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

AI Engineer

Rochester, NY · On-site

$50K - $112K/yr

... agent harnesses and implementing context engineering, memory management, retry logic, and structured output validation to support reliable, multi-step AI workflows - Demonstrating proficiency in ...

AI Solutions Engineer

Rochester, NY · On-site

$120 - $150/hr

Develop AI agents and multi-agent orchestration systems using frameworks like LangChain, LlamaIndex ... and context management * Implement prompt engineering strategies, few-shot learning, and fine ...

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 ...

As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high ...

... new AI agent. They work with technical experts in integration and process engineering to solve ... Demonstrate project management skills, such as defining milestones and estimating timelines to ...

AI Automation Engineer

Rochester, NY · On-site

$125 - $145/hr

... Ops manager, asking dumb questions, and walking away with a plan. * A portfolio that speaks for ... Experience with MCP, A2A, or agent frameworks. * Snowflake, Sigma, or modern analytics stack ...

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Manager Ai Agent Engineer information

See Rochester, NY salary details

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How much do manager ai agent engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for manager ai agent engineer in Rochester, NY is $55.25, according to ZipRecruiter salary data. Most workers in this role earn between $39.62 and $73.51 per hour, depending on experience, location, and employer.

What is the difference between Manager Ai Agent Engineer vs Data Scientist?

AspectManager Ai Agent EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI/ML toolsBachelor's or Master's in CS, Statistics, or related fields; proficiency in data analysis and modeling
Work EnvironmentDeveloping, deploying, and managing AI agents; cross-functional teamsAnalyzing data, building models, and deriving insights; research-focused
Employer & Industry UsageTech companies, AI startups, enterprises implementing AI solutionsTech firms, finance, healthcare, research institutions

The Manager Ai Agent Engineer focuses on leading AI agent development and deployment, managing teams, and ensuring AI solutions meet business needs. In contrast, Data Scientists primarily analyze data, build predictive models, and generate insights. Both roles require strong technical skills, but their core responsibilities and work environments differ significantly.

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

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

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

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

AI Agent Trajectory Annotator and Reviewer

Bespoke Labs

Geneseo, NY • On-site

$20 - $30/hr

Full-time

Posted 3 days ago

New


Job description

Type: Contract, hourly

Location: Remote

Hours: 20–30 per week

Pay: $20–30/hour, based on experience and language coverage

Start: Immediate

ABOUT THE ROLE

We evaluate how well advanced AI coding agents solve real engineering problems. An agent is given a real open source codebase inside a container and a hard task, then works on its own for 80 to 250 steps. A trajectory is the full record of that run — every command, result, and decision.

You will do two jobs, and you should expect either on any given day.

•Annotate — Read a trajectory nobody has looked at yet and judge it step by step.

• Review — Take an existing annotation, written by our AI tooling or another person, and confirm, correct, or reject it.

TASKS YOU'LL SEE

• Feature build — Add a working feature to a live library without breaking anything that already worked.

• Rebuild — Work out what a compiled tool does by running it, then rebuild it to match its output, exit codes, and file effects.

• Bug hunt — Find and fix twenty undocumented bugs across a dozen files with no test suite, then record what caused them.

Mostly Python and Go, with some Rust, C, and Ct+. A trajectory runs about 100 steps.

WHAT YOU JUDGE IN A TRAJECTORY

• Was the command right for the state the environment was actually in?

• Did the agent read the previous output correctly?

• Was the step wrong, or only inefficient — these are scored differently.

• Where did the run first go off course — usually earlier than where it visibly broke.

• Did the agent notice its own mistake and recover, or keep building on a false assumption?

• Did it game the grader instead of solving the task (e.g., weakening a test or hardcoding an expected value)?

WHAT WE NEED FROM YOU

• Experience — 2+ years in software engineering, DevOps, or site reliability, with real debugging in real codebases.

• Languages — Strong in Python or Go, and able to read a language you've never used.

• Linux — Comfortable with logs, running processes, build failures, and containers.

• Workflow — Everyday Git, diffs, pull requests, and issue tracking.

• Debugging — Able to work with no test suite and no error message pointing at the cause.

• Focus — Able to hold context across a long run, because step 74 can depend on step 12.

• Writing — Clear English, since every judgement needs an explanation another engineer can check.