AI Engineer_Agentic AI
Core
Design, develop, and deploy scalable agentic AI systems and full-stack applications integrating generative AI models for banking, financial, and energy clients.
Role type
Senior IC Agentic AI Engineer
Builds
Intelligent autonomous agents, multi-agent systems, and full-stack applications exposing AI functionalities
Domain
Financial services, Energy, Generative AI, Agentic AI
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, NoSQL, LLMs, RAG, prompt engineering, LangChain, AutoGen, Semantic Kernel, Crew AI, Model Context Protocol (MCP), React/Angular/Vue.js, Flask/Django/FastAPI, Node.js/Go, AWS/Azure/GCP, LLMOps/MLOps, CI/CD
Preferred skills
Snowflake Cortex
Technologies
LangChain, AutoGen, Semantic Kernel, Crew AI, PostgreSQL, MySQL, MongoDB, Cassandra, React, Angular, Vue.js, Flask, Django, FastAPI, Node.js, Go, AWS, Azure, GCP
Responsibilities
Develop scalable Python applications focused on GenAI; Design, develop, and fine-tune applications built around foundation models; Implement and experiment with generative AI techniques including RAG and prompt engineering; Lead the implementation of intelligent autonomous agents and multi-agent systems; Utilize and contribute to agentic AI frameworks; Develop and integrate Model Context Protocol (MCP) solutions; Lead the development of full-stack applications that integrate generative AI models and agentic systems; Design and implement scalable RESTful APIs and microservices; Deploy, manage, and optimize AI/ML workloads and full-stack applications on cloud platforms; Implement LLMOps/MLOps and DevOps best practices.
Seniority
Mid-to-Senior, hands-on IC