Experience
10 - 15 yrs
Salary (CTC)
₹51.2L - ₹56.6L
Job Location
Hyderabad, India
Vacancy
1
Designation
Lead Software Engineer
Job Type
Not specified
Job Description
End Sunday
We Support Flexible Working - Click here for more information on flexible working options
Flexible Working Options
Hybrid Working
Job Description Summary Minimum 10 years of strong expertise in NLP, Document AI, and AI-driven data processing systems, solid software engineering skills with focus on clean, scalable, and production-grade solutions, hands-on experience with data pipelines and cloud-native platforms (GCP), ability to design and deliver end-to-end AI-enabled solutions within team scope.
Job Description Experience: 9- 15 years
Location: Hyderabad
Job Type: Full Time
AI, NLP Document AI (Primary Differentiator) Location: Hyderabad
Job Type: Full Time
- NLP fundamentals:
- Text extraction, classification, entity recognition
- Document AI:
- OCR, document parsing, structured/unstructured data extraction
- LLMs / GenAI:
- Prompt engineering
- Retrieval-Augmented Generation (RAG)
- Knowledge of document workflows:
- Input processing enrichment output
- Data pipelines (ETL/ELT)
- Batch and streaming data processing
- Handling large document datasets
- SQL, BigQuery / data platforms
- Data transformation and enrichment
- Strong programming skills (Python/Java)
- Writing clean, efficient, maintainable code
- Use of design patterns (API design, modularisation)
- Code reviews and engineering best practices
- Unit + integration testing
- Cloud platforms (GCP preferred):
- BigQuery, Vertex AI, storage, compute
- Containerisation (Docker)
- Kubernetes basics
- API-based services
- CI/CD pipelines (Jenkins, GitHub Actions, etc.)
- Source control (Git)
- Automated builds and deployments
- Environment management
- Logging and monitoring basics
- Performance tuning (latency of AI APIs, pipelines)
- Understanding system failures and debugging
- Awareness of scalability constraints
- Design small-to-medium systems
- API-first design thinking
- Integration of AI + data + services
- Understanding trade-offs (performance vs cost vs complexity)
- Work with:
- Product owners
- Data scientists
- Platform teams
- Agile practices (stories, sprints, backlog)
- Communicate technical solutions clearly
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