Hiring
GenAI Developer (Knowledge Graphs, LLMs, and ML Pipelines)
Location:
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Job type:
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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.
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