AI Engineer - Litmus7 System Consulting

Key Responsibilities

• Design, develop, and deploy machine learning models for supervised, unsupervised, deep learning, and reinforcement learning tasks.
• Implement NLP solutions including language models, text generation, sentiment analysis, and other text‑centric applications.
• Create generative AI products (text, image, audio synthesis) using diffusion models, transformers, and other state‑of‑the‑art techniques.
• Build and maintain agentic AI systems, integrating frameworks such as Langgraph, ADK, and Autogen to deliver real‑world applications.
• Establish end‑to‑end MLOps pipelines for model training, validation, deployment, monitoring, and continuous improvement.
• Collaborate with cross‑functional teams to translate business requirements into scalable AI solutions.

Requirements

• Proven experience in machine learning, NLP, and generative AI.
• Hands‑on expertise with agentic AI frameworks (Langgraph, ADK, Autogen).
• Strong background in MLOps, including CI/CD, model serving, and monitoring.
• Proficiency in Python and related ML libraries (PyTorch, TensorFlow, Hugging Face).
• Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.