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Backend Developer - Python/Generative AI

Technology
Laksh Consultants
2 months ago
Full time

Job description

Education Requirement :

Must have a full-time B.E./B.Tech degree, with a minimum of 60% throughout (10th, 12th and B.E./B.Tech). Only B.E./B.Tech is considered.

Position : Backend Developer (Python, GenAI)

Overall/Total Experience : 3-6 years only

Location : Remote Working

Working Days : 5 Days

Notice Period Requirement : 30 Days (Maximum)

Client's Company Size : Startup/Small Enterprise

Role &

Responsibilities :

  • Design, develop, and maintain scalable RESTful APIs using Django, Flask, or FastAPI.
  • Build and deploy modern web applications that are performant, modular, and secure.
  • Implement API authentication and authorization using OAuth2, JWT, or session-based approaches.
  • Work with frontend teams to integrate APIs and ensure smooth end-to-end flows.
  • Follow CI/CD and Git-based deployment workflows using tools like GitHub/GitLab, Jenkins, or Docker.
  • Build intelligent applications using LangGraph and LangChain for orchestrating LLM workflows.
  • Integrate OpenAI, Anthropic, HuggingFace, or custom LLMs into production workflows.
  • Design and optimize RAG (Retrieval Augmented Generation) pipelines using vector databases such as Pinecone, PGVector etc.
  • Work with relational databases like PostgreSQL and MySQL.
  • Write efficient and scalable queries for large-scale datasets.
  • Experience with AWS/GCP/Azure is a plus.

Candidate Requirements :

  • Strong Python Backend Engineer Profile with hands-on GenAI capabilities.
  • Must have 3+ years of experience in application development using Python (Django) with atleast 6 months of hands on experience building GenAI applications in production.
  • Must have strong proficiency in Python with a backend framework (Django, Flask or FastAPI) and developing/consuming RESTful APIs.
  • Must have hands-on experience integrating LLMs (OpenAI GPT-4, Claude, Llama or similar) into production and orchestrating LLM workflows (LangGraph, LangChain).
  • Must have experience building RAG pipelines using vector databases such as Pinecone or PGVector.
  • Must have experience with relational databases (PostgreSQL, MySQL) and writing efficient, scalable queries.
  • Must have a good understanding of software design principles, code modularity and version control (Git).
  • Must have a full-time B.E./B.Tech degree, with a minimum of 60% throughout (10th, 12th and B.E./B.Tech). Only B.E./B.Tech is considered.
  • Must have good communication skills in both English and Hindi.
Keywords
GitLabOrchestrationDjangoMysqlOauthPostgresqlPythonJWtRelational grammarCI/CD

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