Lead Software Engineer
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Key skills for this role
Role Overview
• Experience: 9- 15 years Location: Hyderabad Job Type: Full Time
Key Skills for This Role
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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
Text extraction, classification, entity recognition
Document AI: OCR, document parsing, structured/unstructured data extraction
OCR, document parsing, structured/unstructured data extraction
LLMs / GenAI: Prompt engineering Retrieval-Augmented Generation (RAG)
Prompt engineering
Retrieval-Augmented Generation (RAG)
Knowledge of document workflows: Input → processing → enrichment → output
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, efficient, 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
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
Product owners
Data scientists
Platform teams
Agile practices (stories, sprints, backlog)
Communicate technical solutions clearly
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