Job Description : AI Engineer
Position Title : AI Engineer
Experience Level : 3–5 years
Employment Type : Full-time
Department : Engineering
Location : Jaipur, Gurgaon.
Required Qualifications
Technical Expertise
- 3–5 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 optimizationBackground in building production-grade agentic systems at scaleFamiliarity with prompt frameworks, chain-of-thought techniques, and structured outputsExperience with model serving platforms (vLLM, Ray Serve, TorchServe)Knowledge of AI safety, model alignment, and responsible AI practicesContributions to open-source AI / ML projectsExperience with multi-modal models or advanced retrieval techniquesFamiliarity with organizational process automation and enterprise AI deploymentExperience designing and implementing multi-agent systems or agentic AI frameworks