Gen AI Engineer

1 day ago

Nagpur, India Betasys AI Full time

Responsibilities

  • Design and deliver cutting-edge AI systems to solve some of our clients' most challenging business problems
  • Software development utilizing GenAI tools
  • Developing, testing and refining AI-generated text prompts
  • Collaborating with content, product and data teams to align prompts with company goals and user needs
  • Continuously improving code quality, performance and the overall AI prompt generation process
  • Conducting research on natural language processing and machine learning techniques to enhance prompt generation
  • Analyzing user feedback and data to identify areas for improvement in prompt quality and performance
  • Developing and maintaining documentation across the software development lifecycle
  • Staying up-to-date with the latest advancements in AI and natural language processing
  • Deliver production-grade, mature AI/ML solutions for our clients at scale, built with automated, repeatable processes
  • Take ownership of and drive key architecture decisions around the AI/ML lifecycle (build, test, deploy, and monitor)
  • Utilize best-of-breed practices, tools, and cloud solutions

Requirements and skills

·  Must have 4+ years of experience in Python development of services and/or applications where Python was used as the core programming

·  3+ years of professional experience with cloud technologies (AWS, GCP, Azure), AWS preferred

·  Proven work experience as a Software Developer with GenAI skills

·  Software development experience with NodeJS development, GitLab CI/CD, as well as queuing approaches and solutions

·  Experience with document parsing into RAG GPT solutions
and story estimation

·  Comprehensive understanding of natural language processing, machine learning and AI-generated content development

·  Excellent problem-solving and analytical skills

·  Ability to collaborate effectively with cross-functional teams

·  Experience using large language models, Langchain, Langgraph, vector databases, and cloud AI services to architect AI solutions (AWS SageMaker, GCP AI Platform, Azure ML), AWS preferred

·  Experience in model development/fine-tuning and integration of LLMs to broader application workflows

· Expertise in prompt engineering, agentic frameworks, and retrieval augmented generation

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