AI Engineer (Jaipur)

AI Engineer (Jaipur)

14 Nov
|
CIMET
|
Jaipur

14 Nov

CIMET

Jaipur

Job Details

- Work Location: Jaipur
- Job Type: Full Time
- Legal Entity: Vconnex Pvt Ltd
- Qualifications: Any Graduations (BCA, MCA, Btech)
- Experience Required: 3-7 years
- Position Title: AI Engineer
- Reports To: Tech Lead
- Business Unit: Jaipur

Job Summary

The AI Engineer is responsible for designing, building, and deploying AI-powered features, intelligent agents, and machine learning solutions across CIMETs Comparison-as-a-Service (CaaS) platform. The role focuses on delivering scalable, secure, and production-ready Generative AI applications that enhance customer experiences through personalization, automation, recommendations, search, and conversational capabilities. The position works closely with Product, Engineering, DevOps, and business stakeholders to develop reliable AI solutions that support CIMETs growth and innovation goals.

Key Accountabilities

Generative AI Agent Development

- Design, build, and deploy LLM-powered applications and AI features.
- Develop AI agents and multi-step agentic workflows using modern orchestration frameworks.
- Build and maintain Retrieval-Augmented Generation (RAG) pipelines and vector search solutions.
- Integrate AI solutions into existing business systems and customer journeys.

Machine Learning AI Solutions

- Develop and implement machine learning solutions for recommendation, ranking, personalization, prediction, and decision-support use cases.
- Prepare datasets, engineer features, and evaluate model performance.
- Design evaluation frameworks to measure AI quality, accuracy, and effectiveness.
- Continuously improve model outcomes and user experiences.

Prompt Engineering NLP

- Design, optimize,



and manage prompts for accuracy, consistency, cost, and latency.
- Apply NLP techniques including semantic search, summarization, document processing, and entity extraction.
- Develop conversational and search-based AI experiences.
- Improve AI response quality and relevance through testing and iteration.

Responsible AI Quality Assurance

- Implement AI testing, monitoring, evaluation, and observability frameworks.
- Apply safety guardrails, privacy controls, bias mitigation, and responsible AI practices.
- Monitor AI systems for hallucinations, performance degradation, and operational risks.
- Deliver reliable, secure, and compliant AI applications.

Collaboration Engineering Excellence

- Collaborate with Engineering, Product, DevOps, and QA teams.
- Integrate AI services with backend platforms and APIs.
- Participate in technical architecture discussions and roadmap planning.
- Contribute to code reviews, documentation, CI/CD pipelines, and Agile delivery practices.

Your Skills and Experience

- 2 6 years of software development experience with hands-on AI/ML engineering exposure.
- At least 1 year of experience building and deploying Generative AI or LLM-based applications in production environments.
- Strong proficiency in Python and experience building APIs and backend services.




- Experience with LLMs, prompt engineering, AI agents, RAG architectures, embeddings, vector databases, and AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, or MCP.
- Knowledge of machine learning concepts, NLP techniques, model evaluation, recommendation systems, ranking algorithms, and prediction models.
- Hands-on experience with AI frameworks and tools such as OpenAI, Claude, Bedrock, Hugging Face, PyTorch, TensorFlow, Pandas, and scikit-learn.
- Experience implementing testing frameworks, monitoring solutions, and responsible AI practices.
- Working knowledge of AWS cloud services, Docker, CI/CD pipelines, and contemporary software development practices.
- Experience using AI development platforms such as Cursor AI, Claude Code, GitHub Copilot, or similar tools.
- Strong problem-solving, communication, collaboration, and stakeholder management skills.

Challenges of the Position

Rapid Growth

CIMET will grow massively over the next 2 years, we need to build and onboard a team of high-performing people to enable the planned growth to reach fruition.

Systems

CIMET is in the growth phase of the expansion, where systems, processes and policies are being developed and implemented. This means there will be constant changes occurring and you will need to be agile in your approach to changing business priorities.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI Engineer (Jaipur)
🏢 CIMET
📍 Jaipur

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