Principal Engineer (AI Systems)
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Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Were looking for a hands-on Principal Engineer (AI Systems) who loves to build not just design.
Youll spend your time writing code experimenting with LLMs and turning ideas into production-grade Generative AI systems. Youll work directly on Retrieval-Augmented Generation (RAG) LLMOps and multi-agent orchestration frameworks solving real technical problems every day.
Youll spend your time writing code experimenting with LLMs and turning ideas into production-grade Generative AI systems. Youll 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. Youll lead by example mentor through code reviews and own end-to-end technical delivery.
Key Responsibilities
- Design and code RAG systems with embeddings hybrid search and evaluation pipelines.
- Develop hands-on multi-agent orchestration frameworks (LangGraph AutoGen CrewAI or custom).
- Implement and maintain LLMOps pipelines for prompt versioning cost tracking and evaluation.
- Integrate AI workflows with backend services and data layers for real-world scalability.
- Experiment with LLMs for retrieval summarization and personalization use cases.
- Contribute directly to code architecture reviews and performance improvements.
Collaborate with data and platform engineers to deploy and optimize GenAI solutions.
Skills Knowledge and Expertise
Must-Have Skills
- 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.
Influences through contribution not hierarchy.
Required Experience:
Staff IC
Key Skills
- Engineering Support
- Environment
- Internship
- Law Enforcement
- Catering Operations
About Company
Emumba is a global software services company enabling innovation for Fortune 500 customers. Specializing in AI, Gen AI, Product Development, and Enterprise Software Solutions. Transform your business today.
