Generative AI Engineer
Generative AI Engineer
shya workforce solutions- Posted 2 months ago
- Over 50 applicants have applied
Job Description
- Design and develop AI pipelines using LLMs and traditional ML models
- Build, fine-tune, and evaluate large language models for various NLP tasks
- Design prompts and RAG-based systems to optimize output relevance and factual grounding
- Implement and deploy vector search systems integrated with document knowledge bases
- Select appropriate models based on data and business requirements
- Perform data wrangling, feature extraction, and model training
- Develop training material, internal documentation, and course content (especially around Python and AI development using LlamaIndex)
- Work with DevOps to deploy AI solutions efficiently using containers, CI/CD, and cloud infrastructure
- Collaborate with data scientists and stakeholders to build scalable, interpretable solutions
- Maintain awareness of emerging tools and practices in AI and ML ecosystems
More Info
Key Skills
vector search systems
LLMs
model training
RAG-based systems
CI CD
traditional ML models
LlamaIndex
Containers
About Company
Skills:
CDK, Typescript, FastAPI, Python, Terraform, Docker, Flask, OpenAI, LlamaIndex, Google, Azure OpenAI, LangChain, AWS Bedrock, Anthropic
Skills:
Distributed Systems, Python, multimodal systems, vector databases, Pinecone, custom retrieval layers, Swarm, Chroma, transformer architectures, RLHF, LangChain, CrewAI, AI safety, agent frameworks, AutoGen, LLM fine-tuning, LoRA, MLOps tooling, generative AI models, Milvus, OpenAI, Weaviate, QLoRA, LlamaIndex, red-teaming
Skills:
Cuda, Docker, FastAPI, Azure, Python, AWS, LangChain, Anthropic APIs, vector databases, Pinecone, LLM fine-tuning, FAISS, NVIDIA GPU toolkits
Skills:
Numpy, Pandas, Python, Data Analysis, Statistical Modeling, Forecasting, decision-support systems, anomaly detection, time-series analysis, machine learning techniques