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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)

- 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 Engineering Processing (Tech Data Arch)
- Data pipelines (ETL/ELT)
- Batch and streaming data processing
- Handling large document datasets
- SQL, BigQuery / data platforms
- Data transformation and enrichment

Software Engineering Excellence (Core Expectation)
- Strong programming skills (Python/Java)
- Writing clean, effective, maintainable code
- Use of design patterns (API design, modularisation)




- Code reviews and engineering best practices
- Unit + integration testing

Cloud Platform Engineering
- Cloud platforms (GCP preferred):
- BigQuery, Vertex AI, storage, compute

- Containerisation (Docker)
- Kubernetes basics
- API-based services

DevOps CI/CD
- CI/CD pipelines (Jenkins, GitHub Actions, etc.)
- Source control (Git)
- Automated builds and deployments
- Environment management

Reliability, Performance Observability (Important)
- Logging and monitoring basics
- Performance tuning (latency of AI APIs, pipelines)
- Understanding system failures and debugging
- Awareness of scalability constraints

System Solution Design (Team-Level)
- Design small-to-medium systems
- API-first design thinking
- Integration of AI + data + services
- Understanding trade-offs (performance vs cost vs complexity)

Collaboration Delivery
- Work with:
- Product owners
- Data scientists
- Platform teams

- Agile practices (stories, sprints, backlog)
- Communicate technical solutions clearly

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Lead Software Engineer (Hyderabad)
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