Gen AI Engineer

About Cybage

Cybage Software Pvt. Ltd. is a technology consulting is a technology consulting organization specializing in outsourced product engineering services. As a leader in technology & product engineering space, Cybage works with some of the world’s largest Independent Software Vendors (ISVs). Our solutions are focused on modern technologies and are enabled by a scientific, data-driven system called Decision Mines for Digital Excellence

Key Responsibilities

• Lead end-to-end design and development of GenAI applications and intelligent systems, from prototype to production.
• Drive hands-on implementation using frameworks such as LangChain, Amazon Bedrock, and OpenAI models (GPT series, embeddings, fine-tuning, etc.).
• Apply prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures to build robust, context-aware AI solutions.
• Implement and enforce engineering best practices, including code quality, testing, observability, and security gates.
• Ensure production readiness - covering monitoring, instrumentation, model evaluation, and performance optimization.
• Collaborate with seniors and engineers to define system architecture, data pipelines, and integration patterns for GenAI workloads.
• Guide and mentor engineers within the team; conduct code reviews and technical design sessions.
• Partner with product managers and stakeholders to translate requirements into scalable, measurable technical deliverables.
• Stay current with emerging trends in GenAI, LLM orchestration, and cloud AI services (preferably), bringing new ideas into practice.

Key Skills & Experience:

• 7–10 years of software engineering experience, including at least 1+ years in GenAI systems.
• Proficiency in Python and practical experience working with OpenAI, Anthropic, or Bedrock APIs for LLM-based solution development.
• Strong understanding of system design, and API integration.
• Must have experience with modern DevOps practices (CI/CD, containerization, observability).
• Good to have hands-on experience with one of the cloud platforms (AWS, Azure, or GCP)
• Exposure to vector databases, embedding models, and prompt optimization techniques.
• Ability to lead a small team or pod of engineers, providing technical direction and mentorship.
• Excellent problem-solving and communication skills; ability to collaborate effectively with cross-functional stakeholders.