, GCP, Azure) for deploying AI services. - Knowledge of AI/ML Ops practices including model serving, monitoring, and optimization. ### Benefits: - 5 Day working - On-time salary - Inter-tech work - Skill upgradation trainings - Soft skills trainings - Rewards and recognitions - Provident Fund ### Application Question(s): - Are you an immediate joiner ### Experience: - AI: 3 years (Required) ### Location: - Mohali, Punjab (Required) ### Work Location: - In person ### Job Types: - Full-time, Permanent,