CrawlJobs Logo

Python Software Engineer with LLM (Principal)

virtuslab.com Logo

VirtusLab

Location Icon

Location:
Poland , Kielce

Category Icon

Job Type Icon

Contract Type:
B2B

Salary Icon

Salary:

30000.00 - 37000.00 PLN / Month

Job Description:

You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Think of it as an internal startup, with the freedom to innovate and the stability of an established company. Our goal is to design and build an intelligent platform that assists developers at every stage, from coding and debugging to testing and deployment.

Job Responsibility:

  • Design and implement integrations with cutting-edge Large Language Models (LLMs) and APIs (like OpenAI’s models, Anthropic’s Claude, and more)
  • Develop intelligent, agent-based systems to automate and assist in complex software development tasks
  • Engineer the core infrastructure for our AI agents, including components like MCP servers
  • Seamlessly weave AI capabilities into the daily workflows of our developers by integrating with essential tools like GitHub, Slack, IDEs, and client internal services, mostly Scala-based
  • Collaborate within a distributed, international team to research, prototype, and deploy solutions that have a direct impact on developer productivity and satisfaction

Requirements:

  • Proven polyglot programming skills with the ability to rapidly learn new languages, frameworks, and domains
  • Strong, hands-on experience in Python
  • Hands-on, practical experience building with or integrating LLMs, coding assistants, or AI agents
  • A proactive, self-starter attitude
  • Excellent communication skills in English and the ability to effectively collaborate with team members in the US West Coast time zone

Nice to have:

  • A passion for or prior experience in building developer tools, IDE plugins, or enhancing developer workflows
  • Experience with DevOps practices and tools (CI/CD, Docker, Kubernetes, cloud platforms like GCP or AWS)
  • Familiarity with the MLOps or Data Engineering ecosystem, particularly on the integration and tooling side
What we offer:
  • Building tech community
  • Flexible hybrid work model
  • Home office reimbursement
  • Language lessons
  • MyBenefit points
  • Private healthcare
  • Training Package

Additional Information:

Job Posted:
January 17, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Python Software Engineer with LLM (Principal)

Principal AI Engineer

We are looking for a Principal AI Engineer to lead the design and deployment of ...
Location
Location
United States
Salary
Salary:
200000.00 - 300000.00 USD / Year
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of software engineering experience
  • at least 3 years in applied LLM or agentic AI systems (2023–present)
  • proven success in deploying LLM-powered products used by real users at scale
  • deep backend & systems engineering expertise with Python, distributed systems, and scalable APIs
  • familiarity with LangChain, LlamaIndex, or similar orchestration frameworks
  • experience with RAG pipelines, vector DBs, embedding models, and semantic search tuning
  • experience managing performance across cloud providers (e.g., AWS Bedrock, OpenAI, Anthropic, etc.)
  • demonstrated experience building multi-step agents, planning workflows, chaining reasoning steps, and integrating APIs with agent memory/state
  • comfort with advanced prompting strategies, few-shot and chain-of-thought reasoning, and embedding retrieval setups
  • strong understanding of AI system evaluation, human ratings, A/B experimentation, and feedback loop pipelines
Job Responsibility
Job Responsibility
  • Architect and lead the development of multi-agent systems capable of long-horizon planning, reasoning, and API orchestration
  • build reusable agentic components that integrate deeply into sales and marketing processes
  • own and evolve our in-house platform for scalable, low-latency, and cost-efficient LLM and agent deployments
  • lead design of interfaces powered by natural language understanding and retrieval-augmented generation (RAG)
  • build embedding-based, intent-aware search and personalization systems tuned to business user needs
  • drive innovation in personalized outreach generation using context-aware generation pipelines
  • tune inference pipelines, caching layers, and model selection logic for high-scale, cost-aware performance
  • define and drive robust offline and online testing methodologies (A/B, sandboxing, human evals) across agents and LLM flows
  • architect human-in-the-loop systems and telemetry to improve accuracy, UX, and explainability over time
What we offer
What we offer
  • equity
  • company bonus or sales commissions/bonuses
  • 401(k) plan
  • at least 10 paid holidays per year
  • flex PTO
  • parental leave
  • employee assistance program
  • wellbeing benefits
  • global travel coverage
  • life/AD&D/STD/LTD insurance
  • Fulltime
Read More
Arrow Right

Principal AI Engineer

At JFrog, we’re reinventing DevOps to help the world’s greatest companies innova...
Location
Location
Israel , Netanya/Tel Aviv
Salary
Salary:
Not provided
jfrog.com Logo
JFrog
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A bachelor's degree or higher in Computer Science, Data Science, or a related field
  • Proven experience in software development
  • Proficiency in LLM-related tools, processes, and frameworks, including OpenAI Models and APIs, Hugging Face Transformers, LangChain, vector databases, and prompt management tools like PromptPerfect/PromptBase and Guardrails
  • Experience with cloud platforms, such as AWS, Google Cloud, or Azure
  • Proficiency in Python programming
  • Experience deploying LLM-based applications in a production environment
  • Excellent problem-solving and analytical skills
  • Experience with CI / CD tools
  • Strong communication skills and the ability to collaborate effectively in a team
Job Responsibility
Job Responsibility
  • Recommend and test agentic productivity tools
  • Collaborate with key organizational stakeholders to understand AI requirements and design end-to-end AI productivity solutions
  • Explore and experiment with novel ML and AI techniques and architectures to drive DevX and productivity innovation
  • Evaluate and recommend ML and AI tools and frameworks to enhance productivity and effectiveness
  • Provide technical guidance and mentorship to development teams on AI and ML technologies and practices
  • Define meaningful KPIs and closely monitor cost
Read More
Arrow Right

Principal Engineer

The Principal AI/ML Operations Engineer leads the architecture, automation, and ...
Location
Location
United States , Pleasanton, California
Salary
Salary:
251000.00 - 314500.00 USD / Year
blackline.com Logo
BlackLine
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
  • 10+ years in ML infrastructure, DevOps, and software system architecture
  • 4+ years in leading MLOps or AI Ops platforms
  • Strong programming skills in languages such as Python, Java, or Scala
  • Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
  • Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
  • Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
  • Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
  • Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
  • Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads
Job Responsibility
Job Responsibility
  • Define enterprise-level standards and reference architectures for ML-Ops and AIOps systems
  • Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
  • Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
  • Lead incident response and reliability strategies for ML/AI systems
  • Lead the deployment of AI models and systems in various environments
  • Collaborate with development teams to integrate AI solutions into existing workflows and applications
  • Ensure seamless integration with different platforms and technologies
  • Define and manage MCP Registry for agentic component onboarding, lifecycle versioning, and dependency governance
  • Build CI/CD pipelines automating LLM agent deployment, policy validation, and prompt evaluation of workflows
  • Develop and operationalize experimentation frameworks for agent evaluations, scenario regression, and performance analytics
What we offer
What we offer
  • short-term and long-term incentive programs
  • robust offering of benefit and wellness plans
  • Fulltime
Read More
Arrow Right

Principal Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...
Location
Location
United States , Seattle
Salary
Salary:
232000.00 - 319000.00 USD / Year
docker.com Logo
Docker
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles
  • Deep expertise in AI/ML technologies with hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
  • Strong understanding of LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, agent orchestration frameworks, and practical applications of AI in software development workflows
  • Proven track record of architecting and building highly scalable distributed systems and developer-facing platforms
  • Production experience with modern cloud-native infrastructure including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
  • Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
  • Experience designing developer tools, platform engineering systems, or internal tools that enable other teams
  • Exceptional product and platform mindset considering business outcomes, developer experience, and technical trade-offs
  • Strong communication skills with ability to influence technical and non-technical stakeholders across the organization
  • Track record of technical mentorship and elevating engineering teams' capabilities
Job Responsibility
Job Responsibility
  • Define the long-term technical vision and architecture for AI-powered developer tools and the self-service platform that enables teams to build their own AI agents
  • Establish architectural patterns, technical standards, and best practices for LLM integration, AI agent development, and production AI systems serving developers
  • Lead technical strategy for platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
  • Design highly available, scalable infrastructure for hosting AI agents and developer tools with predictable performance and intelligent resource management
  • Drive technical decisions on AI technology choices, LLM provider strategies, prompt engineering approaches, and agent orchestration frameworks
  • Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities
  • Architect and build production-ready AI agents for developer productivity including code review assistants, test generators, deployment diagnostics, and incident response automation
  • Design and implement the self-service platform infrastructure that reduces time-to-production for new AI tools from weeks to days
  • Build systems that accelerate adoption of AI-native development tools (Claude Code, Cursor, Warp) across Docker's engineering organization
  • Establish reliability, security, and performance standards for AI systems including SLOs, monitoring, incident response, and cost management
What we offer
What we offer
  • Freedom & flexibility
  • fit your work around your life
  • Designated quarterly Whaleness Days plus end of year Whaleness break
  • Home office setup
  • we want you comfortable while you work
  • 16 weeks of paid Parental leave
  • Technology stipend equivalent to $100 net/month
  • PTO plan that encourages you to take time to do the things you enjoy
  • Training stipend for conferences, courses and classes
  • Equity
  • Fulltime
Read More
Arrow Right

Principal Software Engineer - Teams AI Features

We are looking for a Principal Software Engineer to join our team to drive all a...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • 2+ years of experience on engineering tooling or eval development
  • 2+ years experience in working on services at scale
  • 1+ years experience in driving fundamentals for AI features within web apps
Job Responsibility
Job Responsibility
  • Define the vision, strategy, and roadmap for how to evaluate AI features for good fundamentals at scale across Teams
  • Lead end-to-end science and technical design for evaluating LLM-powered agents on real-time and batch workloads: designing evaluation frameworks, metrics, and pipelines that capture planning quality, tool use, retrieval, safety, and end-user outcomes, and partnering with engineering for robust, low-latency deployment
  • Establish rigorous evaluation and reliability practices for LLM/agent systems: from offline benchmarks and scenario-based evals to online experiments and production monitoring, defining guardrails and policies that balance quality, cost, and latency at scale
  • Collaborate with PM, Engineering, and UX to translate evaluation insights into customer-visible improvements, shaping product requirements, de-risking launches, and iterating quickly based on telemetry, user feedback, and real-world failure modes
  • Collaborate and mentor across product, research, and engineering teams, sharing best practices on eval design, LLM-as-judge usage, and Responsible AI, and providing code reviews and guidance that raise the bar for the AI features
  • Provide technical leadership and mentorship within the applied science and engineering community, fostering inclusive, responsible-AI practices in agent evaluation, and influencing roadmap, platform investments, and cross-team evaluation strategy across Fabric
  • Fulltime
Read More
Arrow Right

Software Engineer III, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...
Location
Location
United States , Seattle
Salary
Salary:
157000.00 - 222750.00 USD / Year
docker.com Logo
Docker
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years building production-grade backend systems or developer-facing tools with strong software engineering fundamentals
  • Hands-on production experience with AI/ML technologies including practical experience with LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, and AI agent development
  • Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
  • Experience designing and building distributed systems, microservices, or platform infrastructure
  • Strong understanding of cloud-native systems (AWS, GCP, or Azure), APIs, and data stores
  • Solid grasp of CI/CD, automated testing, code review practices, and modern development workflows
  • Demonstrated ability to work independently on day-to-day work with general guidance on new projects
  • Product-minded approach to building developer tools with focus on user experience and measurable outcomes
  • Excellent communication skills in remote, asynchronous environments with ability to document technical decisions clearly
  • Ability to build effective working relationships across multiple teams
Job Responsibility
Job Responsibility
  • Build AI-Powered Developer Tools: Design, implement, and ship production-ready AI agents and tools that accelerate developer productivity such as code review and refactoring assistants, automated test generators, local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call tasks when handling incidents
  • Implement LLM Integrations: Build robust, production-grade integrations with LLM APIs (OpenAI, Anthropic, etc.) such as prompt engineering, response parsing, error handling, rate limiting, cost management, and performance optimization
  • Develop Agent Orchestration Systems: Create agent frameworks and orchestration systems that enable complex multi-step workflows, tool calling, context management, and agent-to-agent communication
  • Contribute to Platform Infrastructure: Build self-service platform capabilities that enable teams across Docker to rapidly deploy and operate their own AI developer tools such as deployment pipelines, observability integration, security controls, and operational tooling
  • Drive Adoption of AI-Native Development: Build tools and programs that accelerate adoption of AI developer tools such as Claude Code, Cursor, and Warp across Docker's engineering organization
  • Ensure Production Quality: Write well-tested code with strong test coverage (unit, integration, end-to-end)
  • establish monitoring, alerting, and operational excellence for AI systems
  • Collaborate Cross-Functionally: Partner with Principal Engineer and Senior Engineers on architecture, work with product and design teams on features and UX, and collaborate with platform teams (Infrastructure, Security, Data) on integrations
  • build effective partnerships across multiple teams
  • Act as Technical Resource: Help teammates solve problems and share knowledge through code reviews and technical discussions
What we offer
What we offer
  • Freedom & flexibility
  • fit your work around your life
  • Designated quarterly Whaleness Days plus end of year Whaleness break
  • Home office setup
  • we want you comfortable while you work
  • 16 weeks of paid Parental leave
  • Technology stipend equivalent to $100 net/month
  • PTO plan that encourages you to take time to do the things you enjoy
  • Training stipend for conferences, courses and classes
  • Equity
  • Fulltime
Read More
Arrow Right

Senior Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...
Location
Location
United States , Seattle
Salary
Salary:
184600.00 - 260700.00 USD / Year
docker.com Logo
Docker
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years building production-grade backend systems or developer-facing tools
  • Hands-on experience with AI/ML technologies such as practical production experience with LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, or AI agent development
  • Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
  • Experience designing and building distributed systems, microservices, or platform infrastructure
  • Strong understanding of cloud-native systems (AWS, GCP, or Azure), APIs, and data stores
  • Solid grasp of CI/CD, automated testing, code review practices, and modern development workflows
  • Product-minded approach to building developer tools with focus on user experience and measurable outcomes
  • Excellent communication skills in remote, asynchronous environments with ability to document technical decisions clearly
  • Ownership mentality with bias for action and iterative delivery
  • Comfortable working autonomously across distributed teams and navigating ambiguity
Job Responsibility
Job Responsibility
  • Build AI-Powered Developer Tools: Design, implement, and ship production-ready AI agents and tools that accelerate developer productivity such as code review and refactoring assistants, automated test generators, local environment setup tools, deployment pipeline diagnostic agents, and on-call assistance tools
  • Implement LLM Integrations: Build robust, production-grade integrations with LLM APIs (OpenAI, Anthropic, etc.) such as prompt engineering, response parsing, error handling, rate limiting, cost management, and performance optimization
  • Develop Agent Orchestration Systems: Create agent frameworks and orchestration systems that enable complex multi-step workflows, tool calling, context management, and agent-to-agent communication
  • Contribute to Platform Infrastructure: Build self-service platform capabilities that enable teams across Docker to rapidly deploy and operate their own AI developer tools such as deployment pipelines, observability integration, security controls, and operational tooling
  • Drive Adoption of AI-Native Development: Build tools and programs that accelerate adoption of AI developer tools such as Claude Code, Cursor, and Warp across Docker's engineering organization
  • Ensure Production Quality: Write well-tested code with strong test coverage (unit, integration, end-to-end)
  • establish monitoring, alerting, and operational excellence for AI systems
  • Collaborate Cross-Functionally: Partner with Principal Engineer on architecture, work with product and design teams on features and UX, and collaborate with platform teams (Infrastructure, Security, Data) on integrations
  • Participate in Operations: Take part in on-call rotation for AI developer tools
  • respond to incidents, debug production issues, and drive continuous improvement of system reliability
What we offer
What we offer
  • Freedom & flexibility
  • fit your work around your life
  • Designated quarterly Whaleness Days plus end of year Whaleness break
  • Home office setup
  • we want you comfortable while you work
  • 16 weeks of paid Parental leave
  • Technology stipend equivalent to $100 net/month
  • PTO plan that encourages you to take time to do the things you enjoy
  • Training stipend for conferences, courses and classes
  • Equity
  • Fulltime
Read More
Arrow Right

Principal Software Engineering Manager

Come join the OneDrive and SharePoint AI Platform team and help us deliver the n...
Location
Location
United States , Redmond
Salary
Salary:
163000.00 - 296400.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • 5+ years of software engineering people‑management experience
  • 7+ years of experience launching and shipping multiple product iterations to customers
  • 1+ years of experience with LLMs, orchestrators, embedding models, and vector databases
  • Experience building AI/ML or generative‑AI–powered systems
  • Proven ability to mentor and develop high‑performing engineering teams
  • Strong customer empathy and product-thinking mindset
  • Proven ability to deliver customer‑focused products at scale
  • Excellent communication and cross‑team influence
Job Responsibility
Job Responsibility
  • Lead vision, strategy, and execution for AI‑powered experiences across OneDrive and SharePoint
  • Drive integration of LLMs and generative AI into platform capabilities, including SharePoint’s AI mode
  • Provide strong technical leadership across architecture, service design, and engineering practices
  • Collaborate across engineering, PM, design, and research to deliver high‑quality, scalable features
  • Foster an inclusive, collaborative team culture with a focus on growth, customer empathy, and engineering excellence
  • Communicate clearly across organizational levels and influence teams through strong written and verbal communication
  • Leverage cloud expertise (Azure, AWS, GCP) and modern service patterns (REST, RPC, JSON, GraphQL)
  • Establish best practices that improve reliability, scalability, and AI‑driven development workflows
  • Fulltime
Read More
Arrow Right