We are seeking a highly skilled Senior Gen-AI AI/ML Engineer to design, build, and deploy intelligent agentic systems that solve complex, real-world problems at enterprise scale. You will work on cutting-edge AI frameworks, multimodal pipelines, MCP-based infrastructures, and agent-driven workflows that combine autonomous reasoning with human-in-the-loop learning. This role is ideal for engineers who enjoy hands-on model development, production-grade deployments, and building advanced AI capabilities that directly impact business outcomes.
Role and Responsibilities
Agentic AI Systems Development
- Design and deploy intelligent, agent-driven systems that autonomously solve complex business problems using advanced AI algorithms.
- Engineer team-oriented multi-agent frameworks capable of coordinated reasoning and action for large-scale applications.
- Build and extend MCP-based infrastructure enabling secure, context-rich interactions between agents and external tools/APIs.
Human-in-the-Loop AI
- Develop workflows that combine agent autonomy with human oversight,



enabling continuous learning through feedback loops (e.g., RLHF, in-context correction).
AI/ML Engineering
- Build, fine-tune, train, and evaluate ML and deep-learning models using frameworks such as PyTorch and TensorFlow.
- Work with multimodal data pipelines (text, images, structured data) for embedding generation, feature extraction, and downstream tasks.
- Integrate models into production systems via APIs, inference pipelines, and monitoring tools.
Engineering Excellence
- Use Git, testing frameworks, and CI/CD processes to ensure high-quality, maintainable code.
- Document architectural decisions, trade-offs, and system behavior to support collaboration across teams.
- Stay updated with AI research trends and apply relevant advancements into product design.
Core Technical Skills
- Strong fluency in Python and Agentic frameworks.
- Solid understanding of ML fundamentals: optimization, representation learn

📌 Senior Gen AI Engineer (India)
🏢 Neoquant Solutions
📍 India