AI Engineer (Agentic Systems)

Vallettasoftware - custom mobile/web software developer in the US and Europe. Our teams implement IT projects of varying complexity, including website and mobile app development, enterprise systems, and solutions based on artificial intelligence and machine learning (AI/ML).
We are proud to be named as one of the Top 10 Software Development Companies in Q2 2026 by 50Pros|Discover top agencies.
Our thorough approach to every project and deep understanding of Client's needs allow us to manage the outstanding quality.
We are a distributed team - you can work from any place in the world, ensuring silence, good internet connection, availability and proper environment .
Now we’re looking for a AI Engineer to boost the client's team.
📍Remote· 💼 B2B contract · 🗣 English B2 💰 $4500-4800/mo
Project Responsibilities:
- Design, build and run LLM agents in production, both client-facing and internal.
- Build MCP servers on top of existing databases and production systems, and orchestrate several internal and external MCP servers under one agent.
- Design memory, context management and RAG for production use.
- Set up evaluation, handle edge cases and improve agents step by step after release.
- Work in an architecture that combines databases, interfaces, agents and orchestrator applications.
- Work on Amazon Bedrock and/or Microsoft Foundry.
Candidate's Portrait:
- Hands-on Middle+ to Senior AI engineer who has already shipped agents to production and can explain how they fail and how they were fixed.
- Ambitious, learns quickly, and experiments with new tools and models independently.
- Not a classic backend developer who recently added AI to the CV.
- At least 1.5–2 years of hands-on LLM and production-agent experience, with a background in ML, Python or Data Science.
Must-haves:
- 6+ years of overall IT experience as Software Engineer, ML Engineer or AI Engineer.
- Hands-on production experience with Amazon Bedrock and/or Microsoft Foundry (Azure AI Foundry, Azure OpenAI).
- Built and shipped production LLM agents for both client-facing conversational AI and internal workflow automation.
- Strong experience with at least one agent framework: LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, Strands Agents or OpenAI Agents SDK.
- Deep MCP experience: building MCP servers on top of existing databases and systems, integrating external MCP servers, and orchestrating several under one agent.
- Production-grade RAG, memory and context engineering: embeddings, chunking, hybrid search, reranking, vector databases, and short- and long-term agent memory.
- Can name and explain personally implemented agentic patterns: ReAct, planner-executor, reflection, router, supervisor, multi-agent, or human-in-the-loop.
- Experience with LLM evaluation, guardrails and production monitoring, plus iterative improvement based on real usage and failure cases.
- Understanding of architecture combining databases, APIs, agents and orchestrator applications, with practical Docker and CI/CD experience.
Nice-to-have:
- Trading, investing, brokerage or crypto domain knowledge combined with AI engineering; top priority for the first batch.
- Fintech or regulated-industry background, including compliance, data protection or auditability of AI outputs.
- Broader AWS or Azure cloud experience around the Bedrock/Foundry stack.
- Experience with LLM evaluation and observability tools such as LangSmith, Langfuse, Ragas or custom evaluation pipelines.
- Deep practical mastery of agentic development tools used to deliver full prototypes quickly; this counts only on top of the must-haves.
🌍 Joining Valletta Software Development means:
A Global, Thriving Team
Join remotely 100+ specialists from 20+ countries, united by a passion for outstanding IT solutions.
Diverse projects: Fintech, MedTech, AI/ML, e-commerce, and more. Switch teams or industries to broaden your skills.
Support at Every Step Client interview prep: We train you to succeed + give actionable feedback.
Strategic stability: Well-structured processes, strong management, and long- term vision.
Core values: Honesty, flexibility, innovation, and a people-first approach.
Regular salary.

Work arrangement
Yes