Lead Software Engineer

End Date
Wednesday 23 September 2026

We Support Flexible Working – Click here for more information on flexible working options

Flexible Working Options
Hybrid Working

Job Description Summary
1. 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, 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

- 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