AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Prompt Engineer
Latitude is a no-code platform that empowers users to build custom autonomous AI agents using natural language for automating complex tasks.
Experience Requirements:
Skilled communicator with strong written clarity and creative problem-solving
Understanding of LLM mechanics-tokenization, context windows, bias, optimization-not necessarily deep ML engineering
Familiarity with Python or scripting for prompt automation and evaluation (preferred)
Experience with prompt design, RAG workflows, or prompt optimization strategies is a plus
Other Requirements:
Alignment with Huntridge Labs' culture: proactive, collaborative, mission-driven, adaptable
Responsibilities:
Collaborate with cross-functional teams to identify AI integration opportunities
Craft and optimize prompts tailored to large language models (LLMs) like GPT, Gemini, etc., ensuring precision, context, and bias mitigation
Test prompt variations, evaluate outputs, and iterate to improve performance in metrics such as accuracy, relevance, and safety
Embed domain-specific context (government, defense, healthcare) into prompts for tailored business solutions
Document prompting techniques and build reusable "PromptOps" workflows or libraries
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Prompt Engineer (Intern)
Latitude is a no-code platform that empowers users to build custom autonomous AI agents using natural language for automating complex tasks.
Education Requirements:
Background in Computer Science, Linguistics, Communication, or related fields (preferred but not mandatory)
Experience Requirements:
Passion for AI, chatbots, or software development tools
Strong command of English (other languages a plus)
Analytical and creative problem-solving skills
Curious mindset with willingness to experiment and iterate
Basic coding knowledge (Python, JavaScript, or similar)
Responsibilities:
Design, write, and refine prompts to improve AI response quality
Experiment with different prompting techniques to achieve consistent outputs
Collaborate with product and engineering teams to align chat output with user needs
Document prompt strategies, guidelines, and best practices
Assist in evaluating model performance with real user queries
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Prompt Engineer
Latitude is a no-code platform that empowers users to build custom autonomous AI agents using natural language for automating complex tasks.
Experience Requirements:
Hands-on, mid-senior-level experience with OpenAI and prompt engineering
Strong ability to manage multiple projects under tight deadlines
Excellent attention to detail with focus on accuracy and consistency
Strong written and verbal communication skills
Background in the financial services industry
Responsibilities:
Design, refine, and manage advanced prompts for OpenAI models to support sales workflows
Ingest and transform large datasets into structured outputs
Automate processes to quickly generate and export polished client-ready deliverables
Partner with sales teams to provide AI-driven strategy recommendations
Ensure security and compliance standards are maintained across workflows
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Prompt Engineer - NYC, NY - Onsite
Latitude is a no-code platform that empowers users to build custom autonomous AI agents using natural language for automating complex tasks.
Education Requirements:
Bachelor's degree preferably in Computer Science, Information technology, Computer Engineering, or related IT discipline or equivalent experience
Experience Requirements:
12+ Minimum Experience
Proven experience working with large language models (e.g., OpenAI GPT-4, Claude, etc.)
Strong written and verbal communication skills
Understanding of financial concepts or previous experience in banking/finance is preferred
Familiarity with Python, APIs, or AI/ML workflows is a plus
Other Requirements:
Ability to work independently and in a fast-paced, highly collaborative environment
Responsibilities:
Develop, test, and iterate high-quality prompts to optimize LLM performance across internal use cases
Collaborate with product, data, and business teams to translate complex financial or operational requirements into effective prompts
Analyze model outputs and identify opportunities for improvement in prompt design or data input
Stay updated on the latest LLM capabilities and trends to drive innovation within the organization
Document prompt engineering strategies, experiment results, and best practices
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Prompt Engineer
Latitude is a no-code platform that empowers users to build custom autonomous AI agents using natural language for automating complex tasks.
Experience Requirements:
3 years of experience in a in AI and machine learning field
Exceptional written communication skills and a meticulous attention to detail
Foundational understanding of how large language models work
Strong analytical skills with the ability to systematically test and iterate on solutions
A curious and creative mindset for exploring unconventional solutions to complex problems
Responsibilities:
Prompt Design & Optimization: Develop, test, and refine prompts to improve the quality of AI-generated content, code, or data
Performance Monitoring: Analyze and evaluate the performance of different prompts and prompting techniques
Collaboration: Work closely with data scientists, machine learning engineers, and product managers to understand business needs and translate them into effective AI applications
Documentation: Create and maintain a library of best-practice prompts and a knowledge base of effective prompting techniques
Research: Stay current with the latest research in natural language processing and AI to explore new prompting methods and techniques
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Prompt Engineer
Latitude is a no-code platform that empowers users to build custom autonomous AI agents using natural language for automating complex tasks.
Experience Requirements:
Deep experience with fullstack Python development (FastAPI, Flask, Django; SQL/NoSQL databases)
Demonstrated expertise in prompt engineering for LLMs (e.g., OpenAI, Anthropic, open-source LLMs)
Strong understanding of context engineering, including session management, vector search, and knowledge retrieval strategies
Hands-on experience integrating AI agents and LLMs into production systems
Proficient with conversational flow frameworks such as LangGraph
Other Requirements:
Applicants must be authorized to work in the U.S.
U.S. citizens and Green Card holders are strongly encouraged to apply
Responsibilities:
Design, optimize, and evaluate prompts for LLMs to achieve precise, reliable, and contextually relevant outputs across a variety of use cases
Architect and implement dynamic context management strategies, including session memory, retrieval-augmented generation, and user personalization, to enhance agent performance
Integrate, fine-tune, and orchestrate LLMs within Python-based applications, leveraging APIs and custom pipelines for scalable deployment
Build and manage complex conversational and agent workflows using the LangGraph framework to support multi-agent or multi-step solutions
Develop robust backend services, APIs, and (optionally) front-end interfaces to enable end-to-end AI-powered applications
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Prompt-Context Engineer
Latitude is a no-code platform that empowers users to build custom autonomous AI agents using natural language for automating complex tasks.
Experience Requirements:
Deep experience with fullstack Python development (FastAPI, Flask, Django; SQL/NoSQL databases)
Demonstrated expertise in prompt engineering for LLMs (e.g., OpenAI, Anthropic, open-source LLMs)
Strong understanding of context engineering, including session management, vector search, and knowledge retrieval strategies
Hands-on experience integrating AI agents and LLMs into production systems
Proficient with conversational flow frameworks such as LangGraph
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LLM/Prompt-Context Engineer
Latitude is a no-code platform that empowers users to build custom autonomous AI agents using natural language for automating complex tasks.
Experience Requirements:
Deep experience with fullstack Python development (FastAPI, Flask, Django; SQL/NoSQL databases)
Demonstrated expertise in prompt engineering for LLMs (e.g., OpenAI, Anthropic, open-source LLMs)
Strong understanding of context engineering, including session management, vector search, and knowledge retrieval strategies
Hands-on experience integrating AI agents and LLMs into production systems
Proficient with conversational flow frameworks such as LangGraph
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Prompt Engineer
Latitude is a no-code platform that empowers users to build custom autonomous AI agents using natural language for automating complex tasks.
Benefits:
Medical
Dental
Vision benefits
401k with company matching
life insurance
Experience Requirements:
Strong engineering mindset with proven problem-solving skills
Experience or familiarity with prompt engineering, AI, and LLMs
Prior engineering background in any discipline is highly preferred
Ability to thrive in a collaborative, hybrid work environment
Other Requirements:
applicants must be willing and able to work on a w2 basis
Responsibilities:
Design, test, and optimize AI prompts using Copliot
Develop and implement standard prompting procedures
Build and maintain a centralized enterprise prompt library
Collaborate with cross-functional teams to deliver scalable AI solutions
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Frontend Developer (Angular)
Azati is a software development company offering custom IT services, including advanced AI & Machine Learning solutions, to help businesses accelerate their roadmap.
Benefits:
Flexible work schedule
Remote work from any point of the world or office
Corporate discount program
Social package – medical & family care
Foreign languages courses
Experience Requirements:
Solid hands-on experience with Angular framework in production-grade projects
Practical knowledge of unit testing in the context of frontend development
Experience in energy markets (a bonus)
Experience working with AG Grid, Azure cloud services, Azure DevOps CI/CD pipelines, Docker, Terraform (a plus)
Other Requirements:
Capability to design responsive web apps that adapt across devices
Familiarity with Agile software delivery practices
Strong logical reasoning and debugging ability
Responsibilities:
Shape intuitive, robust user experiences for a critical energy certification tool
Build scalable interface components
Ensuring they perform reliably across the application's various modules
Close collaboration with product and backend teams
Participation in Agile ceremonies
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Python Backend Engineer (AI/LLM)
Azati is a software development company offering custom IT services, including advanced AI & Machine Learning solutions, to help businesses accelerate their roadmap.
Benefits:
Flexible work schedule
Remote work from any point of the world or office
Corporate discount program
Social package – medical & family care
Foreign languages courses
Experience Requirements:
Experienced Python developer
Experience with LLMs, RAG, creating APIs, backend services, and chatbots
Responsibilities:
Build the backend for LLM-powered RAG systems and chatbots
Involve API development, service integration, database management, and deployment on Azure
Develop services using Python, FastAPI, LangChain, and LangGraph
Manage asynchronous tasks with Celery and Redis
Handle database management (MySQL) using SQLModel
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DevOps Engineer
Azati is a software development company offering custom IT services, including advanced AI & Machine Learning solutions, to help businesses accelerate their roadmap.
Benefits:
Flexible work schedule
Remote work from any point of the world or office
Corporate discount program
Social package – medical & family care
Foreign languages courses
Experience Requirements:
Experience with any programming language (a plus)
Experience in management self-hosted Gitlab (a plus)
Experience in medium/large network management (a plus)
Experience in configuration and support self-hosted VPN solutions (a plus)
Responsibilities:
Responsible for ensuring that the Continuous Integration/Continuous Development/Continuous Testing and all testing environments are operating correctly
Develop and support cloud/hybrid infrastructure
Develop and support CI/CD processes and infrastructure
Develop and support monitoring/logging solutions
Manage containerized and virtual environments
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AQA Engineer
Azati is a software development company offering custom IT services, including advanced AI & Machine Learning solutions, to help businesses accelerate their roadmap.
Benefits:
Flexible work schedule
Remote work from any point of the world or office
Corporate discount program
Social package – medical & family care
Foreign languages courses
Experience Requirements:
1+ years of experience in automation testing of web applications or mobile
Knowledge of programming languages (preferred language Java)
Knowledge of automation frameworks based on java (Selenium webdriver)
Experience in writing automation frameworks from scratch (a plus)
Expertise in performance testing, stress testing, load testing (e.g. JMeter, Gatling) (a plus)
Other Requirements:
Analytical mindset
Attention to detail
Communication skills, both written and oral
Adaptability and initiative. Willingness to work in a fast-paced environment
Intermediate written and spoken English skills
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Python Developer (FastAPI, Microservices)
Azati is a software development company offering custom IT services, including advanced AI & Machine Learning solutions, to help businesses accelerate their roadmap.
Benefits:
Flexible work schedule
Remote work from any point of the world or office
Corporate discount program
Social package – medical & family care
Foreign languages courses
Experience Requirements:
Solid experience with Python, especially with FastAPI
Hands-on experience with microservice architectures
Experience with Celery (or similar task queues) and RabbitMQ
Strong knowledge of PostgreSQL
Other Requirements:
Know how to ship stuff without overcomplicating (a plus)
Comfortable owning parts of the system (a plus)
Can work with minimal process overhead (a plus)
English B1 would be a nice plus (optional)
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Full Stack Developer
GiFTEM is an AI platform amplifying recruiter intelligence for efficient candidate sourcing, engagement, and conversion, making hiring faster and smarter.
Education Requirements:
Bachelor’s degree in business, IT, or any related field
Experience Requirements:
5+ years of relevant work experience supporting complex projects
Other Requirements:
Strong knowledge of SQL (using DBViewer or other similar tools)
Experience with Java and the Spring Framework including Spring Boot
Experience in JavaScript
Experience with the React UI framework and related libraries
Experience writing unit and integration tests
Experience implementing the Test-Driven Development (TDD) framework
Experience modifying reports (queries, filters, and input parameters)
Some experience with CI/CD pipelines using tools like Jenkins or Harness
Knowledge of Agile software development methodologies and tools
Ability to understand business requirements
Proven ability to communicate progress and identify blockers during scrum ceremonies
Self-starter with the ability to seek clarification when necessary and identify personal training needs
Experience with Junit
Experience with Harness
Experience with Ruby programming language
Experience testing Jasper reports across multiple environments
Knowledge of SAFe
Basic understanding of Amazon Web Services (AWS)
Ability to run and debug reports locally
Linux operating system knowledge
Responsibilities:
Support enhancement and maintenance of one or more USCIS applications using agency’s technology stack (Java, Spring, Spring Boot, React, SQL, etc.)
Work closely with cross-functional teams to understand project requirements and deliver high-quality solutions
Write, test, and maintain Java-based backend services using Spring and Spring Boot frameworks
Develop and maintain front-end applications using JavaScript and React
Implement and maintain CI/CD pipelines for automated testing and deployment
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Fullstack Developer (JS/PHP) - M/F/D
AB Tasty is an AI-powered platform for experience optimization, offering advanced experimentation, personalization, and product recommendations to boost conversion and engagement.
Benefits:
Make a real impact
Ownership & autonomy
International culture
Accelerate your career
Flexible work
Experience Requirements:
At least 5 years of experience in React JS, JavaScript, PHP, Symphony, TypeScript, SQL, REST
Familiarity with the basics of Clean Architecture
Experience in translating product needs to technical specifications and accurate costings; you have contributed to and maintained code in a production environment
Other Requirements:
Excellent communication skills - you can communicate effectively with both the product team and other engineers across the stack
Good level in English (spoken and written), French is a plus
Responsibilities:
Participate in team rituals following Agile methodologies
Help specify new features, conduct PoCs to mitigate risks, and validate technical decisions
Document, create, and maintain REST APIs / our TAG / our connectors
Collaborate on technical architecture design
Contribute to backend / frontend chapter discussions and code evolution
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Stage Computer Vision
ShareID is an authentication solution that provides reliable identity verification, replacing vulnerable passwords with true identity-based user authentication.
Education Requirements:
Currently pursuing a Bachelor's or Master's degree in Computer Science or a related field
Experience Requirements:
Strong understanding of computer vision concepts and techniques
Knowledge of image processing and analysis techniques
Familiarity with openCV and scikit
Experience with programming languages such as Python and C++
Familiarity with deep learning frameworks such as TensorFlow or PyTorch
Other Requirements:
Excellent problem-solving and analytical skills
Strong communication and and teamwork skills
Responsibilities:
Working alongside experienced engineers and researchers on a challenging project that have a real-world impact
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Applied ML Research Engineer
Genius is VERSES' agentic enterprise intelligence platform, providing reliable predictions and smarter decisions by modeling causal relationships in complex systems.
Education Requirements:
Master's degree in a quantitative field
Experience Requirements:
Experience in applying Bayesian techniques
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Manager, Solutions Engineering, Verticals
On3 is an AI-powered mobile training app for frontline teams, empowering them to capture, create, and share real-world knowledge instantly from the job site.
Benefits:
Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences
Experience Requirements:
3+ years of demonstrated success as a manager of a Solutions/Sales Engineering team at a B2B SaaS company
5+ years as a Solutions Engineer in Healthcare & Life Sciences, Financial Services, State & Local Governments, or Higher Education prior to management.
Deep understanding of AI agent workflows and their application to compliance needs in regulated industries.
Experience scaling teams during high-growth periods, attracting, hiring, growing, and retaining top Solutions Engineering talent.
Skilled in navigating complex enterprise deals with multiple stakeholders, coaching on deal strategy, and addressing technical challenges.
Other Requirements:
Exceptional communicator with proven operational excellence and the ability to create new processes and analytical frameworks to track team goals.
Results-oriented, data-driven leader with a proactive approach to identifying and addressing business opportunities in a high-growth environment.
Ability to travel periodically to meet customers as needed.
Responsibilities:
Build and retain a high-performing team of Solutions Engineers through recruitment, coaching, and professional development, fostering expertise in AI agent workflows.
Leverage your industry knowledge to provide hands-on strategy, technical coaching, and demo excellence, driving success for enterprise accounts.
Enhance Solutions Engineering efficiency by developing processes and analytical tracking to monitor team goals and performance metrics.
Partner with the AMER Solutions Leadership to shape the vision for a growing Solutions Engineering team and contribute to the enterprise playbook.
Collaborate cross-functionally with Sales, Product, Engineering, Security, Marketing, and Customer Success to align AI agent workflows with industry compliance requirements.
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Sr. Engineering Manager
On3 is an AI-powered mobile training app for frontline teams, empowering them to capture, create, and share real-world knowledge instantly from the job site.
Benefits:
Comprehensive Medical, Dental, and Vision plans with a 100% employer-paid monthly premium option for employees & 50% employer-paid monthly premiums for dependents
Health Savings Account with company contribution for eligible medical plans
Flexible Vacation Plan
10 Paid Company Holidays
100% employer-paid Life, AD&D and Short- and Long-Term Disability Insurance
Experience Requirements:
A minimum of 10 years of experience in software engineering is a must
at least 4 years in an engineering leadership role is required
Expert knowledge of Cloud Software Development and concepts
Experience in iOS/Android app development using the latest frameworks
Experience with FullStack apps, DevOps, and database technologies, patterns, and architectures
Other Requirements:
Deep empathy for our internal and external customers with a demonstrated record of delivering high-quality software in a timely manner
Ambitious and resourceful; results-oriented; highly innovative. Focused on business value creation through innovation
Highly analytical, data-driven mindset; holds self and others accountable with measurable ROI-oriented KPIs
Responsibilities:
Lead, mentor, and grow a team of talented software engineers, promoting a culture of rapid innovation, continuous improvement, and efficiency
Work collaboratively with Product Management on the roadmap, ensuring that the timelines proposed are realistic based on the likely technical approach to executing the underlying requirements.
Be the vocal champion for the engineering team in proposing candidates for inclusion on the product and technology roadmap. Ensure that risks associated with tech debt are clearly communicated to stakeholders outside of the engineering team.
Oversee the software engineering function for all software properties and customer-facing assets, including managing the software engineering sprint cycles
Act as a scrum master for pods and help unblock engineers as needed.
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