Applied LLM Researcher

About Us

Wisma AI is at the forefront of next-generation media intelligence, empowering organizations to understand and navigate the evolving landscape of public sentiment and media dynamics. We specialize in harnessing the vast expanse of news and online communities’ data to provide deep, actionable insights to corporate communications, public relations, and risk management professionals. By blending cutting-edge AI with human expertise, we deliver fast, in-depth analysis that helps our clients make informed, strategic decisions.

Job Description

Wisma AI is seeking an Applied LLM Researcher to join our technical team working on real-world problems in policy, finance, and public safety. You will play a critical role in evaluating large language models (LLMs) for specialized use cases—ranging from media intelligence to financial document analysis applications.

This is a hands-on role for someone who understands both the cutting edge of foundation models and the real-world constraints of deployment (accuracy, latency, data sensitivity, etc.).

Key Responsibilities

• Evaluate LLMs (open-source and commercial) for client-specific applications.

• Design LLM pipelines for tasks such as summarization, classification, retrieval-augmented generation (RAG), and structured extraction.

• Conduct benchmarking and ablation studies to guide model and tool selection.

• Work closely with data engineers, analysts, and domain experts to select appropriate models to comply with real-world constraints.

• Stay abreast of the latest developments in LLMs, embeddings, multi-modal systems, and alignment techniques—and assess their applicability to Wisma AI use cases.

• Support AI governance and safety discussions with empirical insights (e.g., hallucination rates, bias measurement).

What We're Looking For

• Solid understanding of modern LLM techniques and models.

• Experience with LLM tooling ecosystems such as LangChain, Hugging Face, OpenAI, and/or vector DBs (Pinecone, Weaviate, FAISS).

• Fluency in Python and libraries.

• Familiarity with prompt or context engineering, evaluation methods, and retrieval techniques.

• Strong analytical and communication skills; ability to work across technical and policy domains.

• Bonus: Experience with multilingual NLP or speak multiple languages. 

What We Offer

• Exposure to cutting-edge AI tools and media analysis techniques.

• The opportunity to work with a dynamic team in an innovative and rapidly growing company.

• Mentorship and career development opportunities.

• A collaborative work culture that values creativity and learning.

How to Apply

If you're ready to kickstart your career in media intelligence and AI, we'd love to hear from you! Please send your resume and a short cover letter detailing your interest in the role to contact@wisma.ai.