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Niche GenAI skillset and specific stack reduce applicant density despite mid-level experience.
GenAI and ML skills are broadly transferable across industries.
Explicit 4-6 years plus mandatory Python, LLM, LangChain, and cloud skills creates strict filters.
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Design, build, and train machine learning and deep learning models to solve business problems.
Develop GenAI applications including fine-tuning foundation models (LLMs, CV, NLP), RAG pipelines, and multi-agent systems.
Integrate AI features into products collaborating with engineers, data scientists, and product managers.
4 to 6 years total work experience in relevant fields.
Strong proficiency in Python and experience with ML/AI frameworks.
Hands-on experience with GenAI orchestration tools such as LangChain.
Experience with cloud deployment on AWS Bedrock or GCP Vertex AI; Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Technology, or related field.
Experienced in working with large language models (LLMs), agentic flows, retrieval-augmented generation (RAG), and embeddings.
Skilled in data preparation including cleaning and optimizing structured and unstructured data for training pipelines.
Has collaborative experience working with cross-functional teams including engineers, data scientists, and product managers to deliver AI-integrated solutions.