Generative AI Engineer - Senior

About Saarthee:Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. We are a onestop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthee’s holistic and tool agnostic approach is unique in the marketplace. Our Consulting Value Chain framework meets our customers where they are in their data journey. Our diverse and global team work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and IndiaPosition Summary:We are looking for a GenAI Engineer with 5+ years of experience who can work independently and drive internal AI use cases end to end. The ideal candidate should have hands-on experience building GenAI products that have been successfully deployed to production.The role requires a self-motivated professional with strong communication skills and solid system integration expertise. Candidates must have a deep understanding of the AWS ecosystem and be capable of working with multiple versions of large language models (LLMs).A strong software engineering background, with experience developing and scaling large, complex systems, is essential. Knowledge of SAP or experience integrating with SAP systems will be considered a strong plus.Role and Responsibilities:- Working with various departments including Security , Governance , Architecture , Business stakeholders to move the product from Pilot to Production Rapid Prototyping: Build and test functional Gen AI prototypes using LLMs, RAG, and prompt engineering to validate business use cases in days, not months. - Model Selection & Tuning: Evaluate and select optimal foundation models (OpenAI, Anthropic, Llama, etc.) and fine tune them for specific tasks like business query replies or personalized content. - Data Integration: Design and implement data pipelines to ingest company-specific documentation and databases into vector stores for grounded, actionable AI insights. - Feasibility Assessment: Analyze POC performance metrics and costs to provide technical recommendations on the scalability and business value of moving solutions to production.Requirements:- 5-8 years of experience in Agentic AI, LLM, Rag, Machine Learning (ML), Deep Learning (DL), and NLP (Transformers) -based model development. Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.). - Candidates having experience SDLC, Software Engineering will be preferred. - Hands-on experience in developing and deploying conversational AI/chatbots is Plus - Strong proficiency in Python and experience with ML/DL frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers . - Experience with LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph . - Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and embedding models . - Understanding of Prompt Engineering and Fine-tuning LLMs . - Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale. - Experience in working with APIs, Docker, FastAPI for model deployment. - Strong analytical and problem-solving skills. - Ability to work independently and collaboratively in a fast-paced environment.

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