AI Engineer

AI Engineer

This role is for our US-based Media Analytics client account, a distributed SaaS company using AI to power media monitoring and analysis. Their platform enables clients to understand what s being said in the world and why it matters using LLMs, data pipelines, and custom metrics to turn raw data into actionable insights. We are looking for a highimpact Data Scientist to help reimagine and transform the way the organization operate and deliver products to its clients. This is a strategic role that blends advanced data science, large language models (LLMs), and product thinking to drive simplicity, usability, quality, and operational efficiency across the company. This role is intended for someone with 5+ years of experience, a deep understanding of LLMs (especially OpenAI s ecosystem), and the skills to hit the ground running alongside our existing AI/ML team. You will work at the intersection of AI innovation, operational design, and client experience bringing technical rigor, business intuition, and creative energy to solve complex challenges. Our client provides quality media analytics to clients ranging from global Fortune 500 companies to trade associations and government agencies. They were founded to deliver superior speed, accuracy, and insights to communicators by pairing the best of technology and human analysis. By recognizing both the advantages and the limitations of technology and inserting human analysts at the optimum points, they have opened a new world of rich, reliable, and powerful media analytics unmatched in the industry. Their focus on superior data, outstanding analytics, and reliably connecting communications impact to overall business goals means our clients gain respect in the C-Suite every day. Our client is headquartered just outside of Washington, DC, USA, with additional offices in Portland, OR, USA and Ireland.

• LLM-led Innovation: Build and deploy LLM-powered tools and workflows that simplify analyst work, reduce errors, and accelerate delivery.
• Operational Transformation: Understand operational processes and create intelligent, scalable solutions that eliminate complexity and manual effort.
• Product Evolution: Partner with product and operations teams to infuse intelligence and automation into client-facing platforms.
• Client-Centric Design: Translate client pain points and product gaps into practical, data-driven AI solutions that enhance experience and outcomes.
• Rapid Experimentation: Prototype fast, test early, iterate often. Maintain speed without sacrificing accuracy or quality.
• Cross-Functional Collaboration: Work closely with engineering, product, client success, and operations teams to bring ideas to life.
• Own and operate data pipelines: Run, troubleshoot, and improve the scripts and workflows that move and transform our data upgrading these to use workflow orchestration tools for robustness and automation.
• Work with LLMs: Fine-tune models, conduct reinforcement learning with human feedback (RLHF), and support preference-review workflows.
• Model evaluation monitoring: Analyze results and report on the effectiveness of AI models and data labeling efforts using both established and novel benchmarks.
• Thematic extraction at scale: Help identify and surface underlying themes, narratives, and sentiment across vast media datasets.
• Metric innovation: Derive new ways to quantify media content and influence using observed patterns and domain insight.
• Collaborate iterate: Partner closely with the key stakeholders (such as Lead Data Scientist, members of Engineering, Products Operations team) to evolve our AIand ML-powered systems.
• Secure, scalable coding: Contribute high-quality, secure code in a cloud-based environment.

• Proven experience applying LLMs and generative AI to real-world business problems.
• Deep proficiency in Python, NLP, and AI frameworks (e.g., Hugging Face, LangChain), vector databases, and prompt engineering.
• Strong business acumen able to connect technical solutions to operational and client value.
• Startup-style drive, agility, and hands-on mindset you ship, not just ideate.
• Creativity and experimentation willing to try, fail, and improve.
• Exceptional communication skills can explain complex ideas simply and persuasively.
• Minimum 3 5 years of experience in AI/ML roles, preferably in B2B or SaaS
• environments.
• Bachelors or Masters in Computer Science, Data Science, AI, or related field.
• Experience with AWS cloud services (EC2, S3, etc.)
• Familiarity with workflow orchestration tools
• Knowledge of media analytics, journalism, or influence measurement
• Prior work with data labeling, theme detection, or benchmarking model output