Creatio

No-code AI CRM and workflow platform

AI Software Engineer

AI Application Engineering +1Confirmed live in the last 24 hours

Full-timeRemote in UkraineNo salary listedRemote

About the Job

Requirements

Hands-on experience shipping LLM-based features to production, including prompt engineering, function and tool calling, structured outputs, context-window management, and cost management.
Practical understanding of agent architectures, including tool loops, planner/executor patterns, multi-agent systems, human-in-the-loop workflows, MCP, and at least one agent framework or SDK.
Working knowledge of RAG, including chunking, embeddings, vector and hybrid search, re-ranking, grounding and citations, and common failure modes.
Experience with AI evaluation datasets, offline evaluations, LLM-as-judge, LLM observability and tracing, and AI security, including prompt injection, OWASP Top 10 for LLM Applications, and Responsible AI practices.
Daily proficiency with AI coding agents, including directing, reviewing, and verifying their output rather than only writing code by hand.
Solid experience with C# and .NET, API design, distributed systems, and software architecture.
Experience with SQL databases, automated testing, CI/CD, cloud-native development, Docker, and basic Kubernetes.
Strong knowledge of engineering best practices and production-grade software development.

Responsibilities

Design and implement AI-powered product features within the Creatio platform, including assistants, copilots, agentic workflows, knowledge systems, RAG, and semantic search.
Design agent architectures covering tools, memory and context strategy, orchestration, permissions, guardrails, and human-in-the-loop escalation, and select an appropriate pattern for each problem, such as a single LLM call, a tool-using agent, or a multi-agent system.
Engineer prompts, system instructions, and agent context as versioned, reviewed artifacts covered by evaluations.
Integrate LLM providers, MCP servers and tools, enterprise data sources, embedding pipelines, and vector or hybrid search into the platform.
Build evaluation datasets, offline and online evaluations, quality gates, and observability including tracing, logging, and drift detection for AI capabilities.
Monitor and improve the quality, latency, cost, reliability, and security of AI capabilities in production, including prompt and model updates.
Identify and mitigate AI-specific risks, including prompt injection, data exfiltration through tools, hallucinations, over-permissioned agents, and sensitive-data leakage.
Develop and maintain backend services using C# and .NET.
Use AI coding assistants and engineering agents as the default development workflow, critically review and verify agent output, and contribute reusable rules, skills, and prompts to the team.
Follow the AI landscape closely and bring new models, tools, and patterns to the team.

Desired Qualifications

Python for prototyping, data work, and evaluation scripting.
Hands-on experience with a major AI platform such as Anthropic API, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
Experience building agent-facing tools or MCP servers.
LLMOps practices, including prompt and model versioning, evaluation gates in CI/CD, and canary rollouts of prompt changes.
Fine-tuning, distillation, or adapter-based model customization.
Experience with Creatio or other low-code CRM platforms.

Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.

We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.

In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.

Who We’re Looking For:

We are looking for an AI Software Engineer to design, build, evaluate, and operate AI-powered capabilities within the Creatio platform. This is an AI-first engineering role: you will spend most of your time designing agents, engineering prompts and context, building retrieval and evaluation pipelines, and directing AI coding agents - with solid .NET engineering as the foundation rather than the whole job.

You will join the AI teams building the agent platform that enables AI agents to safely perform real work in the product: call tools and APIs, read and write data, maintain context and memory, follow permissions, and escalate to humans when needed.

The team also owns the core infrastructure for evaluation, monitoring, logging, observability, and cost/performance control, ensuring AI agents are reliable, scalable, secure, and production-ready.

This role combines strong software engineering expertise with hands-on AI engineering experience. You will work on enterprise-grade AI solutions, including assistants, copilots, knowledge systems, semantic search, RAG-based capabilities, and agentic workflows - and you will use AI coding agents as your primary daily development workflow.

Responsibilities:

Design and implement AI-powered product features within the Creatio platform: assistants, copilots, agentic workflows, knowledge systems, RAG, and semantic search.

Design agent architectures - tools, memory and context strategy, orchestration, permissions, guardrails, and human-in-the-loop escalation - and choose the right pattern for each problem (single LLM call vs. tool-using agent vs. multi-agent).

Engineer prompts, system instructions, and agent context as first-class artifacts: versioned, reviewed, and covered by evaluations.

Integrate LLM providers, MCP servers and tools, enterprise data sources, embedding pipelines, and vector/hybrid search into the platform.

Build evaluation datasets, offline and online evals, quality gates, and observability (tracing, logging, drift detection) for AI capabilities.

Monitor and improve the quality, latency, cost, reliability, and security of AI capabilities in production, including prompt and model updates.

Identify and mitigate AI-specific risks: prompt injection, data exfiltration through tools, hallucinations, over-permissioned agents, and sensitive-data leakage.

Develop and maintain backend services using C# and .NET.

Use AI coding assistants and engineering agents as the default development workflow; critically review and verify agent output; contribute reusable rules, skills, and prompts to the team.

Follow the AI landscape closely and bring new models, tools, and patterns to the team.

Requirements:

Must have:

Hands-on experience shipping LLM-based features to production: prompt engineering, function/tool calling, structured outputs, context-window and cost management.

Practical understanding of agent architectures (tool loops, planner/executor, multi-agent, human-in-the-loop), MCP, and at least one agent framework or SDK.

Working knowledge of RAG: chunking, embeddings, vector and hybrid search, re-ranking, grounding and citations, and common failure modes.

Experience with AI evaluation (datasets, offline evals, LLM-as-judge), LLM observability and tracing, and AI security (prompt injection, OWASP Top 10 for LLM Applications, Responsible AI practices).

Daily proficiency with AI coding agents: the ability to direct, review, and verify agent output rather than only write code by hand.

Solid experience with C# and .NET, API design, distributed systems, and software architecture.

Experience with SQL databases, automated testing, CI/CD, and cloud-native development; Docker and basic Kubernetes.

Strong knowledge of engineering best practices and production-grade software development.

Nice to have:

Python for prototyping, data work, and evaluation scripting.

Hands-on experience with a major AI platform (Anthropic API, Azure OpenAI, AWS Bedrock, Google Vertex AI).

Experience building agent-facing tools or MCP servers.

LLMOps practices: prompt and model versioning, evaluation gates in CI/CD, canary rollouts of prompt changes.

Fine-tuning, distillation, or adapter-based model customization.

Experience with Creatio or other low-code CRM platforms.

What to expect from us:

Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.

Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.

Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.

Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.

Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

About the Company

Creatio

No-code AI CRM and workflow platform

Creatio provides an AI-native platform for automating CRM and business workflows using no-code tools. It lets organizations build and run customer-facing and internal processes by combining human-led work with AI agents that can carry out tasks from start to finish. The platform includes Creatio Business and AI Studio to build applications and manage AI agents, CRM apps for sales, marketing and customer service, and Bank.AI for banks and credit unions. It also offers ready-made workflows for more than 20 industries and a marketplace of add-ons and connectors. Creatio targets midsize and large organizations across banking, manufacturing, telecommunications and the public sector, selling the platform as a subscription largely through a global network of partners, with training and certification available through an online academy.

Company size: 1,001-5,000
Company stage: Late Stage VC
Total funding: $268M
Headquarters: Boston, MA
Founded: 2013

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