
Senior AI Engineer
1 week ago
About the Role
We are seeking a Senior AI Engineer with strong expertise in Large Language Models (LLMs), intelligent agents, and data science workflows. This role will focus on building AI-driven systems, automated research pipelines, and applied data insights that support decision-making and business growth.
The ideal candidate has hands-on experience in both AI engineering and data science, with the ability to design end-to-end solutions from extracting and structuring data, to designing LLM-powered workflows and delivering business-ready insights.
Key Responsibilities
1. AI Workflow & Agent Development
- Design and implement AI-powered workflows and agents that can autonomously research, analyze, and summarize information.
- Integrate LLMs with external APIs, search engines, and automation tools (e.g., n8n, LangChain, custom pipelines).
- Build repeatable and scalable systems that reduce manual research and improve efficiency.
2. Data Science & Insights Generation
- Collect and process structured and unstructured data from APIs, sitemaps, and web sources.
- Apply analytical methods to uncover trends, patterns, and benchmarks.
- Use AI/ML to enrich raw data (summarization, clustering, content scoring, categorization).
- Translate raw outputs into actionable insights for business stakeholders.
3. Prompt Engineering & LLM Applications
- Design advanced prompt strategies for different research and analysis scenarios.
- Experiment with LLMs to balance training-data knowledge vs real-time information retrieval.
- Build pipelines that evaluate brand, product, or market visibility through AI-driven queries.
4. Automation & Scalability
- Develop repeatable, modular pipelines that can be applied across different industries or data sources.
- Optimize workflows for performance, cost, and accuracy.
- Explore opportunities to productionize solutions for long-term adoption.
5. Collaboration & Communication
- Work closely with business and marketing teams to align AI outputs with strategic goals.
- Present complex technical results in simple, actionable formats.
- Stay updated on advancements in AI/ML tools and recommend adoption strategies.
Qualifications
- Education: Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.
- Experience: 5+ years in AI/ML engineering, with significant hands-on work in LLM-based applications.
Technical Skills:
- Strong in Python (pandas, numpy, scikit-learn, BeautifulSoup, Playwright, LangChain, etc.).
- Hands-on with LLMs (OpenAI, Anthropic, HuggingFace ecosystem).
- Experience in workflow/agent frameworks (LangChain, LlamaIndex, n8n, Airflow).
- Familiarity with search APIs (Bing, SerpAPI, Tavily) and web scraping methods.
- Data visualization (Matplotlib, Plotly, Tableau/PowerBI).
- Understanding of data governance, trust & safety, and evaluation frameworks (e.g., EEAT for content).
Soft Skills:
- Strong problem-solving ability with an experimental mindset.
- Ability to connect technical outputs with business impact.
- Excellent communication and documentation skills.
- Self-driven and comfortable working in ambiguous, evolving problem spaces.
Why Join Us
- Build cutting-edge AI agents and workflows that directly influence strategic decisions.
- Work at the intersection of AI, data science, and business intelligence.
- Freedom to experiment with emerging AI technologies and shape scalable solutions.
- Collaborative culture where innovation and results are valued over bureaucracy.
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