Generative AI Engineer
5 days ago
Position: AI Engineer
Experience: 1-2 years
Location: (Remote/On-site/Hybrid)
Employment Type: Full-Time
About Us:
At Kloudfarm, we are at the forefront of AI innovation, developing intelligent systems that solve complex challenges and drive impactful results. We are looking for a talented and motivated AI Engineer with 1-2 years of experience to join our team. This is an exciting opportunity to work on cutting-edge AI technologies, including Generative AI, Agentic Workflows, and Retrieval-Augmented Generation (RAG), while contributing to real-world applications and scaling AI solutions for global impact.
Key Responsibilities:
- Develop, fine-tune, and deploy Generative AI models for real-world applications.
- Design and build agentic workflows for autonomous decision-making and task automation.
- Implement and optimize Retrieval-Augmented Generation (RAG) systems, integrating external data sources with LLMs to improve output quality.
- Utilize prompt engineering to enhance model performance and address challenges like AI hallucinations, ensuring accurate and reliable results.
- Collaborate with cross-functional teams to prototype, test, and deploy AI solutions.
- Analyze, preprocess, and manage datasets for AI model training and evaluation.
- Write clean, efficient, and scalable code in Python, leveraging libraries such as PyTorch, TensorFlow, or Hugging Face.
- Monitor, evaluate, and improve AI model performance, ensuring scalability and robustness.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 1-2 years of hands-on experience in AI/ML development or related roles.
- Strong understanding of Generative AI and frameworks like OpenAI, Hugging Face, or LangChain.
- Experience with prompt engineering and addressing issues like AI hallucinations.
- Familiarity with Retrieval-Augmented Generation (RAG) techniques and knowledge integration.
- Proficiency in Python, with experience in AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Knowledge of APIs, data pipelines, and cloud platforms (AWS, Azure, GCP).
- Strong problem-solving skills, attention to detail, and ability to work collaboratively.
Preferred Skills:
- Experience with tools like LangChain, Pinecone, or Weaviate for building intelligent RAG systems.
- Familiarity with deploying AI models on cloud platforms and using tools like Docker or Kubernetes.
- Knowledge of CI/CD pipelines for streamlined development and deployment.
- Contributions to open-source projects or a portfolio showcasing AI/ML work.
What We Offer:
- Work on impactful AI projects with cutting-edge technologies.
- Mentorship and opportunities for professional growth in the AI domain.
- A collaborative and innovative work environment that values your ideas.
- Join us and be part of a team shaping the future of AI innovation
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