AI Solutions Engineer
Description
We are looking for an experienced AI Engineer to help our client design and build proof-of-concept and production-ready AI solutions using AWS AI services and modern LLM frameworks. In this role, you will work on agent-based AI systems, scalable LLM applications, and intelligent automation workflows, collaborating closely with engineering and business teams to deliver practical AI-driven solutions.
office remoteEuropean UnionGeorgiaKazakhstanUzbekistan
Requirements
- Strong experience in Python development
- Experience building LLM or agent-based applications using LangChain, LangGraph, or similar frameworks
- Hands-on experience with AWS Bedrock, including models, Agents, and tool/function calling
- Experience with AWS SageMaker and Bedrock Knowledge Bases
- Understanding of LLM limitations and practical challenges, including hallucinations, context management, and cost/latency trade-offs
- Experience designing end-to-end AI systems, including agent workflows and scalable AI services
- At least one real-world project involving AI agents deployed to production with measurable business impact or automation outcomes
- Experience creating custom tools/functions for AI agents
- Familiarity with evaluation, testing, and monitoring of LLM systems
- Strong communication and problem-solving skills
- English skills sufficient for technical communication and participation in project discussions
Nice to have
- Hands-on experience with UiPath platform, including classic RPA and Agentic Automation
- Experience building and optimizing RAG pipelines (chunking, embeddings, retrieval tuning)
- Experience integrating AI agents with APIs, databases, and enterprise systems
- Familiarity with OpenSearch, vector databases, or semantic search solutions
- Experience with AWS Lambda, API Gateway, and S3
- Experience deploying and supporting AI solutions in production environments
- Familiarity with AI governance, observability, or GenAI security practices
Responsibilities
- Design and develop LLM and agent-based applications using modern AI frameworks and AWS AI services
- Build scalable AI workflows and agent orchestration solutions using LangChain, LangGraph, or similar technologies
- Develop and maintain integrations between AI agents, APIs, databases, and external systems
- Work with AWS Bedrock services, including models, Agents, and tool/function calling capabilities
- Support implementation of RAG-based solutions, including embeddings, chunking, and retrieval optimization
- Create custom tools/functions for AI agents and automation workflows
- Contribute to architecture decisions for scalable and production-ready AI systems
- Support evaluation, testing, monitoring, and continuous improvement of LLM-based applications
- Collaborate with cross-functional teams to prototype and deliver AI-powered automation solutions
We offer
- Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota;
- Competitive compensation that depends on your qualification and skills
- Career development system with clear skill qualifications
- Flexible working hours aligned to your schedule
- Options to work remotely
- Corporate medical insurance covering services of private and public medical centers
- English courses online
- Corporate parties and events for employees and their children
- Internal conferences, workshops and meetups for learning and experience sharing
- Gym membership compensation
- 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate
Any questions?
Mariya
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AI Solutions Engineer
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