Data & AI Solutions Engineer Job Vacancy at Reignova Technologies Company Limited Dar es salaam May 2026

Website Reignova Technologies Company Limited

Reignova Technologies Company Limited

 


Job Summary

Position: Data & AI Solutions Engineer
Company: Reignova Technologies
Application Email: hr@reignovatechnologies.com


Role Summary

The Data & AI Solutions Engineer transforms enterprise data into intelligent, AI-powered systems that deliver immediate business value. The role combines data engineering, machine learning, and generative AI development to build scalable pipelines, AI applications, and automation systems for enterprise clients across East Africa.


Key Responsibilities

Data Engineering & Pipeline Architecture

  • Design and build scalable ETL/ELT data pipelines
  • Integrate structured and unstructured data from multiple sources (APIs, databases, IoT, third-party systems)
  • Architect enterprise data platforms using:
    • Azure Synapse Analytics
    • Databricks
    • Google BigQuery
    • AWS Redshift
  • Implement real-time and batch processing using:
    • Apache Spark
    • Kafka
    • Azure Data Factory
  • Establish data governance, quality, and master data management frameworks
  • Manage metadata, cataloging, and data lineage systems

AI & Generative AI Engineering

  • Build production-grade Generative AI applications using:
    • Azure OpenAI
    • OpenAI API
    • Google Vertex AI
  • Design Retrieval-Augmented Generation (RAG) systems using vector databases (Pinecone, Chroma, Azure AI Search)
  • Develop Python-based AI automation pipelines (LLM workflows, preprocessing, inference)
  • Implement intelligent automation using:
    • n8n
    • Make (Integromat)
    • Azure Prompt Flow
  • Build predictive ML models (fraud detection, churn prediction, forecasting)
  • Design prompt engineering frameworks and responsible AI guardrails
  • Stay current with LLM and AI advancements (GPT, Gemini, Llama ecosystems)

Client Delivery & Collaboration

  • Work with architects, analysts, and stakeholders to define AI/data use cases
  • Translate technical solutions into business value for executives
  • Support pre-sales activities, proposals, and proof-of-concept development

Required Qualifications & Experience

  • Minimum 3+ years experience in data engineering + AI/ML or Generative AI
  • Strong ETL/ELT pipeline development experience
  • Experience with distributed systems (Spark, Kafka)
  • Hands-on experience with cloud data platforms (Azure, AWS, or Google Cloud)
  • Production experience with:
    • Azure OpenAI / OpenAI API / Vertex AI
  • Strong Python skills (data + AI development)
  • Experience with LLM frameworks (LangChain, LlamaIndex, Semantic Kernel, Prompt Flow)
  • Knowledge of vector databases and RAG systems
  • Experience in automation tools (n8n / Make)
  • Understanding of data governance and compliance in regulated industries
  • Strong communication and business translation skills

Education Requirements

  • Bachelor’s Degree (mandatory) in:
    • Computer Science
    • Artificial Intelligence
    • Data Science
    • Software Engineering
    • Statistics / Mathematics
    • Related quantitative field
  • Master’s degree is an added advantage

Required Certifications (at least one)

  • Microsoft Azure AI Engineer Associate (AI-102)
  • Google Professional Machine Learning Engineer
  • Azure Data Scientist Associate (DP-100)
  • AWS Machine Learning Specialty
  • Google Professional Data Engineer
  • Microsoft Azure Data Engineer Associate (DP-203)
  • Azure Fundamentals (AZ-900)
  • Python Institute PCAP

Preferred Skills

  • LangChain, LlamaIndex, Semantic Kernel
  • Vector databases (Pinecone, Weaviate, Qdrant, Chroma)
  • MLOps tools (MLflow, Azure ML Pipelines)
  • Apache Airflow, dbt
  • Real-time streaming (Kafka, Event Hubs)
  • Power BI / Tableau / Looker
  • Multi-agent AI systems (AutoGen, CrewAI)
  • AI fine-tuning (LoRA, QLoRA, PEFT)

Candidate Profile

  • Strong hybrid thinker: data engineering + AI systems
  • Hands-on builder (prototype → production mindset)
  • Comfortable working in ambiguity
  • Strong communicator of technical concepts to business leaders
  • Passion for responsible and ethical AI
  • Continuous learner in fast-evolving AI ecosystem

Application Instructions

  • Send application to: hr@reignovatechnologies.com
  • Subject: Application for Data & AI Solutions Engineer
  • Include expected monthly gross salary
  • Attach:
    • CV
    • Application letter
    • Passport-size photo
    • Certificates

Important Notes

  • Incomplete applications will not be considered
  • Only shortlisted candidates will be contacted

 

To apply for this job email your details to hr@reignovatechnologies.com

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