AI Solutions Engineer

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.

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