Job Description: AI Engineer

Position Title: AI Engineer

Experience Level: 46 years

Employment Type: Full-time

Department: Engineering

Location: Jaipur, Gurgaon.

Required Qualifications

Technical Expertise

46 years of professional experience in AI/ML engineering, with focus on LLM-based applications or agentic systems
Deep proficiency in Python and hands-on experience with AI/ML frameworks (LangChain, Hugging Face, PyTorch, TensorFlow)
Proven experience building or optimizing Retrieval-Augmented Generation (RAG) systems
Hands-on experience with LLM architectures and working with models of 7B+ parameters
Practical knowledge of small language models (SLMs) and model quantization/optimization techniques
Familiarity with MCP servers or similar integration protocols for LLM tools
Proficiency with version control (Git) and CI/CD pipelines
Knowledge of containerization (Docker) and cloud platforms (AWS, Azure, or GCP)
Understanding of database systems (relational and vector databases)
Solid understanding of ML lifecycle: model training, evaluation, validation, and deployment
Experience with prompt engineering, in-context learning, and few-shot learning techniques
Understanding of evaluation metrics and benchmarking frameworks for LLM systems

Preferred Qualifications

Experience with open-source LLM frameworks and models (LLaMA, Mistral, Phi, etc.)
Hands-on experience with vector databases and semantic search optimization
Background in building production-grade agentic systems at scale
Familiarity with prompt frameworks, chain-of-thought techniques, and structured outputs
Experience with model serving platforms (vLLM, Ray Serve, TorchServe)
Knowledge of AI safety, model alignment, and responsible AI practices
Contributions to open-source AI/ML projects
Experience with multi-modal models or advanced retrieval techniques
Familiarity with organizational process automation and enterprise AI deployment
Experience designing and implementing multi-agent systems or agentic AI frameworks

Artificial Intelligence Engineer