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Senior AI Engineer

Envision Pharma Group -
Remote

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Job Details

$3 an hour

Qualifications

AI models
Ontology
Roadmap creation (System development task)
Performance monitoring
Software engineering
Continuous Delivery (CD) implementation
Engineering development testing
Kubernetes
Product roadmapping
Software deployment
Coaching
Risk mitigation strategy development
Regulatory compliance
Generative models
Public Cloud
AI platforms (beyond public GPTs)
Scalable systems
Computational framework
Infrastructure architecture design
Collaboration with product development teams
Data caching
AWS
Model deployment
Version control systems
SDKs
Developing large-scale AI models
Mentoring
Data pipelines
APIs
Developing automated testing protocols

Full Job Description

Work shouldn't just be something we do; it should have a purpose. At Envision, we believe in creating life-changing outcomes through the work we do with our clients, giving back to our communities, while creating a company culture where our people thrive. We believe success starts with a workplace where everyone feels valued, supported, and empowered to grow.

Being part of a collaborative team means there's no limit to what you can achieve. With us, you can be a part of a growing company you want to work for.

Our Vision: To unleash the power of combined intelligence to accelerate patient access to life-changing treatments.

Our Mission: Delivering smarter and faster solutions to create, communicate, and commercialize value for our clients.

Our Values: Excellence, People, Growth

The opportunity

We are looking for a pragmatic Senior AI Engineer who will lead the end-to-end delivery of production-grade AI systems, combining strong software engineering with deep applied AI expertise. In this role, you will help set the technical direction for AI initiatives, own critical engineering efforts, and mentor engineers while collaborating cross-functionally to deliver AI systems that are reliable, measurable, and impactful in production.

You will work closely with software engineers and product managers to build AI solutions that solve real problems for global pharmaceutical clients. We value engineers who prioritize evaluation over hype, automation where it adds leverage, and simple, resilient systems that perform well in real-world environments.

How will you make an impact at Envision Pharma Group?

Role responsibilities

Lead the technical strategy for AI initiatives spanning multiple teams and impacting global pharmaceutical clients.
Design and deliver AI-powered applications from prototype through to production using modern LLM frameworks and APIs.
Design and implement traditional ML algorithms end-to-end.
Architect scalable, resilient, and observable AI systems, including RAG pipelines, agentic workflows, and context engineering strategies.
Build and optimise Retrieval-Augmented Generation (RAG) pipelines integrating vector databases and large language models.
Apply agentic AI patterns (tool use, planning, reflection loops) pragmatically to solve complex problems.
Develop context engineering strategies to improve model output quality and mitigate hallucination risks.
Establish and evolve evaluation frameworks that measure real-world AI performance, including accuracy, latency, user experience, and safety.
Champion engineering excellence through strong testing practices, code quality, observability, and CI/CD standards.
Ensure AI systems meet security, compliance, and explainability standards within regulated environments.
Collaborate closely with product, platform, and infrastructure teams to build systems that scale reliably and fail gracefully.
Translate complex AI concepts for non-technical stakeholders and contribute to discovery, scoping, and roadmap planning.
Mentor associate and mid-level engineers through code reviews, architecture guidance, and technical coaching.

Do you have what we are looking for?

Skills & expertise

Extensive experience in software engineering or data science, with a strong demonstrated focus on ML or AI engineering.
Expert-level proficiency in Python and experience integrating LLM APIs such as OpenAI, Anthropic, or similar platforms.
Deep experience with GenAI frameworks including LangChain, LlamaIndex, Haystack, or Hugging Face Transformers.
Strong experience implementing RAG pipelines using vector databases such as Pinecone, FAISS, or Weaviate.
Proven ability to evaluate AI systems through custom evaluation frameworks, benchmarking, and dataset curation.
Demonstrated experience delivering end-to-end AI applications, from concept and prototyping through production deployment and monitoring.
Experience deploying agentic AI solutions in production environments with measurable business impact.
Strong grounding in software engineering best practices, including version control, modular design, automated testing, and CI/CD.
Excellent communication skills and ability to explain complex AI concepts to non-technical stakeholders.
Strong understanding of AI ethics, bias mitigation, and responsible AI practices.

Nice to have

Experience working with life sciences data, ontologies, or regulatory submissions.
Familiarity with privacy-preserving techniques and model explainability in production AI systems.
Experience with AWS, Kubernetes, feature stores, or model registries.
Track record of optimising AI workloads for cost efficiency, including token usage, caching strategies, and hybrid retrieval.
Experience building AI platforms, SDKs, or reusable AI pipelines, and managing external AI vendors.
Exposure to clinical trial data or real-world evidence generation.

The provided salary range reflects the potential base salary for this role in the United States, considering factors such as your professional and academic experience, training, and role responsibilities. In addition to a competitive base salary, we offer an attractive total compensation benefits package designed to reward and support our people.

#TogetherWeDiscover

Do you have the experience we are looking for? If so, explore your place at Envision today!

Apply Now

Refine Your Search

anthropic retrieval augmented generation algorithms jobs

Senior AI Engineer

Senior Data Scientist

Senior Generative AI Engineer

Data Scientist AI

Consulting - Tech Con - AI and Quant Modelling - AI Data Sci - Manager - Mul Positions - 1701508

Applied AI Health Data System Engineer-Senior Manager

Senior AI Engineer

AI Engineer

Machine Learning Scientist II - Multimodal AI

AI Architect

Tech Faculty (Software Engineering & Agentic AI)

Senior / Information Retrieval Engineer (AI/ML), Brand Concierge

Lead AI Engineer

Senior Machine Learning Scientist

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