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BMC Software

IT management software for mainframes

Senior AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timePoland

About the Job

Requirements

  • 5–8 years of relevant experience.
  • A Bachelor's or Master's degree in Computer Science, AI, ML, or a related field, or equivalent experience.
  • Hands-on experience with large language models such as OpenAI, Anthropic, Gemini, or Llama, or equivalent models.
  • Familiarity with agentic frameworks such as LangGraph, LangChain, or CrewAI, and agentic software development kits as appropriate to the level.
  • Understanding of prompt engineering, tool/function calling, planning, reasoning, and workflow orchestration.
  • Experience with Python, REST APIs, microservices, cloud, containers, CI/CD, and testing, with depth varying by level.
  • Experience with evaluations for LLM, RAG, or agent use cases; observability tools such as Langfuse, OpenSearch, or OpenTelemetry as appropriate to the level.
  • Experience leading patterns or practices adopted across multiple teams.
  • Ability to set technical direction for an AI area, beyond delivering features.
  • Ability to balance innovation speed with enterprise quality, safety, and cost.

Responsibilities

  • Design, develop, and maintain enterprise-grade agentic AI applications using modern large language models and AI frameworks.
  • Build autonomous and semi-autonomous AI agents capable of planning, reasoning, decision-making, and task execution.
  • Develop multi-agent systems and orchestrate interactions between agents, tools, APIs, and enterprise applications.
  • Integrate AI agents with internal and external services through APIs, databases, messaging systems, and workflow engines.
  • Build and deploy retrieval-augmented generation (RAG) solutions using vector databases and enterprise knowledge sources.
  • Optimize AI workflows for performance, scalability, reliability, and cost efficiency.
  • Implement observability, monitoring, guardrails, and governance mechanisms for production AI systems.
  • Build and run agent evaluations, define evaluation sets, test behavior, and iterate on prompts, tools, and workflows.
  • Package and deploy solutions in production and apply diagnostics across the AI stack.
  • Collaborate with product teams, architects, and stakeholders; contribute to reviews, documentation, and best practices.
  • Define shared agentic patterns, evaluation practices, and production standards across teams.
  • Lead architecture for cross-cutting AI capabilities used by multiple products or squads.
  • Coach AI engineers and raise standards for quality, safety, and cost discipline.
  • Partner with AI Quality, site reliability engineering, and Security on release gates and operations practices.

Desired Qualifications

  • Experience with frontier or foundation models beyond API usage, including evaluation, adaptation, or fine-tuning.
  • Experience with open-weight models and local inference tools such as vLLM, Ollama, or Hugging Face.
  • Data exploration techniques and tools.
  • Experience with Agile or Atlassian tools and advanced integrated development environments such as Cursor, IntelliJ, or VSCode.

About the Company

BMC Software

IT management software for mainframes

What BMC Software does: It provides software to manage and optimize large enterprise IT environments, from IBM mainframes to modern cloud systems. How its product works: Its tools monitor, manage, and automate IT infrastructure across mainframes, distributed servers, and cloud platforms, helping teams keep systems running, secure, and efficient. How it stands out from competitors: It has a long track record starting with mainframe software and has grown through targeted acquisitions to offer a broad suite for end-to-end IT operations, spanning on‑premises and cloud, with strategic ownership changes that gave it room to adapt. What its goal is: to help enterprises operate complex IT environments more reliably and efficiently by providing integrated software for mainframes, distributed systems, and cloud management.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Houston, TX
Founded
1980

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