Opens LinkedIn
- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Develop scalable software and Generative AI applications using Python, LLMs, and enterprise cloud services. Integrate AI solutions with enterprise data sources and apply sound practices for system design, evaluation, security, privacy, and governance.
Job details
Minimum of 8 years of software development experience, with strong hands-on experience in Python and relevant experience in AI/ML or Generative AI. Strong knowledge of system design, software architecture, and scalable application development. Strong programming skills in Python, REST APIs, JSON, and object-oriented programming. Hands-on experience developing Generative AI applications using Large Language Models (LLMs). Strong understanding of LLMs, prompt engineering, embeddings, vector databases, Retrieval-Augmented Generation (RAG), and context management. Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent tools. Experience with AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, or equivalent technologies. Hands-on experience with vector databases such as Pinecone, Azure AI Search, FAISS, Weaviate, or Chroma. Experience with AI and cloud services on Azure, AWS, or GCP, preferably Azure OpenAI in an enterprise environment. Good understanding of the machine learning lifecycle, model evaluation, LLM evaluation techniques, and MLOps concepts. Experience with SQL, databases, data processing, and integration with enterprise data sources. Understanding of AI security, responsible AI practices, data privacy, and governance. Familiarity with Git, CI/CD pipelines, Docker, Kubernetes, and Agile/Scrum methodologies. Strong analytical, problem-solving, communication, and collaboration skills.
What you’ll do
Develop scalable software and Generative AI applications using Python, LLMs, and enterprise cloud services. Integrate AI solutions with enterprise data sources and apply sound practices for system design, evaluation, security, privacy, and governance.
Requirements
Requires at least 8 years of software development experience, strong Python skills, and hands-on experience with AI/ML or Generative AI. Candidates should have experience with LLM application development, orchestration frameworks, vector databases, cloud platforms, data integration, MLOps, and software delivery practices.
Listed skills
- Python · Preferred
- prompt engineering · Preferred
- REST APIs · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- Generative AI
- Large Language Models
- Prompt Engineering
- Embeddings
- Vector Databases
- Retrieval-Augmented Generation
- LangChain
- LlamaIndex
- Semantic Kernel
- PyTorch
- TensorFlow
- Scikit-Learn
- Azure OpenAI
- REST APIs
- MLOps
Job areas
- Technology
- Software
- Data & Analytics
- Engineering
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