Applore Technologies - Senior Generative AI Engineer - Data Modeling

Job Description

We are seeking a highly experienced Senior Gen AI Engineer to join our engineering team focused on designing, developing, and deploying cutting-edge Generative AI and Large Language Model (LLM) based solutions. This is a hands-on role requiring deep technical expertise in Python, modern AI frameworks, and system-level thinking to translate complex business requirements into scalable and production-ready AI applications. You will play a pivotal role in shaping the GenAI strategy and delivering high-impact solutions for real-world enterprise use :

• GenAI System Design & Development : Build intelligent, context-aware systems using frameworks like Langchain and Retrieval-Augmented Generation (RAG).
• Prompt Engineering & Agent Workflows : Apply advanced prompt engineering and develop agent-based architectures for dynamic user interaction and reasoning.
• Technical Roadmapping : Collaborate with engineering leadership to define and implement the technical roadmap for GenAI and LLM initiatives.
• Solution Delivery : Translate business and functional requirements into scalable, robust, and maintainable AI/ML solutions.
• Cross-Team Collaboration : Work closely with business SMEs, product teams, and data
  
  

engineers to align model outputs with domain-specific goals.

• Code & Architecture Excellence : Participate in system design, code reviews, and performance
  
  

Optimization Of Deployed

• Proficient in Python, Langchain, and SQL.
  
  

Deep Understanding Of LLM Internals, Including

• Prompt tuning
• Embeddings
• Vector databases (e. g., FAISS, Pinecone)
• Agent workflows
• Strong foundation in Machine Learning or Software Engineering, especially in system design
  
  

and architecture.

• Experience working on cloud platforms : AWS, Azure, or GCP.
• Ability to work autonomously and deliver in cross-functional environments.
• Strong communication skills, including experience with stakeholder engagement and
  
  

technical documentation.

• 1+ years of hands-on experience in LLMs and Generative AI technologies.
• Demonstrated experience contributing to or leading ML/AI product pipelines and end-to-end
  
  

deployments.

• Familiarity with MLOps, CI/CD for ML, and model monitoring in production.
• Previous exposure to client-facing projects or collaborative work with business units and AI
  
  

teams.

(ref:hirist.tech)