Artificial Intelligence/Machine Learning Engineer

Key Responsibilities :

- Generative AI Development : Design, develop, and implement cutting-edge Generative AI models and solutions, focusing on applications of Large Language Models (LLMs).

- Architecture & Systems : Apply a strong understanding of LLM architectures, Agentic AI principles, prompt engineering techniques, RAG (Retrieval-Augmented Generation) pipelines, and memory systems (e.g., vector databases) to build robust AI systems.

- Agent Frameworks : Build and integrate intelligent agents using established frameworks such as LangChain, AutoGen, CrewAI, Semantic Kernel, or similar cutting-edge tools.

- Code Implementation : Write clean, efficient, and well-documented code primarily in Python, leveraging relevant Gen AI libraries (e.g., Transformers, HuggingFace, OpenAI API, LangChain, LlamaIndex).

- Cloud Deployment : Deploy and manage AI/ML solutions on at least one major cloud platform (AWS, Azure, or GCP), ensuring scalability, performance, and reliability.

- Problem Solving : Tackle complex technical challenges, debug issues, and optimize AI models for performance and efficiency.

- Collaboration & Agile : Work collaboratively within a fast-paced, agile environment, engaging with cross-functional teams including product managers, data scientists, and other engineers.

- Research & Innovation : Stay abreast of the latest advancements in AI/ML and Generative AI, continuously exploring new techniques and tools to enhance our capabilities.

Required Skills & Experience :

- 3 to 8 years of overall experience in AI/ML domains, with a minimum of 1 year of hands-on experience specifically in Generative AI.

- Strong understanding of LLM architectures, their capabilities, and limitations.

- Proven experience with concepts like Agentic AI, advanced prompt engineering, and RAG (Retrieval-Augmented Generation) pipelines.

- Practical experience with memory systems for LLMs, including vector databases (Pinecone, Weaviate, Milvus).

- Hands-on experience in building agents using frameworks such as LangChain, AutoGen, CrewAI, Semantic Kernel, or similar.

- Proficiency in Python and extensive experience with relevant Gen AI libraries (Transformers, HuggingFace, OpenAI API, LangChain).

- Experience deploying AI/ML solutions on at least one major cloud platform (AWS, Azure, or GCP).

- Strong problem-solving skills, analytical thinking, and a proactive approach to challenges.

- Ability to work effectively in a fast-paced, agile, and hybrid work environment.