
Backend Developer
2 weeks ago
**About the Role:**
We are seeking a skilled Backend Engineer to join our team and help shape the next generation of intelligent, secure, cloud-native applications.
This is a hands-on opportunity to contribute to the development of Agentic AI systems, LLM integrations, and context-aware Retrieval-Augmented Generation (RAG) pipelines.
Required Skills and Qualifications:- 3–8 years of strong backend development experience using Python.
- Deep experience in REST API development, backend microservices, and production ready codebases.
- Experience working with SQL and understanding data modeling across both SQL (e.g., PostgreSQL) and NoSQL systems.
- Proficient in writing unit tests, debugging, documenting, and collaborating through code reviews.
- Comfortable with Docker, Kubernetes, and CI/CD pipelines.
- Familiarity with software patterns for high-performance, scalable AI services.
- Practical experience with LLM ecosystems and frameworks like Langchain, LangGraph, CrewAI, Agnos, AutoGPT, or Semantic Kernel.
- Experience building 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.
- Integrating with OpenAI, Anthropic, Ollama, Hugging Face, etc.
- Writing or using custom tools, memory components, or agent planners.
- Designing multi-agent architectures or orchestrated workflows.
- Working 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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