Staff Software Engineer: Applied AI

Every day, thousands of shipments cross borders, change hands, and hit unexpected problems. For decades, fixing those problems meant phone calls, emails, and humans heroically firefighting. We think that's about to change completely.

We've been building AI agents that spot trouble before it happens, reroute shipments, and keep goods moving—with our team of experts in the loop where it counts. The early results have been jaw-dropping. We're now going all in on a future where supply chains run themselves, and we're looking for the people who want to build that future with us.

This isn't a role where you join a team and pick up tickets. You'll find the highest-leverage problems, design the solutions, and ship them to operators moving freight across 112 countries. If that sounds like your idea of a good time, read on.

What You'll Do

You'll build the cutting-edge agents and AI-powered applications that make Flexport's operations smarter, faster, and increasingly autonomous. That means:

• Designing and shipping end-to-end AI agents that handle real logistics work—customs compliance, document processing, exception management, and more
• Crossing organizational boundaries to understand problems deeply, align stakeholders, and get things done without waiting for permission
• Moving fast from idea to production, treating every deployment as a learning opportunity
• Working directly with operators, domain experts, and leadership to turn ambiguous problems into shipped solutions

You Should Have

• 10+ years of software engineering experience; you've built with LLMs extensively—whether in production, side projects, or just because you couldn't stop yourself
• Strong product instincts: you can identify what's worth building, not just execute on a spec
• LLM fluency: agent patterns, RAG, prompt engineering, tool use, evaluation. You know what works in production and what looks good in demos
• Full-stack capability in TypeScript and Next.js—you can own a feature end to end
• An entrepreneurial drive: you thrive in ambiguity, move fast, and don't wait to be told what to do
• Excellent communication: you can work across teams and disciplines to get alignment and unblock yourself
• An audacious appetite for impact: you're not here to maintain—you're here to change how global trade works

Nice to Have

• Experience with workflow orchestration (Temporal, etc.)
• Experience building internal tools or operator-facing applications

How We Work

• We come to the office 3 times a week to hang out, whiteboard, and ship together
• We have the latest hardware and software—including frontier AI models on day one
• We're agile, but not dogmatic. Teams decide how they work best
• Stack: Next.js, TypeScript, Postgres, Snowflake. For AI: Anthropic, OpenAI, Google AI APIs

Why This Role Is Special

• Your work is visible: This is a small, senior team reporting directly to the VP of Engineering. What you build gets noticed, and your ideas shape the direction
• Real stakes: thousands of containers, 112 countries, $19 billion of goods. Your agents will have immediate, measurable impact
• Full ownership: from problem definition to production deployment, it's yours
• You're early: the playbook for applied AI in enterprise logistics doesn't exist yet—you'll help write it

What's in it for you: 

• An opportunity to contribute to one of the fastest-growing companies, where you’ll have the chance to create a global impact while being a part of a  thriving multinational environment 
• Daily catered lunches incl. vegetarian options, breakfast, snacks and soft drinks available in our office on daily basis 
• Commute expenses: Flexport will cover  home-office commuting costs for employees living outside of Amsterdam
• 25 working days as vacation days based on full time employment.
• Health insurance: Flexport offers a collective health insurance plan including a basic package and any available additional packages. Your monthly premium is fully paid by Flexport. 
• A defined pension contribution scheme
• Equity program: every team member becomes a shareholder, aligning our success with yours. As a private company in a multi-trillion dollar industry, you have a direct stake in our collective growth and success.
• Employee Assistance Program through Aetna Resources for Living: Flexport provides an employer-sponsored program at no cost to you and your household members
• Parental leave benefit: Flexport is here to support you and your families in one of the most important times in life – the birth of a child! Our parental leave program allows both mothers and partners to take time off from work for pregnancy, childbirth, and to bond with your new child.

The AI & Automation Lead at Suitsupply, you'll play a crucial role in deploying and maintaining Automation solutions to support Suitsupply’s ambitious growth plans. As an Automation Lead, you collaborate with cross-functional teams to understand business requirements and implement effective solutions that enhance their business processes, automate workflows, and overall performance. 

What you will do: 

• Identify opportunities and implement automations of processes within different functional areas. 
• Context (prompt) engineer/Low-Code solutions for existing manual or inefficient areas of works that will yield significant time savings to teams. 
• Improve existing automation processes using workflows, validation rules, process builder, and other automation tools to improve efficiency. 
• Evaluate, and help implement best in market AI or other SaaS tools that will dramatically improve the speed and effectiveness of teams. 
• Conduct training sessions to ensure all team members are proficient in using new processes and/or tools 

Who you are: 

• Proven experience (3-5 years) as a Automation/Context Engineer or similar role is preferred. Keen interest in AI and emerging AI tools is a must.  
• Strong commercial understanding of business processes and best practices. 
• Proficiency in Context engineering/automation tools such as Cursor, Claude Code, LLMs etc.  
• Experience with data management and structures
• Detail oriented problem solver with string analytical skills 
• Strong communication and interpersonal skills to interact with cross-functional teams effectively 
• Professional understanding in Python is required
• Ability to adapt to a fast-paced and dynamic work environment 

What you will get

• Autonomy: We empower you to take ownership, make meaningful decisions, and drive impact without layers of sign-off.
• Growth: We see your potential as a key asset. At Suitsupply, you’ll have abundant opportunities to learn, grow, and excel in a supportive environment that encourages development at every step.
• Corporate Social Responsibility: Our commitment to sustainability and ethical business is unwavering. We work exclusively with suppliers who uphold the highest standards, in alignment with the International Labour Organization.
• Style: Immerse yourself in a world of beautifully crafted, high-quality products, and enjoy a 40% discount on Suitsupply products.

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We are now building services and agentic tools that provide AI coding agents and end users with deeper context about codebases. Our code retrieval service already delivers meaningful improvements in agent speed and task performance, and we aim to push this further – extracting richer insights than snippets alone at the scale of several hundred thousand repositories. 

We are looking for an AI Engineer who can design and implement agentic tools from scratch, bring them to the end users, and make coding with agents smarter, faster, and more reliable.

In this role, you will:

• Translate product needs into agentic tools and services and ship them to production.
• Scale prototypes to large numbers of users.
• Improve and test our semantic search service.
• Build evaluation pipelines for code retrieval and coding task performance.

We’ll be happy to have you on our team if you have:

• At least five years of hands-on NLP experience.
• Experience in information retrieval systems.
• Strong experience in LLM prompt and tool engineering, as well as with AI agents.
• Solid programming skills in Python and/or Kotlin (and the willingness to learn the language you’re unfamiliar with).
• Experience building and operating production-grade software systems.

We’d be especially thrilled if you have:

• Experience developing in Kotlin or Java.
• Previously worked with code intelligence (e.g. AST, symbol graphs).

#LI-DNI

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning. 

Spectrum collects data from an organization’s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that’s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
• Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
• Establishing MLOps practices, including orchestration, observability, and experiment tracking.
• Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
• Defining hiring criteria, growing the ML team, and shaping the ML team culture.

We expect you to have:

• A proven track record as an ML/AI Lead.
• At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
• Vector databases and retrieval-augmented generation (RAG) patterns.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal. 

Our ideal candidate would have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• The ability to think strategically about product-led AI, beyond just training models in isolation.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.

#LI-KP1

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.

Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior AI/ML Engineer to build and evolve the ML-powered systems at the heart of our product.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction and retrieval, and subsequent reasoning.
• Creating datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving AI agents, which will involve prompt engineering, model selection, and inference optimization.
• Contributing to our MLOps practices, including orchestration, observability, and experiment tracking.

We expect you to have:

• At least four years of experience building ML/AI systems in production environments, with hands-on LLM experience.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangGraph, Pydantic AI, or an equivalent.
• Retrieval-augmented generation (RAG) patterns and vector databases.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal.

Our ideal candidate would also have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer:

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• Opportunities to publish research at top venues in collaboration with JetBrains Research.

#LI-DNI

About the Role

We’re looking for a Junior Security Operations Engineer who is AI-Forward to help scale and modernize our SecOps program. This is a hands-on, builder role for someone who will design and ship the security tooling that powers our triage, investigations, and response workflows.

You’ll report to the Technical Operations Director and work alongside our GRC lead to improve our vulnerability intake, threat response, darkweb posture, and internal security tooling. A core part of this role is building AI-assisted security tooling: triage agents that pre-classify bug bounty reports, investigation copilots that pull context from logs and SIEM data, response workflows that draft remediation steps and track them to closure. You’ll spend as much time wiring up that tooling as you will reproducing vulnerabilities and working incidents.

This role suits someone who thrives in a lean, high-impact environment, has strong opinions on where humans add value versus where tooling should take over, and wants to shape how a modern security team operates.

What You’ll Do

Triage & Vulnerability Management

• Review incoming vulnerability reports from our bug bounty intake; reproduce and document valid issues for engineering teams.
• Build the tooling that improves signal-to-noise: automate duplicate detection, spam filtering, and abuse flagging so humans only touch what’s worth touching.
• Act on DAST findings: coordinate remediation, verify fixes, and re-test.
• Track remediation timelines for critical vulnerabilities and keep stakeholders honest on SLAs.

Threat Response & Monitoring

• Monitor and respond to EDR and cloud security alerts; investigate, contain, and document.
• Analyze darkweb findings and credential exposures; shape our darkweb monitoring practices and tooling over time.
• Improve detection coverage: tune noisy rules, close gaps, and enrich alerts with context so responders spend time on decisions, not data gathering.
• Help configure and tune DLP, SIEM, and AI security tooling.

Security Tooling (core to this role)

• Build AI-assisted triage tooling that pre-classifies bug bounty reports, flags duplicates, and routes real issues to the right engineering team with reproduction context attached.
• Build investigation tooling: LLM-backed copilots and Slack bots that pull alert context, correlate signals across sources, and surface what actually matters.
• Build response tooling: workflows that draft remediation steps, generate evidence artifacts, and track issues to closure across the teams that own them.
• Evaluate emerging AI security tooling and bring what’s genuinely useful into the stack; retire what isn’t.
• Apply a security-minded lens to our own AI usage: prompt injection, data exfiltration, model misuse, and the guardrails that go around them.

Compliance & Cross-Functional

• Support audit evidence collection for SOC 2, ISO 27001, and PCI DSS.
• Partner with ITOps to verify patches, endpoint coverage, and access hygiene.

You May Be a Good Fit If You Have

• Previous experience in a SecOps, Security Analyst, or Threat Response role.
• Proven ability to understand and reproduce technical vulnerabilities. You can read a bug report and tell whether it’s real.
• Experience with bug bounty triage (HackerOne, Bugcrowd, or similar).
• Hands-on exposure to SIEM, EDR, and DLP tools in production environments.
• A genuine, demonstrated interest in applying AI/LLMs to security work: side projects, internal tooling, prompt engineering, agent frameworks, anything that shows you’ve actually built with this stuff.
• Scripting and automation skills in Python, Bash, or similar. You reach for code before you reach for a checklist.
• Comfort working autonomously across time zones and asynchronously.
• Strong written communication. You can turn a messy investigation into a clear, defensible writeup.

Bonus Points For

• Experience building LLM agents, RAG pipelines, or Slack bots backed by OpenAI / Anthropic / open-source models.
• Detection engineering experience (Sigma rules, custom Falcon queries, Grafana/Loki dashboards).
• Cloud security depth in AWS or GCP (IAM, workload posture, cloud-native logging).
• Prior work in regulated environments (SOC 2, ISO 27001, PCI DSS) from the practitioner side.
• Exposure to AI/ML security concerns such as prompt injection, model evals, and data leakage through LLMs.
• Public contributions: blog posts, CVEs, open-source tools, CTF writeups.

Engagement & Logistics

• Full-time contract.
• Remote-first and async-friendly. We have hubs in San Francisco, Denver, Dublin, and Amsterdam. If you’re near one, we’d love to see you in the office regularly; if you’re elsewhere in the world, that works too.
• Potential to extend or convert based on fit.
• Reports to the Technical Operations Director; works closely with the GRC lead and IT Operations.

How We Work

We’re a lean, high-trust team. We value people who ship, who can operate independently, and who treat security as an engineering problem rather than a checklist. If you’re someone who sees a repetitive task and immediately thinks “this should be a script, or better yet, an agent,” you’ll fit in here.

To Apply

Tell us about a time you used AI, automation, or custom tooling to meaningfully change how a security workflow ran. What was manual before, what it looked like after, and what you learned. Links to code, writeups, or demos are welcome.

Role Description

• As a Senior Management & Technology Consultant - AI & Process Analytics (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Applied AI Solutions Consultant (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Applied AI Engineer, you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Applied AI Solutions Architect (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Who we are

At OpenUp, our mission is to make mental well-being accessible to everyone. Following a ‘high tech & high touch’ approach, we support companies, their employees, and their families with proactive and practical mental health services. Through our digital platform, clients can access 1:1 check-ins, online courses, articles, videos, group sessions, mindfulness practices, and a team of committed mental well-being experts. As we believe that mental and physical well-being are deeply connected, we have also added Lifestyle Experts to our offering, focusing on nutrition, exercise, and sleep. We offer a truly holistic approach that helps people take ownership of their health. We’re proud to work with forward-thinking organizations and are committed to raising the bar on accessible care.

OpenUp was ranked in the Top 3 on LinkedIn’s Top Startups list for 2023, 2024 & 2025 and is continuously growing. We are expanding our international teams and we are searching for like-minded talent. We are already serving 2000+ companies (e.g. Rituals, Deloitte, Decathlon, KPMG, and McDonalds), through which 600K+ employees have access to our product.

About the role

As a Senior AI Engineer at OpenUp, you will own the design, build, and evolution of our AI-powered product experiences — starting with our AI Guide, which serves 600K+ users seeking mental and physical wellbeing support.

We're moving from single-prompt to multi-agent architectures that orchestrate tools, manage memory, and hold meaningful conversations at scale. You'll focus on conversational quality, evaluation infrastructure, and user trust — knowing the difference between a demo and a production system.

• Evaluation as a first-class concern. We operate in mental health, where a bad recommendation isn't just a UX issue. You'll build pipelines that measure conversational quality, safety, and clinical appropriateness — with regression detection before every deployment.
• Model-agnostic architecture. You'll design abstraction layers that allow seamless switching between Azure OpenAI, open-source models, and future providers.
• Prompt engineering at scale. You'll design, version, test, and optimise prompts across multiple agent personas — and build tooling that makes iteration fast, measurable, and safe.

You'll collaborate closely with Product, Design, Backend Engineers, and Security to translate product intent into scalable, trustworthy AI systems.

Responsibilities

• Multi-agent architecture and orchestration: Design and build agent-based systems that go beyond rigid scripts. Implement orchestration patterns including tool usage, inter-agent communication, memory management, and context handling. Own architectural decisions about when to use single-agent vs. multi-agent approaches and how agents hand off to each other.
• Evaluation and quality infrastructure: Build and maintain evaluation pipelines that catch regressions before users do. Design golden datasets, automated evaluation rubrics, and monitoring dashboards. Establish quality gates that every prompt change and model update must pass. This is the most critical part of the role in a mental health context.
• Prompt engineering and optimization at scale: Design, version, and optimize prompts across multiple agent personas and conversation types. Build the tooling and processes that make prompt iteration systematic: A/B testing frameworks, performance benchmarks, cost analysis, and safety checks. Treat prompt engineering as a proper engineering discipline with version control, testing, and rollback.
• RAG and grounding systems: Build AI systems grounded in OpenUp content using techniques such as RAG and agentic retrieval. Ensure the AI Guide draws from verified clinical content, articles, and expert knowledge rather than generating unsupported claims. Optimize retrieval quality, relevance, and latency.
• Production AI systems: Productionize AI solutions on Azure, including monitoring, observability, and continuous improvement. Own the operational health of AI features: latency, cost, error rates, and user satisfaction metrics. Work with the platform team on deployment, scaling, and reliability.
• Model-agnostic design for data sovereignty: Contribute to architecture decisions that keep the application layer decoupled from any single model provider. Design configuration-driven model selection and data isolation patterns that enable future private cloud and on-premise deployment scenarios for enterprise customers.
• Cross-functional collaboration: Collaborate with Product and Design to align AI behavior with intended user experience. Work with clinical advisors on safety and appropriateness. Balance user experience with privacy, safety, and compliance requirements (GDPR, EU AI Act).

About you

You are curious about how technology is rapidly evolving and our place in it, and motivated by building solutions that have a real impact on people's lives. You believe that learning comes from action, iteration and feedback, and that strong user value and trust go hand in hand.

• 5+ years software engineering experience, with at least 2+ years building and shipping AI or LLM-based systems in production
• Strong background in data science or machine learning. You understand statistical evaluation, experimental design, and can reason about model performance beyond accuracy scores
• Fluent in Python. Experience with .NET is a plus (our backend stack includes .NET, SQL Server, and ReactJS)
• Hands-on experience with multi-agent or agent-based architectures: orchestration, tool calling, memory, state management
• Experience designing and operating evaluation pipelines for LLMs or conversational systems. You have opinions on how to measure conversational quality and can build the infrastructure to do it
• Experience with prompt engineering at production scale: versioning, A/B testing, regression detection, cost optimization
• Working knowledge of Azure OpenAI or similar LLM platforms (OpenAI, Anthropic, Google)
• Familiarity with embeddings, vector search, RAG, and grounding techniques
• Ability to reason about AI risks: hallucinations, failure modes, adversarial inputs, and trust concerns in sensitive domains
• Bachelor's or Master's degree in computer science, data science, machine learning, or equivalent experience
• Fluent in English

Nice to have

• Experience with open-source LLMs (Llama, Mistral, or similar) and self-hosted model deployment
• Experience working in regulated or trust-sensitive domains (healthcare, mental health, fintech)
• Background in NLP, conversational AI, or dialogue systems
• Experience with Azure AI Agent Service, Semantic Kernel, or similar orchestration frameworks
• Familiarity with fine-tuning techniques and model adaptation
• Knowledge of EU AI Act compliance requirements

What you can expect 

Joining OpenUp means being part of a fast-growing company that's doing something meaningful. You'll work with a diverse and international team. We like to have fun together with a lot of team building activities like our weekly ‘borrels’ and after work sport classes, the yearly ski-trip and our Padel tournament. Which makes our work fun, challenging and dynamic. Apart from this, we offer: 

• €1500 annual personal development budget
• ClassPass: OpenUp contributes towards your classpass membership 
• Monthly home internet/phone contribution (50EUR)
• Daily healthy and vegetarian lunch at our office.
• Regular office yoga, meditation classes or breathing exercises
• Flexible work model (hybrid and options for remote work).
• Monthly drinks and company wide summer fest and other fun activities.
• 27.5 vacation days per year.
• Free and unlimited access for you and your family to all our products, including our psychologists.

Next steps

Excited about this role at OpenUp? We love to learn more about you. Send us your application through our website and we will be in touch with you soon.

At OpenUp, everyone is welcome to apply - regardless of color, age, gender, nationality or any other label. We embrace what makes you unique and we believe that a diverse team is crucial to success. If you are ready to OpenUp, join us!

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

AI features in JetBrains IDEs, developed by the IntelliJ AI team, have quickly become a core part of how developers work inside our IDEs. The IntelliJ AI team partners with product groups across JetBrains to embed advanced AI features that accelerate developer workflows and deliver real value to software engineers.

We are currently looking to hire a Senior Machine Learning Engineer to help us realize our ambitious vision of creating AI assistance that supports the entire development lifecycle across JetBrains IDEs. If selected, you will join the ML subteam within IntelliJ AI, driving the development of our ML system from end to end by defining evaluation and metrics, shaping context orchestration, and helping product teams tailor AI capabilities to their needs.

In this role, you will:

• Design and drive evaluation frameworks for AI features, including metrics, experiments, and agent trace analysis.
• Diagnose model performance issues (e.g. prompt drift, context mismatches, and latency/quality trade-offs) and translate findings into actionable improvements.
• Experiment with contexts and lightweight models to continuously develop our ML system.
• Act as the ML liaison for product teams across JetBrains, adapting and scaling AI capabilities in JetBrains IDEs to their needs.
• Build and maintain small helper models (e.g. re-rankers, classifiers, embedding models) to support domain-specific tasks.
• Collaborate with colleagues in ML, product, engineering, and analytic teams to deliver improvements and monitor their impact in production.
• Stay up to date with research in the fields of LLMs, agents, and evaluation, bringing best practices into our workflows.
• Mentor junior engineers and help shape team culture, processes, and tooling around experimentation and evaluation.

We’d be happy to have you on our team if you: 

• Have 5+ years of experience as an ML Engineer, with a solid background in production-grade ML systems (especially LLMs and agent architectures).
• Have experience with LLM evaluation methods and frameworks.
• Can design and run end-to-end experiments – hypotheses, metrics, data collection (including traces/logs), analysis, and decision-making.
• Are skilled in context-aware pipelines or conversational/agent systems.
• Have strong Python programming skills.
• Bring hands-on experience in fine-tuning or training smaller models (e.g. domain-specific fine-tuning and lightweight customizations).
• Communicate clearly and effectively across teams, translating ML/AI insights into product features.
• Have prior mentorship experience with ML/evaluation engineers.
• Thrive in a cross-functional, fast-moving environment, taking ownership, iterating quickly, and delivering results.

We’d be especially thrilled if you have: 

• Familiarity with agent-based systems and orchestrating multi-step reasoning agents.
• Experience with the Kotlin programming language.

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