What are the responsibilities and job description for the Artificial Intelligence Engineer position at ClifyX?
Role - AI Engineer : Typescript and Python, Gen AI, Agentic AI
Experience Required - 6 Years
Role Overview: Design, develop, and deploy scalable AI/ML and GenAI solutions to solve complex business problems. Work closely with data scientists, business stakeholders, and cloud teams to build production-grade AI systems.
Must Have Technical/Functional Skills
• 6 years of experience building large-scale distributed systems strong experience with LLM systems, agentic workflows or advanced ML infrastructure, async processing, queues, and streaming systems
• Experience working on Typescript and Python, Gen AI, Agentic AI
• Advanced proficiency in Python, Hands-on experience with PyTorch, TensorFlow, Hugging Face.
• Practical knowledge of model orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI), Familiarity with vector databases
• Experience with cloud platforms (AWS, Azure AI, Google Cloud Vertex AI) and containerization technologies
• Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.
• Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
• Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.
• Fluency with AI-assisted and agentic development workflows.
• Ability to influence technical direction and align teams without formal authority.
• Problem-solving, cross-functional collaboration, and the ability to articulate complex AI concepts to non-technical business stakeholders
Roles & Responsibilities
• Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.
• Design, build, and operate production-grade agentic AI systems used across multiple products.
• Own and evolve shared agentic AI capabilities, including:
• Design and Develop Agent frameworks and orchestration layers
• Planning, tool use, and memory strategies
• Design Retrieval and grounding (RAG) pipelines
• LLM infrastructure, inference, and model gateways
• Evaluation, observability, and safety tooling for autonomous systems
• Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.
• Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production.
• Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements.
Base Salary Range : $100,000 to $140,000 Per Annum
Salary : $100,000 - $140,000