Generative AI (GenAI) Solutions Engineer

,

InnoVites

It feels great to build and deliver software solutions that exactly address customer needs. And that’s exactly what InnoVites is about.  

We have a laser sharp focus on our target market: the wire and cable industry. With our deep understanding of this vertical we love building software that creates high value for our customers.  

It has resulted in continuous growth of the company, while we are serving our customers located in over 20 countries worldwide. As our customers benefit from the global energy transition, the future at InnoVites is electrifying!  

As a team we cherish craftmanship and celebrate team results. Every day we seek opportunities to learn from each other and grow.   

Together, we can make a difference – and you can too. Dream it. Build it. Do it here.  

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About the Role 

Generative AI Solutions Engineer

This role is suited for someone passionate about building real-world applications powered by cutting-edge Generative AI technologies. 

. 

Key Responsibilities 

• Design and develop intelligent

  chatbots

  using LLMs and vector-based retrieval systems. 
• Implement

  RAG pipelines

  for combining document retrieval with generative model responses. 
• Build

  semantic search systems

  using PGVector and high-dimensional embeddings. 
• Develop solutions to

  automatically read and interpret emails

  , extract key content, and trigger workflows. 
• Create tools to

  scan and understand documents

  (PDFs, Word files, etc.) using OCR, embeddings, and LLMs. 
• Integrate AI models with backend systems and APIs using Python and Node.js. 
• Optimize performance of AI pipelines and ensure high-quality, context-aware outputs. 
• Document workflows, prompt strategies, and AI integration best practices 

Qualifications 

• Postgraduate degree

  in Computer Science, AI/ML, Data Science, or related fields. 
• 1–2 years of experience working with

  LLMs

  ,

  semantic embeddings

  , and

  RAG architectures

  . 
• Experience with

  PGVector

  and

  PostgreSQL

  for vector-based search. 
• Proficiency in

  Python

  and

  Node.js

  for application and API development. 
• Experience developing

  chatbots

  ,

  email automation

  , or

  document intelligence tools

  . 
• Familiarity with

  OCR tools

  ,

  document parsing libraries

  , and AI frameworks like

  Hugging Face Transformers

  ,

  LangChain

  , or

  FAISS

  . 

Bonus Points (Good to Have): 

• Hands-on with

  email classification

  ,

  intent detection

  , or

  outlook/Gmail API integration

   
• Experience using tools like

  Tesseract OCR

  ,

  pdfplumber

  ,

  LangChain agents

  , or

  vector indexers

   
• Deployment experience on

  cloud platforms

  (AWS/GCP/Azure) 
• Exposure to

  MLOps

  , containerization (Docker), or conversational UX design 
• Interest or background in

  enterprise knowledge search

  ,

  RPA

  , or

  process automation

   

Why Join Us? 

• Gain

  real-world experience

  working on enterprise-grade applications. 
• Work with a

  highly experienced team

  and receive

  mentorship

  . 

• Encouragement to self-learn, explore, and innovate

  in a supportive environment. 
• Opportunity to transition into a

  full-time role

  after a successful internship. 

• Flexible and collaborative work culture

  with room for growth and creativity.