Senior Applied AI Engineer

Posted 2 Days Ago
Be an Early Applicant
2 Locations
Remote
Senior level
Information Technology • Esports
The Role
Design, build, and ship production-ready AI capabilities (LLM agents, RAG, knowledge pipelines, automation) end-to-end. Implement secure integrations, observability, evaluation frameworks, and scalable AI infrastructure while partnering with technical and business teams to operationalize LLM-driven workflows.
Summary Generated by Built In

About Us: 

Delasport is where technology meets the excitement of sports and gaming! As a proven innovator in iGaming software, we provide everything from platform development to player account management. Our platform is designed to make every player feel like the star of the show, with personalized experiences and cutting-edge technology at its heart. 

Since our founding in 2010, we have won multiple international awards and have established a proven track record of excellence, stability, and overall success. This achievement only drives us to reach even greater heights. Currently, we are proud to have over 500 experts across various business fields and several offices in Bulgaria (Sofia and Plovdiv), Ukraine, and Malta. 

About The Role:

We're building Delasport's Enterprise AI Platform - a secure platform that enables engineering and business teams to automate work with AI at scale.

As a Senior Applied AI Engineer, you'll design and build production-ready AI capabilities including LLM agents, RAG systems, secure integrations, automation pipelines, evaluation frameworks, and AI infrastructure.

You'll own projects end-to-end - from solution design through implementation, testing, deployment, and continuous improvement.

Why This Role Is Exciting:

  • Build foundational AI capabilities that will be used across the company.
  • Work on production AI systems rather than isolated proof-of-concepts.
  • Partner with both technical and business teams to deliver measurable impact.
  • Explore emerging AI technologies and turn promising ideas into practical solutions.
  • Take on the challenge of shaping platform standards and architecture decisions.

How You'll Make an Impact:

  • Build and integrate AI-powered workflows, automation systems, and LLM-based agents for engineering, operations, support, and knowledge management.
  • Design multi-agent workflows and securely connect AI agents to internal APIs, databases, monitoring platforms, ticketing tools, and CI/CD systems.
  • Develop RAG solutions, knowledge pipelines, intelligent search, and documentation-driven workflows.
  • Improve the quality and reliability of production AI systems through evaluation frameworks, observability, LLMOps best practices, and performance optimization.
  • Contribute to standards for agent development, prompt design, workflow design, guardrails, and production readiness.
  • Research emerging AI technologies, run proof-of-concepts, and turn promising ideas into scalable platform capabilities.

Core Engineering Expectations:

  • Strong Python engineering skills with experience building clean, maintainable backend services, APIs, integrations, and automation solutions for production environments.
  • Experience designing resilient integration flows, including authentication, authorization, error handling, retries, rate limiting, and observability.
  • Strong testing practices, including unit, integration, regression, and evaluation testing, supported by CI/CD quality controls.
  • Solid understanding of Git workflows, code reviews, release management, and production support.
  • Sound engineering judgment and the ability to make decisive technical decisions around scalability, reliability, security, and cost.
  • Ability to clearly document architecture decisions, integration contracts, operational runbooks, and evaluation outcomes.

What You'll Work With:

You do not need hands-on experience with every technology listed below. We value strong engineering fundamentals, practical AI delivery experience, and the ability to learn quickly over matching every tool or framework.

Core Areas

Examples of Tools & Patterns

AI Agents & Workflows

AI Agent Platform, Hermes Agent, multi-agent and cross-agent workflows, Mixture of Agents patterns

Secure Integrations

MCP servers, AI gateways, internal APIs, ticketing systems, CI/CD, monitoring and operational platforms

Knowledge & Retrieval

RAG, embeddings, vector search, documentation pipelines, intelligent retrieval, context engineering

LLMOps & Evaluation

Langfuse-style tracing, prompt/version tracking, evaluations, guardrails, production monitoring

Inference & Model Runtime

Cloud-hosted models, local or self-hosted inference options such as Ollama, vLLM, llama.cpp, or similar tools

Platform Infrastructure

Docker, Kubernetes, GCP, OpenTelemetry, Grafana, Prometheus, OpenSearch 


Who You Are:

  • Practical experience building AI-powered workflows, agents, automation solutions, or internal tools using LLMs and generative AI.
  • Strong software engineering fundamentals with experience building maintainable production systems, APIs, and secure integrations.
  • Experience delivering AI solutions for operations, support, knowledge management, engineering productivity, or workflow automation.
  • Understanding of multi-agent systems, RAG, embeddings, vector search, and modern LLMOps practices, including evaluation, monitoring, and guardrails.
  • Solid understanding of AI system trade-offs, including latency, scalability, reliability, model selection, and cost optimization.
  • Experience with Docker, Kubernetes, CI/CD, and cloud platforms; GCP is a plus.
  • Strong communication skills, with the ability to collaborate effectively across technical and non-technical teams.
  • Curious, collaborative, and confident tackling new challenges.

Nice To Have:

  • Familiarity with MLOps platforms and workflows such as MLflow, Kubeflow, Airflow, SageMaker, or similar technologies.
  • Experience in Sportsbook, iGaming, fintech, or other high-scale platform environments.
  • Experience with Kubernetes-native AI automation frameworks or internal developer platform automation.
  • Experience with local models, self-hosted inference, edge AI, or hybrid model strategies.
  • Exposure to model benchmarking, red-teaming, AI safety testing, or governance practices.

What We're Looking For:

We're looking for a senior engineer who enjoys building practical AI systems that solve real engineering and business challenges.

You may come from Applied AI, Backend Engineering, Platform Engineering, DevOps, SRE, Data Engineering, or Automation Engineering backgrounds. What matters most is strong engineering judgment, hands-on delivery experience, and the ability to build reliable AI-powered solutions.

We do not expect candidates to be experts in every technology, framework, or pattern listed in this job description. If you have strong engineering fundamentals, practical AI experience, and a passion for solving complex problems, we'd love to hear from you.

What We Offer:  

We’re not just about work,  we are about creating a great place to grow, connect, and enjoy the journey. Here’s what you can expect when you join us: 

  • Competitive Salary Package: We value your skills, dedication, and contributions 
  • Time Off: Enjoy 21+ days of annual paid leave so you can rest, recharge, and come back inspired 
  • Bonus & Rewards: Performance-based annual bonuses, special vouchers for birthdays and welcoming a newborn 
  • Health & Wellness: Additional Health insurance including dental care; Co-funding a Multisport/Coolfit card to help you stay active 
  • Extra Benefits: Employee discounts at various retailers and a monthly allowance for public transportation 
  • Great Office Locations: Central office location in Sofia and Plovdiv 
  • Relax & Recharge Zone: Take a break with colleagues in our PlayStation and Pool Table - perfect for recharging during the day 

Wait, there’s more: 

  • Happy Hour Fridays: Every Friday we host themed Happy Hours with snacks, fun activities, and plenty of opportunities to connect and unwind with colleagues 
  • Multicultural Days: Celebrate diversity and experience the traditions, food, and cultures of teammates from around the world 
  • Massages at the Office: Weekly Free Recreational Massages to help relax during the workday 
  • Chess Lessons: Sharpen your strategic thinking and enjoy collaborative and fun chess sessions with colleagues 
  • Sports & Football Team: We regularly participate in various sports events and have our own Delasport Football Team, taking part in the IT League 
  • Bulgarian Language Lessons: Classes designed to facilitate smoother communication for non-native speakers. 
  • Office Library: Enjoy access to technical literature to expand your knowledge 

Ready to Be Part of Something Big? 

If you’re excited to join a team that’s revolutionizing the iGaming world and want to make a real impact, apply today. We can’t wait to meet you!

#LI-HYBRID



Skills Required

  • Strong Python engineering skills for building production backend services, APIs, integrations, and automation
  • Experience designing resilient integration flows including authentication, authorization, error handling, retries, rate limiting, and observability
  • Strong testing practices including unit, integration, regression, and evaluation testing with CI/CD quality controls
  • Solid understanding of Git workflows, code reviews, release management, and production support
  • Ability to make technical decisions around scalability, reliability, security, and cost
  • Ability to document architecture decisions, integration contracts, operational runbooks, and evaluation outcomes
  • Practical experience building AI-powered workflows, LLM-based agents, automation solutions, or internal tools using LLMs/generative AI
  • Experience delivering AI solutions for operations, support, knowledge management, engineering productivity, or workflow automation
  • Experience with RAG, embeddings, vector search, knowledge pipelines, and intelligent retrieval
  • Experience with LLMOps practices including evaluation, monitoring, prompt/version tracking, and guardrails
  • Experience with Docker and Kubernetes
  • Experience with CI/CD and cloud platforms
  • Experience with GCP
  • Familiarity with MLflow, Kubeflow, Airflow, or SageMaker (MLOps platforms/workflows)
  • Experience with local/self-hosted inference or tools like Ollama, vLLM, llama.cpp
  • Experience in Sportsbook, iGaming, fintech, or other high-scale platform environments
  • Experience with model benchmarking, red-teaming, AI safety testing, or governance practices
  • Strong communication skills and ability to collaborate across technical and non-technical teams
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The Company
HQ: Plovdiv
453 Employees
Year Founded: 2010

What We Do

Delasport is a leading iGaming software supplier that delivers a modern one-stop-shop solution for sports betting, online casino, and player account management. Our platform focuses on player experience through personalization, unique exciting ways to bet, strong retention capabilities with rich player engagement suite and cutting-edge technological innovations. Since its founding in 2010, Delasport has won multiple international awards for its sportsbook and managed services, and has gained a proven track record of excellence, stability, and overall success. Currently, Delasport has hundreds of experts in various IT, Operations and business fields and several offices: in Bulgaria (Sofia and Plovdiv), Ukraine, and Malta

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