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.
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.
Recommended Qualifications:
- Experience: 6- 7+ 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).
Education:
- Bachelor’s degree/University degree or equivalent experience
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
- Experience with Java development in enterprise contexts.
- Knowledge of modern frontend frameworks (React, Angular, Vue.js).
- Understanding of financial services industry domain.
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Job Family Group:
Technology
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Job Family:
Applications Development
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Time Type:
Full time
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Most Relevant Skills
Please see the requirements listed above.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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