Focaloid Technologies - Generative AI Engineer

Description :

Key Responsibilities :

- Design and develop GenAI applications leveraging LLMs (OpenAI, Anthropic, LLaMA, Mistral, etc.) and frameworks.

- Build and optimize RAG pipelines using vector databases (Pinecone, Weaviate, FAISS, Milvus, Chroma).

- Implement prompt engineering, fine-tuning, and model evaluation to improve accuracy and business relevance.

- Develop and deploy AI agents, copilots, and workflow automation using multi-agent frameworks like LangGraph or Agno.

- Work with cloud platforms (AWS, Azure, GCP) to scale GenAI applications securely.

- Integrate AI models into enterprise systems via APIs, microservices, or SDKs.

- Research emerging AI models and frameworks to continuously improve solution quality.

- Ensure solutions meet compliance, explainability, and ethical AI standards.

Key Skills & Qualifications :

- Strong programming skills in Python (must-have), with experience in Node.js/Java as a plus.

- Hands-on experience with GenAI frameworks (LangChain, Haystack, LlamaIndex, RAG setups).

- Experience with fine-tuning and evaluating LLMs (Hugging Face, OpenAI, Mistral, etc.

- Knowledge of vector databases (Pinecone, FAISS, Weaviate, Milvus, Chroma).

- Cloud deployment experience on AWS (SageMaker, Bedrock), Azure (OpenAI Service), or GCP (VertexAI).

- Understanding of MLOps for GenAI CI/CD pipelines, model monitoring, retraining.

- Familiarity with multi-agent frameworks and conversational AI design.

- Strong problem-solving skills, with ability to translate business use cases into AI solutions.

Nice to Have :

- Exposure to speech-to-text (Whisper, Deepgram) and multimodal AI.

- Understanding of data engineering pipelines and ETL for AI.