Location: Gurgaon
Work Mode: Hybrid
Experience: 4-7 Years
About Saarthee:
Saarthee is a Global Strategy, Analytics, Technology, and AI consulting company, where our passion for helping others fuels our approach, products, and solutions. Our diverse and global team works 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 offices in the UK and India.
Position Summary:
We’re expanding our Product and AI Innovation team and looking for a GenAI Engineers to lead the design and deployment of Generative AI solutions that power Saarthee’s products and client platforms.
As a GenAI Engineer, you’ll work on LLM-based architectures, prompt engineering, model fine-tuning, and GenAI-powered application development. You’ll collaborate with product, data science, and engineering teams to integrate generative models into real-world business workflows driving automation, personalization, and decision intelligence.
This is a high-ownership role suited for innovators who love experimenting with the latest in AI and delivering production-grade solutions at scale.
Your Role Responsibilities and Duties:
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Design, develop, and deploy Generative AI models and LLM-driven applications.
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Work on prompt engineering, model fine-tuning, and custom LLM adaptation for domain-specific use cases.
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Collaborate with Data Scientists and Engineers to integrate LLMs into analytics, automation, and workflow products.
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Build retrieval-augmented generation (RAG) systems using vector databases and knowledge retrieval pipelines.
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Develop and manage end-to-end GenAI pipelines — from data preprocessing to inference and deployment.
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Experiment with open-source and commercial LLMs (OpenAI, Anthropic, Mistral, Llama, etc.) and evaluate their applicability to product needs.
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Create APIs and microservices that embed AI capabilities into products and enterprise systems.
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Optimize model latency, cost, and performance in production environments.
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Collaborate with product managers and designers to translate ideas into scalable, user-friendly GenAI applications.
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Stay updated on emerging trends in Generative AI, NLP, and multimodal AI — driving innovation within Saarthee’s product ecosystem.
Required Skills and Qualifications:
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Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
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4–7 years of professional experience in AI/ML engineering, with at least 1–2 years focused on Generative AI or LLM-based development.
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Hands-on experience with Python and libraries/frameworks such as LangChain, Hugging Face Transformers, OpenAI API, PyTorch, TensorFlow.
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Practical knowledge of LLM fine-tuning, prompt design, and embedding models.
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Experience with vector databases (Pinecone, FAISS, Weaviate, Chroma) and RAG pipelines.
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Familiarity with cloud services (AWS, Azure, or GCP) for model hosting and deployment.
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Experience building APIs, chatbots, or GenAI-powered applications for enterprise use cases.
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Strong understanding of NLP techniques, tokenization, and model evaluation metrics.
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Proficiency in CI/CD pipelines, Docker, and Kubernetes is a plus.
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Excellent problem-solving, experimentation, and communication skills.
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A builder mindset, eager to innovate, prototype, and deliver high-impact AI solutions.
What We Offer:
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Bootstrapped and financially stable with high pre-money evaluation.
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Above-industry remunerations.
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Additional compensation tied to Renewal and Pilot Project Execution.
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Additional lucrative business development compensation.
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Firm-building opportunities that offer a stage for holistic professional development, growth, and branding.
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An empathetic, excellence-driven, and result-oriented organization that believes in mentoring and growing teams with a constant emphasis on learning.
