We are searching for a talented AI Engineer with 3+ years of experience and deep expertise in the LangChain/LangGraph ecosystem. You will be responsible for designing, building, and deploying cutting-edge, stateful multi-agent architectures and robust Full Stack AI applications.
responsibilities :
Designing and implementing stateful, multi-agent architectures using LangGraph.
Developing robust data pipelines and chains using LangChain primitives.
Building Full Stack applications (Frontend & Backend) to interface with AI Agents.
Integrating LLMs with external tools, APIs, and databases.
Optimizing agent performance, managing context windows, and ensuring output quality (evals using LangSmith).
Automating deployments and managing cloud infrastructure for AI services.
requirements-expected :
Minimum 3+ years in Software Development (Full Stack).
Experience building production-grade applications with LLMs.
Hands-on experience with LangGraph or building custom agentic loops (with Langchain, DSPy, CrewAI or other).
Strong proficiency in Python OR TypeScript (Full Stack mindset required).
Deep understanding of LangChain ecosystem and LangGraph (nodes, edges, state management).
Experience with web frameworks (FastAPI/Django for Python or NestJS/Express for Node.js).
Proficiency in Frontend development (React, Next.js, or similar) to build chat interfaces and dashboards.
Knowledge of Vector Databases (e.g., Elasticsaerch, Pinecone, Milvus).
English at C1+ level
Ability to map complex business logic into AI workflows.
Problem-solving skills, specifically regarding LLM hallucinations and reliability.
Agility in adapting to the rapidly changing GenAI landscape.
