Top 17 of thought prompting retrieval augmented generation generative Jobs

AI/ ML Software Engineer
Avanciers —Remote
- Full-time
- Remote
- Azure
- Computer Science
- 8 years
Quick Apply
19h
AI / ML Software Engineer
confenn —Remote
- $60 - $65 an hour
- Contract
- Remote
- Computer science
- Azure
- Computer Science
Quick Apply
2d
Sr. Technical Project Manager
Pyxl —Nashville, TN
- Remote
- 5 years
- Mentoring
- APIs
- Health savings account
- Health insurance
Agentic AI and Data Engineer
Booz Allen —Honolulu, HI
- $99,000 - $225,000 a year
- Full-time
- Computer Science
- Office
- Master's degree
- Health insurance
- Flexible spending account
Prompt Engineer
Tata Consultancy Services —Austin, TX
- $100,000 - $120,000 a year
- Mid-level
- Communication skills
- Python
Applied ML and Generative AI Lead - Vice President
JPMorganChase —Jersey City, NJ
- $164,350 - $260,000 a year
- Full-time
- Computer science
- 7 years
- Azure
- Health insurance
- Tuition reimbursement
Technical Architect (Pre-Sales) - All Levels
Salesforce —San Francisco, CA
- $148,190 - $255,150 a year
- Full-time
- Computer Science
- Java
- JavaScript
- Paid parental leave
- Disability insurance
AI Engineer
TEGNA Inc. —Tysons, VA
- Full-time
- 5 years
- Databases
- Trade school
- Paid holidays
- Disability insurance
Senior AI Engineer (Full-Stack)
9series —Seattle, WA
- Full-time
- Azure
- System design
- Mentoring
Kearney Activate Data and AI Solution Architect
Kearney —Boston, MA
- $130,000 - $190,000 a year
- Full-time
- Microsoft Excel
- Azure
- SQL
- Wellness program
- Health savings account
Engineer Lead - Assessments Applications
Law School Admission Council —Newtown, PA
- $125,000 - $133,000 a year
- Full-time
- Remote
- Computer Science
- 5 years
- Bachelor of Science
3h
Customer Engineer III, Applied AI, Google Cloud
Google —Mountain View, CA
- $174,000 - $253,000 a year
- Full-time
- Computer science
- Computer Science
- Office
- Paid holidays
- Disability insurance
21h
Engineer Lead – Prep and Driver Applications
Law School Admission Council —Newtown, PA
- $125,000 - $133,000 a year
- Full-time
- Computer Science
- 5 years
- Bachelor of Science
3h

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AI/ ML Software Engineer
Avanciers —Remote
Demonstrate hands-on engineering leadership: setting technical direction, making architecture decisions, conducting design and code reviews, mentoring junior…
Quick Apply
19h
AI / ML Software Engineer
confenn —Remote
Demonstrate hands-on engineering leadership: setting technical direction, making architecture decisions, conducting design and code reviews, mentoring junior…
$60 - $65 an hour
Quick Apply
2d

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of thought prompting retrieval augmented generation generative jobs near

AI/ ML Software Engineer

Avanciers
Remote

Quick Apply

Job Details

Full-time
19 hours ago

Qualifications

AI models
Containerization systems
Performance monitoring
TensorFlow
Software engineering
Software deployment
Coaching
System performance optimization
Software implementation
Public Cloud
AI platforms (beyond public GPTs)
Computational framework
Microservices
Technical solutions implementation
AWS
Machine intelligence
Managing engineering teams
Model deployment
Implementation (software development lifecycle)
Mentoring
Design engineering
Production monitoring
Monitoring system implementation
Engineering product development
Model training
API integrations
Machine learning libraries
Machine learning frameworks
Technical architecture
Design (software development lifecycle)

Full Job Description

Avanciers is seeking a highly skilled AI/ML Software Engineer to join our innovative technology team. In this role, you will develop, optimize, and deploy advanced artificial intelligence and machine learning models that drive our data-driven solutions..

Role: AI/ ML Software Engineer

Location – 100% Remote

Exp: 8 – 15 years of exp

Job responsibilities

Provide hands-on technical leadership by designing, developing, and deploying ML/LLM/GenAI solutions from concept through production, maintaining ownership for reliability and operability once deployed
Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.
Mentor and uplift junior engineers through design reviews, code reviews, pairing, and coaching, raising engineering quality and delivery discipline across the team. You will build and institutionalize MLOps capabilities, including automated pipelines for deployment, monitoring, and model lifecycle management, with emphasis on scalability and reliability
Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation.
Conduct thorough evaluations of generative models (e.g., GPT-4.1), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications.
Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences.
Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.

Required qualifications, capabilities, and skills

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
10+ years of engineering experience, including 3-5+ years building, deploying, and operating applied AI/ML systems in production (model lifecycle, MLOps, monitoring, and governance).
Demonstrate hands-on engineering leadership: setting technical direction, making architecture decisions, conducting design and code reviews, mentoring junior engineers, and guiding implementation quality across multiple workstreams
Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.
Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.

Preferred qualifications, capabilities, and skills

Familiarity with the financial services industries.
Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.

#INDUS

Work Location: Remote

Quick Apply

Refine Your Search

of thought prompting retrieval augmented generation generative jobs

AI/ ML Software Engineer

AI / ML Software Engineer

Sr. Technical Project Manager

Agentic AI and Data Engineer

Prompt Engineer

Applied ML and Generative AI Lead - Vice President

Technical Architect (Pre-Sales) - All Levels

AI Engineer

Senior AI Engineer (Full-Stack)

Kearney Activate Data and AI Solution Architect

Engineer Lead - Assessments Applications

Customer Engineer III, Applied AI, Google Cloud

Engineer Lead – Prep and Driver Applications

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