We seek a Senior Gen AI Engineer with solid ML fundamentals and data engineering expertise to lead scalable AI/LLM solutions.
- This role focuses on integrating AI models into production, optimizing machine learning workflows, and creating scalable AI-driven systems.
- You will design, fine-tune, and deploy models (e.g., LLMs, RAG architectures) while ensuring robust data pipelines and MLOps practices.
- Key Responsibilities Agentic AI & Workflow Design: Lead design and implementation of Agentic AI systems and multi-step AI workflows.
- Build AI orchestration systems using frameworks like LangGraph.
- Utilize Agents, Tools, and Chains for complex task automation.
- Implement Agent-to-Agent (A2A) communication and Model Connect Protocol (MCP) for inter-model interactions.
- Production MLOps & Deployment: Develop, train, and deploy ML models optimized for production.
- Implement CI/CD pipelines (GitHub), automated testing, and robust observability (monitoring, logging, tracing) for Gen AI solutions.




- Containerize models (Docker) and deploy on cloud (AWS/Azure/GCP) using Kubernetes.
- Implement robust AI/LLM security measures and adhere to Responsible AI principles.
- AI Model Integration: Integrate LLMs and models from HuggingFace.
- Apply deep learning concepts with PyTorch or TensorFlow.
- Data & Prompt Engineering: Build scalable data pipelines for unstructured/text data.
- Design and implement embedding/chunking strategies for scalable data processing.
- Optimize storage/retrieval for embeddings (e.g., Pinecone, Weaviate).
- Utilize Prompt Engineering techniques to fine-tune AI model performance.
- Solution Development: Develop GenAI-driven Text-to-SQL solutions.
- 6+ years in ML + data engineering , with 2+ years in LLM/GenAI projects. 3+ years developing machine learning models. _

📌 Senior Gen AI Engineer (Hyderabad)
🏢 Soothsayer Analytics
📍 Hyderabad