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Ai Agent Engineer Jobs in Rochester, NY (NOW HIRING)

We are seeking a Python Agentic AI Engineer to design, build, and deploy scalable AI agent and ... Build agent workflows, tool calling, orchestration, and context management capabilities.

We are seeking a Python Agentic AI Engineer to design, build, and deploy scalable AI agent and ... Build agent workflows, tool calling, orchestration, and context management capabilities.

AI Solutions Engineer

Rochester, NY · On-site

$120 - $150/hr

Develop AI agents and multi-agent orchestration systems using frameworks like LangChain, LlamaIndex ... Implement prompt engineering strategies, few-shot learning, and fine-tuning approaches for domain ...

AI Engineer

Rochester, NY · On-site

$50K - $112K/yr

... agent workflows using frameworks such as LangGraph to automate multi-step reasoning, integrate tools and APIs, and deliver scalable, context-aware solutions - Applying generative AI techniques ...

Mold Design Engineer Location: Rochester, NY Employment: Direct Placement Industry: Medical ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

... internal AI platform. As a senior engineering owner, you will take full ownership of the ... Agent Infrastructure - Design and build the shared platform for internal automation teams, covering ...

Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning. * Ensure all tasks reflect the complexity and depth of real-world ...

... new AI agent. They work with technical experts in integration and process engineering to solve ... complex technical problems that contribute to yield loss, and map business processes to innovate ...

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Ai Agent Engineer information

See Rochester, NY salary details

$25

$52

$75

How much do ai agent engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for ai agent engineer in Rochester, NY is $52.92, according to ZipRecruiter salary data. Most workers in this role earn between $42.69 and $61.44 per hour, depending on experience, location, and employer.

What is an AI Agent engineer?

An AI Agent Engineer designs, develops, and optimizes autonomous AI agents that can perceive, reason, and act within digital or real-world environments. They work with machine learning, reinforcement learning, and natural language processing to build intelligent systems that interact dynamically with users and other agents. These engineers often integrate AI models with APIs, databases, and software applications to create functional and scalable AI-driven solutions. Their role bridges software engineering and artificial intelligence, ensuring agents operate efficiently and adaptively in various use cases.

What are the key skills and qualifications needed to thrive as an AI Agent engineer?

To excel as an AI Agent Engineer, you need a robust background in computer science, machine learning, and software engineering, often supported by a degree in a STEM field. Familiarity with programming languages like Python, relevant AI frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are typically expected, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, effective communication, and teamwork skills are essential soft skills for collaborating on complex AI projects. These competencies ensure you can design, implement, and refine intelligent agents that meet real-world challenges and deliver business value.

What are some typical challenges faced by AI Agent engineers in their day-to-day work?

AI Agent Engineers often encounter challenges such as optimizing agent performance for real-time environments, integrating new algorithms without disrupting existing systems, and ensuring their models can handle diverse and dynamic real-world data. Troubleshooting unexpected behaviors or edge cases and keeping up with rapidly evolving research in artificial intelligence can also be demanding. Working closely with product managers, data scientists, and software developers helps address these challenges, making collaboration and adaptability key components of daily tasks. Overcoming these issues offers valuable learning opportunities and contributes to the growth of robust, innovative AI solutions.

What are the most commonly searched types of Ai Agent Engineer jobs in Rochester, NY?

The most popular types of Ai Agent Engineer jobs in Rochester, NY are:

What are popular job titles related to Ai Agent Engineer jobs in Rochester, NY?

For Ai Agent Engineer jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Ai Agent Engineer jobs in Rochester, NY look for?

The top searched job categories for Ai Agent Engineer jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Ai Agent Engineer jobs?

Cities near Rochester, NY with the most Ai Agent Engineer job openings:

Infographic showing various Ai Agent Engineer job openings in Rochester, NY as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $110,065 per year, or $52.9 per hour.

Python Agentic AI Engineer

2T Consulting

York, NY • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


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