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4 days ago
We are seeking a seasoned professional to lead the integration of Gen AI into our engineering ecosystem.
About this roleThis is a contractor position that involves designing intelligent assistants and agents to augment CI/CD workflows, knowledge retrieval, incident handling, and developer productivity using LLMs, Python, and NLP pipelines.
Key Responsibilities- Prompt Engineering: Design and optimize prompts for LLM workflows to ensure accuracy and relevance.
- RAG Pipeline Development: Build RAG pipelines using vector DBs (FAISS, Pinecone, Weaviate, Qdrant).
- LLM Integration: Integrate LLMs into internal tools, CI/CD, and observability dashboards.
- Gen AI Solutions: Implement Gen AI solutions using Lang Chain, Llama Index, Haystack, Hugging Face etc.
- LLM Fine-tuning: Fine-tune open-source/commercial LLMs (Open AI, Claude, Cohere, Mistral) for domain use cases.
To be successful in this role, you will need:
- 6–10+ years in engineering with 2+ years hands-on experience in Gen AI/LLMs/NLP.
- Strong Python skills with experience in Lang Chain, Hugging Face, Llama Index.
- Deep knowledge of vector databases and embeddings.
- Proven experience designing and deploying RAG architectures.
- Experience integrating LLM APIs (Open AI, Azure Open AI, Claude, etc.).
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