**This role is for one of Weekday's clients

Salary range: Rs 3500000 - Rs 5500000 (ie INR 35 - 55 LPA)** Min Experience: 7+ years

Location: Mumbai, Maharashtra, India

JobType: full-time

We are seeking a highly skilled and hands-on AI Engineer to design, build, and deploy production-grade Generative AI solutions for complex enterprise use cases. This role requires strong expertise in Artificial Intelligence, Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI application development.

The ideal candidate will have a strong engineering mindset and a proven ability to take AI solutions from concept to production. You will work closely with cross-functional teams, including product, engineering, data, and business stakeholders, to develop scalable, reliable, and high-performing AI applications that deliver measurable business outcomes.

Requirements Key Responsibilities

- Design, develop, and lead end-to-end implementation of enterprise-grade Generative AI solutions
- Build scalable and production-ready AI applications for real-world business use cases
- Design and optimize RAG pipelines, including data ingestion, chunking, embeddings, retrieval, reranking, and grounded response generation
- Develop effective prompt engineering strategies to improve response quality, reliability, consistency, and task performance
- Work on model fine-tuning and adaptation techniques to improve model performance for domain-specific use cases
- Build and implement Agentic AI workflows involving tools, APIs, memory, reasoning, and multi-step execution
- Develop AI solutions using LLM orchestration frameworks for workflow management, tool calling, and multi-agent coordination
- Integrate Generative AI applications with enterprise platforms, internal applications, APIs, databases, and cloud services
- Evaluate and optimize AI models based on quality, accuracy, latency, hallucination risks, safety, scalability, and cost-performance trade-offs
- Develop reusable frameworks, standards, and best practices for designing, building,



and deploying AI solutions at scale
- Collaborate closely with data, engineering, product, and business teams to identify use cases and rapidly move solutions from concept to deployment
- Implement AI application evaluation, monitoring, observability, and governance practices
- Ensure AI solutions follow enterprise security, responsible AI, and compliance requirements
- Contribute to LLMOps and MLOps practices, including model monitoring, deployment, versioning, and lifecycle management

Required Skills And Qualifications

- 7-10 years of experience in AI/ML engineering, applied AI, intelligent application development, or related fields
- At least 3 years of hands-on experience in Generative AI
- Proven experience designing and deploying at least one Generative AI solution into a production environment
- Strong understanding of AI and Machine Learning fundamentals
- Hands-on expertise with Large Language Models (LLMs) and modern AI application architectures
- Robust experience with RAG, Prompt Engineering, embeddings, semantic search, and vector databases
- Experience building Agentic AI applications and multi-step AI workflows
- Knowledge of model fine-tuning and adaptation techniques
- Strong programming skills in Python
- Experience with modern AI and LLM application frameworks and orchestration tools
- Experience with cloud-based AI services, preferably AWS Generative AI services
- Valuable understanding of LLM application design, evaluation, observability, deployment, and performance optimization
- Familiarity with APIs, enterprise system integrations, and cloud-based architectures
- Understanding of AI security, responsible AI practices, governance, and risk management
- Experience with LLMOps/MLOps, monitoring, and AI lifecycle management is preferred

Must-Have Skills
- Large Language Models (LLMs)
- Artificial Intelligence (AI)
- Retrieval-Augmented Generation (RAG)

Preferred Skills

- Python
- Prompt Engineering
- Agentic AI
- Vector Databases
- Embeddings and Semantic Search
- AWS Generative AI Services
- LLMOps / MLOps
- AI Orchestration Frameworks
- Model Fine-Tuning

📌 AI Engineer (Mumbai)
🏢 Weekday AI (YC W21)
📍 Mumbai