5+ Years of experience • Full Time • India

Job Profile:

Looking for an AI Engineer with 5 plus years of experience to build and deploy AI solutions using LLMs, Generative AI, RAG, AI agents, and Machine Learning. The role involves developing intelligent applications, integrating AI with enterprise systems, optimizing model performance, and implementing scalable, secure, production-ready AI solutions.

What we are looking for in you

- 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-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.

Key Skills

- Elasticsearch
- AI Safety & Guardrails
- MLOP
- microservices architecture
- Large Language Models (LLMs)
- AI knowledge
- Vector Databases
- Fine-Tuning & Model Adaptation
- Agentic AI
- LangGraph
- Serverless Architectures
- Retrieval-Augmented Generation (RAG)
- Natural Language Processing (NLP)
- langchain
- PostgreSQL DBA
- TypeScript / JavaScript
- AI Engineer
- python
- AI Agents & Multi-Agent Systems
- Embedding Models & Vector Search

Office

India

Information Security & Data Protection

- Adhere to the organizations and clients applicable information security, confidentiality, privacy, and data protection requirements.
- Safeguard company and client information and use it responsibly, ensuring protection against unauthorized access, disclosure, alteration, loss, or misuse.

Employee Advantages

Flexible
Working Hours

Competitive
Base Salary

Medical
Insurance

Onsite Travel
Opportunities

Healthy
Luncheon

Trainings &
Certifications

Biannual
Company Trips

📌 Lead AI Engineer (India)
🏢 BRIDGE Global
📍 India