Senior Software Engineer

Role & responsibilities

Title: Senior Software Engineer

Location: Remote

Experience Required: 56 Years

Position Type: Full-Time

Openings: 1

Job Overview:

We are seeking a Senior Software Engineer with 5–6 years of hands-on experience in full-stack development. This is a remote position, offering the opportunity to work on cutting-edge projects involving Node.js, React.js, SQL, GraphQL, AWS Serverless, and Graph Databases. The ideal candidate will also have exposure to Large Language Model (LLM) integrations and OCR techniques, contributing to smart, AI-driven applications.

Key Responsibilities:

Architect and develop scalable, cloud-native backend services using Node.js and AWS Serverless infrastructure (Lambda, API Gateway, DynamoDB, S3, etc.).

Build responsive and high-performance frontend applications using React.js.

Design and implement flexible, secure GraphQL APIs.

Manage and querye Models (LLMs) such as OpenAI/GPT for smart automation, chatbots, or semantic search features.

Implement OCR solutions using tools such as Tesseract, AWS Textract, or similar for document data extraction.

Contribute to DevOps workflows, including CI/CD pipelines and infrastructure automation using Terraform or CloudFormation.

Participate in code reviews, knowledge sharing, and mentoring of junior team members.

Required Skills:

Strong proficiency in Node.js and React.js

Experience in SQL database development and optimization

Working knowledge of GraphQL and API security best practices

Hands-on experience with AWS Serverless architecture

Practical knowledge of Neo4j or other Graph Databases

Experience in integrating LLM APIs (e.g., OpenAI, Anthropic, LangChain)

Understanding of OCR tools like Tesseract, AWS Textract, or Google Vision API

Familiarity with modern software development practices including CI/CD, Git, agile methodologies

Nice to Have:

Experience with Terraform or AWS CloudFormation

Familiarity with TypeScript, NoSQL, and microservices architecture

Understanding of containerization using Docker, ECS, or EKS

Prior experience with AI/ML workflows or prompt engineering