AI Product Builder

As part of Techjays, you will be involved in reimagining how companies build, operate, and scale with AI as the core focus. Our company stands out as one of the 1% globally that truly leverages AI in secure, scalable, production-grade systems to drive measurable business outcomes. Combining deep backend engineering with AI system design, Techjays specializes in building AI-native platforms, intelligent workflows, and cloud architectures that are reliable, observable, and enterprise-ready. Our team comprises engineers and leaders with experience in global technology organizations like Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini, working on advanced AI systems for global clients. We are seeking an engineer who takes ownership of outcomes, architecting solutions, and shipping them to production. This role involves designing and developing backend systems and GenAI-powered features critical to our clients' platforms, requiring a founder's mindset for thinking, building, and iterating. **Key Skills:** - Backend Development (Expert): Python, Django/Flask, RESTful APIs, Websockets - GenAI & LLM Integration (Proficient): Hands-on experience with LLM APIs, prompt engineering, context management, output validation, and cost/latency optimization - Cloud Technologies (Proficient): AWS (EC2, S3, Lambda), GCP (Compute Engine, Cloud Storage, Cloud Functions), CI/CD pipelines with Jenkins/GitLab CI or Github Actions - Databases (Advanced): PostgreSQL, MySQL, MongoDB - AI/ML (Familiar): Basic understanding of Machine Learning concepts, experience with RAG, Vector Databases (Pinecone or ChromaDB or others) - Tools (Expert): Git, Docker, Linux **Roles and Responsibilities:** - Design, develop, and scale secure, high-performance backend systems using AI-assisted development (Claude) - Build and ship AI-powered product features focusing on usability and real-world impact - Own projects end-to-end, engaging with clients, gathering requirements, and translating business needs into technical solutions - Architect scalable systems aligned with product goals and make key technical decisions - Collaborate with cross-functional teams to deliver cohesive solutions and continuously improve systems based on feedback and metrics **What We're Looking For Beyond Skills:** - Builder mindset with a focus on systems - Ownership of features from idea to production - Structured thinking in ambiguous environments - Clear communication and collaborative approach - Ability to thrive in a fast-paced, evolving startup environment Techjays offers competitive compensation, a flexible work environment (Remote/Coimbatore office), paid holidays, medical insurance, opportunities to work on production-grade AI systems, exposure to global clients and high-impact projects, and a culture that values clarity, integrity, and continuous growth. If you are passionate about building AI-native systems for real-world use, Techjays provides the ideal environment to do so. As part of Techjays, you will be involved in reimagining how companies build, operate, and scale with AI as the core focus. Our company stands out as one of the 1% globally that truly leverages AI in secure, scalable, production-grade systems to drive measurable business outcomes. Combining deep backend engineering with AI system design, Techjays specializes in building AI-native platforms, intelligent workflows, and cloud architectures that are reliable, observable, and enterprise-ready. Our team comprises engineers and leaders with experience in global technology organizations like Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini, working on advanced AI systems for global clients. We are seeking an engineer who takes ownership of outcomes, architecting solutions, and shipping them to production. This role involves designing and developing backend systems and GenAI-powered features critical to our clients' platforms, requiring a founder's mindset for thinking, building, and iterating. **Key Skills:** - Backend Development (Expert): Python, Django/Flask, RESTful APIs, Websockets - GenAI & LLM Integration (Proficient): Hands-on experience with LLM APIs, prompt engineering, context management, output validation, and cost/latency optimization - Cloud Technologies (Proficient): AWS (EC2, S3, Lambda), GCP (Compute Engine, Cloud Storage, Cloud Functions), CI/CD pipelines with Jenkins/GitLab CI or Github Actions - Databases (Advanced): PostgreSQL, MySQL, MongoDB - AI/ML (Familiar): Basic understanding of Machine Learning concepts, experience with RAG, Vector Databases (Pinecone or ChromaDB or others) - Tools (Expert): Git, Docker, Linux **Roles and Responsibilities:** - Design, develop, and scale secure, high-performance backend systems using AI-assisted development (Claude) - Build and ship AI-powered product features focusing on usability and real-world impact - Own projects end-to-end, engaging with clients, gathering requirements, and translating business