Hiring

GenAI Developer (Knowledge Graphs, LLMs, and ML Pipelines)

Location:
This is some text inside of a div block.
Job type:
This is some text inside of a div block.
Job experience:
4 to 8 Years

Job purpose

We are seeking an experienced GenAI Developer with expertise in building knowledge graphs and fine-tuning open-source LLM models. The ideal candidate should have hands-on experience in prompt engineering, retrieval-augmented generation (RAG), multi-agent frameworks, Langchain, and vision-language models. The candidate should also have strong Python skills, a deep understanding of REST API development with Flask/FastAPI, and experience building end-to-end ML pipelines. If you’re someone with a startup mentality and a passion for solving complex problems, we’d love to hear from you!

Key responsibilities

  • Design and implement knowledge graphs, preferably using Neo4j.
  • Fine-tune open-source LLMs, such as GPT-based or other transformer models, to optimize for specific use cases.
  • Develop and implement prompt engineering strategies for optimal model performance.
  • Work on Retrieval-Augmented Generation (RAG) and multi-agent frameworks.
  • Build and deploy vision-language models for various use cases.
  • Develop and maintain REST APIs using Flask/FastAPI.
  • Take full ownership of end-to-end machine learning pipelines, from data preprocessing to deployment and monitoring.
  • Collaborate with cross-functional teams to understand business requirements and transform them into technical solutions.
  • Solve complex technical problems with a solution-oriented mindset.
  • Work autonomously in a fast-paced, startup environment.

Skills & Qualifications

  • Experience: 4+ years of experience in AI/ML development, specifically with knowledge graphs and GenAI technologies.
  • Technical Expertise:
    • Proficient in Python.
    • Hands-on experience with building knowledge graphs, preferably using Neo4j.
    • Expertise in fine-tuning open-source LLM models and implementing advanced AI techniques like prompt engineering, RAG, Langchain, and multi-agent frameworks.
    • Strong experience in building REST APIs using Flask/FastAPI.
    • Experience in building end-to-end ML pipelines and deploying them in real-world environments.
    • Knowledge of vision-language models and their application.
  • Problem Solving: Strong analytical and problem-solving skills with a solution-oriented approach.
  • Work Style: Startup mentality, ability to work independently and take ownership of tasks.
  • Good to Have:
    • Knowledge of cloud technologies, preferably AWS.

Why Join Us?

  • Be part of an innovative and fast-growing team.
  • Work with cutting-edge technologies and solve complex AI problems.
  • Have the opportunity to make a significant impact in a dynamic startup environment.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.