
GenAI Solutions Developer
3 days ago
We are seeking a skilled engineer to develop, fine-tune and integrate Large Language Models into enterprise applications.
The ideal candidate will have a strong background in programming languages such as Python, with experience in APIs, microservices and frameworks like Flask/FastAPI/Django.
- Develop and fine-tune LLMs (GPT, LLaMA, Claude) for enterprise applications.
- Implement prompt engineering techniques, embeddings and RAG pipelines.
- Build and maintain APIs, microservices and front-end/back-end integrations for GenAI applications.
- Work with vector databases (Pinecone, FAISS, Weaviate, Milvus) for semantic search.
- Deploy solutions on cloud AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI).
Responsibilities
- Orient the engineer's efforts towards client-based business requirements.
- Collaborate with data scientists and solution architects to deliver PoCs and production-ready applications.
- Ensure AI solutions follow responsible AI, data privacy and security guidelines.
Requirements
The successful candidate will possess the following skills:
- Strong programming skills in Python (preferred), with experience in APIs, microservices, Flask/FastAPI/Django.
- Hands-on experience with Azure Databricks and Apache Spark.
- Knowledge of vector embeddings and vector databases.
- Experience with LangChain, LlamaIndex or similar orchestration frameworks.
- Familiarity with Docker, Kubernetes and MLOps practices for deploying AI models.
- Experience working with cloud-based AI services (Azure, AWS or GCP).
- Strong problem-solving and debugging skills.
- Good to have experience with PyTorch, TensorFlow, Hugging Face Transformers.
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