AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the complete development cycle of AI/ML models, from data ingestion and preprocessing to model training, evaluation, deployment, and monitoring.

• Create generative-AI solutions (RAG, Agentic Workflows, MCP Servers, Conversation AI Agents) that align with business objectives.

• Collaborate closely with data engineering teams to develop and sustain data pipelines, feature stores, and orchestration frameworks.

• Design and integrate AI models into production systems, including APIs, microservices, and cloud deployments.

• Enhance models and solutions for optimal performance, scalability, robustness, and cost-effectiveness.

• Observe the performance of models and solutions in production (including drift, bias, fairness, and reliability) and enact necessary remediation measures.

• Maintain documentation on model design, experiments, data lineage, and the rationale behind solutions.

• Keep up-to-date with the latest AI/ML research, frameworks, and tools (such as LangChain, LangGraph, MCP Clients/Servers, Agents SDKs, LiveKit, etc.) and suggest innovative concepts.

• Engage directly with clients to comprehend problem statements, convert business requirements into AI solutions, and effectively communicate results.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

• More than 3 years of practical experience in AI/ML model development and deployment.

• Proficient programming skills in Python and experience with major ML/AI frameworks (such as TensorFlow, PyTorch, scikit-learn, LangChain, LangGraph).

• Familiarity with vector databases (e.g., Pinecone, FAISS), RAG, and Agentic workflows.

• Experience in building or fine-tuning Large Language Models (LLMs).

• Proven experience in deploying models into production, including the development of REST APIs, microservices, and monitoring.

• Acquainted with Text-to-Speech and Speech-to-Text models/solutions such as Deepgram, ElevenLabs, Cartesia, etc.

• Background in computer vision, time-series modeling (ARIMA, Prophet), or multimodal AI.

• Knowledge of MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker).

• Solid understanding of algorithms, data structures, statistics, and the fundamentals of machine learning (including classification, regression, clustering, deep learning, and sequence models).

• Capability to thrive in a fast-paced, dynamic environment and adjust to shifting priorities.

• Contributions to publications, open-source projects, or personal endeavors in the AI/ML field.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work options.

• Opportunities for professional development and continuous learning.

• Engaging and collaborative work environment.