Artificial Intelligence Engineer
- Turigram, India
Posted 3 days ago
About the role
Job Description – Lead AI Engineer
Position
Lead AI Engineer – Core AI
Experience
9–13 Years
Location
Gurugram, Haryana
Work Mode
Hybrid
Role Overview
We are looking for a highly experienced Lead AI Engineer who is a core AI/ML professional with strong hands-on expertise in designing, developing, and deploying AI/ML systems at scale.
The ideal candidate should have a deep understanding of Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, NLP and LLM technologies , along with strong Python programming and production engineering capabilities.
This is a hands-on technical leadership role . We are looking for someone who can work beyond simply integrating third-party AI APIs and can contribute to AI model development, experimentation, optimization, evaluation and productionization .
Key Responsibilities
- Lead the design and development of scalable AI/ML solutions for complex business problems.
- Develop, train, fine-tune, evaluate and optimize machine learning and deep learning models .
- Work extensively with Generative AI, LLMs, NLP and advanced AI architectures .
- Design AI pipelines covering data preparation, model training, evaluation, deployment and monitoring.
- Build and productionize AI models using Python and modern AI/ML frameworks .
- Work on LLM fine-tuning, prompt engineering, RAG, embeddings and vector databases where applicable.
- Evaluate AI models using appropriate accuracy, performance and business metrics.
- Research and implement state-of-the-art AI/ML techniques.
- Collaborate with Data Engineering, Backend Engineering, Product and Business teams.
- Establish best practices around model versioning, experimentation, reproducibility and AI governance .
- Mentor senior engineers and guide the technical direction of AI initiatives.
- Drive AI solutions from POC → production → continuous optimization .
Mandatory Technical Skills
Core AI / Machine Learning
- Strong hands-on experience in Machine Learning and Deep Learning
- Strong understanding of Supervised & Unsupervised Learning
- Experience with model development, training, validation and optimization
- Strong knowledge of NLP and/or Computer Vision
- Experience with neural network architectures and modern deep learning techniques
Generative AI / LLM
- Strong practical experience with Generative AI and Large Language Models
- Experience with LLM fine-tuning / customization
- RAG (Retrieval-Augmented Generation)
- Prompt Engineering
- Embeddings and Vector Search
- AI/LLM evaluation
- Experience with frameworks such as LangChain, LlamaIndex or equivalent
Programming & Frameworks
- Strong proficiency in Python
- Experience with PyTorch and/or TensorFlow
- Strong understanding of NumPy, Pandas and ML ecosystem
- Experience developing production-grade AI applications and services
AI Infrastructure / Deployment
- Experience deploying AI/ML models into production
- Knowledge of MLOps / ML lifecycle management
- Experience with Docker and containerized deployments
- Knowledge of cloud platforms such as AWS, GCP or Azure
- Understanding of model monitoring, performance optimization and scalability
Good to Have
- Experience with Generative AI Agents / Agentic AI
- Experience with multimodal AI
- Knowledge of Transformer architectures
- Experience with open-source LLMs such as Llama, Mistral or similar
- Experience with distributed model training/inference
- Knowledge of Kubernetes
- Experience with MLflow, Kubeflow or similar MLOps platforms
- Strong understanding of AI system architecture and scalability
Leadership Expectations
- Proven ability to technically lead AI engineering teams/projects
- Strong problem-solving and architectural thinking
- Ability to independently drive AI initiatives from concept to production
- Ability to mentor and review the work of AI/ML engineers
- Strong communication and stakeholder-management skills
- Comfortable working in a fast-paced, product-focused environment
Ideal Candidate
We are specifically looking for a Core AI Engineer , not someone whose experience is limited to calling OpenAI/LLM APIs or building basic chatbot applications.
The ideal candidate should have a strong foundation in AI/ML algorithms, deep learning, model development, experimentation and production AI systems , combined with modern GenAI/LLM expertise.
Education
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering or a related field .
- Advanced degree in AI/ML or related specialization will be an advantage.
Key Skills
Core AI | Machine Learning | Deep Learning | Generative AI | LLM | NLP | Python | PyTorch | TensorFlow | RAG | LLM Fine-Tuning | Transformers | LangChain | Vector Databases | MLOps | AI Model Deployment | Cloud | AI Architecture
Experience: 9–13 Years
Location: Gurugram
Work Mode: Hybrid