AI-Engineer
We are looking for an AI-Engineer to build an intelligent Agentic AI Systems that will automate up to 80% of routine Legal and Finance workflows, reduce operational overhead, and free up experts for strategic work within the company.
Remote Full-Time | AI
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job description
WHAT YOU’LL DO:
- Build and deploy end-to-end AI agent architectures with reasoning, planning, and self-correction capabilities.
- Fine-tune and optimize large language models to enable agentic behavior grounded in real-world data and context.
- Develop advanced prompts, workflows, and coordination strategies for multi-agent systems and task orchestration.
- Integrate AI agents with external APIs, tools, and databases; ensure scalable and performant backend infrastructure.
- Apply MLOps best practices for deployment, monitoring, versioning, and observability of agentic systems.
- Explore and adopt emerging agentic AI frameworks and techniques to continuously improve system intelligence.
- Perform exploratory data analysis and build dashboards to track KPIs and system performance.
- Collaborate with data, engineering, and product teams to translate business needs into impactful AI solutions.
- Identify and optimize high-impact automation opportunities through process mapping and systems thinking.
- Build secure, reliable, and scalable MLOps pipelines, balancing strong technical execution with business value and ROI.
WHAT WE EXPECT FROM YOU:
- Programming Proficiency:
- Proven experience in developing and deploying AI agents or autonomous systems.
- Strong command of Python and AI/ML libraries such as PyTorch and TensorFlow.
- AI/ML Expertise:
- Hands-on work with LLMs and generative AI frameworks.
- Deep knowledge of prompt engineering, RAG pipelines, and vector databases.
- Data Wrangling & EDA:
- Skilled in data acquisition, transformation (ETL), and validation for AI model readiness.
- Software Engineering (AI-Infused):
- Strong system design, testing, and version control (Git) fundamentals.
- Backend development experience for AI/ML pipelines.
- Familiarity with Google cloud platform.
- Proven track record using AI-assisted workflows for solution development.
- Agentic Frameworks:
- Practical experience with Claude Code, CrewAI, LangChain, LlamaIndex.
- Additional experience:
- Experience with conversational AI and chatbot systems.
- Awareness of LLM security challenges (e.g., prompt injection).
- Exposure to high-scale AI model deployment in low-latency environments.
- A public portfolio or GitHub projects demonstrating applied AI agent development.
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YOUR JOURNEY WITH US:
- Step 1: Pre-screen.
- Step 2: Interview.
- Step 3: Test task.
- Step 4: Reference check.
- Step 5: Job Offer!
WHAT WE OFFER:
- 28 business days of paid off.
- Flexible hours and the possibility to work remotely.
- Medical insurance and mental health care.
- Compensation for courses, trainings.
- English classes and speaking clubs.
- Internal library, educational events.
- Outstanding corporate parties, teambuildings.
WHAT WE OFFER:
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