Machine Learning Engineer

November 17

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Shuru

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Artificial Intelligence • B2B • Enterprise

Shuru is a product, AI, and technology consulting firm that partners with businesses to deliver strategic consulting, full-cycle product and custom software development, and curated engineering team extension. Their AI-native engineering teams build scalable AI applications, data engineering and analytics, cloud/DevOps, and API integrations to modernize systems and accelerate product delivery. Shuru operates globally with a remote-first model and emphasizes high ownership, design thinking, and measurable outcomes for enterprise and startup clients.

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

📋 Description

• Design, develop, and deploy AI-powered chatbots and conversational interfaces using Python. • Architect and build AI/LLM-based systems leveraging frameworks like Langchain, LlamaIndex, etc. • Work with vector databases (e.g., Pinecone, FAISS, Weaviate) for retrieval-augmented generation (RAG) workflows. • Integrate LLM APIs (e.g., OpenAI, Anthropic, Cohere) and fine-tune models for domain-specific tasks. • Lead POCs and drive end-to-end product development from ideation to production. • Collaborate with product, ML, and backend teams to deliver scalable AI applications. • Optimize system performance and troubleshoot distributed architectures. • Lead and mentor junior engineers in the AI technology stack.

🎯 Requirements

• 4+ years of industry experience with a strong focus on Python. • Proven experience in building and deploying AI/LLM-based products. • Familiarity with Langchain-style architectures and multi-agent workflows. • Strong understanding of vector databases, embeddings, and RAG pipelines. • Experience working with cloud services like AWS, GCP, or Azure. • Knowledge of API design, microservices, and event-driven architecture. • Solid grasp of data structures, algorithms, and performance optimization. • Strong communication and leadership skills. • Experience with fine-tuning LLMs or building custom NLP pipelines (Nice to Have). • Exposure to frameworks like FastAPI, Django, or Flask (Nice to Have). • Familiarity with Docker, Kubernetes, and CI/CD processes (Nice to Have).

🏖️ Benefits

• Work on global projects with clients from worldwide. • Be part of a remote-first culture-work from anywhere with flexibility. • Enjoy team-building activities and regular outings. • Collaborate and grow in a supportive environment with opportunities to learn from senior engineers. • Competitive salary and benefits package.