Senior AI Software Engineer
Adtran · Gdynia, Poland ·
- Work mode
- Hybrid
- Seniority
- Senior
- Employment
- Contract
- Category
- AI engineering
- Experience
- 10+ years
Adtran · Gdynia, Poland ·
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Build and deploy enterprise-grade AI systems, from prototypes to production, integrating LLMs and agentic workflows while ensuring reliability, security, and cost efficiency.
Welcome!
Our Growth is Creating Great Opportunities!
Our team is expanding, and we want to hire the most talented people we can. Continued success depends on it! Once you've had a chance to explore our current open positions, apply to the ones you feel suit you best and keep track of both your progress in the selection process, and new postings that might interest you!
Thanks for your interest in working on our team!
As part of Adtran's internal AI roadmap, we are seeking a Senior AI Software Engineer to join a cross-functional team of developers and subject-matter experts to build and deliver enterprise-grade AI solutions aligned with our business objectives. Working closely with our AI architects and stakeholders, this role implements scalable AI systems, takes features from prototype to production, and ensures the solutions it builds meet our security, governance, and reliability standards.
Key Responsibilities
Design, build, and maintain AI/ML services and applications for enterprise use cases, from prototype through to production
Implement and maintain data and ML pipelines - including ingestion, data structures, feature preparation, and model deployment - within the team's overall data and AI architecture
Integrate large language models and agentic workflows into enterprise applications via APIs and protocols such as MCP
Collaborate with architects, stakeholders, and subject-matter experts to turn AI use cases into working, well-tested solutions
Build and maintain evaluation, testing, monitoring, and retraining workflows to keep models reliable in production
Ensure the systems you build adhere to data privacy, security, compliance, and responsible AI standards (including bias mitigation, explainability, and audit trails)
Contribute to cost-efficient AI operations by writing efficient code and being mindful of infrastructure and model consumption costs
Write clean, well-documented, production-grade code and uphold engineering standards through code reviews and testing
Provide technical mentorship to other engineers and share knowledge across the team
Required Skills and Qualifications
Proven hands-on experience building and shipping AI/ML systems to production
Strong software engineering fundamentals, with expert-level proficiency in Python
Experience integrating generative AI and large language models into real applications (RAG, prompt engineering, orchestration)
Practical experience with data engineering, model deployment, and MLOps (model lifecycle, versioning, monitoring, retraining)
Working proficiency with modern ML frameworks such as PyTorch, TensorFlow, or equivalent
Experience with cloud platforms (Azure, AWS) and their AI services
Familiarity with data pipeline and data lakehouse concepts, and with building APIs and enterprise integrations
Sound understanding of testing, CI/CD, containerization, and production-grade software delivery
Good communication skills and the ability to work effectively in a cross-functional team
Preferred Qualifications
Hands-on experience building agentic systems and integrating LLMs via protocols such as MCP
Experience implementing AI solutions for operations, sales, or finance use cases (e.g., demand planning, inventory management, forecasting)
Working knowledge of modern data processing platforms such as Databricks, Microsoft Fabric, or Snowflake
Familiarity with vector databases and retrieval systems
Familiarity with enterprise security and compliance frameworks
Degree in Computer Science, AI, or a related field
Compensation and Benefits
Stable employment conditions based on an employment contract (turnover rate below 4%)
1 additional vacation day for all, and 1 extra after 10 years with us
Flexible working hours and hybrid work (presence in the office in Gdynia 3 days a week)
English lessons during working hours
Internal training program to support your training needs
Paid employee referral program
Multisport Card
3% employer contribution to PPK
Private Health Care at Medicover (extended package for employees and possibility to enroll family members)
Strong team-oriented and friendly work culture
Access to various sports activities and events
Modern office (well-equipped gym and playroom) close to the SKM/PKM stations
#LI-Hybrid
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