GEN AI

Posted on May 28, 2025

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Job Description

  • GEN AI
  • Exp- 8 + yrs
  • Location- Remote
  • Duration- 6 months.
  • Job Description
  • * Solid foundation in NLP methods, including applications like text classification, sentiment detection, and entity recognition.
  • * Proficiency with Retrieval-Augmented Generation (RAG) techniques and experience working with vector databases (e.g., Weaviate, PineCone).
  • * Extensive Python programming skills, with a proven ability to implement complex solutions.
  • * At least 1 year of practical experience in building applications based on Large Language Models (LLMs) using established third-party models (e.g., OpenAI, Anthropic).
  • * Skilled in prompt engineering, with experience crafting function calls and constructing conversational AI applications.
  • * Familiarity with advanced LLM techniques such as zero-shot and few-shot learning, as well as fine-tuning for specific use cases.
  • * Strong background in using Generative AI libraries and tools, such as Langchain and HuggingFace.
  • * Solid grasp of version control practices, including Git and collaborative development workflows.
  • * Comprehensive experience in preparing, managing, and processing extensive datasets, both structured and unstructured.
  • * Proven experience deploying, scaling, and monitoring machine learning models, particularly LLMs, in live environments.� Flexible to accommodate occasional overlap with US Eastern Time for effective team collaboration.
  • * Professional proficiency in English. Desirable
  • Additional Experience:
  • * Hands-on experience with open-source LLM frameworks, such as Llama or Mistral.
  • * Prior work involving data in regulated sectors, such as healthcare, banking.
  • Technical Skills and Capabilities:� Skilled in RESTful API design (Python-FastAPI) and development, ensuring secure and scalable interfaces.
  • * Proficient in JavaScript for both front-end and back-end, with a strong command of associated frameworks.
  • * Knowledgeable in architecting scalable solutions using microservices.
  • * Experience with the generative AI landscape, specifically around RAG, vector embeddings, LLMs, and open-source AI toolkits.� Familiarity with cloud-based infrastructure (AWS, Azure, GCP) and their data services.
  • * Competent in database design and optimization across SQL and NoSQL technologies.
  • * Practical experience with data streaming platforms, such as Kafka, Azure Event Hub, or AWS Kinesis.
  • * Agile development experience, using tools like Git, Jenkins, and Azure DevOps.
  • * Skilled in creating and managing CI/CD pipelines for seamless testing and deployment.
  • * Excellent team collaboration and communication skills, with an aptitude for working across technical and non-technical roles

Required Skills

ai/gen ai