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 AI Engineer

At Mastercard, we are building the next generation of AI-powered platforms that ...
Location
Location
United States of America , Arlington
Salary
Salary:
179000.00 - 305000.00 USD / Year
mastercard.com Logo
Mastercard
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on experience with AI/ML concepts, with a passion for working with LLMs and generative AI
  • Professional hands-on experience with Python and backend development frameworks (e.g., FastAPI, Flask, Node.js)
  • Understanding of REST APIs and cloud environments (AWS, Azure, or GCP)
  • Strong problem-solving and analytical skills, with curiosity for exploring new AI capabilities
  • Comfortable working in a collaborative environment and open to feedback and mentorship
  • Eagerness to learn prompt engineering, AI safety/guardrail development, and large-scale AI deployment
Job Responsibility
Job Responsibility
  • Agentic AI Development – Build and enhance AI agents and backend systems that power Mastercard’s AI platform
  • Experimentation & Evaluation – Test and evaluate new LLMs, emerging AI technologies, and frameworks to identify opportunities for innovation
  • Prompt Engineering – Design, refine, and optimize prompts for LLMs to achieve desired outputs
  • Guardrail Development – Implement safeguards to ensure AI responses are accurate, secure, and aligned with ethical guidelines
  • Backend Engineering – Contribute to the development of APIs, microservices, and data integrations for AI-powered features
  • Best Practices in Software Development – Write clean, maintainable, and well-documented code following industry standards
  • Continuous Learning – Stay current with the latest developments in AI, LLMs, and software engineering best practices
What we offer
What we offer
  • insurance (including medical, prescription drug, dental, vision, disability, life insurance)
  • flexible spending account and health savings account
  • paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
  • 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire
  • 10 annual paid U.S. observed holidays
  • 401k with a best-in-class company match
  • deferred compensation for eligible roles
  • fitness reimbursement or on-site fitness facilities
  • eligibility for tuition reimbursement
  • Fulltime
Read More
Arrow Right

Principal Engineer – Advanced Technologies

Are you looking to redefine customer experience by bending the curve of innovati...
Location
Location
India , Pune; Bengaluru
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A Bachelor’s degree (or above) in computer science, engineering, mathematics, or a related discipline
  • 12+ years of experience in Software Engineering, Data Science, or Analytics with 5+ years of experience in AI/ML engineering or related fields
  • Demonstrated experience designing and implementing highly scalable, production-grade AI/ML platforms and systems
  • Deep understanding of Large Language Models (LLMs), LLM training & fine tuning
  • Hands-on experience in GenAI and AgenticAI frameworks such as LangGraph/LangChain, CrewAI, Strands SDK, Google ADK, etc.
  • Familiarity on working with MCP and A2A protocols
  • Expertise in various AI/ML techniques, such as deep learning, natural language processing, reinforcement learning, and large language models
  • Proficiency in Python, R, or other programming languages for data analysis and AI/ML development
  • Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc.
Job Responsibility
Job Responsibility
  • Serve as the primary code-level reviewer and hands-on architect for the most complex AI/ML systems and frameworks
  • Define and enforce technology roadmaps, best practices, strategies, and standards for AI/ML adoption across the organization
  • Conduct and guide research on context/prompt engineering techniques to translate successful research into reusable engineering frameworks for the wider team
  • Architect and maintain robust data pipelines and data processing workflows for model training and model tuning, utilizing cloud services for scalability and efficiency
  • Implement and champion MLOps tools and practices, ensuring seamless integration of machine learning models and LLMs into production environments
  • Lead the effort to agentize existing systems (front-end & back-end apps) by incorporating agentic frameworks/stacks and integrating them via A2A, MCP protocol
  • Partner with cross-functional teams to integrate AI/ML solutions into products and services
  • Mentor and coach junior and senior engineers on advanced AI/ML techniques, best practices, and architecture design
  • Provision of guidance and expertise to engineering teams to ensure alignment with best practices and foster a culture of technical excellence
  • Contribution to strategic planning by aligning technical decisions with business goals, anticipating future technology trends, and providing insights to optimize product roadmaps
What we offer
What we offer
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
  • Fulltime
Read More
Arrow Right

Principal Engineer, Applied AI

Are you looking to redefine customer experience by bending the curve of innovati...
Location
Location
India , Bengaluru; Pune
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A Bachelor’s degree (or above) in computer science, engineering, mathematics, or a related discipline
  • 12+ years of experience in Software Engineering, Data Science, or Analytics with 5+ years of experience in AI/ML engineering or related fields
  • Demonstrated experience designing and implementing highly scalable, production-grade AI/ML platforms and systems
  • Deep understanding of Large Language Models (LLMs), LLM training & fine tuning
  • Hands-on experience in GenAI and AgenticAI frameworks such as LangGraph/LangChain, CrewAI, Strands SDK, Google ADK, etc.
  • Familiarity on working with MCP and A2A protocols
  • Expertise in various AI/ML techniques, such as deep learning, natural language processing, reinforcement learning, and large language models
  • Proficiency in Python, R, or other programming languages for data analysis and AI/ML development
  • Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc.
Job Responsibility
Job Responsibility
  • Serve as the primary code-level reviewer and hands-on architect for the most complex AI/ML systems and frameworks
  • Define and enforce technology roadmaps, best practices, strategies, and standards for AI/ML adoption across the organization
  • Conduct and guide research on context/prompt engineering techniques to translate successful research into reusable engineering frameworks for the wider team
  • Architect and maintain robust data pipelines and data processing workflows for model training and model tuning, utilizing cloud services for scalability and efficiency
  • Implement and champion MLOps tools and practices, ensuring seamless integration of machine learning models and LLMs into production environments
  • Lead the effort to agentize existing systems (front-end & back-end apps) by incorporating agentic frameworks/stacks and integrating them via A2A, MCP protocol
  • Partner with cross-functional teams to integrate AI/ML solutions into products and services
  • Mentor and coach junior and senior engineers on advanced AI/ML techniques, best practices, and architecture design.
What we offer
What we offer
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
  • Modern workspaces
  • Collaborative areas
  • State-of-the-art meeting rooms
  • Wellness rooms
  • On-site cafeterias
  • Fitness centers
  • Fulltime
Read More
Arrow Right
New

Principal Product Manager, Consumer Copilot- Productivity

At Microsoft AI, our mission is to make Microsoft Copilot the best AI for hundre...
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 AND 8+ years experience in product management or software development OR equivalent experience
  • Bachelor's Degree AND 10+ years experience in product or software development OR equivalent experience
  • Experience as a startup founder is a plus
  • Demonstrated success building productivity products
  • Proven track record as a product manager with firsthand experience prompting, evaluating and deploying LLM applications into production
  • Track record of creating design-driven consumer products from concept to launch and finding product market fit
  • Demonstrated success building consumer products that leverage Machine Learning or Large Language Models (LLMs)
  • Have experience in working side-by-side with AI researchers and engineers
  • Experienced in concurrently driving multiple high stakes, time sensitive projects that span teams and time zones
  • Ability to work in a fast-paced environment and adapt to changing requirements and deadlines
Job Responsibility
Job Responsibility
  • Create 0 to 1 products that transform cutting-edge AI capabilities into world-class applications of LLM
  • Contribute to the product vision and roadmap for Microsoft Copilot (consumer/prosumer product) that enable Productivity and M365 workflows in Microsoft Copilot
  • Be responsible for understanding user needs and behaviors, defining product requirements, managing end to end product development, launches and iterations
  • Partner with design, engineering, and data science to deliver delightful, high-utility features
  • Establish metrics and evaluations for model responses, capabilities, and user behaviors
  • Establish clear goals, design experiments, and measure success through data analysis and research insights
  • Advocate for cross-platform consistency (desktop, mobile, web) that meets the diverse needs of our users
  • Find paths to get things done despite roadblocks to get your work into the hands of users quickly and iteratively
  • Embody our Culture and Values
  • Fulltime
Read More
Arrow Right
New

HR Business Partner

Meta is seeking an HR Business Partner to support our tech and/or business organ...
Location
Location
United States
Salary
Salary:
152000.00 - 220000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years experience in an HR Business Partner or equivalent role
  • Experience helping global and/or highly matrixed organizations scale
  • Demonstrates solid judgment and experience assessing risk relative to the business
  • Consulting, coaching and facilitation skills
  • Effective communication and critical thinking skills
  • Demonstrates empathy and experience driving community-building work
  • Demonstrates project management and change management experience
  • Experience using data to identify insights that drive action
  • Demonstrated experience learning and thriving in a constantly changing environment and to cultivate relationships across teams
  • Demonstrated experience in influencing and strategically solve problems
Job Responsibility
Job Responsibility
  • Design and deliver targeted solutions with a high degree of focus on scale and growth, including strategic planning, visioning, talent assessment, change management and team building
  • Provide strategic business partnership, thought partnership, and coaching to all levels of the organization
  • Proactively assess team, manager, organizational development needs, make recommendations, and implement appropriate solutions
  • Provide rigorous data analysis and reporting solutions based on business needs
  • Drive talent management strategies to support a team’s growth and individual development plans
  • Manage and facilitate the overall Performance Summary Cycle and employee engagement survey throughout the year
  • Integrate and partner with HR colleagues in the Recruiting, Learning & Development, Compensation, Legal, and HR Programs teams to implement solutions and help scale the business
  • Partner closely with regional HR partners on global strategy and execution
  • Work closely with our Employee Relations Partners, supporting employee relations issues as needed
  • Design and facilitate team and offsite meetings as needed
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right