
Expert Backend Developer for Cutting-Edge AI Projects
4 days ago
Job Description:
">We are seeking a skilled Backend Engineer with expertise in building Agentic AI systems, Large Language Model (LLM) integrations, and context-aware Retrieval-Augmented Generation (RAG) pipelines. This is a hands-on opportunity to help shape the next generation of intelligent, secure, cloud-native applications.
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- This role involves working on meaningful AI-powered solutions, not just LLM wrappers, with a strong focus on scalability, performance, and maintainability.">
- You will be responsible for developing REST API development, backend microservices, and production-ready codebases using Python libraries like NLTK, Spacy, FastAPI, Tensorflow, Keras, Pytorch, and Pandas.">
Requirements:
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- A minimum of 3–8 years of experience in backend development using Python, including libraries like NLTK, Spacy, FastAPI, Tensorflow, Keras, Pytorch, and Pandas.">
- 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.">
Specialization in GenAI, LLMs & Agentic Systems:
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- Prior 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.">
Bonus Skills:
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- 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.">
About Us:
">In this role, you will be part of an innovative team that is revolutionizing the field of Artificial Intelligence. We offer a dynamic work environment that fosters collaboration, creativity, and growth. If you are passionate about AI and want to make a real impact, we encourage you to apply. Our ideal candidate is a self-motivated individual with excellent problem-solving skills, a strong background in computer science, and a passion for innovation. Join us and contribute to shaping the future of AI
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