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Backend Developer (Python, GenAI )

UP, INOn-siteIndividual contributorFound Jul 11
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Role & Responsibilities

Key Responsibilities

Web Development:

  • 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.

GenAI Application Development:

  • 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

Database and Backend Integration:

  • 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.

Ideal Candidate

  • Strong Python Backend Engineer Profile with hands-on GenAI capabilities
  • Mandatory (Experience 1) – 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
  • Mandatory (Tech skill 1) – Must have strong proficiency in Python with a backend framework (Django, Flask or FastAPI) and developing/consuming RESTful APIs.
  • Mandatory (Tech skill 2) – Must have hands-on experience integrating LLMs (OpenAI GPT-4, Claude, Llama or similar) into production and orchestrating LLM workflows (LangGraph, LangChain)
  • Mandatory (Tech skill 3) – Must have experience building RAG pipelines using vector databases such as Pinecone or PGVector.
  • Mandatory (Tech skill 4) – Must have experience with relational databases (PostgreSQL, MySQL) and writing efficient, scalable queries.
  • Mandatory (Tech skill 5) – Must have a good understanding of software design principles, code modularity and version control (Git).
  • Mandatory (Education) – 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; however, the 60% benchmark can be relaxed for candidates with strong technical skills (Kindly mention in resume)
  • Mandatory (Communication) – Must have good communication skills in both English and Hindi.
  • Mandatory (Company): IT services/IT consulting
  • Mandatory (Stability)) – Must have a stable career history, with a consistent tenure across previous companies; frequent job-hopping will not be considered.
  • Preferred (Cloud) – Experience with AWS, GCP or Azure.
  • Preferred (DevOps) – Familiarity with CI/CD and Git-based deployment workflows (GitHub/GitLab, Jenkins, Docker).
  • Preferred (API Security) – Familiarity with implementing API authentication and authorization mechanisms such as OAuth2, JWT, or session-based approaches.

Pay: ₹337,749.91 - ₹2,000,000.00 per year

Application Question(s):

  • How many years of hands-on experience do you have in Python?
  • What GenAI frameworks have you worked with (LangGraph, LangChain, LLMs) and since when?
  • What percentage did you score in 10th, 12th, and B.E./B.Tech? (Minimum 60% required throughout.)
  • If not in Delhi NCR are you open to relocating, given this is a 2-day hybrid role from the Noida office?
  • Are you comfortable with a hybrid role, working 2 days a week (Mondays & Thursdays) from the Noida office?
  • Are you available to join immediately or within 30 days?
  • If you are serving notice, when is your last working day?
  • Do you have any offer in hand? If yes, please share details
  • What is your current CTC in LPA?
  • What is your expected CTC in LPA? (20)
  • what is your notice period in days? (30)

Experience:

  • overall: 3 years (Required)

Work Location: In person

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optimhireBackend Developer (Python, GenAI )
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