Connector Developer - Applied AI Engineering Job at DevRev (Ljubljana)

Connector Developer - Applied AI Engineering

You will be part of our Engineering team at DevRev, developing solutions over th...

Location

Slovenia , Ljubljana

Salary:

Not provided

DevRev

Expiration Date

Until further notice

Requirements

Senior Integration Development Expertise: Requires 3+ years in integration software development, focusing on designing, implementing, and scaling complex, customer-facing solutions using Webhooks and APIs (ETL). This includes hands-on experience with TypeScript/JavaScript, Python, and SQL.
Robust System Architecture & Security: Proven ability to build resilient and scalable integrations by prioritizing maintainable design patterns and utilizing strategies like rate limiting, retries, and exponential backoff. Must have a solid understanding of secure API integration practices (OAuth, API key/token management, secrets handling).
Advanced Data Synchronization & Modeling: Expertise in managing large-scale data synchronization (one-way and two-way sync) and proficiently handling data mapping, transformation, and schema alignment across diverse systems, including familiarity with data modeling and graph data structures.
Operational Excellence & Observability: Skilled in applying event-driven and pub/sub architectures for reactive integrations. This includes implementing clear logging and actionable error surfacing to support observability, writing high-quality tests, and efficiently triaging technical blockers.
API Standards & Documentation: Proficient in working with OpenAPI specifications and integrating third-party SDKs (e.g., Google, Azure). Must have experience writing concise, well-structured documentation for long-term team understanding and onboarding.
Education/Experience: Bachelor’s degree in Computer Science or a related field, OR demonstrated equivalent professional experience.

Job Responsibility

Design, develop, implement and maintain integrations, automations and customizations to integrate DevRev with customers’ tech stack and workflows, and ensure successful customer engagements.
Integrate DevRev with other SaaS and non-SaaS systems through APIs and Webhooks and/ or real-time communication technical architecture.
Utilize AI in novel ways to solve customer problems, including Generative AI techniques like prompt engineering for foundation large language models (LLMs) to enable great AI agent experience.
Conduct data analysis, writing SQL queries, and building dashboards to share insights and drive decision-making.
Be proactive in communicating and keeping constant feedback loops to all key stakeholders including Customers, Engineering, Product, Customer Success & Support, Revenue, Marketing etc.
Learn new tools and guide customers through critical workflows, e.g. integration with code repositories.

New

AI Staff Engineer

At Multiverse, we believe technology should empower everyone to achieve their po...

Location

United Kingdom , London

Salary:

Not provided

Multiverse

Expiration Date

Until further notice

Requirements

Proven Staff-Level experience: 6-7 years in software engineering with strong understanding of Applied AI fundamentals
Experience working in cross-functional product teams
LLM Expertise: Experienced in working with large language models (e.g., GPT, Claude, Gemini Pro) for production use cases, including prompt engineering, evaluation, and safety & inclusivity considerations
Strong Engineering Skills: Proficient in Python and TypeScript, with experience building APIs, microservices, and cloud-native applications
Experience with AI Tools: Familiarity with emerging AI tooling platforms such as Cursor and Gemini is highly desirable
Cloud & MLOps: Practical experience deploying AI solutions on AWS, with a strong grasp of version control, observability, and evaluation pipelines
Data Skills: Skilled at working with structured and unstructured data, applying preprocessing and feature engineering techniques
User Focus: You can translate complex AI capabilities into product experiences that feel effortless and intuitive
Collaborative Approach: You work best in creative and cross-functional teams and thrive when building together
Growth Mindset: You’re curious, open to feedback, and excited to share what you learn while contributing to an inclusive, high-performing culture

Job Responsibility

Design, Architect & Deliver AI Solutions: Partner with Product, Design, and Data teams to shape and deliver AI-powered features that generate real impact to our learners, value for our customers, and align with Multiverse’s mission
Establish LLM Best Practices: Define the technical standards and governance for leveraging Large Language Models (LLMs), including design, fine-tuning, and integration for high-impact production use cases such as content generation, semantic search, summarisation, and personalised learning experiences
Build & Integrate Models: Develop, fine-tune, and embed machine learning models into production systems using tools like Cursor and Gemini, ensuring they are fast, scalable, and dependable
Own the End-to-End Lifecycle: Take responsibility for the journey from raw data through experimentation, deployment to users, and continuous iteration
Measure What Matters: Track the performance, accuracy, and adoption of AI features, and use those insights to drive constant improvement
Mentor and Scale Expertise: Mentor and coach engineers across teams, sharing your deep expertise to make AI approachable and set the direction for best practices, significantly elevating the team's capabilities
Lead in MLOps & Cloud Infrastructure: Build robust pipelines for deployment, and monitoring using AWS cloud services and modern MLOps best practices
Champion Innovation: Keep us ahead of the curve by exploring new AI tools, including Cursor and Gemini, and applying them to create exceptional user experiences
Drive Organisational Adoption: Champion new technologies and approaches (including AI-assisted tools), driving their successful adoption across multiple teams while balancing experimentation with pragmatic delivery
Cross-Team Influence: Act as a key technical advisor and connector across product, design, and engineering, ensuring alignment on strategic initiatives

What we offer

Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year
Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support
Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month
Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year
Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!

Fulltime

AI Engineer

We love technology, and we enjoy what we do. We are always looking for innovatio...

Location

Mexico , Dinastía, Nuevo León

Salary:

Not provided

Enroute

Expiration Date

Until further notice

Requirements

1–2+ years of professional experience in AI/ML, Data Engineering, or related roles
Proficiency in Python (pandas, scikit-learn, NumPy)
Experience with LangChain and LLM-based prompting
Knowledge of Databricks and distributed data processing
Hands-on experience with low-code/no-code tools (LangFlow, LangSmith, Flowise, n8n)
Familiarity with building and debugging data pipelines and APIs
Strong problem-solving skills, curiosity, and ability to learn quickly

Job Responsibility

Data Engineering & Pipelines: Build, optimize, and maintain scalable data pipelines
Work with Databricks and SQL for big data queries and transformations
Integrate structured/unstructured datasets into AI workflows
AI & ML Engineering: Apply libraries like scikit-learn, pandas, NumPy for preprocessing and modeling
Design, prompt, and evaluate LLM-based workflows
Leverage frameworks like LangChain and vector databases for retrieval and orchestration
Automation & Orchestration: Develop solutions using low-code and no-code tools such as LangFlow, LangSmith, Flowise, n8n, etc.
Integrate APIs, connectors, and services into end-to-end pipelines
Create reusable components for rapid prototyping and deployment
Collaboration & Delivery: Work cross-functionally with data engineers, analysts, and product teams

What we offer

Monetary compensation
Year-end Bonus
IMSS, AFORE, INFONAVIT
Major Medical Expenses Insurance
Minor Medical Expenses Insurance
Life Insurance
Funeral Expenses Insurance
Preferential rates for car insurance
TDU Membership
Holidays and Vacations

Fulltime

Senior Strategist, Social Media & Innovation

Born and Raised has a fantastic opportunity for an intuitively insightful, wildl...

Location

United States , Philadelphia

Salary:

Not provided

Brownstein

Expiration Date

Until further notice

Requirements

5-7 years of experience in advertising or brand planning
Agency background required
1+ years of experience mentoring junior-level strategists/planners
Demonstrated experience in both Campaign Planning and Brand Strategy
Knowledge of best practices and fluency across all relevant current social channels (Facebook, Instagram, Twitter, TikTok, LinkedIn, Pinterest, YouTube, Snapchat, Google, etc.) as well as emerging and niche social channels
Applied AI Expertise: Fundamental understanding of AI models—how they “think,” operate, and function—is required to make informed decisions about their application.
Curiosity and Willingness to Experiment: Success in this role demands ambition, adaptability, and a track record of experimenting with new technologies, tools, and strategies.
Continuous Learning: Staying abreast of the rapidly evolving AI landscape is crucial, as is maintaining up-to-date sources and alerts to follow news and developments.
Technical and Business Fluency: fluency with emerging technologies, business processes, and the ability to align AI solutions with measurable organizational goals.
Possesses a deep understanding of platform best practices across other digital channels

Job Responsibility

Develop brand planning initiatives across a portfolio of clients by proposing marketing and advertising recommendations that integrate consumer insights, cultural trends, category movement, media platform function and business knowledge.
Partner with clients to discuss brand health, business performance, and untapped opportunities for the client’s brand.
Social media savvy - able to skillfully apply social-first approaches to client challenges and opportunities.
Develop, implement, and manage social media strategies for clients and agency brand.
Conduct market research and social listening to inform strategy and identify trends.
Create content plans, ensuring alignment with brand voice and objectives.
Analyze performance metrics (e.g., engagement, reach, conversions) and present actionable insights.
Coordinate with creative, PR, influencer and paid media teams to integrate social with broader campaigns.
Stay current with platform updates, new tools, emerging trends, prompt engineering and other related skills.
Guide the agency team through qualitative, quantitative, and/or secondary research efforts across consumer, culture, category, and competition to unlock interesting and unexpected insights as the driving force behind campaigns.

What we offer

An opportunity to collaborate and create with some of the smartest, coolest, and most interesting people in the industry
A competitive salary
Health benefits
Wellness programs
401K program
Remote Working
Flex Days
Summer Hours
Unlimited PTO

Fulltime

Sr. AI Solutions Architect

As a Sr. AI Solutions Architect you are the bridge between a sophisticated AI pr...

Location

Canada , Kitchener

Salary:

Not provided

Dialpad

Expiration Date

Until further notice

Requirements

5+ years of experience in a high-impact, customer-facing technical role such as Solutions Architect, Forward Deployed Engineering, Technical Consulting, MLOps, or Backend Engineering for SaaS/AI products
Familiarity with LLMs and Generative AI, specifically how to apply them to real-world tasks
Knowledge about using vector databases and orchestration frameworks (like LangChain or LlamaIndex) to build functional applications
Proven experience in advanced prompt engineering techniques (Chain-of-Thought, Few-Shot, ReAct) and LLM orchestration
Proven track record of deploying LLM-based applications at scale
Strong proficiency in working with APIs (REST, GraphQL) and specifically building/configuring MCP (Model Context Protocol) servers
Hands-on experience integrating with enterprise platforms like Zendesk, Salesforce, or ServiceNow
Proven ability to use Python or Node.js for scripting and building middleware or connectors
Experience with fine-tuning of models for specific deployment constraints
Unrivaled business acumen and the ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive

Job Responsibility

Solutions Design: Ability to understand customer requirements quickly and accurately. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions
Requirements Translation: Conduct deep-dive discovery sessions with customers to translate business objectives and SOPs into structured technical instructions for AI Agents
Prompt Engineering & Training: Design, test, and iterate on complex prompt architectures to ensure AI agents deliver high-accuracy outputs aligned with client brand voice and logic
AI Consulting: Confidence to consult, not just replicate. Desire to build transformational solutions for customers that revamp the way they do business
Stakeholder Management: Act as the technical face of the company during deployments, managing expectations and providing expert guidance in a fast-paced environment
Production Integration: Lead the end-to-end deployment of Agentic AI workflows into customer environments. Author multi-step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework
Guardrails & Safety: Develop and deploy systems and automated evaluation layers to monitor for hallucinations, bias, and security breaches
Performance Optimization: Optimize your agents as part of the hypercare process with your customer post-integration. Provide baselines for KPIs like task containment rate, task success rate, and hallucinations
Monitoring & Observability: Set up advanced tracking systems to provide customers with "Explainable AI" dashboards
Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development

What we offer

Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential
We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection
Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success

Sr. AI Solutions Architect

As a Sr. AI Solutions Architect you are the bridge between a sophisticated AI pr...

Location

United States , Denver

Salary:

119200.00 - 151000.00 USD / Year

Dialpad

Expiration Date

Until further notice

Requirements

5+ years of experience in a high-impact, customer-facing technical role such as Solutions Architect, Forward Deployed Engineering, Technical Consulting, MLOps, or Backend Engineering for SaaS/AI products
Familiarity with LLMs and Generative AI, specifically how to apply them to real-world tasks
Knowledge about using vector databases and orchestration frameworks (like LangChain or LlamaIndex) to build functional applications
Proven experience in advanced prompt engineering techniques (Chain-of-Thought, Few-Shot, ReAct) and LLM orchestration
Proven track record of deploying LLM-based applications at scale
Strong proficiency in working with APIs (REST, GraphQL) and specifically building/configuring MCP (Model Context Protocol) servers
Hands-on experience integrating with enterprise platforms like Zendesk, Salesforce, or ServiceNow
Proven ability to use Python or Node.js for scripting and building middleware or connectors
Experience with fine-tuning of models for specific deployment constraints
Unrivaled business acumen and the ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive

Job Responsibility

Solutions Design: Ability to understand customer requirements quickly and accurately. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions
Requirements Translation: Conduct deep-dive discovery sessions with customers to translate business objectives and SOPs into structured technical instructions for AI Agents
Prompt Engineering & Training: Design, test, and iterate on complex prompt architectures to ensure AI agents deliver high-accuracy outputs aligned with client brand voice and logic
AI Consulting: Confidence to consult, not just replicate. Desire to build transformational solutions for customers that revamp the way they do business
Stakeholder Management: Act as the technical face of the company during deployments, managing expectations and providing expert guidance in a fast-paced environment
Production Integration: Lead the end-to-end deployment of Agentic AI workflows into customer environments. Author multi-step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework
Guardrails & Safety: Develop and deploy systems and automated evaluation layers to monitor for hallucinations, bias, and security breaches
Performance Optimization: Optimize your agents as part of the hypercare process with your customer post-integration. Provide baselines for KPIs like task containment rate, task success rate, and hallucinations
Monitoring & Observability: Set up advanced tracking systems to provide customers with "Explainable AI" dashboards
Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development

What we offer

Competitive benefits and perks
Robust training program
Inclusive office environment
Recognized Great Place to Work culture

Fulltime

Sr. AI Solutions Architect

As a Sr. AI Solutions Architect you are the bridge between a sophisticated AI pr...

Location

United States , Austin

Salary:

Not provided

Dialpad

Expiration Date

Until further notice

Requirements

5+ years of experience in a high-impact, customer-facing technical role such as Solutions Architect, Forward Deployed Engineering, Technical Consulting, MLOps, or Backend Engineering for SaaS/AI products
Familiarity with LLMs and Generative AI, specifically how to apply them to real-world tasks
Knowledge about using vector databases and orchestration frameworks (like LangChain or LlamaIndex) to build functional applications
Proven experience in advanced prompt engineering techniques (Chain-of-Thought, Few-Shot, ReAct) and LLM orchestration
Proven track record of deploying LLM-based applications at scale
Strong proficiency in working with APIs (REST, GraphQL) and specifically building/configuring MCP (Model Context Protocol) servers
Hands-on experience integrating with enterprise platforms like Zendesk, Salesforce, or ServiceNow
Proven ability to use Python or Node.js for scripting and building middleware or connectors
Experience with fine-tuning of models for specific deployment constraints
Unrivaled business acumen and the ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive

Job Responsibility

Solutions Design: Ability to understand customer requirements quickly and accurately. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions
Requirements Translation: Conduct deep-dive discovery sessions with customers to translate business objectives and SOPs into structured technical instructions for AI Agents
Prompt Engineering & Training: Design, test, and iterate on complex prompt architectures to ensure AI agents deliver high-accuracy outputs aligned with client brand voice and logic
AI Consulting: Confidence to consult, not just replicate. Desire to build transformational solutions for customers that revamp the way they do business
Stakeholder Management: Act as the technical face of the company during deployments, managing expectations and providing expert guidance in a fast-paced environment
Production Integration: Lead the end-to-end deployment of Agentic AI workflows into customer environments. Author multi-step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework
Guardrails & Safety: Develop and deploy systems and automated evaluation layers to monitor for hallucinations, bias, and security breaches
Performance Optimization: Optimize your agents as part of the hypercare process with your customer post-integration. Provide baselines for KPIs like task containment rate, task success rate, and hallucinations
Monitoring & Observability: Set up advanced tracking systems to provide customers with "Explainable AI" dashboards
Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development

What we offer

Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential
We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection
Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success

Sr. AI Solutions Architect

As a Sr. AI Solutions Architect you are the bridge between a sophisticated AI pr...

Location

United States , Tempe

Salary:

Not provided

Dialpad

Expiration Date

Until further notice

Requirements

5+ years of experience in a high-impact, customer-facing technical role such as Solutions Architect, Forward Deployed Engineering, Technical Consulting, MLOps, or Backend Engineering for SaaS/AI products
Familiarity with LLMs and Generative AI, specifically how to apply them to real-world tasks
Knowledge about using vector databases and orchestration frameworks (like LangChain or LlamaIndex) to build functional applications
Proven experience in advanced prompt engineering techniques (Chain-of-Thought, Few-Shot, ReAct) and LLM orchestration
Proven track record of deploying LLM-based applications at scale
Strong proficiency in working with APIs (REST, GraphQL) and specifically building/configuring MCP (Model Context Protocol) servers
Hands-on experience integrating with enterprise platforms like Zendesk, Salesforce, or ServiceNow
Proven ability to use Python or Node.js for scripting and building middleware or connectors
Experience with fine-tuning of models for specific deployment constraints
Unrivaled business acumen and the ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive

Job Responsibility

Solutions Design: Ability to understand customer requirements quickly and accurately. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions
Requirements Translation: Conduct deep-dive discovery sessions with customers to translate business objectives and SOPs into structured technical instructions for AI Agents
Prompt Engineering & Training: Design, test, and iterate on complex prompt architectures to ensure AI agents deliver high-accuracy outputs aligned with client brand voice and logic
AI Consulting: Confidence to consult, not just replicate. Desire to build transformational solutions for customers that revamp the way they do business
Stakeholder Management: Act as the technical face of the company during deployments, managing expectations and providing expert guidance in a fast-paced environment
Production Integration: Lead the end-to-end deployment of Agentic AI workflows into customer environments. Author multi-step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework
Guardrails & Safety: Develop and deploy systems and automated evaluation layers to monitor for hallucinations, bias, and security breaches
Performance Optimization: Optimize your agents as part of the hypercare process with your customer post-integration. Provide baselines for KPIs like task containment rate, task success rate, and hallucinations
Monitoring & Observability: Set up advanced tracking systems to provide customers with "Explainable AI" dashboards
Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development

What we offer

Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential
We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection
Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success

Connector Developer - Applied AI Engineering

DevRev

Location:
Slovenia , Ljubljana

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 04, 2026

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