AI Solutions Engineer

Quick Facts

Role: AI Solutions Engineer focusing on LLM and agent-based AI solutions.
Key platform: AWS AI services (Bedrock, SageMaker, Knowledge Bases).
Focus: Agent orchestration, RAG, automation workflows, and LLM evaluation/monitoring.

Description

Design and build proof-of-concept and production-ready AI solutions, including agent-based systems, scalable LLM applications, and intelligent automation workflows. Work with engineering and business teams to deliver practical AI-driven outcomes using modern LLM frameworks and AWS AI services. Responsibilities include agent orchestration, integrations, RAG implementations, and continuous improvement through evaluation and monitoring.

Responsibilities

• Design and develop LLM and agent-based applications using modern AI frameworks and AWS AI services
• Build scalable AI workflows and agent orchestration using LangChain, LangGraph, or similar technologies
• Develop and maintain integrations between AI agents, APIs, databases, and external systems
• Implement AWS Bedrock capabilities, including models, Agents, and tool/function calling
• Support RAG-based solutions using embeddings, chunking, and retrieval optimization
• Create custom tools/functions for AI agents and automation workflows
• Contribute to architecture decisions for scalable, production-ready AI systems
• Support evaluation, testing, monitoring, and continuous improvement of LLM-based applications
• Collaborate cross-functionally to prototype and deliver AI-powered automation 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: 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 production project involving AI agents with measurable business impact
• 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 project discussions

Benefits

• Projects for clients such as PayPal, Wargaming, Xerox, Philips, Adidas, and Toyota
• Competitive compensation based on qualifications and skills
• Career development system with clear skill qualifications
• Flexible working hours
• Option to work remotely