Role & responsibilities:

We are seeking a highly skilled AI Engineer with hands-on experience in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and Machine Learning. The ideal candidate should possess strong software engineering fundamentals, experience deploying AI solutions in production environments, and a passion for exploring emerging AI technologies. Experience with cloud platforms, vector databases, prompt engineering, and AI observability is highly desirable. Also Development Experience

.

Designation:

Ai Engineer

KEY RESPONSIBILITIES AND KEY QUALIFICATIONS

- Design, develop, and deploy AI-powered applications and solutions using Large Language Models (LLMs), Generative AI, and Machine Learning technologies.
- Build and maintain Retrieval-Augmented Generation (RAG) systems, AI agents, chatbots, copilots, and intelligent automation solutions.
- Integrate AI models and services with web applications, enterprise systems, databases, APIs, and third-party platforms.
- Evaluate, fine-tune, and optimize AI models for accuracy, performance, reliability, and cost efficiency.
- Develop prompt engineering strategies and testing frameworks to improve AI response quality and user experience.
- Design and implement scalable AI architectures, including vector databases, knowledge retrieval systems, and agent workflows.
- Collaborate with product managers, designers,



QA engineers, and business stakeholders to translate requirements into AI-driven solutions.
- Conduct research on emerging AI technologies, frameworks, models, and industry trends, and recommend adoption where appropriate.
- Establish monitoring, evaluation, and observability mechanisms for AI systems to ensure quality, compliance, and continuous improvement.
- Implement AI safety measures, guardrails, security controls, and responsible AI practices.
- Participate in code reviews, architecture discussions, and technical decision-making processes.
- Create technical documentation, architecture diagrams, implementation guides, and best practices.
- Support deployment, troubleshooting, and optimization of AI applications in production environments.
- Contribute to the organization's AI strategy, innovation initiatives, and proof-of-concept development.
- Mentor team members and promote AI engineering best practices across projects.
Research and experiment with recent AI models, agentic frameworks, and emerging technologies.
- Build proof-of-concepts and validate new AI use cases before production implementation.
- Evaluate commercial and open-source AI tools, platforms, and frameworks.
- Define standards, governance practices, and reusable AI components for organization-wide adoption.

📌 AI Engineer (Kochi)
🏢 BRIDGE Global
📍 Kochi