Tipstat Infotech Pvt Ltd
https://tipstat.comFounded :
2012
Type :
Products & Services
Size :
20-100
Stage :
Profitable
About
With 100+ applications delivered, Tipstat is specialized in web/mobile application development customized as per your requirements.
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Company social profiles
Jobs at Tipstat Infotech Pvt Ltd
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Remote, Bengaluru (Bangalore)
3 - 6 yrs
₹8L - ₹15L / yr
Python
Django
FlaskFastAPI
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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