Senior AI Software Engineer

Adtran; Województwo pomorskie; Hybrid; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Hybrid work

Private Health Care

Multisport Card

Employee referral program

Training programs

3% employer contribution to PPK

Office near SKM/PKM stations

Job summary

Adtran seeks a Senior AI Software Engineer to join a cross-functional team to build enterprise-grade AI solutions aligned with business objectives. You will design, implement, and scale AI/ML services, from prototype to production, ensuring security, governance, and reliability.

You will mentor peers and drive best practices across the team. The role requires hands-on AI/ML delivery, Python excellence, and experience with cloud AI services.

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.

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.
• 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.
• Contribute to cost-efficient AI operations by writing efficient code and mindful of infra and model 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.

Skills

Python

AI/ML production

LLM integration

MLOps

Data engineering

CI/CD

Software fundamentals

Cloud concepts

Education

Degree in CS/AI

Tools

PyTorch

TensorFlow

Docker

Kubernetes

Azure

AWS

Job description

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%)

• 1additionalvacation day for all, and 1 extra after 10 years with us

• Flexible working hours and hybridwork (presence in the office in Gdynia 3 days a week)

• Englishlessonsduringworkinghours

• Internal training program to support your training needs

• Paidemployeereferralprogram

• MultisportCard

• 3%employercontributionto PPK

• Private Health Care atMedicover(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)closeto the SKM/PKM stations

#LI-Hybrid