AI Engineer

About Walkwel Technology Walkwel Technology is looking for a talented and hands-on AI Engineer to join our technology team. The ideal candidate will have strong experience in Generative AI, Large Language Models (LLMs), RAG, LangChain, LangGraph, and AI-powered application development. You will be responsible for designing, developing, integrating, and optimizing AI-driven solutions while working closely with engineering and design teams to build scalable and innovative applications. Key Responsibilities • Design, develop, integrate, and deploy LLM-based applications for conversational AI, intelligent automation, content generation, personalization, and other AI-driven use cases. • Build and implement RAG (Retrieval-Augmented Generation) pipelines using frameworks such as LangChain and LangGraph. • Work with Vector Databases such as Pinecone, Weaviate, FAISS, or similar technologies. • Develop AI-powered workflows and agentic systems using modern LLM frameworks and tools. • Integrate AI models and services with existing web and mobile applications in collaboration with frontend and backend development teams. • Develop scalable and secure RESTful and GraphQL APIs for AI model and service integration. • Implement prompt engineering techniques to improve the accuracy, reliability, and performance of AI applications. • Work with Generative AI models for text, image, and multimodal content generation. • Evaluate and optimize AI models for performance, scalability, latency, and cost efficiency. • Deploy and manage AI services across cloud environments such as AWS, GCP, or Azure. • Implement best practices for AI/ML Operations, including model serving, monitoring, evaluation, logging, and optimization. • Research and evaluate emerging technologies in LLMs, Generative AI, Multimodal AI, AI Agents, and AI application development. • Build rapid prototypes and proof-of-concepts to evaluate new AI capabilities and business use cases. • Collaborate with cross-functional teams to translate business and product requirements into practical AI solutions. Required Skills & Experience • 3+ years of professional experience in AI/ML development, with hands-on experience building LLM-based applications. • Strong proficiency in Python and experience developing AI/ML applications and API integrations. • Hands-on experience with LangChain and LangGraph. • Strong understanding and practical experience with RAG pipelines and Vector Databases. • Experience with Prompt Engineering, prompt optimization, structured outputs, and LLM API orchestration. • Hands-on experience with Generative AI models, including image-generation platforms such as Stable Diffusion, DALL·E, Midjourney, or equivalent technologies. • Experience working with LLM APIs such as OpenAI, Anthropic, Gemini, or similar platforms. • Good understanding of REST APIs, JSON, API authentication, and backend integrations. • Familiarity with at least one major cloud platform: AWS, GCP, or Azure. • Understanding of AI/ML deployment, model serving, monitoring, evaluation, and optimization. • Familiarity with Git and modern software development practices. Good to Have • Experience developing AI Agents and multi-agent workflows. • Experience with multimodal AI involving text, image, audio, or video. • Experience with open-source LLMs such as Llama, Mistral, Qwen, or similar models. • Knowledge of model fine-tuning, embeddings, reranking, and model evaluation techniques. • Experience with Docker and containerized AI deployments. • Familiarity with CI/CD and MLOps tools and practices. • Experience integrating AI capabilities into MERN or other modern web application stacks. • Experience working with AI applications in production environments. What We Are Looking For We are looking for someone who is not only familiar with AI technologies but can build and deploy production-ready AI solutions. The ideal candidate should be comfortable experimenting with new AI technologies, understanding business requirements, and converting them into scalable and reliable applications.