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Leading AI Engineering Expert
2 weeks ago
At the forefront of Artificial Intelligence and Prompt Engineering, we seek a skilled expert to integrate cutting-edge technologies into our engineering ecosystem.
Your primary focus will be on designing intelligent assistants & agents to enhance CI/CD workflows, knowledge retrieval, incident handling, and developer productivity using LLMs, Python, and NLP pipelines.
We require someone with deep expertise in Prompt Engineering, Retrieval-Augmented Generation (RAG), and Vector Search Systems to drive automation with GenAI.
Key Responsibilities:
- Design & optimize prompts for LLM workflows ensuring accuracy & relevance
- Build RAG pipelines using vector DBs (FAISS, Pinecone, Weaviate, Qdrant)
- Integrate LLMs into internal tools, CI/CD & 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 & platform teams to drive automation with GenAI
- Ensure data privacy, governance & ethical AI practices
Required Skills & Qualifications:
- 6–10+ years in engineering, with 2+ years hands-on in GenAI/LLMs/NLP
- Strong Python skills with experience in LangChain, Hugging Face, LlamaIndex
- Deep knowledge of vector databases & embeddings
- Proven experience designing & deploying RAG architectures
- Experience integrating LLM APIs (OpenAI, Azure OpenAI, Claude, etc.)
What You'll Gain:
- Opportunity to work at the intersection of AI and engineering
- Chance to design and implement innovative GenAI solutions
- Collaborative environment with experienced professionals