Senior AI/Python Developer - Remote Work Type

Directio

8d•Remote

About The Position

Directio is seeking an AI/Python Developer for a Swedish client to work on a platform for collecting employee and customer feedback. The client uses data to help companies make informed decisions. The developer will design, develop, and deploy AI-powered services using Python, leverage AI tools like Claude and GitHub Copilot, architect hybrid retrieval systems for LLM-based agents and data exploration, and collaborate with a product development team using React and Node.js. The role involves leading AI initiatives, utilizing Azure cloud infrastructure, staying updated on the LLM/AI ecosystem, developing advanced AI agents with LangGraph and MCP, building data services with Kafka and RabbitMQ, and implementing CI/CD workflows with GitHub Actions and Azure services.

Requirements

5+ years of professional experience with Python, demonstrating deep expertise in designing, building, and optimizing backend services, automation scripts, and AI-driven applications.
Proven experience working with Generative AI tools such as Claude, Cursor, GitHub Copilot, or similar, with the ability to integrate them effectively into real-world solutions.
Strong background in modern data retrieval architectures, including hands-on experience with vector databases, embedding stores, and hybrid search systems.
Expertise in indexing, querying, and retrieving data from large-scale data lakes, with an emphasis on optimizing relevance and efficiency for LLMs and AI agents.
Solid understanding of APIs, microservices, and distributed backend architecture for building scalable, fault-tolerant systems.
Hands-on experience deploying and managing solutions in Azure or equivalent cloud platforms.
Excellent English communication skills, both written and verbal, with the ability to clearly convey complex concepts to technical and non-technical audiences.
Collaborative and team-oriented mindset, with a focus on collective success and a willingness to share knowledge.

Nice To Haves

Knowledge of NLP technologies such as Word2Vec, CBOW, LSTM, ML, RNNs, NLTK, and related AI/ML frameworks.
Experience with data processing frameworks like Apache Flink, Apache Spark, and Superset, as well as ELT/ETL tools such as Airflow or Meltano.
Strong working knowledge of PostgreSQL, including query optimization and advanced data modeling techniques.

Responsibilities

Designing, developing, and deploying smart, scalable, and production-ready AI-powered services using Python, ensuring optimal performance, maintainability, and adaptability to evolving business needs.
Leveraging cutting-edge AI tools such as Claude, Cursor, GitHub Copilot, and other emerging technologies to accelerate development workflows, enhance code quality, and drive innovation.
Architecting and optimizing hybrid retrieval systems to support LLM-based agents, large-scale knowledge bases, and enterprise data lake exploration, focusing on speed, relevance, and scalability.
Collaborating closely with the core product development team—working in a tech stack that includes React and Node.js to seamlessly integrate AI capabilities into end-user experiences.
Leading new AI initiatives from concept to deployment—rapidly prototyping solutions, conducting feasibility testing, refining designs, and driving continuous improvements in alignment with product and business objectives.
Utilizing Azure cloud infrastructure to deploy, monitor, and manage AI workloads, applying best practices for scalability, cost-efficiency, and security.
Staying ahead of the rapidly evolving LLM/AI ecosystem, continuously evaluating new frameworks, models, and approaches to keep the organization at the forefront of AI adoption.
Developing advanced AI agents using LangGraph, MCP, gRPC, and a combination of proprietary and open-source models, ensuring robust performance in complex environments.
Building scalable and resilient data services using Kafka, RabbitMQ, and a variety of ELT platforms to support high-throughput, real-time data processing.
Implementing CI/CD workflows with GitHub Actions, Azure services, ArgoCD, and Argo Workflows, working closely with the SRE team to ensure smooth deployments and operational stability.