Urwah Admin

DM Clinical Research

<div>We are seeking an AI Applications Engineer with deep expertise in AI systems development to join our engineering team. In this role, you&rsquo;ll bridge the gap between ML research and real-world software delivery &mdash; designing, developing, and deploying intelligent applications powered by modern AI technologies including LLMs, multimodal models, and agentic workflows. You'll work closely with data scientists, ML engineers, and product managers to ship cutting-edge, scalable AI-powered features across web, backend, and mobile platforms. 
DUTIES &amp; RESPONSIBILITIES<ul><li>
Design and build AI-native applications leveraging LLMs (e.g., OpenAI, Anthropic, Mistral) and multimodal models.</li><li>
Architect and implement agent-based workflows using frameworks like LangGraph, CrewAI, and AutoGen.</li><li>
Develop production-grade Python services using FastAPI or similar frameworks to expose AI functionalities via APIs.</li><li>
Fine-tune and serve custom LLMs for text, voice, and multimodal inputs; implement Retrieval-Augmented Generation (RAG) pipelines.</li><li>
Integrate vector search systems (e.g., Weaviate, Qdrant, Pinecone) for semantic memory and contextual reasoning.</li><li>
Use modern orchestration tools like LangChain, Flowise, Haystack, or n8n to prototype and scale intelligent flows.</li><li>
Leverage the OpenAI Function Calling / Tools API and Model Context Protocol (MCP) to build structured, dynamic LLM interactions.</li><li>
Implement continuous evaluation loops using synthetic data, human feedback (RLHF), and evaluation frameworks like Ragas or DeepEval.</li><li>
Collaborate with ML/infra teams to containerize, deploy, and monitor models using tools like Docker, MLflow, BentoML, or Kubernetes.</li><li>
Build scalable, secure, and efficient AI feature delivery pipelines across web and mobile platforms.</li><li>
Stay current with developments in foundation models, agent frameworks, multimodal AI, and open-source toolkits.</li></ul>
KNOWLEDGE &amp; EXPERIENCE
Education:<ul><li>
Bachelor's or Master&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or related discipline.</li></ul>
Experience:<ul><li>
2&ndash;4 years of experience building and deploying AI/ML-powered software.</li><li>
Proven track record of delivering LLM-integrated applications and/or agentic workflows in production.</li><li>
Experience in any of the following domains is a plus: NLP, computer vision, multimodal models, or conversational AI.</li></ul>
Knowledge and Skills:<ul><li>
Proficient in Python and building production-grade RESTful APIs (FastAPI preferred).</li><li>
Experience working with foundation model APIs (OpenAI, Claude, Gemini, Mistral, Cohere).</li><li>
Familiarity with LangChain, LangGraph, CrewAI, Flowise, or similar frameworks.</li><li>
Experience implementing RAG pipelines and retrieval layers with vector databases (Pinecone, Qdrant, Weaviate, FAISS).</li><li>
Understanding of prompt engineering, structured memory (MCP), tool calling, and multi-turn conversation flows.</li><li>
Comfortable with tools like MLflow, Weights &amp; Biases, or BentoML for model versioning and tracking.</li><li>
Ability to integrate with third-party services, RESTful APIs, and webhooks (Zapier, n8n, etc.).</li><li>
Familiarity with MLOps and CI/CD workflows for AI applications.</li><li>
Experience working with containerized environments (Docker, Kubernetes).</li><li>
Git, agile software development practices, and collaborative code workflows.</li><li>
Experience with speech recognition (Whisper), text-to-speech (ElevenLabs), or multimodal APIs (e.g., GPT-4o).</li></ul></div>

AI Applications Engineer

<div>The IT Manager &ndash; Clinical Trials is responsible for overseeing the design, implementation, security, and ongoing support of IT systems that enable clinical trial operations. This role manages cloud-based infrastructure across Microsoft Azure and Google Cloud Platform (GCP), supports validated clinical systems, ensures regulatory compliance (GxP, HIPAA, 21 CFR Part 11), and partners closely with Clinical Operations, Data Management, and Engineering teams. The role combines people leadership, cloud architecture oversight, vendor management, and compliance ownership in a regulated clinical research environment.
DUTIES &amp; RESPONSIBILITIES
IT Operations &amp; Service Management<ul><li>
Lead IT operations including incident management, change management, and problem resolution</li><li>
Define and maintain IT policies, SOPs, and runbooks</li><li>
Manage SLAs with internal teams and external vendors</li></ul>
Cloud &amp; Infrastructure Management<ul><li>
Own and manage cloud infrastructure across Azure and GCP, including compute, networking, storage, databases, and security services</li><li>
Ensure high availability, scalability, disaster recovery, and cost optimization of cloud environments</li><li>
Oversee hybrid and multi-cloud architectures supporting clinical trial platforms</li><li>
Manage identity and access using Azure AD / IAM, role-based access control (RBAC), and least-privilege principles</li><li>
Support end-user IT needs related to clinical systems and secure access</li></ul>
Clinical Systems &amp; Applications<ul><li>
Support IT systems used in clinical trials (e.g., CTMS, eTMF, EDC, patient engagement platforms, AI/telephony systems)</li><li>
Partner with engineering teams supporting custom platforms (e.g., patient management, communications, integrations)</li><li>
Ensure validated system lifecycle management (CSV/CSA) for GxP systems</li><li>
Oversee system integrations, APIs, and data flows between internal platforms and third-party SaaS Vendors</li></ul>
Security, Compliance &amp; Risk<ul><li>
Ensure compliance with HIPAA, GDPR, GxP, 21 CFR Part 11, SOC 2, and internal security policies</li><li>
Lead audit readiness, vendor assessments, and security reviews</li><li>
Implement monitoring, logging, incident response, and vulnerability management</li><li>
Own data protection strategies including encryption, backup, retention, and access auditing</li></ul>
Leadership &amp; Collaboration<ul><li>
Manage and mentor IT staff and/or contractors</li><li>
Act as a trusted IT partner to Clinical Operations, QA, Compliance, Product, and Engineering teams</li><li>
Translate clinical and business requirements into secure, scalable technical solutions</li><li>
Participate in technology roadmap planning and platform modernization initiatives</li></ul>
KNOWLEDGE &amp; EXPERIENCE
Education &amp; Experience<ul><li>
Bachelor&rsquo;s degree in Information Technology, Computer Science, or related field (or equivalent experience)</li><li>
7+ years of progressive IT experience, including 3+ years in a leadership or managerial role</li><li>
Direct experience supporting clinical trials, life sciences, healthcare, or regulated environments</li></ul>
Credentials:<ul><li>
Associate Google Workspace Administrator (preferred)</li></ul>
Knowledge and Skills:<ul><li>
Strong hands-on and architectural experience with Microsoft Azure</li><li>
Working knowledge of Google Cloud Platform (GCP)</li><li>
Experience with cloud databases (SQL, NoSQL), networking, and API-based systems</li><li>
Familiarity with DevOps, CI/CD, and infrastructure-as-code concepts</li><li>
Understanding of system validation and computerized system assurance (CSV/CSA)</li></ul></div>

IT Manager

Join DM Clinical Research and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

DM Clinical Research

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AI Applications Engineer

IT Manager