AI Native Engineer

8 hours ago


hubballi, India beBeeEngineering Full time

Job Description:At the forefront of private equity and consulting teams, we're transforming the way work gets done by crafting intelligent AI-native workflows and platforms that cater to the demands of high-performance teams.Our mission is to accelerate value creation through cutting-edge AI, system design, and product craftsmanship in a fast-growing startup environment where technology and human-AI collaboration converge.Key ResponsibilitiesDesign and Scale Backend Systems: Utilize Python (FastAPI) to build and scale high-performance backend systems with modular, efficient architecture aligned with product goals.Cloud Deployment and Optimization: Deploy, monitor, and optimize cloud-native applications on AWS or Azure for reliability and scalability.LLM Integration and Collaboration: Collaborate with AI and product teams to integrate LLM pipelines (e.g., LangChain, LlamaIndex) into backend services.Leadership and Engineering Culture: Independently lead projects, mentor junior engineers, set code quality standards, and contribute to a fast-paced, high-ownership engineering culture.Must-Have QualificationsBackend Expertise: 5+ years of experience in Python, strong proficiency in FastAPI, and solid CS fundamentals including data structures, algorithms, system design, and design patterns.Scalable Systems: Proven ability to design and scale production-grade systems, with a deep understanding of architecture and trade-offs.Cloud Proficiency: Hands-on experience with AWS or Azure, including deployment, CI/CD, observability, and cost optimization.AI & Ownership: Strong ownership mindset with experience delivering end-to-end solutions, including AI-native backends using LangChain, LlamaIndex, etc.Experience with agent frameworks like Autogen, Semantic Kernel, CrewAI, or AutoChain, along with exposure to vector databases, embedding pipelines, and retrieval-based systems.Background in FinTech or internal tools, with a strong passion for developer experience and infrastructure innovation.BenefitsIndustry-leading pay with performance-based rewards.Work on cutting-edge AI applications with global impact and real-world use cases.Join a remote-first team with direct influence on product and architecture decisions.Expertise Required],



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