
Expert GenAI and Prompt Engineering Professional
2 weeks ago
We are seeking a seasoned Senior GenAI and Prompt Engineering Expert to integrate cutting-edge artificial intelligence into our engineering ecosystem.
This contractor role involves designing intelligent assistants and agents to augment CI/CD workflows, knowledge retrieval, incident handling, and developer productivity using Large Language Models (LLMs), Python, and Natural Language Processing (NLP) pipelines.
- Main Responsibilities:
- Design and optimize prompts for LLM workflows ensuring accuracy and relevance
- Build Retrieval-Augmented Generation (RAG) pipelines using vector databases (FAISS, Pinecone, Weaviate, Qdrant)
- Integrate LLMs into internal tools, CI/CD, and observability dashboards
- Implement GenAI solutions using LangChain, LlamaIndex, Haystack, Hugging Face, etc.
- Fine-tune open-source/commercial LLMs (OpenAI, Claude, Cohere, Mistral) for domain use cases
- Collaborate with DevOps and platform teams to drive automation with GenAI
- Ensure data privacy, governance, and ethical AI practices
- Essential Requirements:
- 6-10+ years in engineering, with 2+ years hands-on experience in GenAI/LLMs/NLP
- Strong Python skills with experience in LangChain, Hugging Face, LlamaIndex
- Deep knowledge of vector databases and embeddings
- Proven experience designing and deploying RAG architectures
- Experience integrating LLM APIs (OpenAI, Azure OpenAI, Claude, etc.)
- Desirable Experience:
- Multi-modal models/fine-tuning LLMs
- Developer-facing GenAI use cases: infra-as-code review, changelog generation, log triage
- Kubernetes, GitOps, DevSecOps exposure
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