AI Backend Developer

We are seeking an experienced AI Backend Developer with over 5 years of experience in designing, implementing, and optimizing AI-driven backend systems. The ideal candidate will have deep expertise in LangChain, RAG pipeline implementation, and search technologies (OpenSearch/Elasticsearch), along with experience in chatbot/playground development. Knowledge of AI agents, tools, and RAG optimization is a plus

• Design and implement LangChain-based workflows for AI applications.
  
• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines.
  
• Integrate OpenSearch/Elasticsearch for semantic/hybrid search.
  
• Build and maintain chatbot/playground environments (e.g., Streamlit, Gradio, custom UIs).
  
• Fine-tune vector search, hybrid search, and relevance ranking.
  
• Optimize indexing/query performance for low-latency AI responses.
  
• Work with embeddings (OpenAI, Hugging Face, or custom models).
  
• Develop scalable APIs (FastAPI, Flask, or similar).
  
• Collaborate on frontend-backend integration (Ember.js or other JavaScript frameworks).
  
• Use build tools (Ant, Maven, Gradle) for deployment automation.
  
• Ensure CI/CD pipelines are efficient and reliable.
  
• Work in Agile/Scrum environments, participating in sprints, standups, and retrospectives.
  
• Collaborate with frontend engineers, data scientists, and product teams.

• 5+ years of backend development (Python preferred).
  
• Strong experience with LangChain for LLM orchestration.
  
• Hands-on experience with OpenSearch/Elasticsearch (indexing, querying, optimization).
  
• Proven track record in RAG pipeline implementation.
  
• Experience in developing chatbots or AI playgrounds (e.g., Gradio, Streamlit, custom UIs).
  
• Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, etc.).
  
• Knowledge of AI agents & tools (AutoGPT, BabyAGI, multi-agent systems).
  
• Experience in RAG optimization & evaluation (metrics like precision, answer relevance).
  
• Familiarity with vector databases (Pinecone, Weaviate, Milvus).
  
• Understanding of NLP techniques (text processing, embeddings, fine-tuning).
  
• Experience with both external and embedded databases
  
• Understanding fundamental design principles behind a scalable application
  
• Creating database schemas that represent and support business processes
  
• Implementing automated testing platforms and unit tests
  
• Proficient understanding of code versioning tools, such as Git
  
• Ability to clearly communicate with both technical and non-technical team members
  

Other Requirements:

• Experience with Agile Scrum
  
• Experience with Ember or other JavaScript