
AI Solutions Developer
2 days ago
Job Title: Generative AI Engineer
About the Position:
We are seeking an experienced professional to design, build, and deploy cutting-edge generative AI solutions.
Key Responsibilities:
- Create innovative generative AI models using large language models (LLMs) such as OpenAI, Anthropic, or open-source models.
- Develop and refine prompt engineering strategies to drive accurate and context-aware model responses.
- Implement model pipelines using Python and ML frameworks like PyTorch, Hugging Face Transformers, or LangChain.
- Collaborate with data engineers and MLOps teams to productionalize GenAI models on cloud platforms.
- Evaluate model performance using quantitative and qualitative metrics and improve outputs through iterative experimentation.
- Stay current with the latest research in GenAI and foundation models.
Mandatory Skills:
- Generative AI (LLMs, Transformers)
- Python, PyTorch, Hugging Face Transformers
- Azure/AWS/GCP cloud platforms
- LangChain or similar orchestration frameworks
- REST APIs, FastAPI, Flask
- ML pipeline tools (MLFlow, Weights & Biases)
- GIT CI/CD for ML (e.g., Azure ML, SageMaker pipelines)
Desirable Skills:
- RAG (Retrieval-Augmented Generation)
- Vector DBs (FAISS, Pinecone, Weaviate)
- Streamlit/Gradio for prototyping
- Docker, Kubernetes (for model deployment)
- Data preprocessing & feature engineering
- NLP libraries: spaCy, NLTK, Transformers
About Us:
We offer a challenging work environment that fosters growth and collaboration. Our team is dedicated to helping clients navigate the complexities of the rapidly changing business landscape.
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