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Python Backend Developer - AI/Automation

  • Source: Indeed
  • Workfall India Pvt Ltd
  • On-site
  • State of Telangāna, India
  • Full-Time
  • Mid level

Job Description

Workfall is a new-age premium talent tech platform, looking for Python Backend Developer - AI/Automation to join our team. As a Python Backend Developer, you will be responsible for developing, enhancing, and supporting AI-enabled automation solutions. The role combines backend application development, workflow automation, and integration of AI/GenAI capabilities to improve business processes. You will work closely with stakeholders to build scalable Python-based solutions, support AI-driven workflows, and contribute to continuous model improvement through feedback and monitoring mechanisms.

  • Experience: 3 to 4 Years
  • Location: Hyderabad
  • Employment Type: Full-Time ,Hybrid
  • Time Zone: Selected candidate is required to work as per:
  • India Time (IST) / European Time (CET/GMT) / Americas Time Zone (EST)

Key Responsibilities:

  • Design, develop, and maintain Python-based applications and automation solutions
  • Build and support backend services, APIs, and workflow integrations
  • Develop and enhance AI-enabled business workflows and process automation solutions.
  • Collaborate with business and technical teams to understand requirements and implement solutions
  • Support AI model feedback loops, monitoring, and continuous improvement initiatives
  • Troubleshoot, optimize, and maintain existing automation applications
  • Ensure code quality, reliability, performance, and maintainability through best development practices
  • Participate in solution design, testing, deployment, and production support activities
  • Contribute to documentation, reusable components, and technical standards

Required Skills & Qualifications:

  • Bachelor’s or master’s degree in computer science, Engineering, (BE / ME – Computer Science, Computer Science or IT , MCA).
  • 3–4 years of experience in software development, automation, or backend application development
  • Strong hands-on experience in production-grade Python application development
  • Experience with at least one Python rest framework: FastAPI, Flask, or Django
  • Solid understanding of RESTful API design, integrations, and workflow-based application development
  • Familiarity with LLMs, AI APIs (OpenAI, Azure OpenAI, Anthropic), and prompt engineering techniques
  • Experience with databases: SQL (PostgreSQL, MySQL) and/or NoSQL (MongoDB, Redis)
  • Proficiency in version control (Git), debugging, testing (unit/integration), and code review practices
  • Ability to support AI-enabled workflow development and ongoing model feedback loops
  • Knowledge of software engineering best practices, debugging and testing.
  • Strong analytical, problem-solving, and troubleshooting skills
  • Ability to work independently and collaborate effectively within cross-functional teams

Nice to Have:

  • Exposure to GenAI or Agentic AI solutions (e.g., LangChain, LangGraph, LlamaIndex, CrewAI)
  • Familiarity with LLMs, prompt engineering, or AI APIs
  • Exposure to cloud platforms (Azure, AWS, or GCP)
  • Basic understanding of CI/CD and DevOps practices
  • Experience with Docker or containerized deployments

Pay: ₹1,300,000.00 - ₹1,600,000.00 per year

Application Question(s):

  • What is your current CTC
  • What is your Expected CTC
  • Do you have 3–4 years of hands‑on experience in Python backend development (production‑grade applications)?
  • Have you worked with at least one Python REST framework (FastAPI, Flask, or Django) to build APIs?
  • Do you have experience integrating AI/LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) into backend workflows?
  • The work location is Hyderabad. Are you currently living there or willing to relocate?

Work Location: In person

Skills

  • Python
  • FastAPI
  • Flask
  • Django
  • microsoft-azure
  • PostgreSQL
  • mysql
  • MongoDB
  • Redis
  • LangChain
  • LangGraph
  • LlamaIndex
  • crewai
  • amazon-web-services
  • google-cloud-platform
  • Docker
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