Prompt Engineer Job at Shriffle

Associate Prompt Engineer

Job Title: Associate Prompt Engineer/Prompt Engineer. Creating High-Quality Cont...

Location

India , Pune

Salary:

Not provided

Randstad

Expiration Date

February 13, 2026

Requirements

Bachelor’s degree in Business Administration, Management, Economics, or a related field
Minor in English, Communications, Journalism, or a related writing-intensive discipline is highly preferred
Exceptional written English proficiency with a demonstrated capability equivalent to a High B2 (CEFR) or better
Superior reading comprehension skills
Excellent communication
Specific own equipment (2GHz+ processor, 8GB RAM, Licensed Windows 10, 100MBPS internet)
Recent mobile operating system (Android 15 or iOS 16)

Job Responsibility

Create conversational prompts and responses
Create generative prompts and responses
Write description prompts
Provide detailed descriptions of videos with or without audio
Summarize video content
Generate image captions
Create video event captions
Score prompt-response pairs on multiple parameters and categories
Provide constructive feedback and suggest improvements where applicable
Evaluate and score prompt-response pairs based on various parameters

Fulltime

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GenAI Prompt Security Engineer

This role sits within the newly formed GenAI Security team, which is responsible...

Location

United Kingdom , Belfast

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Highly motivated self-starter with excellent interpersonal and problem-solving skills
Bachelor’s degree or equivalent work experience
Good oral and written communication skills
Significant relevant industry work experience
Experience of the full lifecycle of design, implementation and running of enterprise software solutions involving cross functional team collaboration
Expertise in a major programming language such as Python and/or Go, and associated tooling (Git, Maven, IDEs, Jenkins, Bitbucket etc)
Expertise in designing and implementing secure APIs and libraries
Experience in Generative AI, LLM frameworks, LLM prompt engineering and/or adversarial testing is a bonus
Experience with Cyber engineering and Operations, which could include DevSecOps or MLSecOps
Experience contributing to the architecture and design (architecture, design patterns, reliability, scaling) of new and current systems

Job Responsibility

Designing, developing, optimizing, and enhancing a GenAI prompt security platform to protect firm AI/LLM-based applications from adversarial attacks and prompt injections
Building and automating a security testing framework to validate protection mechanisms for various LLM use cases
Owning solutions that are expected to operate and perform at scale across the organisation
Collaboration with multiple stakeholders and partners across Engineering and Operations as well as partner teams within the wider Citi organisation, across different time zones

Fulltime

AI Engineer

AI Engineer position at Inetum, a European leader in digital services, focusing ...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Minimum 3 to 5 years of experience in AI solutions deployment in enterprise environments
Understanding of how LLMs (GPT-4, Gemini, Claude, Llama, Mistral AI) work, their capabilities, and limitations
Familiarity with model architecture, tokenization, context windows, and prompt formatting
Crafting effective prompts for various tasks (text generation, summarization, Q&A, code generation, images and sound manipulations)
Techniques for prompt chaining, few-shot and zero-shot learning, and multi-turn conversations
Knowledge of prompt templates, system instructions, and role-based prompting
Understanding the concept of AI agents: autonomous entities that perceive, reason, and act to achieve goals
Familiarity with multi-agent systems, agent orchestration, and agentic workflows (e.g., using frameworks like Lang Chain, Crew AI, Auto Gen)
Ability to design, prompt, and coordinate groups of AI agents for collaborative or competitive tasks
Knowledge of agent communication, delegation, and task decomposition

Job Responsibility

Develop, refine, and optimize prompts for LLMs (GPT-4, Gemini, Claude, Llama, Mistral) to support a variety of tasks such as text generation, summarization, Q&A, and code generation
Design and implement prompt strategies for multi-turn conversations, prompt chaining, and role-based instructions
Build and coordinate groups of AI agents (multi-agent systems) for collaborative or competitive tasks using frameworks such as Lang Chain, Crew AI, or Auto Gen
Upgrade existing prompts while releases and solutions set evolve
Evaluate and improve the effectiveness of prompts and agent workflows through iterative testing, A/B experimentation, and performance analysis
Collaborate with cross-functional teams (developers, data scientists, product managers) to integrate prompt engineering and agentic workflows into enterprise solutions
Ensure compliance with data privacy, security, and regulatory standards (GDPR, NIS2) in all prompt and agent designs
Document prompt strategies, agent architectures, and best practices for internal knowledge sharing and training
Ensure provided solutions are ready for production, documented and monitored ensuring consistent delivery and quality

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical Insurance
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings

Fulltime

AI Engineer

AI Engineer position at Inetum, a European leader in digital services, focusing ...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Minimum 3 to 5 years of experience in AI solutions deployment in enterprise environments
Understanding of how LLMs (GPT-4, Gemini, Claude, Llama, Mistral AI) work, their capabilities, and limitations
Familiarity with model architecture, tokenization, context windows, and prompt formatting
Crafting effective prompts for various tasks (text generation, summarization, Q&A, code generation, images and sound manipulations)
Techniques for prompt chaining, few-shot and zero-shot learning, and multi-turn conversations
Knowledge of prompt templates, system instructions, and role-based prompting
Understanding the concept of AI agents: autonomous entities that perceive, reason, and act to achieve goals
Familiarity with multi-agent systems, agent orchestration, and agentic workflows (e.g., using frameworks like Lang Chain, Crew AI, Auto Gen)
Ability to design, prompt, and coordinate groups of AI agents for collaborative or competitive tasks
Knowledge of agent communication, delegation, and task decomposition

Job Responsibility

Develop, refine, and optimize prompts for LLMs (GPT-4, Gemini, Claude, Llama, Mistral) to support a variety of tasks such as text generation, summarization, Q&A, and code generation
Design and implement prompt strategies for multi-turn conversations, prompt chaining, and role-based instructions
Build and coordinate groups of AI agents (multi-agent systems) for collaborative or competitive tasks using frameworks such as Lang Chain, Crew AI, or Auto Gen
Upgrade existing prompts while releases and solutions set evolve
Evaluate and improve the effectiveness of prompts and agent workflows through iterative testing, A/B experimentation, and performance analysis
Collaborate with cross-functional teams (developers, data scientists, product managers) to integrate prompt engineering and agentic workflows into enterprise solutions
Ensure compliance with data privacy, security, and regulatory standards (GDPR, NIS2) in all prompt and agent designs
Document prompt strategies, agent architectures, and best practices for internal knowledge sharing and training
Ensure provided solutions are ready for production, documented and monitored ensuring consistent delivery and quality

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical Insurance
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings

Fulltime

Software Engineer II - Connector Engineering

We are seeking a resourceful and versatile Software Engineer to join the team to...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

Strong technical skills in Core Java with prior experience working in support or maintenance projects
Strong understanding of data structures
Ability to work in kanban delivery model with good exposure to process
Ensure best practices in coding and quality standards for delivery
Worked on Kanban methodologies
Taking full ownership of converting requirements into design, code, unit test, deployment and delivery of functionality as per agreed timelines
Being a good team player with strong interpersonal skills
Know-how of troubleshooting/debugging application and code to resolve any issues in the platform
Being able to review other engineers work output and provide constructive feedback for the betterment of the solutions
Self-starter and should be willing to plunge to the bottom of a business problem to resolve

What we offer

Competitive compensation based on market standards
Flexible Leave Policy
Office is in the heart of the city in case you need to step in for any purpose
Medical Insurance (1+5 Family Members)
We provide comprehensive coverage including accident policy and life Insurance
Annual performance cycle
Quarterly team engagement activities and rewards & recognitions
L&D programs to foster professional growth
A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency

Machine Learning Engineer

The Machine Learning Engineer is a practitioner and advocate of state-of-the-art...

Location

Portugal , Oporto; Lisbon; Funchal; Ponta delgada

Salary:

Not provided

TUI

Expiration Date

Until further notice

Requirements

Experience in designing, implementing, deploying and using various AI models and algorithms
Experience in deploying AI solutions (e.g. CI/CD pipeline, API development, containers)
Strong programming skills in Python
Understanding of machine learning/AI frameworks and libraries
Hands-on experience with cloud technologies and services (e.g., AWS, Azure, Google Cloud)
Experience with SQL and/or Snowflake
Some experience with Generative AI technologies (e.g. Bedrock, Langchain, LangGraph)
Proficiency in data preprocessing and feature and/or prompt engineering
Customer-focused engineer with a passion for crafting high-quality digital products, continuous improvement, and effective team collaboration
Strong problem-solving and communication skills, with an understanding of the social, legal, and ethical impact of AI technologies

Job Responsibility

Deliver solutions that challenge the status quo, taking full responsibility for your AI solutions from design to operation
Collaborate with your team to enable AI engineering skills and capabilities across TUI Group
Research, evaluate, and test new approaches, processes, and tools
Participate in Communities of Practice and collaborate on shared initiatives
Build and maintain self-build segmentation models
Lay the foundation for data science driven decision making and personalised offers
Deliver innovative and inspiring customer experiences in TUIs digital channels

What we offer

Attractive remuneration
Bonus opportunity
Exclusive travel perks & discounts
Extensive health & wellbeing support
Flexible working models
Opportunities to upskill, reskill and grow your career
Access to TUI Tech Learning Hub
Participation in tech communities and collaboration on global projects and teams
Involvement with local charity and sustainability initiatives

Fulltime

Senior AI Engineer

As a Senior AI Engineer on our AI Engineering team, you will be responsible for ...

Location

Canada; United States

Salary:

160000.00 - 260000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience with a focus on production systems
1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
Production LLM Applications: Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools)
Agent Development: Experience building multi-step AI agents, LLM chaining, and complex workflow automation
Prompt Engineering Expertise: Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
Python Proficiency: Expert-level Python skills for production AI systems
Backend Engineering: Strong experience building scalable backend systems, APIs, and distributed architectures
LangChain or Similar Frameworks: Experience with LangChain, LlamaIndex, or other LLM application frameworks
API Integration: Proven ability to integrate multiple APIs and services to create advanced AI capabilities
Production Deployment: Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)

Job Responsibility

Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements
Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques
System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards
Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions

What we offer

equity
company bonus or sales commissions/bonuses
401(k) plan
at least 10 paid holidays per year, flex PTO, and parental leave
employee assistance program and wellbeing benefits
global travel coverage
life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Gen AI Tech Lead

We are seeking a dynamic and innovative Gen AI Lead to spearhead the development...

Location

United States , Atlanta, Georgia; Tampa, Florida

Salary:

158400.00 - 237600.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Large Language Models (LLMs) & Fine-Tuning: Deep knowledge of LLMs and advanced fine-tuning techniques
Model Optimization: Expertise in model compression and quantization methods
Prompt Engineering: Adept at prompt engineering
Retrieval-Augmented Generation (RAG): Advanced knowledge of RAG techniques
Machine Learning Frameworks and Cloud Computing: Proficiency in TensorFlow, PyTorch, and high-level APIs like Keras
Natural Language Processing (NLP) and AI Deployment: Advanced NLP skills
Data Science, Engineering, and API Development: Strong proficiency in data preprocessing
Generative AI Tools & Platforms: Experienced with cutting-edge generative AI tools
AI Compliance & Guardrails: Knowledge of AI compliance frameworks
Team Leadership: Proven ability to build, lead, and develop high-performing AI teams

Job Responsibility

Lead Generative AI Strategy: Define and implement a comprehensive AI strategy
Build & Lead a High-Performing Team: Hire, mentor, and manage a team of AI specialists
Drive AI Innovation: Collaborate with internal stakeholders to identify business challenges
AI System Development: Oversee the design, development, and deployment of AI models
Cross-functional Collaboration: Work closely with the Data Mesh, Cloud Architecture, and broader tech teams
Stay Current on AI Trends: Continuously monitor the latest AI trends
Ensure Ethical AI Use: Ensure all AI initiatives comply with data privacy

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages
planned time off (vacation)
unplanned time off (sick leave)
paid holidays

Fulltime

Prompt Engineer

Shriffle

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 10, 2026

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