Full Stack Engineer

Job description

We are looking for a Full-stack Developer who will embark on an exciting journey with us to grow our AI-powered CX automation business, supporting our US enterprise customers. This role demands building modular, testable, and reusable full-stack modules across the front end and back end; contributing across all phases of the feature release cycle; and bringing ideas on using the latest agentic AI and LLM technologies. **Responsibilities** - Build and ship scalable, low-latency, cost-efficient full-stack solutions from front-end experiences to back-end services for our US-based enterprise customers. - Design and deliver LLM-powered and agentic AI capabilities end to end: prompt orchestration, tool/function calling, retrieval (RAG / Agentic RAG), and multi-agent workflows that run reliably at scale. - Partner closely with US customer-facing teams (Customer Success, Solutions, and Support), maintaining overlap with US business hours to unblock, troubleshoot, and deliver against customer commitments. - Drive solutions and implementation leveraging modern web frameworks and open-source distributed systems to deliver complete, production-grade product features. - Build innovative solutions from scratch and liaise with engineers across teams to build shared capabilities and drive adoption. **Requirements** - Minimum 1+ year of experience building software products (title/level calibrated to depth of experience). - Design and architect full-stack technical solutions for large-scale business problems. - Hands-on experience with a modern front-end framework, React (TypeScript preferred). - Hands-on experience in one or more back-end programming languages: Node.js / Golang / Java / Python. - Hands-on experience building with LLMs (e. g., OpenAI, Anthropic, Google, or open-weight models); prompt engineering; function/tool calling; and streaming responses. - Working knowledge of agentic AI concepts (tool use, orchestration, memory/context) and/or RAG with vector databases (e. g., pgvector, Pinecone, Weaviate, and Milvus). - Good experience working with databases like MongoDB / Elasticsearch / MySQL. - Extensive experience with Agile methodologies. - Familiarity with modern CI/CD tools. - Knowledge of AWS or any other cloud platform services. - Good understanding of ML & NLP. - Write maintainable / scalable / efficient code. - Work in a cross-functional team, collaborating with peers during the entire SDLC. - Follow coding standards, unit-testing, code reviews, etc. - Follow release cycles and commitment to deadlines. - Expertise in data structures and algorithms. - Strong analytical skills, a bit of team management, and system design. This job was posted by Praful Kulkarni from yellow.ai (Formerly Yellow Messenger).