Incresco
Website:
increscotech.com
Job details:
Job Title: Tech Lead
Experience: 5+ years
Location: Coimbatore
Why This Role ExistsWe’re looking for a Lead Full Stack Engineer who’s equally fluent in modern web development and the emerging AI/ML ecosystem. This role exists to own architecture, performance, and innovation across the stack — from React and Next.js to AWS, AI pipelines, and scalable backend infrastructure.
You will lead a high-performing engineering team, set technical direction, and bring cutting-edge technologies (AI agents, vector databases, LLM integrations, and ML-powered features) into production-grade applications.
What You’ll Actually Do- Define and drive the end-to-end technical vision across web, mobile, and AI systems
- Make architectural decisions balancing speed, scalability, and innovation
- Evaluate and integrate AI-driven frameworks, vector databases, and real-time inference APIs
- Lead development of web and mobile applications using React, Next.js, Astro, React Native, and Node.js
- Build intelligent features using LangChain, OpenAI/Gemini APIs, Hugging Face models, or custom ML pipelines
- Collaborate with AI/ML engineers to integrate model outputs into user-facing applications
- Architect and deploy scalable systems using AWS (Lambda, EC2, ECS, S3, API Gateway, EventBridge)
- Implement CI/CD pipelines, Infrastructure as Code (Terraform/CDK), and observability best practices
- Optimize infrastructure for cost, latency, and high availability
- Design and manage REST and GraphQL APIs, integrating with AI inference services
- Manage hybrid data architectures including PostgreSQL, MongoDB, DynamoDB, and vector databases (Pinecone, Weaviate)
- Build event-driven and data-streaming systems (Kafka, EventBridge)
- Collaborate with Product, Design, and AI teams to translate ideas into production solutions
- Mentor engineers on modern frameworks, clean code practices, and AI tool adoption
- Stay updated on AI trends including agents, multimodal systems, RAG, and autonomous workflows
- Prototype and productionize AI-driven features for internal and customer-facing products
- Drive developer productivity, system maintainability, and security
Requirements (Core)- 5+ years of full-stack development experience with at least 2+ years in technical leadership or architecture roles
- Strong expertise in React, Node.js, Next.js, and React Native
- Deep experience with AWS cloud services, CI/CD pipelines, and modern DevOps practices
- Strong understanding of SQL and NoSQL databases (PostgreSQL, DynamoDB, MongoDB) and distributed systems
- Familiarity with LLMs, LangChain, vector databases, AI APIs, and ML-powered workflows
- Strong problem-solving, system design, and leadership capabilities
- Excellent communication skills to align technical and business stakeholders
- Experience working in agile, fast-paced environments
Good to Have- Experience with TypeScript, GraphQL, Tailwind CSS, and Storyblok or similar headless CMS
- Knowledge of Docker, Kubernetes, serverless frameworks, and observability tools
- Exposure to AI orchestration frameworks such as CrewAI, LangGraph, and Dust
- Familiarity with testing frameworks, performance tuning, and MLOps pipelines
- Hands-on experience with AI-driven analytics dashboards or automated code assistants
What Strong Candidates Do Well- Drive technical vision and make impactful architectural decisions
- Build scalable, high-performance full-stack and AI-powered systems
- Lead and mentor teams effectively while fostering innovation
- Solve complex system design and performance challenges
- Stay ahead of emerging trends in AI/ML and apply them practically
- Balance speed, quality, and scalability in a fast-paced environment
What You’ll Get- Opportunity to lead cutting-edge full stack and AI-driven product development
- Exposure to modern technologies across web, mobile, cloud, and AI ecosystems
- Ownership of architecture, technical direction, and innovation
- A high-performance environment focused on speed, experimentation, and excellence
Who This Role May Not Be the Best Fit For- Candidates with less than 4 years of full stack experience or without leadership exposure
- Those not comfortable working across both engineering and AI/ML domains
- Those who prefer purely execution-focused roles without ownership of architecture
- Those not interested in fast-paced, high-ownership environments
Click on Apply to know more.