Job description
Important Information
Experience: +6 years
Job Mode: Full-time
Work Mode: Work from home
Job Summary
We are seeking a highly skilled Senior Full-Stack Developer with deep expertise in JavaScript, TypeScript, Node.js, React, and modern API development. This role also requires strong hands-on experience building AI-driven and LLM-powered applications, including RAG workflows, agentic systems, and vector search integrations.
This is a high-impact position where you will design, develop, and deploy advanced full-stack features and intelligent systems that power next-generation user experiences.
Responsibilities and Duties
Design, build, and maintain high-performance full-stack applications using Node.js, React, and TypeScript.
Architect and implement LLM-powered and agentic applications, from prototyping to production deployment.
Develop scalable RESTful and GraphQL APIs, integrating third-party services and internal data sources.
Implement RAG pipelines, including embedding generation, context retrieval, prompt engineering, and tool execution.
Integrate vector databases (e.g., pgvector, Pinecone, Weaviate, Qdrant) to support semantic search and knowledge retrieval.
Work with cloud-based AI platforms such as AWS Bedrock or Azure OpenAI for model orchestration and inference.
Collaborate with product, design, and data teams to ship well-architected solutions at speed.
Ensure software quality through testing, performance tuning, and best-in-class development practices.
Mentor junior developers and participate in code reviews to maintain technical excellence.
Qualifications and Skills
6+ years of professional experience as a Full-Stack Developer.
Strong proficiency in JavaScript and TypeScript.
Expert-level experience with Node.js (backend) and React.js (frontend).
Solid understanding of modern API development standards.
Hands-on experience designing and shipping LLM-powered or agentic applications in production.
Proficiency with at least one agent/orchestration framework, such as:
- LangChain, LlamaIndex, Semantic Kernel, AutoGen, or OpenAI Assistants.
Deep practical experience implementing RAG architectures, including:
Embeddings
Prompt design
Context management
Tool calling
Experience working with vector databases (pgvector, Pinecone, Weaviate, Qdrant).
Experience integrating with cloud AI platforms such as AWS Bedrock or Azure OpenAI.
Highly Desirable
Experience with Strands (AI/ML or orchestration context).
Experience with Pydantic (Python data validation and modeling).
Nice to Have
Experience with containerization and cloud infrastructure (Docker, Kubernetes, AWS, GCP, Azure).
Familiarity with CI/CD pipelines and modern DevOps practices.
Background in distributed systems, data engineering, or machine learning concepts.
About Encora Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.
At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
