Generative AI (GenAI) Engineer

Posted on June 19, 2025

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Job Description

  • Generative AI (GenAI) Engineer
  • Experience Required: 2 - 6 Years
  • Location: Remote
  • Department: AI/ML Research & Development
  • Job Description:
  • We are seeking a talented and driven Generative AI (GenAI) Engineer with 2�6 years of experience to join our growing AI innovation team. In this role, you'll work on cutting-edge projects involving Large Language Models (LLMs) and Small Language Models (SLMs), with a focus on Retrieval-Augmented Generation (RAG), contextual similarity, and transformer-based architectures like BERT.
  • Key Responsibilities:
  • ?Develop and optimize RAG pipelines, including modules for sorting, filtering, ranking, and re-ranking of retrieved data.
  • ?Work with both closed-source and open-source LLMs/SLMs to solve real-world business problems.
  • ?Implement Chain of Thought (CoT) reasoning to enhance model interpretability and output accuracy.
  • ?Design and apply contextual similarity, graph-based RAG, and corrective RAG techniques to improve model relevance and trustworthiness.
  • ?Fine-tune and utilize BERT and other transformer models for embeddings, classification, and NLP tasks.
  • ?Develop scalable APIs and microservices using Flask to integrate GenAI functionality into applications.
  • ?Research and prototype emerging GenAI capabilities for integration into existing systems.
  • ?Collaborate cross-functionally with product managers, ML engineers, and software developers to deliver robust GenAI solutions.
  • Required Skills & Qualifications:
  • ?2�6 years of hands-on experience in Python and AI/ML development.
  • ?Deep understanding of LLMs and SLMs, including implementation and integration strategies.
  • ?Experience with Retrieval-Augmented Generation (RAG) architecture and retrieval optimization techniques.
  • ?Proficiency in contextual similarity, vector-based search, and semantic relevance models.
  • ?Strong understanding of Chain of Thought (CoT) prompting and reasoning techniques.
  • ?Experience working with Graph RAG and Corrective RAG for enhanced model accuracy.
  • ?Familiarity with BERT and other transformer-based models for NLP use cases.
  • ?Practical experience building APIs using Flask or similar frameworks.
  • Preferred Qualifications:
  • ?Experience with vector databases (e.g., FAISS, Pinecone, Weaviate).
  • ?Familiarity with LangChain, Haystack, or LLM orchestration tools.
  • ?Experience deploying GenAI solutions on cloud platforms (AWS, Azure, GCP).
  • ?Knowledge of prompt engineering, tokenization, and conversational memory.

Required Skills

No specific skills listed.