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Entry Level Ai Developer Jobs in Buffalo, NY (NOW HIRING)

Junior Software Developer - Observability

Buffalo, NY · On-site

$64.90K - $84.30K/yr

... AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and ... Seniority level Entry level Employment type Full‐time Job function Engineering and Information ...

Junior Software Developer

Buffalo, NY · On-site

$64.90K - $84.30K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python ... AI, LLM, Python, Computer Vision, data visualization tools Excellent written and verbal ...

We are continuously looking for entry-level software programmers, Java full stack developers ... For data science/data analyst/AI/machine learning positions preferred skills include an associate ...

Entry Level Ai Developer information

See Buffalo, NY salary details

$28.6K

$97.1K

$233.9K

How much do entry level ai developer jobs pay per year?

As of May 28, 2026, the average yearly pay for entry level ai developer in Buffalo, NY is $97,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $102,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level AI Developer, and why are they important?

To thrive as an Entry Level AI Developer, you need a solid grasp of programming languages like Python, foundational knowledge in mathematics and statistics, and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and cloud platforms is typically expected. Strong problem-solving skills, teamwork, and a willingness to learn are crucial soft skills for this role. These competencies enable you to contribute effectively to AI projects, adapt to evolving technologies, and collaborate well with multidisciplinary teams.

What types of projects and tasks can an Entry Level AI Developer expect to work on in their first year?

As an Entry Level AI Developer, you can expect to work on a variety of foundational tasks such as data preprocessing, implementing and testing machine learning models, and supporting senior developers with code maintenance. You may be involved in gathering and cleaning data, conducting exploratory data analysis, and assisting with model evaluation and performance tuning. Collaboration with data scientists, engineers, and product teams is common, as you’ll help integrate AI solutions into existing systems or applications. This hands-on experience is valuable for building technical skills and understanding the full AI development lifecycle.

What does an Entry Level AI Developer do?

An Entry Level AI Developer assists in designing, developing, and implementing artificial intelligence models and systems under the guidance of senior engineers. Their responsibilities often include data preprocessing, coding algorithms, testing AI solutions, and collaborating with cross-functional teams. They typically work with programming languages like Python, utilize machine learning libraries, and help improve model accuracy. This role provides foundational experience for building a career in AI and machine learning.

What is the difference between Entry Level Ai Developer vs Data Analyst?

AspectEntry Level Ai DeveloperData Analyst
Required CredentialsBachelor's in CS, AI, or related field; knowledge of programming languages like PythonBachelor's in Statistics, Math, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, AI startups, R&D departmentsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageDevelop AI models, machine learning algorithms, and automation toolsAnalyze data trends, generate reports, and support decision-making

While both roles require strong analytical skills and programming knowledge, Entry Level Ai Developers focus on creating AI models and algorithms, often in tech-driven environments. Data Analysts interpret data to inform business decisions, working across various industries. The roles overlap in data handling and technical skills but differ in their core objectives and tools used.

What are the most commonly searched types of Ai Developer jobs in Buffalo, NY? The most popular types of Ai Developer jobs in Buffalo, NY are:
What are popular job titles related to Entry Level Ai Developer jobs in Buffalo, NY? For Entry Level Ai Developer jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Developer jobs in Buffalo, NY look for? The top searched job categories for Entry Level Ai Developer jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Entry Level Ai Developer jobs? Cities near Buffalo, NY with the most Entry Level Ai Developer job openings:
Infographic showing various Entry Level Ai Developer job openings in Buffalo, NY as of May 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $97,124 per year, or $46.7 per hour.
Entry Level Java/DevOps Developer - Remote/Data Scientisit/AI engineer

Entry Level Java/DevOps Developer - Remote/Data Scientisit/AI engineer

SynergisticIT

Buffalo, NY • On-site, Remote

Other

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


Job description

SynergisticIT Job Posting

Failing tech interviews? Or no interviews? Let's get you offers! Every job posting attracts hundreds or thousands of applicants, making it nearly impossible to stand out. Most job seekers blame their resume when they don't get interviews, but the real issue is positioning. A degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real-world scenarios. Employers want candidates who demonstrate practical skills, confidence, and readiness. SynergisticIT gives you the tools to rise above the noise. Getting hired in tech isn't just about knowing how to code — it's about proving you can deliver value from day one. Getting interviews but not converting them into offers is one of the most frustrating stages of a tech job search. It's also one of the most fixable—because interview performance is rarely about intelligence. It's usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test. Many candidates learn coding, but they don't learn how to present their skills under pressure. SynergisticIT is designed for candidates who want to stop guessing and start improving with a clear framework. Since 2010, SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employers—companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and many more—with offers often ranging from $95,000 to $154,000 depending on role and skill depth. The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear. Why do people fail interviews after doing CS or online courses? Typically it's one (or several) of these gaps:

  1. Weak fundamentals (you know syntax, but not the "why")
  2. Poor project explanation (you built something, but can't defend design decisions)
  3. Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy)
  4. No repetition under pressure (whiteboard/online assessments feel unfamiliar)
  5. Lack of structured mock interview practice

SynergisticIT addresses these gaps by treating interviews as a skill you work on—like a sport. You don't just watch videos; you practice real drills. We emphasize on real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work. What kinds of roles are being targeted? Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer. In other words, the program builds candidates across Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data Science/Machine Learning/AI—because companies hire teams, not single-skill candidates. Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews, and F1/OPT candidates needing a stable path. SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes). Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT If you're already getting interviews, you're closer than you think. Now it's time to train like you mean it—and turn interviews into offers. If you want to explore, here are the key links:

  • Event videos (OCW, JavaOne, Gartner):
  • USA Today feature
  • Contact Form (Get Started): https://www.synergisticit.com/contact-us/

Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.