Principal/Senior Engineer – AI Systems

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Emumba

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

🤝 B2B

🏢 Enterprise

🤖 Artificial Intelligence

B2B • Enterprise • Artificial Intelligence

Emumba is an engineering and innovation partner that helps enterprises and startups design, build, and operate cloud-native systems. The company specializes in AWS cloud engineering, GenAI solutions, data platforms (cataloging, discovery, quality, and data engineering), Zero Trust security frameworks, DevOps and infrastructure automation, and enterprise-grade QA and UX. Emumba delivers production-ready, scalable, and secure enterprise applications and integrations for global clients across industries.

📋 Description

• You’ll spend your time writing code, experimenting with LLMs, and turning ideas into production-grade Generative AI systems. • You’ll work directly on Retrieval-Augmented Generation (RAG), LLMOps, and multi-agent orchestration frameworks, solving real technical problems every day. • This is a **purely technical IC role**, not a managerial one. • You’ll lead by example, mentor through code reviews, and own end-to-end technical delivery. • Collaborate with data and platform engineers to deploy and optimize GenAI solutions.

🎯 Requirements

• 5+ years of backend or ML engineering experience, with **strong Python coding** skills. • **Proven experience shipping RAG systems** (vector DBs, embeddings, chunking). • Familiarity with orchestration frameworks (LangGraph, LangChain, AutoGen, or similar). • Understanding of LLM behavior, evaluation, and fine-tuning workflows. • Experience with APIs, microservices, and cloud-native development (AWS preferred). • **Nice-to-Have** • Experience with unstructured data (PDFs, tables, images). • Familiarity with distributed systems concepts (async, message queues, caching). • Experience with LLM evaluation or reinforcement learning from feedback (RLAIF). • Understanding of data versioning or retrieval metrics. • **Soft Skills** • **Builder mindset** — thrives on writing, debugging, and improving production code. • Collaborative, humble, and open to feedback. • Strong communicator who explains design decisions clearly.