Fullstack Engineer

Job description

Job Title: Full Stack Engineer AI & Cybersecurity Solutions Location: Hyderabad / Bengaluru Position Summary We're looking for an experienced Full Stack Engineer who also has hands-on experience building AI/GenAI-powered applications. In this role, you'll work closely with client teams to design, build, and deliver technology solutions — combining strong engineering skills with the ability to understand client needs and translate them into working products. This is a client-facing engineering role, not a purely back-office development position. Must-Have Skills Full Stack Development • 5-8+ years of hands-on experience in full stack development (frontend and backend) • Strong skills in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js) • Backend experience in Node.js, Python (Django/Flask), or Java (Spring Boot) • Experience with relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis) • Experience building REST APIs, microservices, and serverless architectures • Experience deploying applications on AWS, Azure, or GCP • Familiarity with Docker, CI/CD pipelines, and tools like Git and Azure DevOps AI / GenAI Experience • 1+ years of experience building and deploying AI/GenAI/LLM-powered applications (not just experimenting — actual client or production use) • 1+ years working with at least one major AI platform: Anthropic, Google, or OpenAI (e.g., Claude API, Claude Code, Gemini API, Vertex AI Agent Builder, GPT-4o, OpenAI Assistants API) • Good understanding of how AI systems are architected and how to build applications around them Client Interaction & Ownership • Comfortable working directly with clients to understand their requirements and turn them into technical solutions • Ability to independently own a project end-to-end and deliver consistent, high-quality work • Strong communication skills — able to explain technical concepts clearly to both technical and non-technical stakeholders • A strong sense of ownership and accountability for outcomes Good-to-Have Skills • Exposure to cybersecurity concepts (application security, cloud security, identity, detection engineering) • Experience in product engineering environments • Familiarity with DevSecOps and secure development practices • Experience with Elasticsearch/OpenSearch or graph databases (Neo4j) • Knowledge of Kubernetes, GitOps, or cloud-native architecture • Cloud certifications (AWS, Azure, or GCP) • Basic familiarity with ML frameworks like TensorFlow or PyTorch What You'll Do 1. Build & Deliver Solutions – Turn business and technical requirements (including AI-powered features) into working solutions, deployed for clients; troubleshoot and resolve issues as they come up 2. Support Client Discussions & Demos – Help build demos, proof-of-concepts, and prototypes during early client conversations; contribute ideas on solution design 3. Share Learnings & Improve Processes – Document what you learn on projects, help improve reusable tools/processes, and support clients through clear documentation and knowledge transfer Education • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field