Senior ML/Python Engineer

We’re Devopsbay - MLOPS, DevOps and AI Specialists. We know how nodes works, how to make the cloud cheaper or adapt AI to boost any area that companies need (any many more). We support our clients with strong engineers on a project basis and are always on the lookout for stellar performers. Our clients are at the cutting edge of modern solutions. We also develop our inhouse products: https://descrb.com/ & https://defencebay.com/ 

Please note that working within this project means availability for meetings in PT timezone (mainly till 19:00, usually no later than 18:00) and fluent English.

About project:

It is a modern insurance brokerage and advisory firm that supports fast-growing companies, particularly in the technology, life sciences, and professional services sectors.

The organization combines deep risk management expertise with advanced technology and AI-powered tools to deliver more efficient, tailored insurance solutions to its clients.

Its mission is to transform the traditional insurance industry, which is often perceived as complex, slow, and not well suited to the needs of modern businesses.

Through digital workflows, automation, and a customer-centric approach, the company simplifies insurance processes, accelerates decision-making, and improves transparency across the entire client experience.

By partnering with ambitious leaders and innovative organizations, it helps businesses identify, manage, and mitigate risks associated with growth.

Beyond providing insurance coverage, the company offers strategic advisory services that enable clients to make confident decisions and scale their businesses with greater security and peace of mind.

What you will do :

• Work with the following technologies and environments: Agentic AI, TypeScript, Snowflake, AWS, LLM-related technologies, data integrations, APIs, ETL/ELT pipelines.

• Build LLM-powered applications using modern approaches such as retrieval-augmented generation, tool usage, context management, prompt engineering, evaluation, and feedback loops.

• Work on a chatbot that can learn from user interactions, improve over time, and support users with domain-specific knowledge.

• Design and implement integrations with multiple internal and external data sources.

• Prepare reliable data pipelines, transformations, and data-access layers that enable LLM applications to use structured and unstructured data effectively

• Take ownership of ambiguous problems and drive solutions end-to-end. Communicate with the team, discuss new ideas, and work closely with non-technical users.

• Work on a dynamic, startup-style project where learning the domain, experimenting, and iterating quickly are important.

Nice To Have:

• Experience with event-driven architectures and workflow orchestration tools.

• Experience in regulated domains such as insurance, fintech, or healthcare.

• Familiarity with AWS services and distributed backend infrastructure.

Benefits:

• B2B contract

• International projects, often at the cutting edge of technology

• Experienced team - exchange your expertise with other passionate engineers

• A challenging yet thriving work environment - we push ourselves to be better everyday

• Modern tech stacks

• Remote working possibilities

• Flexible hours