Senior AI Engineer (LLMs, Workflow Automation & Data Science)

About the Role

Senior AI Engineer

AI engineering and data science

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.