AI Founding Engineer job opportunity at Weekday AI.

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Date2026-01-17T12:54:57.942Z bot
Weekday AI AI Founding Engineer
Experience: 4-years
Pattern: Full-time
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loacation Bengaluru, India
loacation Bengaluru....India

This role is for one of the Weekday's clients Salary range: Rs 2500000 - Rs 3500000 (ie INR 25-35 LPA) Min Experience: 4 years Location: Bengaluru JobType: full-time This role is ideal for a backend engineer who enjoys building AI-first platforms from the ground up. You will work on scalable backend systems that power advanced AI-driven developer tools, collaborating closely with AI/ML researchers and product teams to turn cutting-edge research into reliable, enterprise-ready solutions. The position offers hands-on ownership across system design, AI inferencing, and production deployments, with a strong focus on performance, security, and real-world usability. Key Responsibilities Design, develop, and maintain scalable, robust backend systems that support AI-powered products and developer tools Architect and implement advanced Retrieval Augmented Generation (RAG) pipelines and knowledge graph–based systems for domain-specific language models Build and optimize self-hosted AI inferencing pipelines, ensuring high performance for on-premise, edge, and enterprise deployments Collaborate with AI/ML researchers to translate models, experiments, and prototypes into production-grade backend services Design and implement APIs and data pipelines that enable complex AI workflows, integrations, and enterprise use cases Support deployment of AI solutions across cloud and on-premise environments, including GPU and accelerator-based setups Work closely with founders, product managers, and engineers to convert AI capabilities into meaningful product features Write clean, maintainable, and well-tested code while actively participating in design discussions and code reviews Continuously optimize system performance, reliability, security, and data integrity for enterprise AI platforms What Makes You a Great Fit A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with 4–5 years of backend engineering experience focused on AI/ML systems Strong proficiency in Python and backend frameworks such as FastAPI, Django, or Flask Hands-on experience designing and implementing RAG systems, including embeddings, vector databases, and retrieval strategies Familiarity with knowledge graph technologies such as Neo4j or FAISS and their application in AI systems Experience with self-hosted AI inferencing, including optimization techniques like quantization and pruning Practical exposure to deploying AI workloads on GPUs or specialized AI accelerators Solid understanding of system design, data structures, algorithms, and distributed backend architectures An ownership-driven mindset with strong problem-solving skills and the ability to work effectively in a fast-moving environment Bonus points for experience with enterprise on-premise deployments, AI security and compliance practices, MLOps, LLM fine-tuning, or startup environments

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