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Description
Job Title: Senior Gen AI Engineer Location : Hyderabad Experience : 6–10 years Job Type : Full-time Reports To : Lead Data Scientist / Chief Scientist Job Overview We seek a Senior Gen AI Engineer with strong 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. Collaboration & Best Practices : Mentor junior team members on ML engineering best practices. Apply Agile/Scrum methodologies for project delivery. Required Skills & Qualifications Education : BS/BTech or Master's degree in Computer Science, Data Science, AI, or ML (or equivalent experience). Experience : 6+ years in ML + data engineering , with 2+ years in LLM/GenAI projects. 3+ years developing machine learning models. Technical Skills : Programming : Python. Foundation Model APIs : AzureOpenAI, OpenAI, Gemini, Anthropic, or AWS Bedrock. Agentic AI & LLM Frameworks : LangChain, LangGraph, A2A, MCP, Chains, Tools, Agents. Ability to design multi-agent systems, autonomous reasoning pipelines, and tool-calling capabilities for AI agents. MLOps/LLMOps : Docker , Kubernetes (K8s) , CI/CD , Automated Testing, Monitoring, Observability, Model Registries, Data Versioning. Cloud Platforms : AWS/Azure/GCP. Vector Databases : Pinecone, Weaviate, or similar leading platforms. Prompt Engineering . Security & Ethics : AI/LLM solution security, Responsible AI principles. Version Control : GitHub. Databases : SQL/NoSQL. Good to have : Reinforcement learning, multi-modal AI systems, complex reasoning frameworks (e.g., ReAct, Chain-of-Thought, planning algorithms). Experience in large-scale multi-agent coordination. Knowledge of deep learning frameworks such as PyTorch or TensorFlow. Experience with Feature Stores. Skills Matrix Candidates must submit a detailed resume and fill out the following matrix: Skill, Details, Skills Last Used, Experience (months), Self-Rating (0–10) Python (must) ML Engineering (must) SQL/NoSQL (must) LLM Frameworks (LangChain, LangGraph) (must) MLOps/LLMOps (Docker/K8s, CI/CD, Automated Testing, Monitoring, Observability, Model Registries, Data Versioning) (must) Cloud (AWS/Azure/GCP) (must) Vector Databases (e.g., Pinecone, Weaviate, or similar leading platforms) (must) Prompt Engineering (must) AI Agent Design (Chains, Tools) (must) A2A / MCP (highly preferred) GitHub (must) Security (AI/LLM, Responsible AI) Foundation Model APIs Reinforcement Learning Multi-modal AI systems Complex Reasoning Frameworks PyTorch / TensorFlow Feature Stores Instructions for Candidates : Provide a detailed resume highlighting projects related to LLMs, data engineering, MLOps, GenAI applications, and CI/CD with GitHub. Fill out the matrix above with accurate dates, experience duration, and self-ratings Please send your resume to jobs@SoothsayerAnalytics.com About Us: Soothsayer Analytics is a global AI & Data Science consultancy headquartered in Detroit, with a thriving delivery center in Hyderabad. We design and deploy end-to-end custom Machine Learning solutions—spanning predictive analytics, optimization, NLP, and GenAI—that help leading enterprises forecast, automate, and gain a competitive edge. Join us to tackle high-impact, cross-industry projects where your ideas move rapidly from concept to production, shaping the future of data-driven decision-making.
