
Backend Specialist
1 week ago
Our company is seeking an expert Backend Engineer to join our team in developing intelligent, secure, cloud-native applications. The ideal candidate will have strong backend development experience using Python and expertise in building Agentic AI systems, LLM integrations, and context-aware RAG pipelines.
About the Role- Develop strong backend development experience using Python (NLTK, Spacy, FastAPI, Tensorflow, Keras, Pytorch, FastMCP, Pandas).
- Design and implement REST API development, backend microservices, and production-ready codebases.
- Work with SQL and understand data modeling across both SQL (e.g., PostgreSQL) and NoSQL systems.
- Write unit tests, debug, document, and collaborate through code reviews.
- Use Docker, Kubernetes, and CI/CD pipelines.
- Apply software patterns for high-performance, scalable AI services.
- Experience with LLM ecosystems and frameworks like Langchain, LangGraph, CrewAI, Agnos, AutoGPT, or Semantic Kernel.
- Build Retrieval-Augmented Generation (RAG) pipelines with Vector stores (e.g., Chroma, Qdrant, Pinecone), Embedding models, chunking, and token window optimization.
- Familiarity with Model Context Protocol (MCP) or other advanced context injection strategies.
- Integrate with OpenAI, Anthropic, Ollama, Hugging Face, etc.
- Write or use custom tools, memory components, or agent planners.
- Design multi-agent architectures or orchestrated workflows.
- Work with prompt engineering, tool calling, and external APIs.
- Hands-on experience with federated query tools like Trino or Athena.
- Familiarity with cloud-native deployments (GCP/GKE, AWS/EKS).
- Experience building data connectors (SQL/GraphQL APIs for RAG).
- Background in privacy-aware computing, data security, or compliance-driven design.
- Any experience with Golang for microservices or infra tooling is a plus.
- Strong curiosity and an experimental mindset to explore fast-evolving AI tech.
- Ability to prototype quickly but build robustly for production.
- Startup mentality – autonomy, ownership, and deep collaboration with the team.
- Desire to work on meaningful AI-powered solutions, not just LLM wrappers.
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