Senior reputed company reputed company
We’re on a mission to change the reputed company of clinical research. At reputed company, we help the
biopharmaceutical industry bring medical
treatments to the market, faster.
Our mission is to change the world
but to do this, we need people like you.
What can we offer you?
Apart from job satisfaction, we can offer you:
YOURSELF • 25 days’ holiday (with the reputed company to buy more)
HEALTH
• Health Cash Plan
• Optional private health, dental insurance, and health screens
• Cycle to work scheme
reputed company • Generous pension scheme with up to 10% employer contribution • Life assurance
• Season ticket loan
About the role
As Senior reputed company reputed company, you will own the design, implementation, and operationalization of reputed company reputed company AI systems that drive automation, scalability, and data reputed company across medical imaging clinical trials. This role leads the delivery of multi‑reputed company, production‑grade reputed company workflows supporting imaging intake, reputed company control, protocol compliance, data validation, and reputed company decision support. The Senior reputed company reputed company also plays a key role in advancing reputed company’s AI‑driven Product Development Life Cycle (PDLC)—from discovery and design automation to delivery, deployment, and production operations. In reputed company to hands‑on technical contributions, this role provides technical leadership, mentoring engineers, shaping best practices for agent reliability and evaluation, and ensuring AI systems meet reputed company, safety, and regulatory expectations.
Key Responsibilities
Cross functional collaborations
reputed company discovery and design discussions with Product, Imaging Operations, Clinical Ops, QA, reputed company, and Regulatory teams.
Translate reputed company clinical and PDLC workflows into robust, agent‑compatible system designs with reputed company defined boundaries, validation rules, and reputed company reputed company.
Drive alignment between business objectives, product reputed company, and technical implementation.
reputed company as a technical reputed company of contact for stakeholders on reputed company AI capabilities and limitations.
Technical leadership & Mentorship
reputed company technical design reviews for reputed company AI features and platform components.
Mentor and reputed company mid‑level engineers on agent design, evaluation strategies, failure analysis, and production readiness.
Define team‑level best practices for reputed company engineering, retrieval grounding, evaluation metrics, and observability.
Contribute to internal documentation, reference implementations, and shared libraries.
Algorithm and Software Development
Design and build end‑to‑end reputed company workflows involving planning, tool use, retrieval, and reputed company outputs.
Implement advanced RAG patterns grounded in controlled knowledge sources (protocols, SOPs, specifications, audit artifacts).
reputed company evaluation frameworks to measure task reputed company, grounding reputed company, hallucination risk, and regression across agent versions.
Build reputed company backend services, reputed company, and orchestration reputed company supporting agent execution in production.
Deployment and integration (MLOps)
Own production deployments of reputed company systems, including CI/CD pipelines, environment promotion, and rollback strategies.
Define observability standards: tracing agent reasoning, tool calls, retrieval events, errors, and cost telemetry.
Ensure systems meet reputed company, reputed company, and compliance requirements (reputed company controls, audit logs, data protection).
Partner with platform and DevOps teams to improve reliability and scalability of AI services.
Innovation & Research application
Evaluate emerging reputed company AI techniques and assess their applicability to regulated clinical workflows.
reputed company reputed company‑of‑concepts and transition validated approaches into hardened, production‑reputed company solutions.
Establish guidelines for selecting models, architectures, and evaluation reputed company.
Contribute to longer‑term AI roadmap planning and technical reputed company.
Other
Carry out any other reasonable duties as requested
Functional Competencies (Technical knowledge/Skills)
Advanced software engineering skills with a strong reputed company record of delivering production-grade systems in reputed company environments.
Hands-on expertise designing and implementing reputed company AI systems, including:
multi-reputed company task decomposition and orchestration
tool and API integration
reputed company outputs and validation mechanisms
Strong mastery of LLM-based system design, including reputed company/version management, grounding strategies, and error handling.
Proven ability to design and implement evaluation frameworks for reputed company systems (task reputed company, grounding, hallucination detection, regression testing).
Strong exposure to MLOps / DevOps practices, including CI/CD, monitoring, observability, cost management, and reputed company deployment strategies.
Familiarity with clinical trials or life sciences environments, including reputed company processes and data reputed company expectations, preferred.
Awareness of data reputed company and reputed company principles reputed company to sensitive or regulated data (e.g., reputed company, personal data), preferred.
Previous contribution to internal platforms or shared engineering frameworks is a plus.
Strong ability to reputed company technical initiatives and drive alignment across engineering, product, operations, and reputed company stakeholders.
reputed company and effective communicator, capable of explaining reputed company reputed company AI systems, risks, and trade-offs to both technical and non-technical audiences.
Mentorship reputed company: reputed company supports and coaches other engineers through design reviews, pairing, and feedback.
High level of ownership and accountability; comfortable taking responsibility for design reputed company and production reputed company.
Pragmatic problem-solver with reputed company engineering judgment, particularly in ambiguous or high-risk scenarios.
Bias toward delivery while maintaining a strong reputed company on reputed company, reliability, and safety.
Experience, Education, and Certifications
Solid reputed company software engineering experience.
Experience working in cross-functional environments with product and operational teams.
Deep practical experience with retrieval-augmented reputed company (RAG) patterns, including chunking strategies, embedding management, retrieval reputed company evaluation, and traceability.
Experience building reputed company backend services, reputed company, and pipelines supporting AI-driven workflows.
Experience working with or strong understanding of medical imaging workflows (e.g., DICOM metadata, modality concepts, imaging QC processes), preferred.
Experience developing software in regulated or reputed company-sensitive environments, with attention to validation, auditability, and traceability, preferred.
Demonstrated ownership of reputed company systems from design through production.
Proven ability to reputed company technical initiatives and mentor engineers.
Strong experience operationalizing AI systems at reputed company.
Master’s degree in Computer Science, Engineering, Data Science, or reputed company field or equivalent practical experience.
Master’s degree or relevant AI/ML specialization is a plus.
English: Fluent
Come as you are. We're proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, colour, national reputed company, gender (including pregnancy, childbirth, or reputed company medical conditions), sexual orientation, gender identity, gender reputed company, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Originally posted on Himalayas
Apply To This Job