Python AI Engineer Job at Britenet sp. z o. o. (Białystok)

AI Implementation Engineer - Python Specialization

We are on a bold mission to create the best software services offering in the wo...

Location

United States , Menlo Park

Salary:

Not provided

techjays

Expiration Date

Until further notice

Requirements

Expert in Core Python with clean, modular, and maintainable code practices
Proficient in building RESTful APIs using Django Rest Framework (DRF)
Strong experience with relational databases like PostgreSQL/MySQL, including Django ORM and SQL optimization
Skilled in designing and implementing complex, large-scale features with solid architectural decisions
Solid grasp of OOP principles, data structures, and design patterns
Hands-on experience with Git, Linux/Unix commands, and effective debugging techniques
Experience integrating Large Language Models (LLMs) and AI/ML capabilities into applications
Familiarity with LangChain, LlamaIndex, and vector databases like FAISS, Pinecone, or Weaviate
Knowledge of Information Retrieval (IR), semantic search, and embedding models
Understanding of prompt engineering, tokenization, and LLM fine-tuning workflows (preferred)

Job Responsibility

Develop and maintain scalable Python services that implement AI-powered retrieval and generation workflows
Build and optimize vector-based retrieval pipelines using tools like FAISS, Pinecone, or Weaviate
Integrate LLMs via APIs (e.g., OpenAI, Hugging Face) using orchestration frameworks such as LangChain, LlamaIndex, etc.
Collaborate on system architecture, API design, and data flow to support RAG systems
Monitor, test, and improve the performance and accuracy of AI features in production
Work in cross-functional teams with product, data, and ML stakeholders to deploy AI solutions quickly and responsibly

What we offer

Best in class packages
Paid holidays and flexible paid time away
Casual dress code & flexible working environment
Medical Insurance covering self & family up to 4 lakhs per person

Applied AI Engineer – Generative AI

Kodiak is redefining what AI can do in autonomy, and generative models play a cr...

Location

United States , Mountain View

Salary:

150000.00 - 250000.00 USD / Year

Kodiak Robotics

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in AI, Computer Science, or a related field, or at least 2-3 years of industry experience
Experience with diffusion models, autoregressive learning, or generative AI methods
Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
Strong understanding of uncertainty modeling and self-supervised learning
Passion for building AI that continuously adapts and learns

Job Responsibility

Develop generative models that enhance adaptability and improve AI robustness
Research and implement diffusion-based, autoregressive, and variational techniques for real-world AI applications
Apply generative methods to anticipate challenges and reinforce decision-making
Build self-improving AI pipelines that continuously refine model understanding
Optimize models for efficient, scalable, and interpretable AI decision-making

What we offer

Competitive compensation package including equity and biannual bonuses
Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
Flexible PTO and generous parental leave policies
Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
Long Term Disability, Short Term Disability, Life Insurance
Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health
Fidelity 401(k)
Commuter, FSA, Dependent Care FSA, HSA
Various incentive programs (referral bonuses, patent bonuses, etc.)

Fulltime

Applied AI Engineer - AI Solutions

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...

Location

United States , Redwood City; San Francisco

Salary:

172000.00 - 300000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
3+ years of customer-facing experience in the design and implementation of AI/ML solutions
Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow)
Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI)
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement
Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Ability to work in a fast-paced environment and balance priorities across multiple projects at once

Job Responsibility

Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform
Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role
Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI
Annual travel up to 25%

What we offer

equity in the form of employee stock options

Fulltime

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

AI Engineering Manager - Internal AI Agent

We are looking for an AI Engineering Manager to drive Mirakl's internal AI trans...

Location

France

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

7+ years of experience in AI/ML or software engineering
Proven track record building AI agents using LLMs, RAG, MCP and related technologies
Strong technical proficiency in Python and multiple programming languages, with architectural design experience
Production deployment expertise - you've shipped AI solutions to real users
Technical pragmatism - ability to match the right technology to the use case
Curiosity and continuous learning
1+ years experience as a Lead or management roles (team management or technical leadership)
Strong leadership skills
Cross-functional stakeholder management
Strong communication & presentation skills - in both English and French

Job Responsibility

Partner closely with Mirakl teams & leadership to identify & prioritize opportunities, redesign workflows around AI agents, and drive adoption at scale
Lead and mentor a team of cross-functional AI engineers, defining your team’s roadmap to support strategic AI initiatives
Build advanced Mirakl-specific AI agents centrally, owning the complete delivery cycle from discovery to production deployment and operations
Foster organization-wide AI adoption by animating internal communities, providing self-service tools, training & support to empower teams as autonomous AI builders
Establish & scale technical standards & stack to ensure secure, compliant & high-quality deliverables across all internal AI projects
Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

AI Engineering Manager - Internal AI Agent

We are looking for an AI Engineering Manager to drive Mirakl's internal AI trans...

Location

France , Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

7+ years of experience in AI/ML or software engineering
Proven track record building AI agents using LLMs, RAG, MCP and related technologies
Strong technical proficiency in Python and multiple programming languages, with architectural design experience
Production deployment expertise - you've shipped AI solutions to real users
Technical pragmatism - ability to match the right technology to the use case
Curiosity and continuous learning
1+ years experience as a Lead or management roles (team management or technical leadership)
Strong leadership skills
Cross-functional stakeholder management
Strong communication & presentation skills - in both English and French

Job Responsibility

Partner closely with Mirakl teams & leadership to identify & prioritize opportunities, redesign workflows around AI agents, and drive adoption at scale
Lead and mentor a team of cross-functional AI engineers, defining your team’s roadmap to support strategic AI initiatives
Build advanced Mirakl-specific AI agents centrally, owning the complete delivery cycle from discovery to production deployment and operations
Foster organization-wide AI adoption by animating internal communities, providing self-service tools, training & support to empower teams as autonomous AI builders
Establish & scale technical standards & stack to ensure secure, compliant & high-quality deliverables across all internal AI projects
Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

AI Engineering Manager - Internal AI Agent

We are looking for an AI Engineering Manager to drive Mirakl's internal AI trans...

Location

France , Paris

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

7+ years of experience in AI/ML or software engineering
Proven track record building AI agents using LLMs, RAG, MCP and related technologies
Strong technical proficiency in Python and multiple programming languages, with architectural design experience
Production deployment expertise - you've shipped AI solutions to real users
Technical pragmatism - ability to match the right technology to the use case
Curiosity and continuous learning - you stay current with AI/ML trends
1+ years experience as a Lead or management roles (team management or technical leadership)
Strong leadership skills - you inspire and develop high-performing engineering teams
Cross-functional stakeholder management - you build relationships and excel at working with all organizational levels & functions
Strong communication & presentation skills - in both English and French

Job Responsibility

Partner closely with Mirakl teams & leadership to identify & prioritize opportunities, redesign workflows around AI agents, and drive adoption at scale
Lead and mentor a team of cross-functional AI engineers, defining your team’s roadmap to support strategic AI initiatives
Build advanced Mirakl-specific AI agents centrally, owning the complete delivery cycle from discovery to production deployment and operations
Foster organization-wide AI adoption by animating internal communities, providing self-service tools, training & support to empower teams as autonomous AI builders
Establish & scale technical standards & stack to ensure secure, compliant & high-quality deliverables across all internal AI projects
Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

Agentic AI Engineer

AI Engineer – Python | Azure Foundry | Agentic AI. The work sits at the intersec...

Location

United Kingdom

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

Strong Python engineering skills
Hands-on experience with Azure Foundry
Practical expertise in Agentic AI workflows
Solid grounding in modern AI/ML engineering practices
Design, deploy, and maintain production-grade AI solutions
Candidates must be eligible to work in the UK without sponsorship

Job Responsibility

Designing and implementing agentic AI workflows
Building Python-based automation and intelligence layers
Contributing to a broader Azure Foundry-based AI platform

Python AI Engineer

Britenet sp. z o. o.

Location:
Poland , Białystok ▼
Kielce
Lublin
Poznań
Warszawa
Katowice
Kraków
Wrocław
Łódź
Gdańsk

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 31, 2026

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