Agentic AI Senior Engineer

Role Overview We are seeking an experienced and highly skilled Agentic AI Senior Engineer to lead the design, development, and deployment of cutting-edge agentic AI solutions. This role involves significant hands-on development in Python, architecting advanced multi-agent systems, and driving the adoption of generative AI platforms. The ideal candidate will possess deep technical expertise, contribute actively to an Agile team, and foster technical excellence.

Key Responsibilities Design, develop, and deploy large-scale agentic AI solutions using frameworks like Google ADK, LangChain, and LangGraph. Architect and implement multi-agent systems, integrating LLMs (OpenAI, Anthropic, Google Gemini) and AI-powered capabilities (Vertex AI, Google A2UI, RAG pipelines, vector databases). Engineer autonomous agents with planning, tool usage, memory management, and multi-step reasoning. Develop scalable Python backend services (FastAPI, asyncio) with resilient APIs and microservices. Build and maintain robust data pipelines (SQL, NoSQL) and secure REST APIs. Drive CI/CD practices, automated testing, MLOps, and containerization (Docker, Kubernetes) on cloud platforms (AWS, Azure, GCP). Provide technical guidance, ensure adherence to best practices, and mentor junior engineers.

Required Qualifications Experience: 5+ years in AI/ML development, applications development, or systems analysis, with a substantial focus on Python. Minimum 2+ years specifically in AI, prompt engineering, ML, or agentic AI systems. Proven experience as a lead developer for agentic flow design with Google ADK. Technical Skills: Python Expertise: Advanced knowledge of Python ecosystem (FastAPI, Django, Flask, asyncio, PySpark) for scalable, resilient applications. AI/ML/LLM: Deep expertise in LLMs (OpenAI GPT, Gemini, Claude, Llama), LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI. Exposure to TensorFlow, PyTorch, scikit-learn, and AI coding tools (Copilot, Devin). Databases: Experience with relational (PostgreSQL, Oracle, SQL Server) and NoSQL (MongoDB, Cassandra, Redis) databases. Proven experience with RAG systems and vector databases (Pinecone, Weaviate). Cloud & DevOps: Strong background in AWS, Azure, GCP, Docker, Kubernetes, CI/CD (Jenkins, GitLab CI, GitHub Actions), and MLOps. Software Engineering: Proficiency in secure REST API design, microservices, event-driven architecture, distributed systems, automated testing (Pytest, unittest), and modern version control (Git).

Desirable Qualifications Experience with Java development in enterprise contexts. Knowledge of modern frontend frameworks (React, Angular, Vue.js).

Education Bachelor’s degree in computer science, Engineering, or equivalent experience

Job Family Group: Technology

Job Family: Applications Development

Time Type: Full time

Most Relevant Skills Please see the requirements listed above.

Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.

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