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Selected role

Senior Agentic AI Engineer

Icanio Technologies Inc Boston, MA, US

$145k - $166k Senior Full-time

We are seeking a Senior Agentic AI Engineer to design, build, and optimize production-grade agentic AI solutions using large language models, advanced reasoning frameworks, and cloud-native architectures. This role will focus on building intelligent, scalable, and observable AI systems on AWS, with strong emphasis on AWS Bedrock AgentCore, multi-agent orchestration, A2A/MCP integration, RAG, NL2SQL, and end-to-end deployment of enterprise AI capabilities. This aligns with the core responsibilities and technologies listed in your draft, including Bedrock AgentCore components, A2A/MCP servers, Strands Agents, observability, LLM engineering, vector retrieval, and agent frameworks.

Key Responsibilities

Design, build, and optimize agentic AI applications and product features using AWS Bedrock AgentCore
Develop serverless, scalable, and production-ready AI architectures on AWS
Implement and operate A2A and MCP servers on AWS, and integrate them with Bedrock Agents and Converse APIs
Orchestrate multi-agent workflows and reasoning pipelines using frameworks such as Strands Agents
Build robust observability and auditability into agent systems using CloudWatch metrics, traces, and logs
Develop and improve NL2SQL / Text-to-SQL pipelines using LLMs and AI/ML techniques
Design and optimize RAG pipelines using vector databases, embeddings, and structured/unstructured enterprise data
Integrate AI systems with data connectors, APIs, and gateway services to enable seamless enterprise workflows
Partner with product managers, data engineers, UX teams, and stakeholders to deliver measurable business impact
Contribute to the AI roadmap, solution design, evaluation standards, and production deployment best practices

Required Skills & Experience

7+ years of software engineering experience, with strong hands-on work in Python and distributed/cloud-based application development
3+ years of experience in Generative AI / LLM application development
Strong hands-on experience with AWS Bedrock AgentCore, especially Memory, Gateway, Runtime, Identity, Observability, or related services
Experience building agentic workflows, multi-agent systems, or reasoning-based AI applications
Strong understanding of LLMs, including prompt engineering, evaluation, fine-tuning concepts, and production usage patterns
Hands-on experience with RAG architectures, vector databases, embedding models, and enterprise retrieval workflows
Experience building NL2SQL / Text-to-SQL solutions using AI/ML or LLM-based approaches
Hands-on experience with one or more agent frameworks such as Strands, LangGraph, LangChain Agents, Semantic Kernel, or CrewAI
Experience integrating AI services with APIs, data connectors, and gateway-based enterprise systems
Strong problem-solving skills with the ability to work in a fast-paced, innovation-driven environment
Strong communication and stakeholder management skills, with the ability to explain complex AI concepts clearly

Preferred Qualifications

Experience with AWS-native observability and monitoring for AI applications
Exposure to enterprise AI ecosystems such as OpenAI, Anthropic, Azure AI Foundry, Copilot Studio, Google Gemini, or Microsoft 365 Copilot
Experience working with structured and unstructured data for AI training, retrieval, and reasoning workflows
Experience in productionizing AI solutions with governance, auditability, security, and measurable business outcomes
Familiarity with enterprise-scale solution design and cross-functional delivery

Nice-to-Have Skills

Experience with fine-tuning workflows or LLM adaptation strategies
Exposure to agent governance, evaluation frameworks, and AI safety/guardrails
Experience supporting data-driven transformation initiatives across business teams
Prior experience in highly collaborative, research-driven, or innovation-led engineering environments

What Success Looks Like

Build and deploy scalable agentic AI systems that are reliable, observable, and enterprise-ready
Deliver measurable improvements in automation, reasoning, retrieval quality, and user productivity
Establish strong engineering patterns for multi-agent architecture, RAG, and Bedrock-based AI delivery
Serve as a key technical contributor in shaping the organization’s agentic AI strategy

My take on this rewrite

This version fixes the biggest problems in your draft:

gives the role a stronger title than “Agentic Developer”
separates responsibilities, required skills, and preferred skills
removes awkward fragment-style lines from the original draft such as the incomplete responsibility phrasing
keeps the real technical stack from your document: Bedrock AgentCore, A2A/MCP, Strands, CloudWatch, LLMs, Python, NL2SQL, vector databases, RAG, and agent frameworks

Pay: $70.00 - $80.00 per hour

Work Location: In person

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