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Intime Infotech Inc Logo
Senior AI Engineer

Intime Infotech Inc

 

Gaithersburg, MD, USA

Posted On: 30+ days ago
Experience: 5+ years
Availability: Onsite
Openings: 1
Category: AI ENGINEER
Tenure: Contract - W2
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Description

 

Hands-on production experience with LLM systems, including: · Agentic workflows (multi-step reasoning, tool use, sub-agents, agent-to-agent communication) · Retrieval-Augmented Generation (RAG) pipelines and context engineering · Structured outputs, deterministic workflows, and auditable orchestration

Evaluation & Quality Engineering:  · Ground-truth dataset creation · LLM-as-judge and rule-based evaluation methods · Regression suites and statistical reasoning to separate signal from prompt noise

Production Software Engineering:  · Strong Python (packaging, structured-output validation, testing) · Ability to convert prototypes into reliable, production-grade services · Experience with critical software standards (specs, tests, traceability, code review)

Cloud & Platform Integration:  · Kubernetes · Azure and/or AWS (Bedrock, SageMaker) · CI/CD pipelines · Observability (cost, latency, caching, evaluation dashboards)

AI Foundations:  · Deep understanding of transformers, neural networks, and applied statistics · Ability to go beyond prompt engineering into underlying math and model behavior

Preferred Skills

· Experience with managed LLM platforms (Azure OpenAI, AWS Bedrock) · Experience training, fine-tuning, or distilling models · Full-stack familiarity (light UI work when needed; not a frontend role) · Pharma, biotech, or life sciences exposure (nice-to-have, not required) · Experience with enterprise AI governance, responsible AI frameworks, or regulated environments

Role Highlights

· Brand-new Forward Deployed AI team within AstraZeneca’s Enterprise AI Unit · High autonomy, greenfield ownership, and ability to influence architecture · Mix of existing frameworks + opportunities to build from scratch · Work directly impacts drug discovery, clinical trial operations, and regulatory workflows · AI stack includes AWS Bedrock, SageMaker, Azure ML, and proprietary platforms (JARVIS, MILTON) · Multi-agent systems already in use for clinical trial data queries · Strategic AI partnerships with Tempus AI, Pathos AI, Qure.ai


 

Education

Bachelor's degree

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