Job Description
Build and ship features across a fast\-moving telecom product, from the browser down to the cloud infrastructure that runs it. As a Fullstack \+ AI Engineer at Talentica, you’ll work with our client Circles.Life, building React.js/Next.js interfaces and Node.js/Go microservices, solving engineering challenges such as integrating GenAI/LLM capabilities safely into a live production product.
### **What You'll Own**
* Build and maintain React.js/Next.js frontends, including handling mobile webview quirks like cookie propagation and in\-app browser caching.
* Design and build Node.js and Go microservices behind RESTful APIs, using clean middleware patterns.
* Own the AWS infrastructure behind these services — API Gateway, Lambda authorizers, S3 lifecycle and encryption policies, and CloudWatch monitoring.
* Implement and maintain identity and security controls — IAM, JWT, RBAC, OAuth2/cookie\-based sessions, and API rate limiting.
* Integrate GenAI/LLM APIs into the product, including prompt handling, safety and moderation filters, and error recovery.
* Use Redis and relational/NoSQL data stores to keep these services fast and reliable.
### **What We Need**
* 3–5 years of relevant engineering experience.
* Strong proficiency in TypeScript and JavaScript; working proficiency or strong interest in Go (Golang) for backend microservices.
* Frontend: React.js, Next.js, or modern SPA/micro\-frontend architectures (Webpack).
* Deep understanding of DOM lifecycle, state management, and mobile webview quirks (cookie propagation, in\-app browser caching, version checking).
* Backend: Node.js/Express, Go (Golang); RESTful API design, middleware patterns, microservice architecture.
* Cloud \& infrastructure: AWS core services — API Gateway, AWS Lambda (Authorizers), S3 (lifecycle policies \& encryption), CloudWatch.
* Caching \& data stores: Redis, relational/NoSQL databases.
* Security \& identity: IAM, JWT, RBAC, OAuth2/cookie\-based session handling, and API rate limiting.
* AI/LLM integration: practical experience consuming GenAI/LLM APIs, prompt handling, safety filters/moderation APIs, and error recovery.
### **Why It's Worth Your Time**
* You'll integrate GenAI and LLM APIs directly into a live product, including the safety and moderation logic that makes them production\-ready.
* Working across the full stack — from mobile webview quirks to AWS Lambda authorizers — is how you'll grow into a true fullstack systems engineer.
* You'll be guided by hands\-on senior engineers who review your API design and security implementation closely, and help you grow.
* You'll be surrounded by talented peers with strong educational backgrounds, and pushed to sharpen your fullstack and AI integration instincts working alongside them.
### **About Talentica**
Since 2003, Talentica has built software exclusively for tech companies — from early\-stage startups to large, established enterprises. We've partnered with startups from their earliest stages through to successful acquisitions, doing the kind of deep product and engineering work that moves a company's valuation, not generalist consulting or staff augmentation. Our \~600\-person team is among the strongest in the industry, drawn heavily from the IITs and NITs — which means the software you'll build is genuinely differentiated, and the work is demanding enough that you'll keep learning regardless of how senior you are.