Job Description: AI Engineer
Position Title: AI Engineer
Experience Level: 35 years
Employment Type: Full-time
Department: Engineering
Location: Jaipur, Gurgaon.
Required Qualifications
Technical Expertise
- 35 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