Senior Software Engineer

2 weeks ago

Bangalore Metropolitan Area, India Tipstat® Full time

Key Responsibilities


  • Design and implement scalable, maintainable, and efficient Python applications
  • Lead technical projects from conception to deployment
  • Collaborate with cross-functional teams to define and implement new features
  • Write clean, testable code with appropriate documentation
  • Conduct code reviews and provide constructive feedback to team members
  • Mentor junior developers and contribute to their professional growth
  • Participate in technical architecture discussions and decision-making
  • Troubleshoot and debug complex software issues
  • Contribute to continuous improvement of development practices and processes
  • Design and implement AI/ML solutions using LLMs and related technologies
  • Optimize and maintain AI model deployment pipelines

Required Qualifications


  • Bachelor's degree in Computer Science, Software Engineering, or related field
  • 5+ years of professional software development experience
  • Strong proficiency in Python and its ecosystem (Django/Flask, FastAPI)
  • Experience with SQL and NoSQL databases
  • Solid understanding of software design patterns and principles
  • Experience with version control systems (Git)
  • Strong knowledge of RESTful APIs and microservices architecture
  • Proficiency in writing unit tests and understanding of TDD practices
  • Experience with CI/CD pipelines and deployment automation
  • Strong problem-solving and analytical skills


AI/ML Technical Skills


  • Experience with LLM frameworks (LangChain, LlamaIndex)
  • Knowledge of working with large language models (GPT, Claude, etc.)
  • Understanding of prompt engineering and LLM fine-tuning concepts
  • Experience with vector databases (Pinecone, Weaviate, or similar)
  • Familiarity with AI model deployment and serving (BentoML, Ray Serve)
  • Experience with machine learning libraries (PyTorch, TensorFlow, or similar)
  • Knowledge of AI/ML observability and monitoring tools
  • Understanding of AI safety practices and responsible AI development
  • Experience with embedding models and semantic search implementations
  • Familiarity with AI application development patterns and best practices


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