AI/ML Fullstack Engineer (GenAI, Python, React)

We are looking for a Forward Deployed AI / Solutions Engineer who can build and implement AI-powered solutions for real-world business use cases. The ideal candidate will combine strong software engineering skills with hands-on experience in GenAI, LLMs, prompt engineering, RAG, and full-stack development, along with the ability to work directly with customers and end users.Key ResponsibilitiesDesign, develop, and deploy AI-powered applications using LLMs such as GPT, Claude, Gemini, LLaMA, or equivalent models.Build AI features including assistants, chatbots, copilots, and workflow automation.Work directly with customers and end users to understand business requirements and translate them into scalable technical solutions.Develop backend services using Python, FastAPI, Flask, or Django and build REST APIs.Develop responsive frontend experiences using React.js, JavaScript, HTML, and CSS.Integrate AI models and APIs into business applications, workflows, and enterprise systems.Apply prompt engineering, RAG, and LLM orchestration to improve application quality and reliability.Work with frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or equivalent tools.Design databases and work with SQL while applying sound software architecture principles.Build and deploy scalable cloud-native solutions on AWS or GCP.Evaluate AI outputs and continuously refine prompts, workflows, and system behavior.Rapidly prototype, experiment, test, and deploy new AI use cases.Collaborate with product, engineering, and business teams to deliver customer-focused AI solutions.Ensure applications meet requirements for reliability, performance, security, and scalability.Mandatory Requirements2+ years of total software development experience, including at least 1 year of hands-on experience with AI / GenAI / LLM projects.Proven experience building and shipping LLM-powered features such as assistants, chatbots, copilots, or workflow automation.Hands-on experience with LLMs including OpenAI, Gemini, Claude, Llama, or equivalent models.Experience working directly with external clients or end users to gather requirements and deliver technical solutions.Strong proficiency in Python with experience in FastAPI, Flask, or Django.Strong experience with REST API development.Hands-on experience with React.js, JavaScript, HTML, and CSS, including frontend-backend integration.Strong hands-on knowledge of Prompt Engineering and RAG.Experience with LLM orchestration frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or equivalent.Strong understanding of SQL, database design, and software architecture fundamentals.Preferred QualificationsExperience in Solutions Engineering, Forward Deployed Engineering, Implementation Consulting, Technical Consulting, or Enterprise Software Integrations.Experience building and deploying AI solutions in enterprise environments.Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.Exposure to AWS or GCP cloud-native application development.