Artificial Intelligence Engineer
18 hours ago
Job Title: AI Engineer (GenAI & LLM)
Location: Lower Parel, Mumbai, Maharashtra (On-site)
Job Type: Full-time, Permanent
Role Overview
We are seeking a dynamic, results-driven, and highly technical AI Engineer with 13 years of experience to join our Mumbai team. This role is focused on designing and building advanced Generative AI (GenAI) and LLM-powered products. You will work hands-on with state-of-the-art technologies like OpenAI, Claude, Hugging Face, LLaMA, RAG, and Vector Search Engines to solve real-world challenges at scale.
Key Responsibilities
1. AI Product Development
- Develop and integrate LLM-based and GenAI applications (OpenAI, Claude, Hugging Face Transformers, LLaMA, etc.).
- Implement advanced architectures using RAG (Retrieval-Augmented Generation), semantic chunking, and vector databases (FAISS, Pinecone, ChromaDB).
2. Prompt Engineering & Model Orchestration
- Design, test, and optimize prompts for chatbots, summarization, content extraction, and semantic search.
- Use tools like LangChain and LlamaIndex to orchestrate complex AI workflows.
3. Real-Time Systems & AI Pipelines
- Build intelligent data pipelines and real-time anomaly detection systems.
- Work on multi-modal AI applications (text, images, tabular data).
4. Agentic AI & Reasoning Systems
- Contribute to developing Agentic AI systems capable of reasoning, planning, and autonomous tool usage.
5. Collaboration & Continuous Learning
- Partner with data engineers, product managers, and designers to deliver scalable AI solutions.
- Stay up to date with AI research trends and apply them to production systems.
6. Performance & Scale
- Optimize system performance for large-scale deployments.
- Implement token management, API optimization, and error-handling strategies.
Required Skills & Qualifications
- 1 - 3 years of hands-on experience in Python with AI/ML/NLP-based projects.
- Experience with Typescript applications.
- Practical exposure to LLMs & GenAI APIs (OpenAI, Claude, Hugging Face, LLaMA, Cohere, etc.).
- Understanding of embeddings, tokenization, and prompt engineering.
- Familiarity with vector search engines and concepts like RAG, semantic chunking, or knowledge graphs.
- Strong analytical and communication skills, with a passion for real-world AI applications.
Preferred (Good to Have)
- Experience in deploying AI APIs into production environments.
- Knowledge of Git, REST APIs, Docker, or cloud platforms (AWS, GCP, Azure).
- Interest in Agentic AI experiments and research.
Additional Information
- Work Mode: In-person
- Location Requirement: Must commute or relocate to Lower Parel, Mumbai, Maharashtra before joining.
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