> Markdown version of [/jobs/ext/2561456-senior-specialist-data-sciences](https://www.wearedevelopers.com/jobs/ext/2561456-senior-specialist-data-sciences). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Specialist - Data Sciences - **Company:** LTM Inc - **Location:** Hartford, CT, United States (Remote available) - **Experience:** Expert - **Salary:** $81,500.0 - $134,500.0 - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Amazon Web Services, Continuous Integration, Github, Python (Programming Language), Search Technologies, TypeScript, AWS Cdk, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Fastapi, Virtual Agents, Terraform, Dynatrace, Databricks - **Published:** August 29, 2026 - **Apply:** https://www.careerjet.com/job/usf21075f8cdbcdd78270ebb99e03cef05/eaa ## About the Role Experience 7 to 9 years overall 2 years handson with LLMagentic systems Technical Skills Primary Production Python Amazon Bedrock agentic frameworks Strands or LangGraph CrewAI Autogen MCP embeddings and vector search structured prompt engineering LLM evaluation AI guardrails FastAPI GitHub Actions Terraform OpenTelemetry Technical Skills Secondary Nice to have NOT MANDATORY TypeScript React AWS CDK Databricks Claude Code LLM cost optimisation insurance or regulatedindustry exposure, Mandatory Skills : Agentic AI, Agentic AI Systems Design, Llm Based Models, Python AI ## Description Build and run production AI agents on AWS Bedrock and AgentCore You own them end to end orchestration retrieval guardrails evaluation and observability shipped through the same CICD discipline as any other service Build role not research Key Responsibilities Deploy LLM agents on AgentCore Bedrock Claude Sonnet standard runtime Orchestrate multiagent workflows with the AWS Strands SDK Build custom MCP servers in Python to connect agents to enterprise systems Own RAG pipelines Titan Embeddings v2 pgvector Databricks Vector Search Manage prompts as versioned code in Bedrock Prompt Management Enforce Bedrock Guardrails PII detection promptinjection defence Run output quality gates via AgentCore Evals Braintrust Instrument agents with OpenTelemetry into Dynatrace ELK steps token cost latency Ship via FastAPI GitHub Actions and Terraform, Job Description: Role Senior Developer AI Engineer Agentic Systems Experience 7 to 9 years overall 2 years handson with LLMagentic systems Technical Skills Primary Producti… + 16 hours ago, Job Description Remote Role, The Data Specialist will work closely with our cross-functional project team focused in building and improving the State of Connecticut's digital go… + 2 months ago ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) - [LLMs in the wild: Building an AI agent that survives production](https://www.wearedevelopers.com/videos/100319-llms-in-the-wild-building-an-ai-agent-that-survives-production) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)