AI/ML Engineer - Generative AI Solutions

Job Summary :

We are looking for a skilled AI/ML Engineer with hands-on experience in Generative AI and LLM applications to join our team. The ideal candidate will have strong proficiency in NLP, Deep Learning, and building scalable AI solutions using Python. You will be responsible for designing, developing, and deploying intelligent systems such as chatbots, Q&A engines, and creative content generators using advanced AI frameworks.

Key Responsibilities :

- Design and implement Generative AI solutions, including chatbots, Q&A systems, and creative generation tools.

- Develop and optimize RAG (Retrieval-Augmented Generation) pipelines using LangChain or similar frameworks.

- Integrate and fine-tune OpenAI/GPT-like models for various business applications.

- Apply NLP and Deep Learning techniques to extract insights and build intelligent features.

- Write clean, modular, and scalable code in Python, including API design and integration.

- Deploy ML models and applications to the cloud using AWS, GCP, or Azure.

- Work with vector databases (e.g., FAISS, Pinecone, Weaviate) and embeddings for semantic search and retrieval.

- Utilize Docker and containerization for environment consistency and deployment workflows.

- Collaborate with cross-functional teams including data scientists, backend engineers, and product managers.

Required Skills & Qualifications :

- Proven experience with Generative AI projects.

- Proficiency in LangChain, RAG architecture, and LLM orchestration.

- Strong knowledge of OpenAI APIs or equivalent large language models (e.g., Cohere, Claude, LLaMA).

- Solid understanding of NLP, deep learning, and transformer-based architectures.

- Advanced Python programming skills and experience building APIs (FastAPI, Flask, etc.).

- Experience deploying ML/AI solutions on AWS, Azure, or Google Cloud.

- Hands-on experience with vector stores and embedding models.

- Proficiency with Docker, version control (Git), and CI/CD pipelines.

Preferred Qualifications :

- Masters or PhD in Computer Science, Machine Learning, AI, or related fields.

- Contributions to open-source LLM or AI frameworks.

- Experience with MLOps and model monitoring tools.