PYTHON AGENTIC AI ENGINEER
VeriiPro · New York, NY · Yesterday
EngineeringContract
We are seeking a Python Agentic AI Engineer to design, build, and deploy scalable AI agent and backend solutions. The role combines Python, agentic AI, LLMs, RAG, AWS, APIs, microservices, and event-driven architectures to deliver production-ready AI applications. Roles and Responsibilities Design and develop autonomous and multi-agent solutions using Google ADK or Agent SDK.Build agent workflows, tool calling, orchestration, and context management capabilities.Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques.Develop RAG solutions using embeddings and vector databases.Build and integrate REST APIs, microservices, and event-driven architectures.Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL.Deploy and manage cloud-native applications on AWS.Support data pipelines/ETL, application security, scalability, and resilience.Implement AI observability, evaluation, security, governance, and guardrails.Apply Domain-Driven Design (DDD), agile methodologies, testing, and code-review best practices.Collaborate with product, engineering, data science, design, and business teams. Required Skills & Experience 7+ years of professional software engineering/system architecture experience.Strong expertise in Python, particularly Django and GraphQL.Hands-on experience with AI agent development using Google ADK or Agent SDK.Strong experience with LLM integration, prompt engineering, and agent orchestration.Experience with Gemini/OpenAI models, tool calling, function calling, structured outputs, and grounding.Hands-on experience building RAG applications, vector databases, and embeddings.Strong experience with AWS cloud-native application development.Experience with REST APIs, microservices, SOA, and event-driven architectures.Experience with PostgreSQL and data pipelines/ETL.Knowledge of AI observability, evaluation, security, governance, and guardrails.Strong understanding of scalable, resilient, and production-ready system architecture.Strong collaboration and communication skills. Preferred Skills React and Apollo GraphQLDomain-Driven Design (DDD)Agile methodologiesAI evaluation frameworksCI/CD and automated testingExperience working in collaborative, in-person engineering environments