Senior Software Engineer (Web Scraping Gen AI Developer)
AI summary
BrighterMonday Uganda is hiring a Senior Software Engineer focused on web scraping and generative AI to automate and improve scraping operations. The role involves building AI-powered workflows, fine-tuning LLMs, and creating smart alerting and debugging tools to reduce manual effort. Candidates need 5-6+ years of AI/ML engineering experience, strong Python skills, and familiarity with LLMs, vector databases, RAG, and cloud environments.
- Senior AI/ML engineering role focused on web scraping automation
- Requires 5-6+ years of experience and strong Python skills
- Involves LLMs, RAG, vector databases, and cloud platforms
- Flexible working environment and LinkedIn Learning benefits
- Production-ready systems and containerization experience needed
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- Required5+ years of relevant experienceThe job post includes a minimum experience signal.
- PreferredPractical evidence in security, retail, internshipThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Senior Software Engineer (Web Scraping Gen AI Developer) evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to BrighterMonday Uganda and the role in Not specified.
- Add concrete examples related to security, retail, internship, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from BrighterMonday Uganda; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- BrighterMonday Uganda
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
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Interview preparation
- What experience makes you a strong fit for this Senior Software Engineer (Web Scraping Gen AI Developer) role in security, retail?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Not specified under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research BrighterMonday Uganda before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
- We are looking for a senior AI engineer 56 years of experience) to help us automate and improve our web scraping operations using AI. We mainly aim to reduce manual effort and improve efficiency across our scraping team, by building intelligent systems that can:
- Extract data more autonomously.
- Detect issues before they affect production.
- Automatically adapt to website changes.
- Improve code/data QA.
- Reduce development and maintenance time.
Responsibilities
- Design, build, and deploy AI-powered automation and LLM-based workflows (chatbots, copilots) for real-world scraping issues to detect scraping failures and anomalies and identify data issues,
- Fine-tune, evaluate and optimize AI models for performance and scalability.
- Implement smart alerting systems to reduce noise and focus on real issues
- Build AI-assisted tools to debug scraping issues and recommend fixes or generate updated logic to reduce manual maintenance effort for scraping pipelines
- Collaborate with scraping team to translate scraping/business
Requirements
- into AI-driven solutions. Continuously monitor and improve performance, reliability, and cost efficiency of AI solutions in production environments.
- Maintain documentation, testing procedures, and deployment workflows.
- 5- 6+ years of
Experience
- in AI/ML engineering or similar roles
- Strong Python skills
- Strong problem-solving skills to address complex challenges and performance bottlenecks.
- Advanced knowledge in Machine Learning models and Large Language Models LLM, using Langchain or a similar tool.
- in implementing LLMs using vector databases and Retrieval Augmented Generation RAG, as well as tuning models. Using GPTs, Llama, or any other LLM
- building production-ready systems, not just prototypes and providing support to them.
- Hands-on
- with containerization Docker, ideally Kubernetes) and CI/CD workflows.
- in developing and using APIs can be useful for integrating models into existing applications.
- with cloud environments GCP, Azure or AWS
- Familiarity with web scraping tools Scrapy, Playwright, Selenium) and data pipelines and distributed systems is a strong plus as well as understanding of security best practices for extracting data..
- Excellent technical communication skills to collaborate effectively across teams and explain technical concepts to non-technical stakeholders
- Our
Benefits
Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/
About NIQ
NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights-delivered with advanced analytics through state-of-the-art platforms-NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.
For more information, visit NIQ.com
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Our commitment to Diversity, Equity, and Inclusion
At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion
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