AI Engineer

Bridge Global; Ernakulam; On-site; INR 800,000 - 1,500,000; Full time

Job summary

Bridge Global in Ernakulam, India is seeking a skilled AI Engineer with expertise in Generative AI and Large Language Models (LLMs). In this role, you will design and deploy AI-powered applications, integrate AI services with various platforms, and mentor team members on AI engineering best practices.

The ideal candidate will have a strong background in software engineering, experience with cloud technologies, and a passion for emerging AI innovations. Join us to contribute to cutting-edge AI solutions in a dynamic environment.

Qualifications

• Hands-on experience in Generative AI and Large Language Models (LLMs).
• Experience deploying AI solutions in production environments.
• Strong software engineering fundamentals.

Responsibilities

• Design, develop, and deploy AI-powered applications and solutions.
• Build and maintain Retrieval-Augmented Generation (RAG) systems and AI agents.
• Collaborate to translate requirements into AI-driven solutions.

Skills

Generative AI

Large Language Models (LLMs)

Machine Learning

Software Engineering Fundamentals

Cloud Platforms

Prompt Engineering

AI Observability

Development Experience

Job description

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 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 new AI models, agentic frameworks, and emerging technologies.
• Build proof‑of‑conceptions 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.