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Senior AI Expert
2 weeks ago
This role involves designing intelligent assistants & agents to enhance automation, knowledge retrieval, and incident handling within CI/CD workflows using LLMs, Python, and NLP pipelines.
Main Responsibilities:- Design & optimize prompts for LLM workflows ensuring accuracy & relevance.
- Create RAG pipelines using vector DBs (FAISS, Pinecone, Weaviate, Qdrant) to improve data efficiency.
- Integrate LLMs into internal tools, CI/CD, and observability dashboards.
- Develop GenAI solutions using LangChain, LlamaIndex, Haystack, Hugging Face etc. to drive business value.
- Fine-tune open-source/commercial LLMs (OpenAI, Claude, Cohere, Mistral) for domain use cases to achieve optimal results.
- Collaborate with DevOps & platform teams to implement automation with GenAI.
- Evaluate and ensure data privacy, governance, and ethical AI practices are upheld.
- 6–10+ years in engineering, with 2+ years hands-on experience in GenAI/LLMs/NLP.
- Strong Python skills with expertise in LangChain, Hugging Face, LlamaIndex.
- Deep understanding of vector databases & embeddings.
- Proven ability to design & deploy RAG architectures.
- Experience integrating LLM APIs (OpenAI, Azure OpenAI, Claude, etc.).
- Knowledge of multi-modal models / fine-tuning LLMs.
- Familiarity with developer-facing GenAI use cases: infra-as-code review, changelog generation, log triage.
- Experience with Kubernetes, GitOps, DevSecOps.