
AI Innovation Leader
2 weeks ago
Job Title: AI Solutions Architect
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We are seeking an experienced GenAI Engineer with a strong background in Prompt Engineering, Retrieval-Augmented Generation (RAG), and Vector Search Systems to lead our engineering & DevOps ecosystem.
This is a contractor role where you will design intelligent assistants & agents to augment CI/CD workflows, knowledge retrieval, incident handling, and developer productivity using LLMs, Python, and NLP pipelines.
Key Responsibilities:
- Design & Optimize Prompts: Ensure accuracy & relevance for LLM workflows
- RAG Pipeline Building: Use vector DBs (FAISS, Pinecone, Weaviate, Qdrant)
- LLM Integration: Integrate LLMs into internal tools, CI/CD & observability dashboards
- GenAI Solutions: Implement using LangChain, LlamaIndex, Haystack, Hugging Face etc.
- Fine-Tuning LLMs: Open-source/commercial LLMs (OpenAI, Claude, Cohere, Mistral) for domain use cases
- Collaboration: Work with DevOps & platform teams to drive automation with GenAI
- Data Privacy: Ensure data privacy, governance & ethical AI practices
Required Skills:
- 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.)
Benefits:
As a leading innovator in GenAI, you will have the opportunity to work on cutting-edge projects and collaborate with top experts in the field. You will also receive comprehensive training and support to help you grow your skills and advance your career.
Other Opportunities:
You will be part of a dynamic team that values creativity, innovation, and collaboration. We offer a flexible work environment, competitive compensation package, and opportunities for professional growth and development.
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