06 Oct
|
Jobgether
|
India
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead/Staff Engineer - Applied AI based in India.
This is a high-autonomy engineering role focused on building LLM-powered AI agents and next-generation Generative AI systems at significant scale.
You will lead the development of intelligent systems that power customer-facing automation, personalized communication, scheduling, and operational workflows.
The role sits at the intersection of applied AI, agent architecture, data science, and production engineering.
You will take ambitious ideas from research and experimentation through deployment, monitoring, and continuous iteration.
The position offers the chance to work with large-scale data, retrieval systems, foundation models, and sophisticated agent architectures.
You will collaborate closely with product, backend, infrastructure, and engineering teams to create reusable and scalable AI capabilities.
As a technical leader, you will also influence AI strategy, establish best practices,
and mentor engineers in a fast-moving, globally distributed environment.
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Accountabilities:
• Architect, build, and deploy autonomous AI agents capable of executing complex workflows across sales, messaging, scheduling, and business operations.
• Develop and fine-tune LLM solutions using both open-source models and API-based platforms, tailoring them to specific data, product, and customer requirements.
• Design and scale robust Retrieval-Augmented Generation (RAG) systems and vector search infrastructure to support accurate, context-rich, real-time generation.
• Develop and continuously refine prompt engineering, context construction, function calling, and agent tool-use strategies using LangChain or comparable orchestration frameworks.
• Apply advanced data science techniques, including predictive modeling, A/B testing, scoring, clustering, segmentation, causal inference, and time-series
📌 Lead/Staff Engineer (India)
🏢 Jobgether
📍 India