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

Bespoke Labs

Machine Learning Engineer

Rochester, NY

About Us We are AI researchers and builders who understand how to curate data and RL environments ... for agent training. This means designing observation spaces, action spaces, reward signals, and ...

Bespoke Labs

Machine Learning Engineer

Geneseo, NY

About Us We are AI researchers and builders who understand how to curate data and RL environments ... for agent training. This means designing observation spaces, action spaces, reward signals, and ...

Bespoke Labs

Data Engineer

Rochester, NY

$113K - $136K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... for agent training. This means designing observation spaces, action spaces, reward signals, and ...

Bespoke Labs

Data Engineer

Geneseo, NY

$110K - $132K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... for agent training. This means designing observation spaces, action spaces, reward signals, and ...

Pwc

Senior Manager, Solution Architect

Rochester, NY

Architect applications with AI agent integration points, leveraging agentic AI frameworks (LangChain, Claude Agent SDK, Bedrock Agent SDK). Mentor engineering leaders and teams on AI-native practices ...

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All JobsAi Agent Developer JobsAi Agent Developer Jobs in Rochester, NY

Ai Agent Developer information

See Rochester, NY salary details

$28.6K

$47.3K

$98.2K

How much do ai agent developer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for ai agent developer in Rochester, NY is $47,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $50,300.00 per year, depending on experience, location, and employer.

What is an AI Agent Developer job?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI Agent Developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

Is AI agent developer a good career?

AI agent developer is a growing field focused on creating intelligent systems that can perform tasks autonomously. It typically requires skills in programming, machine learning, and data analysis, with job prospects improving as AI technology advances. The role offers opportunities in various industries such as tech, healthcare, and finance, often with competitive salaries and demand for specialized knowledge.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, AI research director, or chief AI officer, often found in large tech companies or specialized firms. These roles usually require advanced skills in machine learning, deep learning, and data science, along with extensive experience and sometimes advanced degrees. Compensation at this level may include base salary, bonuses, stock options, and other benefits, reflecting the role's seniority and impact.

What are the key skills and qualifications needed to thrive in the Ai Agent Developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How much does an AI agent developer make?

AI agent developers typically earn a salary ranging from $80,000 to $150,000 annually, depending on experience, location, and skill level. Professionals with expertise in machine learning, natural language processing, and programming languages like Python tend to command higher salaries, especially in tech hubs or companies with advanced AI projects.

Are AI agents replacing developers?

AI agents are tools that can assist developers by automating repetitive tasks and improving efficiency, but they are not replacing developers entirely. The role of a developer involves complex problem-solving, creativity, and decision-making that AI cannot fully replicate. Developers continue to be essential for designing, maintaining, and overseeing AI systems and other software projects.
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Ai Agent Developer jobs near you

Machine Learning Engineer

Bespoke Labs

Rochester, NY

Full-time

Posted 4 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

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