
Expertise in Artificial Intelligence Integration
24 hours ago
Job Overview:
We are seeking a skilled professional to integrate GenAI into our engineering ecosystem. This role involves designing intelligent assistants and agents to augment workflows, knowledge retrieval, incident handling, and developer productivity using LLMs, Python, and NLP pipelines.
- Design and optimize prompts for LLM workflows ensuring accuracy and relevance
- Build RAG pipelines using vector DBs (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
Required Skills:
- 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.)
Benefits:
This contractor role offers the opportunity to work on cutting-edge technology, collaborate with experienced professionals, and develop expertise in GenAI and its applications.
Nice to Have:
- Experience with multi-modal models and fine-tuning LLMs
- Familiarity with developer-facing GenAI use cases: infra-as-code review, changelog generation, log triage
- Exposure to Kubernetes, GitOps, DevSecOps
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