Evigway Technologies
Lead Software Engineer
Skills
24 days ago
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Important information
Contract type:
Permanent
Salary:
₹900,000 – ₹1,400,000 / year
Location:
Hyderabad, Telangana, India
Work mode:
Onsite
Published on:
28 September 2026
What they need
We are looking for a Lead Engineer with 3-6 years of hands-on experience building and shipping production backend and AI systems.
Responsibilities
- Design, build and maintain backend services in Node.js with TypeScript
- Build data processing and automation components in Python
- Design and document REST APIs, including versioning, authentication and error handling
- Write and maintain unit and integration tests
- Work with relational databases: schema design, query optimisation, migrations
- Participate in code reviews, technical design discussions and release planning
- Debug and resolve issues in production environments
- Design and develop AI algorithms for natural language processing, including text classification, sentiment analysis, and entity recognition.
- Conduct research on neural networks and deep learning techniques to improve pattern recognition capabilities.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems.
- Develop expertise in TensorFlow framework for building scalable machine learning models.
- Stay up-to-date with industry trends and advancements in artificial intelligence.
Required skills
- 3-6 years of experience in AI research or development using Python programming language.
- Strong understanding of AI algorithms, particularly in natural language processing (NLP) domain.
- Proficiency in developing complex neural network architectures using TensorFlow or similar frameworks.
- Strong command of TypeScript and Node.js in a production setting
- Working proficiency in Python
- Solid understanding of asynchronous programming, event loops and concurrency
- Experience with PostgreSQL or a comparable relational database
- Proficiency with Git and standard branching workflows
- Understanding of software design principles, data structures and algorithms
Good to have
- NestJS or Express.js, FastAPI or Django
- Docker and container-based deployment
- CI/CD pipelines
- Message queues (RabbitMQ, Kafka) and caching (Redis)
- Experience working in an on-premise or air-gapped deployment environment
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