Company: Data Essential Employment Type: Full-Time Work Mode: Remote-FriendlyAbout the RoleDatassential is seeking an experienced AI Software Engineer to build and deliver AI-powered product features that directly impact customers. This is a hands-on engineering role focused on turning LLMs, AI agents, embeddings, and retrieval systems into scalable, production-ready applications.The ideal candidate will work across the full stack, developing backend services in Python/FastAPI and frontend components in React, while integrating advanced AI capabilities into customer-facing products.Key ResponsibilitiesDesign, develop, and deploy AI-powered product features end-to-end.Build and integrate LLM-based workflows including Prompt Engineering, RAG, Function Calling, and Agent Orchestration.Develop scalable backend services using Python and FastAPI.Create intuitive and responsive user interfaces using React.Integrate LLM APIs, vector databases, and enterprise data sources.Monitor and optimize AI solutions for quality, latency, scalability, and cost.Collaborate with Product, Design, and Data Science teams to deliver impactful AI experiences.Implement testing, observability, and performance monitoring best practices.Contribute to modern AI integration frameworks such as MCP and Agent-to-Agent (A2A) architectures.Required SkillsStrong experience with Python and FastAPI.Hands-on experience with React.js.Experience building production applications using LLMs, Generative AI, or AI/ML solutions.Strong understanding of RAG (Retrieval-Augmented Generation), Embeddings, and AI Agents.Experience with OpenAI, Anthropic, or similar LLM platforms.Knowledge of vector databases such as Pinecone, Weaviate, or pgvector.Experience with PostgreSQL and relational databases.Familiarity with cloud platforms (AWS, Azure, or GCP).Experience with Docker, Kubernetes, and CI/CD pipelines.Strong software engineering, testing, and debugging skills.Preferred SkillsLangGraph, CrewAI, or other Agent Frameworks.MCP (Model Context Protocol) and Agent-to-Agent (A2A) integrations.LLM Fine-tuning, Distillation, and Structured Outputs.Open-source AI/ML contributions.Experience in Food & Beverage, Restaurant Tech, or CPG domains.Ideal CandidateProven experience delivering customer-facing AI products in production environments.Strong full-stack development capabilities.Ability to balance model quality, performance, scalability, and cost.Comfortable working in a fast-paced, product-focused environment.Strong communication and stakeholder management skills.If you are passionate about building real-world AI applications and want to work on impactful AI-powered products used by leading global organizations, this opportunity is for you.Role: Full Stack Developer,Industry Type: IT Services & Consulting,Department: Engineering - Software & QA,Employment Type: Full Time, PermanentRole Category: Software DevelopmentEducationUG: Any GraduatePG: Any Postgraduate