About 2T Consulting
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Edison, NJ, US
Job description
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 GraphQL
- Domain-Driven Design (DDD)
- Agile methodologies
- AI evaluation frameworks
- CI/CD and automated testing
- Experience working in collaborative, in-person engineering environments
twotconsulting.com
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Python Engineer?
A: To succeed as a Python Engineer, key technical skills include proficiency in Python programming language, experience with popular libraries and frameworks such as NumPy, pandas, and Flask or Django, as well as knowledge of data structures, algorithms, and software design patterns. Additionally, strong problem-solving skills, attention to detail, and the ability to collaborate effectively with cross-functional teams are essential soft skills that contribute to success in this role. By combining technical expertise with strong communication and teamwork skills, Python Engineers can effectively design, develop, and deploy scalable and efficient software solutions, driving career growth and effectiveness in the field.
Q: What is the career path for a Python Engineer?
A: A Python Engineer's typical career progression involves starting as a Junior Python Developer, where they focus on writing clean, efficient, and well-documented code, and collaborating with cross-functional teams to deliver projects. As they gain experience, they can move into mid-level roles such as Senior Python Developer or Technical Lead, where they take on more complex projects, mentor junior engineers, and contribute to technical architecture decisions. Ultimately, senior Python Engineers can transition into leadership positions like Engineering Manager or Technical Director, or pursue specialized roles like Data Scientist or DevOps Engineer, leveraging their expertise in Python and software development to drive business growth and innovation.
