Software Engineer AI/ML
6 days ago
Job Description:
- Contribute to accurate, unambiguous technical design specifications with appropriate detail, including GenAI-based system integration.
- Deliver customer value in the form of high-quality software components and AI-powered services while ensuring adherence to security, performance, longevity, and AI model integration best practices.
- Estimate the size of development tasks in story points.
- Understand and follow coding conventions, AI model integration architectures, and best practices for working with LLMs (Large Language Models).
- Write, debug, and deploy code to production, ensuring timely fixes and optimizations for GenAI-powered applications.
- Adhere to Definition of Done (DOD) as part of the sprint, including unit tests, functional testing, code reviews, API performance validation, AI model evaluation, and prompt tuning.
- Implement and optimize GenAI-based workflows (e.g., OpenAI APIs, LangChain, vector databases for RAG, AI-driven automation).
Education, Experience, & Skills Required:
- 2-4 years of experience in a software engineering role, with exposure to AI/ML concepts.
- Familiarity with working in an Agile environment preferred.
- Bachelor's Degree or equivalent in Computer Science, Engineering, or a related field.
- Software engineering experience, with exposure to AI model integration and generative AI frameworks.
- Knowledge of modern programming language such as: Python - preferred for AI applications
- Familiarity with Unix/Linux, Big Data, SQL, NoSQL, and modern data storage technologies.
- Experience with AI APIs and frameworks such as OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, ChromaDB).
- Exposure to object-oriented programming, RESTful APIs, distributed computing, WebU, and modern JavaScript frameworks.
- Understanding of GenAI model deployment in cloud environments (AWS or Azure).
- Familiarity with AI model evaluation techniques, including embeddings, retrieval-augmented generation (RAG), and prompt engineering.
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