Senior Python AI Engineer

🏢 Summary: Senior Python MCP Engineer role focused on building and standardizing enterprise MCP servers for a cloud-native AI agent development platform. The position covers Python services, MCP protocol implementations, AWS deployment, observability, security, and CI/CD collaboration. 🗂️ Requirements: 5+ years of Python development experience, API and integration engineering experience, Async Python framework proficiency, FastMCP, asyncio, and Pydantic expertise, AWS Lambda and API Gateway knowledge, MCP server-side protocol implementation knowledge, OpenTelemetry familiarity for traces, metrics, and logs, Container security baseline knowledge 📃 Skills: Python, FastAPI, aiohttp, FastMCP, asyncio, Pydantic, AWS, Lambda, API, Gateway, MCP, OpenTelemetry, LangGraph, Bedrock, AgentCore, CI/CD 🏢 Description: We are looking for a Senior Python MCP Engineer to join our team building an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime, providing a single-file developer experience where the platform handles runtime, tooling, observability, and deployment automatically. The initiative spans agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability — reducing agent development from months to days while enforcing consistent security, quality, and governance standards. Responsibilities Implement MCP server templates to standardize enterprise agent development Onboard the first enterprise MCP servers onto the platform Design and build server-side MCP protocol implementations Develop Python-based services using FastMCP, asyncio, and Pydantic Deploy and manage integrations through AWS Lambda and API Gateway Establish observability pipelines using OpenTelemetry for traces, metrics, and logs Apply container security baseline standards across MCP server deployments Collaborate with platform teams on runtime architecture and CI/CD automation Requirements 5+ years of experience in Python development Experience in API and integration engineering Proficiency in async Python frameworks such as FastAPI and aiohttp Expertise in Python libraries including FastMCP, asyncio, and Pydantic Knowledge of AWS Lambda and API Gateway Understanding of MCP protocol server-side implementation Familiarity with OpenTelemetry for traces, metrics, and logs Knowledge of container security baseline practices Nice to have Hands-on experience with the FastMCP library Familiarity with LangGraph tool integration Exposure to AWS Bedrock or AgentCore We offer We gather like-minded people: Top tech minds driving innovation in AI, cloud and digital platform modernization Supportive team and agile, startup-like culture Hybrid by design mode and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Career development programs Thought leadership, mentoring, soft skills and well-being programs Certification (Anthropic, Gemini, GCP, Azure, AWS) English classes We cover it all: Stable pay Participation in the Employee Stock Purchase Plan with a 15% discount Benefits package (health insurance, multisport, shopping vouchers) Referral bonuses up to $2,000 Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more Corporate, social and well-being events Please, note: Benefits listed above are available to employees only We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually We will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

🏢 Summary: Senior Python MCP Engineer role focused on building and standardizing enterprise MCP servers for a cloud-native AI agent platform. The position covers Python service development, AWS deployment, observability, security, and collaboration on runtime architecture and CI/CD automation. 🗂️ Requirements: 5+ years of Python development experience, API and integration engineering experience, Async Python framework proficiency, FastMCP, asyncio and Pydantic expertise, AWS Lambda and API Gateway knowledge, MCP server-side protocol implementation knowledge, OpenTelemetry familiarity, Container security baseline knowledge 📃 Skills: Python, FastAPI, aiohttp, FastMCP, asyncio, Pydantic, AWS, Lambda, OpenTelemetry, MCP, LangGraph, Bedrock, AgentCore, Docker, Kubernetes 🏢 Description: We are looking for a Senior Python MCP Engineer to join our team building an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime, providing a single-file developer experience where the platform handles runtime, tooling, observability, and deployment automatically. The initiative spans agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability — reducing agent development from months to days while enforcing consistent security, quality, and governance standards. Responsibilities Implement MCP server templates to standardize enterprise agent development Onboard the first enterprise MCP servers onto the platform Design and build server-side MCP protocol implementations Develop Python-based services using FastMCP, asyncio, and Pydantic Deploy and manage integrations through AWS Lambda and API Gateway Establish observability pipelines using OpenTelemetry for traces, metrics, and logs Apply container security baseline standards across MCP server deployments Collaborate with platform teams on runtime architecture and CI/CD automation Requirements 5+ years of experience in Python development Experience in API and integration engineering Proficiency in async Python frameworks such as FastAPI and aiohttp Expertise in Python libraries including FastMCP, asyncio, and Pydantic Knowledge of AWS Lambda and API Gateway Understanding of MCP protocol server-side implementation Familiarity with OpenTelemetry for traces, metrics, and logs Knowledge of container security baseline practices Nice to have Hands-on experience with the FastMCP library Familiarity with LangGraph tool integration Exposure to AWS Bedrock or AgentCore We offer We gather like-minded people: Top tech minds driving innovation in AI, cloud and digital platform modernization Supportive team and agile, startup-like culture Hybrid by design mode and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Career development programs Thought leadership, mentoring, soft skills and well-being programs Certification (Anthropic, Gemini, GCP, Azure, AWS) English classes We cover it all: Stable pay Participation in the Employee Stock Purchase Plan with a 15% discount Benefits package (health insurance, multisport, shopping vouchers) Referral bonuses up to $2,000 Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more Corporate, social and well-being events Please, note: Benefits listed above are available to employees only We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually We will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

🏢 Summary: Senior Python MCP Engineer role building a cloud-native enterprise platform for developing, deploying, and observing AI agents at scale. The position focuses on MCP server implementations, Python services, AWS integrations, observability, security, and CI/CD collaboration. 🗂️ Requirements: 5+ years of Python development experience, Agent development experience, preferably with multi-agent systems, AWS experience, API and integration engineering experience, Async Python framework proficiency, FastMCP, asyncio, and Pydantic expertise, AWS Lambda and API Gateway knowledge, Server-side MCP protocol implementation knowledge, OpenTelemetry familiarity, Container security baseline knowledge 📃 Skills: Python, AWS, FastAPI, aiohttp, FastMCP, asyncio, Pydantic, Lambda, APIGateway, OpenTelemetry, MCP, LangGraph, Bedrock, AgentCore 🏢 Description: We are looking for a Senior Python MCP Engineer to join our team building an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime, providing a single-file developer experience where the platform handles runtime, tooling, observability, and deployment automatically. The initiative spans agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability — reducing agent development from months to days while enforcing consistent security, quality, and governance standards. Responsibilities Implement MCP server templates to standardize enterprise agent development Onboard the first enterprise MCP servers onto the platform Design and build server-side MCP protocol implementations Develop Python-based services using FastMCP, asyncio, and Pydantic Deploy and manage integrations through AWS Lambda and API Gateway Establish observability pipelines using OpenTelemetry for traces, metrics, and logs Apply container security baseline standards across MCP server deployments Collaborate with platform teams on runtime architecture and CI/CD automation Requirements 5+ years of experience in Python development Proven Agent Development experience (ideally Multi-Agent Systems) AWS experience, ideally with Agent Core or Bedrock Experience in API and integration engineering Proficiency in async Python frameworks such as FastAPI and aiohttp Expertise in Python libraries including FastMCP, asyncio, and Pydantic Knowledge of AWS Lambda and API Gateway Understanding of MCP protocol server-side implementation Familiarity with OpenTelemetry for traces, metrics, and logs Knowledge of container security baseline practices Nice to have Hands-on experience with the FastMCP library Familiarity with LangGraph tool integration Exposure to AWS Bedrock or AgentCore We offer We gather like-minded people: Top tech minds driving innovation in AI, cloud and digital platform modernization Supportive team and agile, startup-like culture Hybrid by design mode and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Career development programs Thought leadership, mentoring, soft skills and well-being programs Certification (Anthropic, Gemini, GCP, Azure, AWS) English classes We cover it all: Stable pay Participation in the Employee Stock Purchase Plan with a 15% discount Benefits package (health insurance, multisport, shopping vouchers) Referral bonuses up to $2,000 Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more Corporate, social and well-being events Please, note: Benefits listed above are available to employees only We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually We will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

🏢 Summary: Senior Python MCP Engineer role focused on building and standardizing MCP servers for an enterprise AI agent platform. The position develops cloud-native Python services and integrations on AWS, with observability, security, and CI/CD support for scalable agent deployments. 🗂️ Requirements: 5+ years of Python development experience, Agent development experience, ideally with multi-agent systems, AWS experience, API and integration engineering experience, Async Python framework proficiency, FastMCP, asyncio, and Pydantic expertise, AWS Lambda and API Gateway knowledge, MCP server-side protocol implementation knowledge, OpenTelemetry familiarity for traces, metrics, and logs, Container security baseline knowledge 📃 Skills: Python, AWS, FastAPI, aiohttp, FastMCP, asyncio, Pydantic, Lambda, MCP, OpenTelemetry, LangGraph, Strands, AgentCore, Bedrock, Docker, CI/CD 🏢 Description: We are looking for a Senior Python MCP Engineer to join our team building an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime, providing a single-file developer experience where the platform handles runtime, tooling, observability, and deployment automatically. The initiative spans agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability — reducing agent development from months to days while enforcing consistent security, quality, and governance standards. Responsibilities Implement MCP server templates to standardize enterprise agent development Onboard the first enterprise MCP servers onto the platform Design and build server-side MCP protocol implementations Develop Python-based services using FastMCP, asyncio, and Pydantic Deploy and manage integrations through AWS Lambda and API Gateway Establish observability pipelines using OpenTelemetry for traces, metrics, and logs Apply container security baseline standards across MCP server deployments Collaborate with platform teams on runtime architecture and CI/CD automation Requirements 5+ years of experience in Python development Proven Agent Development experience (ideally Multi-Agent Systems) AWS experience, ideally with Agent Core or Bedrock Experience in API and integration engineering Proficiency in async Python frameworks such as FastAPI and aiohttp Expertise in Python libraries including FastMCP, asyncio, and Pydantic Knowledge of AWS Lambda and API Gateway Understanding of MCP protocol server-side implementation Familiarity with OpenTelemetry for traces, metrics, and logs Knowledge of container security baseline practices Nice to have Hands-on experience with the FastMCP library Familiarity with LangGraph tool integration Exposure to AWS Bedrock or AgentCore We offer We gather like-minded people: Top tech minds driving innovation in AI, cloud and digital platform modernization Supportive team and agile, startup-like culture Hybrid by design mode and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Career development programs Thought leadership, mentoring, soft skills and well-being programs Certification (Anthropic, Gemini, GCP, Azure, AWS) English classes We cover it all: Stable pay Participation in the Employee Stock Purchase Plan with a 15% discount Benefits package (health insurance, multisport, shopping vouchers) Referral bonuses up to $2,000 Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more Corporate, social and well-being events Please, note: Benefits listed above are available to employees only We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually We will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

🏢 Summary: Senior Python MCP Engineer role focused on building and standardizing MCP servers for an enterprise AI agent platform. The position develops cloud-native Python services, AWS integrations, observability, security, and CI/CD capabilities for scalable agent deployment. 🗂️ Requirements: 5+ years of Python development experience, Agent development experience, ideally with multi-agent systems, AWS experience, API and integration engineering experience, Async Python framework proficiency, FastMCP, asyncio, and Pydantic expertise, AWS Lambda and API Gateway knowledge, MCP server-side protocol implementation knowledge, OpenTelemetry familiarity, Container security baseline knowledge 📃 Skills: Python, AWS, FastAPI, aiohttp, FastMCP, asyncio, Pydantic, Lambda, API Gateway, MCP, OpenTelemetry, LangGraph, Strands, AgentCore, Bedrock, Docker, CI/CD 🏢 Description: We are looking for a Senior Python MCP Engineer to join our team building an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime, providing a single-file developer experience where the platform handles runtime, tooling, observability, and deployment automatically. The initiative spans agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability — reducing agent development from months to days while enforcing consistent security, quality, and governance standards. Responsibilities Implement MCP server templates to standardize enterprise agent development Onboard the first enterprise MCP servers onto the platform Design and build server-side MCP protocol implementations Develop Python-based services using FastMCP, asyncio, and Pydantic Deploy and manage integrations through AWS Lambda and API Gateway Establish observability pipelines using OpenTelemetry for traces, metrics, and logs Apply container security baseline standards across MCP server deployments Collaborate with platform teams on runtime architecture and CI/CD automation Requirements 5+ years of experience in Python development Proven Agent Development experience (ideally Multi-Agent Systems) AWS experience, ideally with Agent Core or Bedrock Experience in API and integration engineering Proficiency in async Python frameworks such as FastAPI and aiohttp Expertise in Python libraries including FastMCP, asyncio, and Pydantic Knowledge of AWS Lambda and API Gateway Understanding of MCP protocol server-side implementation Familiarity with OpenTelemetry for traces, metrics, and logs Knowledge of container security baseline practices Nice to have Hands-on experience with the FastMCP library Familiarity with LangGraph tool integration Exposure to AWS Bedrock or AgentCore We offer We gather like-minded people: Top tech minds driving innovation in AI, cloud and digital platform modernization Supportive team and agile, startup-like culture Hybrid by design mode and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Career development programs Thought leadership, mentoring, soft skills and well-being programs Certification (Anthropic, Gemini, GCP, Azure, AWS) English classes We cover it all: Stable pay Participation in the Employee Stock Purchase Plan with a 15% discount Benefits package (health insurance, multisport, shopping vouchers) Referral bonuses up to $2,000 Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more Corporate, social and well-being events Please, note: Benefits listed above are available to employees only We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually We will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

🏢 Summary: Senior Python MCP Engineer role building a cloud-native enterprise platform for developing, deploying and observing AI agents at scale. The position focuses on MCP server implementations, AWS integrations, observability and secure deployment automation. 🗂️ Requirements: 5+ years of Python development experience, Agent development experience, AWS experience, API and integration engineering experience, Async Python framework proficiency, FastMCP, asyncio and Pydantic expertise, AWS Lambda and API Gateway knowledge, MCP server-side implementation knowledge, OpenTelemetry familiarity, Container security baseline knowledge 📃 Skills: Python, AWS, FastAPI, aiohttp, FastMCP, asyncio, Pydantic, Lambda, API Gateway, OpenTelemetry, MCP, LangGraph, Bedrock, AgentCore 🏢 Description: We are looking for a Senior Python MCP Engineer to join our team building an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime, providing a single-file developer experience where the platform handles runtime, tooling, observability, and deployment automatically. The initiative spans agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability — reducing agent development from months to days while enforcing consistent security, quality, and governance standards. Responsibilities Implement MCP server templates to standardize enterprise agent development Onboard the first enterprise MCP servers onto the platform Design and build server-side MCP protocol implementations Develop Python-based services using FastMCP, asyncio, and Pydantic Deploy and manage integrations through AWS Lambda and API Gateway Establish observability pipelines using OpenTelemetry for traces, metrics, and logs Apply container security baseline standards across MCP server deployments Collaborate with platform teams on runtime architecture and CI/CD automation Requirements 5+ years of experience in Python development Proven Agent Development experience (ideally Multi-Agent Systems) AWS experience, ideally with Agent Core or Bedrock Experience in API and integration engineering Proficiency in async Python frameworks such as FastAPI and aiohttp Expertise in Python libraries including FastMCP, asyncio, and Pydantic Knowledge of AWS Lambda and API Gateway Understanding of MCP protocol server-side implementation Familiarity with OpenTelemetry for traces, metrics, and logs Knowledge of container security baseline practices Nice to have Hands-on experience with the FastMCP library Familiarity with LangGraph tool integration Exposure to AWS Bedrock or AgentCore We offer We gather like-minded people: Top tech minds driving innovation in AI, cloud and digital platform modernization Supportive team and agile, startup-like culture Hybrid by design mode and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Career development programs Thought leadership, mentoring, soft skills and well-being programs Certification (Anthropic, Gemini, GCP, Azure, AWS) English classes We cover it all: Stable pay Participation in the Employee Stock Purchase Plan with a 15% discount Benefits package (health insurance, multisport, shopping vouchers) Referral bonuses up to $2,000 Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more Corporate, social and well-being events Please, note: Benefits listed above are available to employees only We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually We will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

🏢 Summary: Senior Python MCP Engineer role focused on building and scaling an enterprise, cloud-native AI agent platform. The position develops MCP servers and Python services, integrates AWS infrastructure, and establishes secure, observable deployments with platform and CI/CD teams. 🗂️ Requirements: 5+ years of Python development experience, Agent development experience, preferably multi-agent systems, AWS experience, API and integration engineering experience, Async Python framework proficiency, FastMCP, asyncio and Pydantic expertise, AWS Lambda and API Gateway knowledge, MCP server-side protocol implementation knowledge, OpenTelemetry familiarity, Container security baseline knowledge 📃 Skills: Python, FastMCP, asyncio, Pydantic, AWS, AgentCore, Bedrock, FastAPI, aiohttp, Lambda, APIGateway, MCP, OpenTelemetry, LangGraph, Strands, CI/CD 🏢 Description: We are looking for a Senior Python MCP Engineer to join our team building an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime, providing a single-file developer experience where the platform handles runtime, tooling, observability, and deployment automatically. The initiative spans agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability — reducing agent development from months to days while enforcing consistent security, quality, and governance standards. Responsibilities Implement MCP server templates to standardize enterprise agent development Onboard the first enterprise MCP servers onto the platform Design and build server-side MCP protocol implementations Develop Python-based services using FastMCP, asyncio, and Pydantic Deploy and manage integrations through AWS Lambda and API Gateway Establish observability pipelines using OpenTelemetry for traces, metrics, and logs Apply container security baseline standards across MCP server deployments Collaborate with platform teams on runtime architecture and CI/CD automation Requirements 5+ years of experience in Python development Proven Agent Development experience (ideally Multi-Agent Systems) AWS experience, ideally with Agent Core or Bedrock Experience in API and integration engineering Proficiency in async Python frameworks such as FastAPI and aiohttp Expertise in Python libraries including FastMCP, asyncio, and Pydantic Knowledge of AWS Lambda and API Gateway Understanding of MCP protocol server-side implementation Familiarity with OpenTelemetry for traces, metrics, and logs Knowledge of container security baseline practices Nice to have Hands-on experience with the FastMCP library Familiarity with LangGraph tool integration Exposure to AWS Bedrock or AgentCore We offer We gather like-minded people: Top tech minds driving innovation in AI, cloud and digital platform modernization Supportive team and agile, startup-like culture Hybrid by design mode and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Career development programs Thought leadership, mentoring, soft skills and well-being programs Certification (Anthropic, Gemini, GCP, Azure, AWS) English classes We cover it all: Stable pay Participation in the Employee Stock Purchase Plan with a 15% discount Benefits package (health insurance, multisport, shopping vouchers) Referral bonuses up to $2,000 Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more Corporate, social and well-being events Please, note: Benefits listed above are available to employees only We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually We will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

🏢 Summary: Join a remote B2B team as a Python Engineer building and deploying AI-driven LLM and NLP solutions. The role combines hands-on development of RAG, vector-search, and AI-agent workflows with client collaboration, technical decision-making, and product impact. 🗂️ Requirements: 5+ years of experience in software engineering, AI, ML, or a related field, Production experience with LLMs or NLP, Experience with RAG, vector search, or agent-based LLM architectures, Strong Python skills, Experience deploying models or pipelines with FastAPI, Strong communication skills, Polish at B2+ level, English at B2+ level 📃 Skills: Python, LLMs, NLP, RAG, FastAPI, NumPy, Pandas, Scikit-learn, Vector-search, Agents 🏢 Description: The role We're looking for an experienced Python Engineer to join our team and help build cutting-edge solutions using LLM technologies. If you enjoy having real impact on product direction, making key technical decisions, and working directly with clients- this role is for you. What you’ll do Work on the development and deployment of AI-driven features, ensuring timely delivery and continuous iteration Participate in client meetings to discuss progress, architecture, and system capabilities Build and improve LLM/NLP-based data extraction and analysis models Develop and orchestrate AI agents capable of handling multi-step, tool-augmented workflows Optimize system performance for real-time and large-scale applications Ensure statistical accuracy in lifecycle tracking and model evaluation Collaborate closely with product managers, engineers, and other stakeholders What we’re looking for 5+ years of experience in SE/AI/ML or a related field Hands-on experience with LLMs or NLP in production environments Experience with RAG, vector search, or agent-based LLM architectures Solid Python skills (NumPy, Pandas, Scikit-learn, etc.) Experience deploying models or pipelines using FastAPI Strong communication skills – your input will help shape the roadmap Comfortable working in a bilingual environment (Polish B2+, English B2+) Bonus points: Experience with Computer Vision What we offer 26 000 - 33 000 PLN net + VAT monthly, B2B 100% remote setup and flexible hours Private medical care, life insurance, and Multisport 🏃‍♂️‍➡️ Referral bonuses Equipment of your choice (MacBook by default) Interesting, challenging projects - we only take on the ones we believe in :-)

🏢 Summary: Senior Python Engineer role focused on designing, deploying, and operating production-scale AI and ML solutions. The position covers LLMs, RAG systems, data pipelines, cloud-native AI services, and MLOps across major cloud platforms. 🗂️ Requirements: Python proficiency, NumPy, Pandas, PyTorch, TensorFlow, and Transformers, Hands-on LLM experience, Machine learning, NLP, deep learning, and vector embeddings, Azure, AWS, or GCP experience, Serverless computing experience, MLOps tooling experience, Vector database experience, Docker and Kubernetes knowledge 📃 Skills: Python, NumPy, Pandas, PyTorch, TensorFlow, Transformers, OpenAI, AzureOpenAI, Anthropic, Llama, Azure, AWS, GCP, MLflow, Kubeflow, AzureML, SageMaker, Databricks, Pinecone, Chroma, FAISS, Docker, Kubernetes, REST, RAG, NLP, MLOps 🏢 Description: Position overview We are seeking a skilled Senior Python Engineer to design, develop, and deploy AI and ML driven solutions that enhance business capabilities, automate processes, and improve customer and employee experiences. The ideal candidate has a strong foundation in machine learning, large language models (LLMs), data engineering, and cloud platforms, with the ability to productionize models at scale. Responsibilities Design, build, and deploy machine learning and generative AI models, including LLMs, embeddings, transformers, and RAG pipelines. Develop scalable AI services and microservices using Python, REST APIs, and cloud native technologies. Optimize models for performance, accuracy, and cost efficiency. Work with structured and unstructured datasets for feature engineering, vectorization, and model training. Build data pipelines for training, validation, and inference. Collaborate with data engineering teams on data ingestion, storage, and governance. Implement CI/CD pipelines for machine learning models and MLOps workflows. Monitor model performance and drift, and implement retraining strategies. Manage model lifecycle processes, logging, and observability. Integrate AI systems with enterprise applications, APIs, and cloud platforms such as Azure, AWS, and GCP. Build Retrieval Augmented Generation (RAG) architectures leveraging vector databases such as Pinecone, FAISS, Weaviate, or Azure AI Search. Ensure solutions align with enterprise security, compliance, and responsible AI standards. Work with product, engineering, domain experts, and business teams to translate requirements into technical solutions. Communicate AI capabilities and limitations to non technical stakeholders. Conduct proofs of concept (POCs), demonstrations, and conceptual solution design activities. Requirements Strong proficiency in Python, including NumPy, Pandas, PyTorch, TensorFlow, and Transformers. Hands on experience with LLMs, including OpenAI, Azure OpenAI, Anthropic, and Llama models. Experience with machine learning algorithms, natural language processing (NLP), deep learning, and vector embeddings. Experience with cloud platforms such as Azure, AWS, and GCP, including serverless computing services. Familiarity with MLOps tools such as MLflow, Kubeflow, Azure Machine Learning, Amazon SageMaker, or Databricks. Experience working with vector databases, including Pinecone, Chroma, FAISS, and Azure AI Search. Knowledge of containerization and orchestration technologies such as Docker and Kubernetes. What We Offer: Vacation days : Up to 26 business days per year. 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types Health and life insurance (Luxmed) MyBenefit platform with Multisport option Internal psychological support service English language classes from the first working day Access to external learning platforms : O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training Flexible workplace : work from the office, from home, or choose a hybrid option Tech Skills Mentoring Program Opportunities to develop as a public speaker, mentor, or technical interviewer Fully paid idle (bench) when not involved in a project Certification reimbursement (AWS, GCP, Microsoft, etc.)