Entry Level Conversational AI Engineer Jobs
New grad conversational ai engineer jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project often carries more weight than years on a resume. Most openings are on-site, remote, and hybrid roles across Retail, Technology & Software, and E-Commerce & Online Marketplaces, with employers like Amazon, Walgreens, and PEBL hiring at this level now.
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Showing 5 of 10+ Entry Level Conversational AI Engineer jobs
DESCRIPTION
A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Scientist, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with other scientists and engineers to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.
Key job responsibilities
- Improve the efficiency of LLM, VLM, and agent training and evaluation pipelines, including distributed training, inference serving, data loading, checkpointing, memory usage, and GPU utilization.
- Design, implement, and evaluate novel approaches to LLM fine-tuning, alignment (RLHF, DPO), and distillation for production deployment
- Architect agentic systems — multi-step reasoning, tool use, planning, and orchestration
- Develop evaluation frameworks and methodologies that go beyond standard benchmarks to capture real-world conversational quality
- Translate research advances into customer-facing products, working closely with engineering, product, and cross-functional science teams
- Publish results at top-tier venues and represent Amazon in the broader research community
About the team
Alexa AI is building the science and technology behind Alexa+, Amazon's next-generation conversational assistant. Our team works at the intersection of large language models, reinforcement learning, agentic architectures, and multilingual/multimodal understanding. We operate at massive scale — our models serve customers across dozens of languages and device types. If you want to push the frontier of conversational AI and see your work used by people every day, come join us.
BASIC QUALIFICATIONS
- Master's degree or above in computer science, machine learning, engineering, or related fields
- 3+ years of programming in Java, C++, Python or related language experience
- 1+ years experience with distributed training frameworks such as VeRL, Megatron, FSDP, DeepSpeed, Ray, or similar systems, and inference engines such as vLLM, TensorRT-LLM, Triton, SGLang, TGI.
- 3+ years’ experience with modeling languages and tools like PyTorch / TensorFlow, R, scikit-learn, numpy, scipy, etc.
- Solid ML background and familiar with NLU, NLG, and LLM training and evaluation.
PREFERRED QUALIFICATIONS
- PhD in computer science, machine learning, engineering, or related fields
- 3+ years experience with distributed training frameworks such as verl, Megatron, FSDP, DeepSpeed, Ray, or similar systems, and inference engines such as vLLM, TensorRT-LLM, Triton, SGLang, TGI.
- Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI, etc.)
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually
DESCRIPTION
A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Scientist, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with other scientists and engineers to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.
Key job responsibilities
- Improve the efficiency of LLM, VLM, and agent training and evaluation pipelines, including distributed training, inference serving, data loading, checkpointing, memory usage, and GPU utilization.
- Design, implement, and evaluate novel approaches to LLM fine-tuning, alignment (RLHF, DPO), and distillation for production deployment
- Architect agentic systems — multi-step reasoning, tool use, planning, and orchestration
- Develop evaluation frameworks and methodologies that go beyond standard benchmarks to capture real-world conversational quality
- Translate research advances into customer-facing products, working closely with engineering, product, and cross-functional science teams
- Publish results at top-tier venues and represent Amazon in the broader research community
About the team
Alexa AI is building the science and technology behind Alexa+, Amazon's next-generation conversational assistant. Our team works at the intersection of large language models, reinforcement learning, agentic architectures, and multilingual/multimodal understanding. We operate at massive scale — our models serve customers across dozens of languages and device types. If you want to push the frontier of conversational AI and see your work used by people every day, come join us.
BASIC QUALIFICATIONS
- Master's degree or above in computer science, machine learning, engineering, or related fields
- 3+ years of programming in Java, C++, Python or related language experience
- 1+ years experience with distributed training frameworks such as VeRL, Megatron, FSDP, DeepSpeed, Ray, or similar systems, and inference engines such as vLLM, TensorRT-LLM, Triton, SGLang, TGI.
- 3+ years’ experience with modeling languages and tools like PyTorch / TensorFlow, R, scikit-learn, numpy, scipy, etc.
- Solid ML background and familiar with NLU, NLG, and LLM training and evaluation.
PREFERRED QUALIFICATIONS
- PhD in computer science, machine learning, engineering, or related fields
- 3+ years experience with distributed training frameworks such as verl, Megatron, FSDP, DeepSpeed, Ray, or similar systems, and inference engines such as vLLM, TensorRT-LLM, Triton, SGLang, TGI.
- Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI, etc.)
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually
See All 10 Entry Level Conversational AI Engineer Jobs
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Find JobsEntry Level Conversational AI Engineer Job Market
Who's Hiring
- Amazon4
- Walgreens3
- PEBL1P
- Known1
- Regions Financial1
Top Industries Hiring
- Retail7
- Technology & Software4
- E-Commerce & Online Marketplaces4
- Media & Entertainment1
- Banking & Financial Services1
Entry Level Conversational AI Engineer Jobs: Frequently Asked Questions
How do I get an entry level conversational ai engineer job?
Build a portfolio that shows you can design, train, and evaluate conversational systems, even if those projects are personal or academic. Employers at the entry level look for hands-on experience with natural language processing frameworks, familiarity with dialogue management tools, and the ability to iterate on bot behavior using user feedback. Internship work, capstone projects, and open-source contributions all help demonstrate practical readiness.
Which companies hire entry level conversational ai engineers?
Companies hiring entry level conversational ai engineers right now include Amazon, Walgreens, and PEBL, based on current listings on Migrate Mate as of July 2026. At this level, hiring comes from a range of employers, including enterprise technology firms, startups building AI-powered products, and large organizations embedding conversational tools into customer service or internal workflows.
Are there remote entry level conversational ai engineer jobs?
Yes, remote and hybrid options are available at the entry level, though on-site roles remain common. About 0% of entry level conversational ai engineer openings are remote or hybrid as of July 2026, so candidates without a preference for a specific city can still find strong opportunities without relocating.
Are these new grad conversational ai engineer jobs?
Yes, many of these listings are new grad friendly and are open to recent graduates and junior candidates. A new grad posting typically welcomes zero to two years of experience and accepts internships, coursework, or a portfolio in place of full-time work history. Look for language like 'entry level,' 'new grad,' or 'we will train' as signals that the employer is open to candidates starting out.
Which industries hire the most entry level conversational ai engineers?
Entry Level conversational ai engineer roles concentrate in Retail, Technology & Software, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at the entry level because they are actively building or scaling conversational AI products and need junior talent who can contribute to model development, testing, and deployment pipelines.