Reveille Technologies - Generative AI Specialist - RAG / Machine Learning
Reveille TechnologiesPune9 days ago
Job descriptionGen AI Solution Development : Lead the end-to-end design and implementation of Generative AI applications using cutting-edge models (LLMs) and frameworks. Prompt Engineering & Orchestration : Develop sophisticated prompt engineering strategies and utilize AI orchestration tools like LangChain, LangGraph, or Semantic Kernel to create complex, multi-step AI workflows. RAG Implementation : Design and implement robust Retrieval-Augmented Generation (RAG) systems, integrating LLMs with proprietary data sources to enhance model accuracy and relevance. Vector Database Management : Work hands-on with Vector Databases (e.g., FAISS, Pinecone, Weaviate) for efficient storage, indexing, and retrieval of vector embeddings. MLOps & Deployment : Work with MLOps pipelines to ensure seamless deployment, monitoring, and scaling of Gen AI solutions into production environments. API Integration : Integrate and leverage services from OpenAI APIs and other foundation model providers to build scalable enterprise solutions. Code Quality : Write clean, efficient, and well-documented code primarily in Python, adhering to software development best practices. Research & Evaluation : Stay current with the latest advancements in LLMs, Gen AI, and related technologies, and evaluate their applicability to business problems. Generative AI / LLMs : Deep practical experience with Generative AI models, understanding their architecture, limitations, and use cases. Python : Expert-level proficiency in Python for machine learning, data processing, and building scalable applications. AI Orchestration Frameworks : Hands-on expertise with at least one major AI orchestration framework : LangChain, LangGraph, or Semantic Kernel. RAG System Development : Proven experience in designing and implementing Retrieval-Augmented Generation (RAG) workflows. OpenAI APIs : Experience integrating and optimizing solutions utilizing OpenAI APIs (or APIs from similar large model providers like Claude, Cohere). Vector Databases : Practical working knowledge of Vector Databases such as FAISS, Pinecone, or Weaviate. Onsite Onboarding : Candidates will need to be onsite (ODC) for the first week to complete necessary administrative processes, including collecting the EY laptop and required setup. Return to Base : After the initial week, the employee can return to their base location (Pune, Mumbai, or Chennai). Bi-Monthly Travel : Bi-monthly travel to the base location for one week is required for team meetings, collaboration, and project reviews.
Description : We are seeking highly skilled and innovative Generative AI Specialists to join our team as Full-Time Employees (FTEs).
In this critical role, you will be responsible for designing, developing, and deploying enterprise-grade Artificial Intelligence and Machine Learning solutions, with a strong focus on Large Language Models (LLMs) and Generative AI frameworks.
If you are passionate about driving real innovation and building the future of AI applications, we encourage you to apply.
Key Details : Detail Specification
Role : Generative AI Specialist
Experience : 9 to 12 Years
Locations : Pune, Mumbai, Chennai
- Notice PeriodImmediate Joiner Only (Candidates with a maximum of a 15-day notice period may also be considered)
- Hiring EventVirtual Hiring Drive
- Interview SlotsTo be shared by Friday
Core Responsibilities :
Mandatory Technical Skills :
Logistics and Travel Requirements :
(ref : hirist.tech)
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Generative Ai Specialist • Pune
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