Engineering Leader

Location : India - remote

Job Type : Full Stack + AI

Experience Level : Senior

About Digy4 At Digy4, we are dedicated to pushing the boundaries of digital transformation by creating scalable, high-performance AI-powered SaaS solutions that empower businesses. Our team thrives on collaboration, innovation, and a shared commitment to delivering enterprise-grade software products that solve complex business challenges. We are seeking an experienced

Engineering Leader with hands-on experience + AI expertise to lead the design and development of intelligent, cloud-native applications. The ideal candidate combines strong full-stack engineering skills with practical experience in Generative AI, Large Language Models (LLMs), and modern cloud architectures.

Key Responsibilities Full Stack Development & Architecture

• Design, architect, and develop scalable, secure, and high-performance cloud-native applications.
• Lead the development of robust APIs, microservices, and distributed systems using

Node.js and

Java .

• Build and maintain modern front-end applications using frameworks such as

React .

• Design and implement event-driven and serverless architectures using AWS services.
• Drive technical decisions related to scalability, maintainability, performance, and security.

AI & Generative AI Solutions

• Design and implement AI-powered features using Large Language Models (LLMs) and Generative AI technologies.
• Develop and integrate AI services including chatbots, intelligent assistants, document processing, semantic search, and recommendation systems.
• Build Retrieval-Augmented Generation (RAG) solutions using vector databases and knowledge retrieval frameworks.
• Develop prompt engineering strategies and AI orchestration workflows to improve model performance and reliability.
• Evaluate, integrate, and optimize AI models from providers such as OpenAI, Anthropic, AWS Bedrock, Google Gemini, or open-source models.
• Establish best practices for AI governance, security, observability, and responsible AI implementation.

Cloud & DevOps

• Design and implement solutions using AWS services including:
• Lambda
• API Gateway
• DynamoDB
• S3
• CloudWatch
• ECS/EKS
• EventBridge
• Step Functions
• Collaborate with DevOps teams to implement CI/CD pipelines and infrastructure automation.
• Monitor system health, troubleshoot production issues, and optimize cloud costs.

Technical Leadership

• Mentor and guide junior and mid-level developers.
• Participate in architecture reviews, code reviews, and technical design discussions.
• Collaborate closely with Product Managers, UX teams, and business stakeholders to translate requirements into scalable technical solutions.
• Drive engineering best practices, coding standards, and continuous improvement initiatives.

Quality & Security

• Ensure code quality through automated testing, code reviews, and continuous integration.
• Develop comprehensive unit, integration, and end-to-end tests.
• Implement secure coding practices and ensure compliance with security and data protection standards.
• Identify and resolve performance bottlenecks and architectural challenges.

Required Skills & Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
• 7+ years of experience in full-stack software development.
• Strong proficiency in

Node.js and

Java for backend development.

• Strong experience with modern frontend frameworks such as

React , Angular, or Vue.js.

• Extensive experience building and consuming RESTful APIs and microservices.
• Hands-on experience with AWS cloud services including Lambda, API Gateway, DynamoDB, S3, and CloudWatch.
• Experience designing and implementing scalable SaaS platforms.
• Strong understanding of software architecture patterns, distributed systems, and cloud-native development.
• Proficiency with Git, CI/CD pipelines, and modern development workflows.
• Strong problem-solving, debugging, and analytical skills.

AI-Specific Requirements

• Practical experience building and deploying AI-powered applications.
• Hands-on experience with Large Language Models (LLMs) and Generative AI platforms.
• Experience integrating AI APIs such as OpenAI, Anthropic Claude, AWS Bedrock, Gemini, or similar technologies.
• Understanding of:
• Retrieval-Augmented Generation (RAG)
• Vector databases
• Embeddings
• Prompt engineering
• AI agent frameworks
• AI evaluation and monitoring
• Experience implementing AI solutions in production environments.

Preferred Qualifications

• Experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar AI orchestration frameworks.
• Experience with vector databases such as Pinecone, Weaviate, Chroma, OpenSearch, or PostgreSQL pgvector.
• Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
• Experience with Infrastructure as Code (Terraform, CloudFormation, CDK).
• Familiarity with MLOps concepts and AI model lifecycle management.
• Experience leading engineering teams and technical initiatives.

What We Offer

• Opportunity to build cutting-edge AI-powered SaaS products.
• Collaborative and innovation-driven engineering culture.
• Exposure to modern cloud, AI, and enterprise-scale technologies.
• Professional growth, leadership opportunities, and continuous learning.
• Flexible work environment and competitive compensation package.

Join Digy4 and help shape the future of intelligent software solutions. Contact Us: contactus@digy4.com