Fullstack + AI
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.