agentic ai engineer

Perceptive

<div><p>We&rsquo;re on a mission to change the future of
<br>
clinical research. At Perceptive, we help the
<br>
biopharmaceutical industry bring medical
<br>
treatments to the market, faster.
<br>
Our mission is to change the world
<br>
but to do this, we need people like you.
</p><h2 class="jobSectionHeader"><b>What can we offer you?
</b></h2><p>Apart from job satisfaction, we can offer you:<br>
</p><div><br>
<b>YOURSELF
</b><br>
<ul><li>25 days&rsquo; holiday (with the option to buy more)<br>
</li></ul></div><div><br>
<b>HEALTH
</b><br>
<ul><li>Health Cash Plan
</li><li>Optional private health, dental insurance, and health screens
</li><li>Cycle to work scheme<br>
</li></ul></div><div><br>
<b>WEALTH
</b><br>
<ul><li>Generous pension scheme with up to 10% employer contribution
</li><li>Life assurance
</li><li>Season ticket loan
</li></ul></div><p></p><p><b>About the role
</b></p><p>As Agentic AI Engineer, you will design, build, and operationalize agentic AI capabilities to increase automation, improve data quality, and accelerate decision-making within medical imaging clinical trials. This role focuses on building AI agents that can reliably execute workflows such as intake and validation of imaging data, metadata reconciliation, protocol-driven checks, quality control support, and structured extraction from multi-modal artifacts (DICOM, non‑DICOM, reports, PDFs). In parallel, the role will help transform the company&rsquo;s Product Development Life Cycle (PDLC) into an AI-driven lifecycle&mdash;enabling agentic workflows from Product Discovery (e.g., requirements synthesis, research, backlog shaping) to Delivery and Deployment (e.g., test generation, release readiness, documentation automation) through Production Operations (e.g., incident triage, observability insights, automated runbooks), while ensuring safety, compliance, traceability, and human oversight.
</p><p></p><p><b>Key Responsibilities
</b></p><p><b>C </b><b>ross functional collaborations
</b></p><ul><li><p>Partner with Product, Imaging Ops, Data Engineering, QA, Security, and Regulatory/Quality to identify high-value automation opportunities and define agentic AI use cases.
</p></li><li><p>Translate clinical-trial imaging workflows and PDLC processes into agent-ready task models (inputs, outputs, constraints, guardrails, acceptance criteria).
</p></li><li><p>Work with SMEs to define quality rubrics, evaluation datasets, and human review workflows to validate agent outputs.
</p></li><li><p>Support change management: help teams adopt agentic features with clear UX patterns, onboarding, and documentation.
</p></li></ul><p></p><p><b>Technical ownership
</b></p><ul><li><p>Promote engineering best practices for agentic systems: reliability, observability, evaluation, reproducibility, and secure-by-design patterns.
</p></li><li><p>Contribute to internal standards for: prompt/version control, agent tools/plugins, retrieval configuration, grounding/citations, and human-in-the-loop review.
</p></li><li><p>Participate in design reviews and provide guidance on selecting frameworks and architectures.
</p></li><li><p>Coach peers through code reviews, pairing, demos, and knowledge-sharing sessions.
</p></li></ul><p></p><p><b>Algorithm and Software Development
</b></p><ul><li><p>Build agentic workflows (multi-step reasoning + tool use) that support imaging trial processes such as:
</p></li><li><p>data intake and validation (DICOM/non‑DICOM), metadata consistency checks
</p></li><li><p>protocol-driven QC support and discrepancy detection
</p></li><li><p>data completeness checks and structured issue creation
</p></li><li><p>automated summarization of imaging packets and context generation for reviewers
</p></li><li><p>Implement retrieval-augmented generation (RAG) patterns grounded in controlled knowledge sources (SOPs, protocols, specs, runbooks), with traceability.
</p></li><li><p>Develop evaluation harnesses for agent behavior: task success rate, hallucination/grounding checks, regression testing, and bias/failure-mode analysis.
</p></li><li><p>Contribute production-quality code (APIs, services, pipelines) with strong testing, documentation, and maintainability.
</p></li></ul><p></p><p><b>Deployment and integration (MLOps)
</b></p><ul><li><p>Package and deploy agentic services using approved cloud and SDLC patterns: CI/CD, infrastructure-as-code, secret management, and environment promotion.
</p></li><li><p>Implement guardrails and controls: access control, tool permissions, sandboxing, content filtering, rate limits, and audit logging.
</p></li><li><p>Build observability: traces, structured logs, evaluation telemetry, cost monitoring, and error analytics (agent runs, tool calls, retrieval hits, model performance).
</p></li><li><p>Ensure safe production operations: rollback strategies, feature flags, canary releases, and incident playbooks.
</p></li></ul><p></p><p><b>Innovation &amp; Research application
</b></p><ul><li><p>Stay current on agentic AI patterns (planning, tool use, memory, multi-agent coordination, structured outputs) and evaluate feasibility for regulated workflows.
</p></li><li><p>Prototype and validate new capabilities quickly, then harden into production-ready features.
</p></li><li><p>Run experiments comparing models, prompts, retrieval strategies, and agent architectures; document results and recommendations.
</p></li><li><p>Identify opportunities to standardize and reuse agent components across clinical imaging workflows and PDLC automation.
</p></li></ul><p></p><p><b>Other
</b></p><ul><li><p>Carry out any other reasonable duties as requested.
</p></li></ul><p></p><p><b>Functional Competencies (Technical knowledge/Skills)
</b></p><ul><li><p>Strong software engineering skills (clean architecture, APIs, testing, code reviews).
</p></li><li><p>Solid grounding in RAG and knowledge grounding patterns (chunking, embeddings, retrieval quality, citations/traceability).
</p></li><li><p>Familiarity with MLOps / DevOps: CI/CD, monitoring, logging, secure deployment practices.
</p></li><li><p>Data handling fundamentals: schema design, data validation, data lineage, and auditability.
</p></li><li><p>Exposure to medical imaging concepts (DICOM, metadata, modality basics) and/or clinical trial workflows, preferred.
</p></li><li><p>Working knowledge of regulated software expectations (validation mindset, audit trails, traceability), preferred.
</p></li><li><p>Familiarity with privacy/security principles for sensitive data, preferred.
</p></li><li><p>Strong communication skills; can explain technical trade-offs to non-technical stakeholders.
</p></li><li><p>Comfortable working across teams and iterating with end users.
</p></li><li><p>Bias for action: can prototype quickly and then productionize reliably.
</p></li><li><p>High ownership and accountability; pragmatic approach to risk and quality.
</p></li></ul><p></p><p><b>Experience, Education, and Certifications
</b></p><ul><li><p>Solid professional software engineering experience, including shipping production systems.
</p></li><li><p>Experience implementing LLM-based systems (agentic workflows, tool calling, structured outputs).
</p></li><li><p>Practical experience with evaluation of LLM/agent quality (offline tests + production telemetry).
</p></li><li><p>Demonstrated experience building or integrating AI-powered applications (LLMs, NLP, decision support, automation).
</p></li><li><p>Experience working in cross-functional environments with product and operational teams.
</p></li><li><p>Demonstrated experience designing systems with reliability and safety in mind (testability, monitoring, clear failure modes).
</p></li><li><p>Experience in healthcare/life sciences, clinical trials, imaging workflows, or regulated environments is a plus.
</p></li></ul><ul><li><p>Master&rsquo;s degree in Computer Science, Engineering, Data Science, or related field or equivalent practical experience.
</p></li><li><p>Master&rsquo;s degree or relevant AI/ML specialization is a plus.
</p></li></ul><p></p><p><b>Come as you are.
</b><br>
We're proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, colour, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.</p></div>

Agentic AI Engineer

Mindsprint

<div>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   We are seeking an experienced AI Engineer with 4+ years of strong expertise in Generative AI and Agentic AI, combined with solid production engineering capabilities.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The ideal candidate will have hands-on experience building, deploying, and scaling LLM-powered systems &mdash; moving beyond prototypes into robust, enterprise-grade AI applications.
 </p>
 <p>
  Key Responsibilities
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Design, build, and deploy GenAI / Agentic AI solutions, including:
 </p>
 <p>
  o LLM pipelines
 </p>
 <p>
  o Retrieval-Augmented Generation (RAG) systems
 </p>
 <p>
  o Autonomous AI agents
 </p>
 <p>
  &bull; Develop scalable APIs, microservices, and model-serving architectures using cloud platforms (Azure preferred).
 </p>
 <p>
  &bull; Implement:
 </p>
 <p>
  o Prompt engineering and prompt workflows
 </p>
 <p>
  o Embeddings and vector search
 </p>
 <p>
  o Guardrails and safety mechanisms for responsible AI
 </p>
 <p>
  &bull; Deploy production AI systems using:
 </p>
 <p>
  o Docker, Kubernetes o CI/CD pipelines
 </p>
 <p>
  o Monitoring and observability frameworks
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Integrate AI solutions with enterprise systems, data sources, and external APIs.
 </p>
 <p>
  &bull; Ensure reliability, performance, compliance, and alignment with Responsible AI standards.
 </p>
 <p>
  Must-Have Skills (GenAI / Agentic AI)
 </p>
 <p>
  &bull; Hands-on experience in Generative AI development using models such as:
 </p>
 <p>
  o GPT, Claude, Llama, Mistral, etc.
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Strong experience in Agentic AI, including:
 </p>
 <p>
  o Multi-step AI agents o Tool-calling workflows
 </p>
 <p>
  o Autonomous task pipelines
 </p>
 <p>
  &bull; Expertise in RAG architectures and vector databases such as:
 </p>
 <p>
  o Pinecone, FAISS, Chroma, Azure Cognitive Search
 </p>
 <p>
  &bull; Proficiency in Python or JavaScript/TypeScript.
 </p>
 <p>
  &bull; Experience with frameworks like: o Azure OpenAI, LangChain, LlamaIndex, or similar
 </p>
 <p>
  &bull; Strong production engineering skills:
 </p>
 <p>
  o Docker, Kubernetes
 </p>
 <p>
  o CI/CD pipelines o API development and deployment best practices Nice to Have
 </p>
 <p>
  &bull; Model fine-tuning, quantization, or optimization experience.
 </p>
 <p>
  &bull; Familiarity with LLM evaluation frameworks such as:
 </p>
 <p>
  o Ragas, TruLens, DeepEval
 </p>
 <p>
  &bull; Exposure to event-driven or real-time AI systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Job Location Chennai/Bangalore (Hybrid Model)
 </p>
</div>


Ciklum

<p></p><div><div><div><div><div><div><div><div><div><div><div><b>Ciklum</b> is looking for a <b>Expert Agentic AI Engineer</b> to join our team full-time in the UK .<br>
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.</div><p><b>
About the role:</b></p><p>
As a Expert Agentic AI Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.</p><p><b>
Responsibilities:</b></p><ul><li>
Design, build, train, and deploy production-grade Machine Learning, Deep Learning, or Natural Language Processing (NLP) models</li><li>
Optimize ML models for enterprise-scale latency, throughput, and performance, ensuring flawless integration with data warehouses and automated workflow bots</li><li>
Partner with Data Engineers to engineer high-quality data pipelines, automated feature stores, and secure data preprocessing routines</li><li>
Establish and scale MLOps workflows to handle model lineage tracking, code versioning, automated validation gates, and continuous deployment pipelines</li><li>
Set the core technical direction for AI engineering across squads, evaluate emerging AI methodologies, and provide high-level mentorship to senior team members</li></ul><p><b>
Requirements:</b></p><ul><li>
5+ years (Senior) or 8+ years (Expert) of professional experience developing, shipping, and maintaining machine learning models in live production environments</li><li>
Agentic Frameworks: Hands-on experience building autonomous workflows, custom plugins, and orchestration logic using Microsoft Copilot Studio or semantic kernels</li><li>
Cloud AI Infrastructure: Proven experience deploying and fine-tuning generative AI models, prompt flow, and vector databases within Azure AI Foundry (formerly Azure AI Studio)</li><li>
Tool Integration: Strong background in connecting LLMs to external APIs, enterprise data sources, and robotic process automation (RPA) tools to enable autonomous action execution</li><li>
Elite proficiency in Python paired with extensive experience using core ML libraries and frameworks (such as PyTorch, TensorFlow, Scikit-Learn, or Hugging Face)</li><li>
Hands-on experience working with MLOps tracking tools and cloud-based AI infrastructure ecosystems (such as MLflow, Kubeflow, AWS SageMaker, or Azure ML)</li><li>
Strong computer science fundamentals, including advanced knowledge of data structures, algorithmic complexity, and clean code principles. a formal degree in Computer Science, Data Science, Mathematics, or a highly quantitative field is strongly preferred</li></ul><p><b>
What`s in it for you?</b></p><ul><li>
Strong community: Work alongside top professionals in a friendly, open-door environment</li><li>
Growth focus: Take on large-scale projects with a global impact and expand your expertise</li><li>
Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications</li><li>
Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies</li><li>
Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company&rsquo;s Benefit Plans</li></ul><p><b>
About us:</b></p><p>
At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you&rsquo;ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the UK, Ciklum is growing fast&mdash;inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.</p><p><b>
Explore, empower, engineer with Ciklum!</b></p><p>
Interested already? We would love to get to know you! Submit your application. We can&rsquo;t wait to see you at Ciklum.</p><p>
#LI-VH1</p></div>
</div></div></div></div></div></div><div></div><div><div><div><div><div><div><p>REQUIRED SKILLS</p>
<div><ul><p>Agentic AI</p>
</ul></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div>
</div></div></div></div></div></div></div><div><div><div><div><div><div><p>JOB INFO</p>
<div><div><div><ul><div><div>Job Identification</div>
<div>3619</div>
</div><div><div>Job Category</div>
<div>Intelligent Automation</div>
</div><div><div>Posting Date</div>
<div>07/03/2026, 02:34 AM</div>
</div><div><div>Locations</div>
<div> <div></div><div><div>London
</div></div>(Hybrid)</div></div></ul></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

Expert Agentic AI Engineer

<div><p>We&rsquo;re on a mission to change the future of
<br>
clinical research. At Perceptive, we help the
<br>
biopharmaceutical industry bring medical
<br>
treatments to the market, faster.
<br>
Our mission is to change the world
<br>
but to do this, we need people like you.
</p><h2 class="jobSectionHeader"><b>What can we offer you?
</b></h2><p>Apart from job satisfaction, we can offer you:<br>
</p><div><br>
<b>YOURSELF
</b><br>
<ul><li>25 days&rsquo; holiday (with the option to buy more)<br>
</li></ul></div><div><br>
<b>HEALTH
</b><br>
<ul><li>Health Cash Plan
</li><li>Optional private health, dental insurance, and health screens
</li><li>Cycle to work scheme<br>
</li></ul></div><div><br>
<b>WEALTH
</b><br>
<ul><li>Generous pension scheme with up to 10% employer contribution
</li><li>Life assurance
</li><li>Season ticket loan
</li></ul></div><p></p><p><b>About the role
</b></p><p>As Senior Agentic AI Engineer, you will own the design, implementation, and operationalization of complex agentic AI systems that drive automation, scalability, and data quality across medical imaging clinical trials. This role leads the delivery of multi‑step, production‑grade agentic workflows supporting imaging intake, quality control, protocol compliance, data validation, and structured decision support. The Senior Agentic AI Engineer also plays a key role in advancing the company&rsquo;s AI‑driven Product Development Life Cycle (PDLC)&mdash;from discovery and design automation to delivery, deployment, and production operations.
<br>
In addition 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 quality, safety, and regulatory expectations.<br>
<br>
</p><p><b>Key Responsibilities
</b></p><p><b>Cross functional collaborations
</b></p><ul><li><p>Lead discovery and design discussions with Product, Imaging Operations, Clinical Ops, QA, Security, and Regulatory teams.
</p></li><li><p>Translate complex clinical and PDLC workflows into robust, agent‑compatible system designs with clearly defined boundaries, validation rules, and human oversight.
</p></li><li><p>Drive alignment between business objectives, product strategy, and technical implementation.
</p></li><li><p>Act as a technical point of contact for stakeholders on agentic AI capabilities and limitations.
</p></li></ul><p></p><p><b>Technical leadership &amp; Mentorship
</b></p><ul><li><p>Lead technical design reviews for agentic AI features and platform components.
</p></li><li><p>Mentor and coach mid‑level engineers on agent design, evaluation strategies, failure analysis, and production readiness.
</p></li><li><p>Define team‑level best practices for prompt engineering, retrieval grounding, evaluation metrics, and observability.
</p></li><li><p>Contribute to internal documentation, reference implementations, and shared libraries.
</p></li></ul><p></p><p><b>Algorithm and Software Development
</b></p><ul><li><p>Design and build end‑to‑end agentic workflows involving planning, tool use, retrieval, and structured outputs.
</p></li><li><p>Implement advanced RAG patterns grounded in controlled knowledge sources (protocols, SOPs, specifications, audit artifacts).
</p></li><li><p>Develop evaluation frameworks to measure task success, grounding quality, hallucination risk, and regression across agent versions.
</p></li><li><p>Build scalable backend services, APIs, and orchestration layers supporting agent execution in production.
</p></li></ul><p></p><p><b>Deployment and integration (MLOps)
</b></p><ul><li><p>Own production deployments of agentic systems, including CI/CD pipelines, environment promotion, and rollback strategies.
</p></li><li><p>Define observability standards: tracing agent reasoning, tool calls, retrieval events, errors, and cost telemetry.
</p></li><li><p>Ensure systems meet security, privacy, and compliance requirements (access controls, audit logs, data protection).
</p></li><li><p>Partner with platform and DevOps teams to improve reliability and scalability of AI services.
</p></li></ul><p></p><p><b>Innovation &amp; Research application
</b></p><ul><li><p>Evaluate emerging agentic AI techniques and assess their applicability to regulated clinical workflows.
</p></li><li><p>Lead proof‑of‑concepts and transition validated approaches into hardened, production‑ready solutions.
</p></li><li><p>Establish guidelines for selecting models, architectures, and evaluation methods.
</p></li><li><p>Contribute to longer‑term AI roadmap planning and technical strategy.
</p></li></ul><p></p><p><b>Other
</b></p><ul><li><p>Carry out any other reasonable duties as requested
</p></li></ul><p></p><p><b>Functional Competencies (Technical knowledge/Skills)
</b></p><ul><li><p>Advanced software engineering skills with a strong track record of delivering production-grade systems in complex environments.
</p></li><li><p>Hands-on expertise designing and implementing agentic AI systems, including:
</p></li><li><p>multi-step task decomposition and orchestration
</p></li><li><p>tool and API integration
</p></li><li><p>structured outputs and validation mechanisms
</p></li><li><p>Strong mastery of LLM-based system design, including prompt/version management, grounding strategies, and error handling.
</p></li><li><p>Proven ability to design and implement evaluation frameworks for agentic systems (task success, grounding, hallucination detection, regression testing).
</p></li><li><p>Strong exposure to MLOps / DevOps practices, including CI/CD, monitoring, observability, cost management, and safe deployment strategies.
</p></li><li><p>Familiarity with clinical trials or life sciences environments, including structured processes and data quality expectations, preferred.
</p></li><li><p>Awareness of data privacy and security principles applied to sensitive or regulated data (e.g., healthcare, personal data), preferred.
</p></li><li><p>Previous contribution to internal platforms or shared engineering frameworks is a plus.
</p></li><li><p>Strong ability to lead technical initiatives and drive alignment across engineering, product, operations, and quality stakeholders.
</p></li><li><p>Clear and effective communicator, capable of explaining complex agentic AI systems, risks, and trade-offs to both technical and non-technical audiences.
</p></li><li><p>Mentorship mindset: actively supports and coaches other engineers through design reviews, pairing, and feedback.
</p></li><li><p>High level of ownership and accountability; comfortable taking responsibility for design decisions and production outcomes.
</p></li><li><p>Pragmatic problem-solver with sound engineering judgment, particularly in ambiguous or high-risk scenarios.
</p></li><li><p>Bias toward delivery while maintaining a strong focus on quality, reliability, and safety.
</p></li></ul><p></p><p><b>Experience, Education, and Certifications
</b></p><ul><li><p>Solid professional software engineering experience.
</p></li><li><p>Experience working in cross-functional environments with product and operational teams.
</p></li><li><p>Deep practical experience with retrieval-augmented generation (RAG) patterns, including chunking strategies, embedding management, retrieval quality evaluation, and traceability.
</p></li><li><p>Experience building scalable backend services, APIs, and pipelines supporting AI-driven workflows.
</p></li><li><p>Experience working with or strong understanding of medical imaging workflows (e.g., DICOM metadata, modality concepts, imaging QC processes), preferred.
</p></li><li><p>Experience developing software in regulated or quality-sensitive environments, with attention to validation, auditability, and traceability, preferred.
</p></li><li><p>Demonstrated ownership of complex systems from design through production.
</p></li><li><p>Proven ability to lead technical initiatives and mentor engineers.
</p></li><li><p>Strong experience operationalizing AI systems at scale.
</p></li></ul><ul><li><p>Master&rsquo;s degree in Computer Science, Engineering, Data Science, or related field or equivalent practical experience.
</p></li><li><p>Master&rsquo;s degree or relevant AI/ML specialization is a plus.
</p></li><li><p>English: Fluent
</p></li></ul><p></p><p><b>Come as you are.
</b><br>
We're proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, colour, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.</p></div>

Senior Agentic AI Engineer

<p></p><div><div><div><div><div><div><div><div><div><div><div><b>Ciklum</b> is looking for a <b>Expert Agentic AI Engineer</b> to join our team full-time in the UK .</div><p>
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live</p><p><b>
About the role:</b></p><p>
As a Expert Agentic AI Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.</p><p><b>
Responsibilities:</b></p><ul><li>
Design, build, train, and deploy production-grade Machine Learning, Deep Learning, or Natural Language Processing (NLP) models</li><li>
Optimize ML models for enterprise-scale latency, throughput, and performance, ensuring flawless integration with data warehouses and automated workflow bots</li><li>
Partner with Data Engineers to engineer high-quality data pipelines, automated feature stores, and secure data preprocessing routines</li><li>
Establish and scale MLOps workflows to handle model lineage tracking, code versioning, automated validation gates, and continuous deployment pipelines</li><li>
[Expert Level Focus] Set the core technical direction for AI engineering across squads, evaluate emerging AI methodologies, and provide high-level mentorship to senior team members</li></ul><p><b>
Requirements:</b></p><ul><li>
5+ years (Senior) or 8+ years (Expert) of professional experience developing, shipping, and maintaining machine learning models in live production environments</li><li>
Agentic Frameworks: Hands-on experience building autonomous workflows, custom plugins, and orchestration logic using Microsoft Copilot Studio or semantic kernels</li><li>
Cloud AI Infrastructure: Proven experience deploying and fine-tuning generative AI models, prompt flow, and vector databases within Azure AI Foundry (formerly Azure AI Studio)</li><li>
Tool Integration: Strong background in connecting LLMs to external APIs, enterprise data sources, and robotic process automation (RPA) tools to enable autonomous action execution</li><li>
Elite proficiency in Python paired with extensive experience using core ML libraries and frameworks (such as PyTorch, TensorFlow, Scikit-Learn, or Hugging Face)</li><li>
Hands-on experience working with MLOps tracking tools and cloud-based AI infrastructure ecosystems (such as MLflow, Kubeflow, AWS SageMaker, or Azure ML)</li><li>
Strong computer science fundamentals, including advanced knowledge of data structures, algorithmic complexity, and clean code principles.</li><li>
a formal degree in Computer Science, Data Science, Mathematics, or a highly quantitative field is strongly preferred.</li></ul><p><b>
What`s in it for you?</b></p><ul><li>
Strong community: Work alongside top professionals in a friendly, open-door environment</li><li>
Growth focus: Take on large-scale projects with a global impact and expand your expertise</li><li>
Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications</li><li>
Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies</li><li>
Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company&rsquo;s Benefit Plans</li></ul><p><b>
About us:</b></p><p>
At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you&rsquo;ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the UK, Ciklum is growing fast&mdash;inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.</p><p><b>
Explore, empower, engineer with Ciklum!</b></p><p>
Interested already? We would love to get to know you! Submit your application. We can&rsquo;t wait to see you at Ciklum.</p><p>
#LI-AV3</p></div>
</div></div></div></div></div></div><div></div><div><div><div><div><div><div><p>REQUIRED SKILLS</p>
<div><ul><p>Agentic AI</p>
</ul></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div>
</div></div></div></div></div></div></div><div><div><div><div><div><div><p>JOB INFO</p>
<div><div><div><ul><div><div>Job Identification</div>
<div>3618</div>
</div><div><div>Job Category</div>
<div>Data Science and Machine Learning</div>
</div><div><div>Posting Date</div>
<div>07/02/2026, 02:40 AM</div>
</div><div><div>Locations</div>
<div> <div></div><div><div>GB-Remote
</div></div>(Remote)</div></div></ul></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

Roku

<div>
 Teamwork makes the stream work.
 <p>
  &nbsp;
 </p>
 <strong>
  Roku is changing how the world watches TV
 </strong>
 <p>
  Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
 </p>
 <p>
  From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  &nbsp;
 </p>
 <strong>
  About the Team
 </strong>
 <p>
  <br/>
  At Roku, the Device Monetization and Themed Experiences (DMTE) team, a part of the Advertising organization, is where the magic behind the scenes happens. We're the engineers who build the high-performance graphics and UI foundations that power the FRAME engine &mdash; the core technology enabling Roku's smooth, responsive, and visually rich experiences on millions of devices worldwide. Our work lives in the middleware and UI layers, and its impact is felt every time a user navigates a menu, enjoys an animated ad, or is wowed by the bespoke experience built to market the latest TV show or Movies. We thrive on solving the toughest technical challenges &mdash; from optimizing UI rendering to fine-tuning memory usage &mdash; using BrightScript (a JavaScript-like language) to deliver rock-solid, high-performance solutions. We work in a collaborative, high-trust environment where great ideas can come from anywhere, partnering closely with firmware, UI, and product teams to ensure our platform is lightning fast, reliable, and ready for the next generation of streaming innovation. If you love building the invisible foundations that make great user experiences possible, this is the team for you.
  <br/>
 </p>
 <strong>
  About the Role
  <br/>
 </strong>
 As a Senior Agentic AI Engineer in the DMTE team, you'll be the driving force behind embedding intelligent, autonomous AI capabilities into Roku's platform &mdash; reimagining how our systems create, optimize, and deliver experiences to tens of millions of devices. Rather than building UI features directly, you'll design and deploy agentic AI systems that reason, plan, and act across our development and delivery pipelines &mdash; from automating the generation of themed experiences to enabling self-optimizing rendering workflows within the FRAME engine. You'll leverage your years of experience in software engineering and building world class UI to build AI agents that understand the constraints of embedded, performance-critical systems and operate effectively within them. This is a role for engineers who think in terms of autonomous systems, multi-step reasoning, and tool-use architectures &mdash; and who want to fundamentally reshape how a streaming platform is built, maintained, and evolved.
 <br/>
 <strong>
  What You'll Be Doing
 </strong>
 <ul>
  <li>
   We don't train models, we don't 'fine-tune' LLMs; We build automated agentic processes
  </li>
  <li>
   Design, build, and deploy agentic AI systems that autonomously generate, test, and optimize BrightScript/TypeScript code and UI experiences for the FRAME engine
  </li>
  <li>
   Architect multi-agent workflows (planning, tool-use, retrieval, execution, validation) that accelerate development and reduce manual engineering effort across the team
  </li>
  <li>
   Develop AI-powered automation that understands the constraints of embedded C++ environments and produces performance-safe, memory-efficient outputs
  </li>
  <li>
   Build and maintain evaluation frameworks to measure agent reliability, accuracy, and performance in production-critical contexts
  </li>
  <li>
   Collaborate with cross-functional teams (firmware, UI, product) to identify high-impact opportunities for AI-driven automation and intelligent tooling
  </li>
  <li>
   Stay at the forefront of agentic AI research &mdash; including LLM orchestration, RAG, function calling, and autonomous code generation &mdash; and bring those advances into our platform
  </li>
  <li>
   Mentor engineers across the team on AI-first development practices and help establish best practices for human-agent collaboration
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  &nbsp;
 </p>
 <strong>
  We're Excited if you Have
 </strong>
 &nbsp;
 <ul>
  <li>
   Proven experience building agentic AI systems that generate, optimize, and deliver scalable applications in production environments
  </li>
  <li>
   Strong software engineering foundation with a track record of shipping reliable, performant systems at scale
  </li>
  <li>
   Deep familiarity with modern LLM orchestration tools, prompt engineering techniques, and AI/ML frameworks
  </li>
  <li>
   Experience with retrieval-augmented generation (RAG), function/tool calling, and evaluation-driven development for AI agents
  </li>
  <li>
   A builder's mentality &mdash; you don't just use AI tools, you create autonomous systems that multiply the impact of entire teams
  </li>
  <li>
   Proficiency in TypeScript (or similar languages) and Python for agent development, scripting, and pipeline automation
  </li>
  <li>
   A software engineer's instinct for reliability, testability, and clean architecture &mdash; applied to the unique challenges of non-deterministic AI systems
  </li>
  <li>
   Excellent technical communication, root cause analysis abilities, and a proactive mindset with passion for fast iteration
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  &nbsp;
 </p>
 <strong>
  Our Hybrid Work Approach
 </strong>
 <p>
  Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
 </p>
 <p>
  &nbsp;
 </p>
 <strong>
  Benefits
 </strong>
 <p>
  Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
 </p>
 <p>
  &nbsp;
 </p>
 <strong>
  Accommodations
 </strong>
 <p>
  Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
 </p>
 <p>
  &nbsp;
 </p>
 <strong>
  The Roku Culture
 </strong>
 <p>
  Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
 </p>
 <p>
  We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
 </p>
 <p>
  To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
 </p>
 <p>
  By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
 </p>
</div>


Healx

<div>
 Do you want to use your engineering skills to build agentic workflows that help find treatments for rare disease patients?
 <br/>
 <br/>
 <strong>
  About Healx
  <br/>
 </strong>
 Healx is an AI-powered tech bio company that is redesigning drug discovery. With 10,000 rare diseases affecting 400 million people globally, 90% of which have no approved treatment, Healx is on a mission to pioneer the next generation of drug discovery to help rare disease patients in need. We combine data, artificial intelligence and deep pharmacology expertise to develop treatments more quickly and cheaply than traditional drug discovery.
 <br/>
 <br/>
 Diversity and inclusion sits at the heart of our mission to help people with rare diseases, and we believe that attracting and empowering a diverse team is critical to achieving this goal. We welcome applications from people from all backgrounds and walks of life.
 <br/>
 <br/>
 Below we have included the qualities that we feel are required for you to excel in this role; however we appreciate that people can apply transferable skills and experience. If you think you have what it takes, love our mission and resonate with our values but are worried you don't tick every box - we still want to hear from you and encourage you to apply!
 <br/>
 <br/>
 Our values
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Care for Rare - Rare disease patients are at the heart of what we do
  </li>
  <li>
   Grow as individuals - We are learners always seeking to enhance our expertise
  </li>
  <li>
   Win as a team - We strive to remain inclusive and diverse and we celebrate successes and lessons together
  </li>
  <li>
   Innovate and deliver - Our mission requires rapid innovation and calculated risks that won&rsquo;t compromise our high standards
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 The role
 <br/>
 <br/>
 Healx is looking for an Agentic AI Engineer to build LLM-agentic workflows that power our drug discovery platform.
 <br/>
 <br/>
 Reporting to our Director of Tech Strategy, you'll design and build agents that solve real drug discovery problems. Working closely with scientists across the company, you'll understand the questions that matter most to their work, then design and refine agents that reason over our knowledge graph, proprietary methods, the scientific literature and other sources to generate, triage and rationalise testable therapeutic hypotheses for rare diseases.
 <br/>
 <br/>
 You won't be starting from scratch. We've adopted an agentic framework (our stack currently includes Python, ADK and AgentSpace) and built workflows already delivering impact across our drug discovery platform. But this is a fast-moving field, so a big part of the role is helping us adapt as the landscape shifts. You'll work alongside the technical lead who owns our agentic infrastructure, with scope to take ownership of specific workflows and grow your influence as you do.
 <br/>
 <br/>
 You'll join a cross-functional team of machine learning engineers, software engineers, bioinformaticians, drug discovery scientists and clinicians, all working to sharpen how Healx makes better decisions in drug discovery.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and refine AI-agentic workflows on our internal framework to help drug discovery scientists generate the best testable therapeutic hypotheses to progress.
  </li>
  <li>
   Translate discovery problems into agent designs, working out where an agentic approach genuinely adds value, and where it doesn&rsquo;t
  </li>
  <li>
   Integrate agents with our knowledge graph, proprietary methods, scientific literature and other sources so they reason over the right evidence for each problem
  </li>
  <li>
   Expand and maintain our existing genAI tools so they keep pace with the team&rsquo;s needs and a fast-moving ecosystem
  </li>
  <li>
   Contribute to how we evaluate agentic workflows, helping shape sensible evals, testing and quality standards as the practice matures
  </li>
  <li>
   Write clear, maintainable, well-documented code that others on the team can build on
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Success Looks Like
  <br/>
 </strong>
 In 3 months, you have:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Got to grips with our agentic framework and the discovery problems it serves, and made your first contributions land in the codebase
  </li>
  <li>
   Built working relationships with the scientists and engineers you partner with, and started turning their feedback into concrete improvements
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 In 6 months you have:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Taken at least one agentic workflow from idea to a production tool scientists use in our drug discovery pipeline - built on our framework, with sensible evaluation and documentation
  </li>
  <li>
   Operating with real independence - owning agentic workflows ent to end, proposing improvements
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Are Looking For
  <br/>
 </strong>
 We'd love to hear from you if your experience and interests overlap with much of this profile (and we don't expect every box ticked - if you've built things you're proud of and you're excited about what Healx does, get in touch):
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   You've built and shipped LLM-agentic systems that deliver real value &mdash; agents that use tools, orchestrate multi-step workflows and behave reliably in production. We care more about what you've built than how long you've been at it.
  </li>
  <li>
   Strong software engineering fundamentals &mdash; you write clear, tested, maintainable code that others can build on
  </li>
  <li>
   Fluency with the modern LLM/agent toolkit &mdash; model APIs, prompting, tool use, RAG, and the patterns this fast-moving ecosystem is converging on (MCP, agent frameworks, evals).
  </li>
  <li>
   A pragmatic sense of where an agentic approach genuinely helps and where it doesn't, and you enjoy working closely with non-engineers &mdash; the kind of person who'll sit with a scientist to understand what they actually need.
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 It&rsquo;s a bonus if you have:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Experience in drug discovery, biology, or another life scientific domain &mdash; or simply a real appetite to learn one
  </li>
  <li>
   Familiarity with knowledge graphs or reasoning over structured or heterogeneous data
  </li>
  <li>
   Experience building evaluation harnesses or testing strategies for LLM systems
  </li>
  <li>
   A track record of picking up unfamiliar domains quickly and becoming useful fast
  </li>
  <li>
   Interest in or experience with biotech / techbio and its impact on patient outcomes
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Working at Healx
 <br/>
 <br/>
 Healx works from a modern accessible office in the centre of Cambridge within easy reach of the train station. We offer a flexible, diverse and inclusive working environment that considers your individual needs and believes in maintaining a sustainable work-life balance and we are open to discussing flexible working arrangements.
 <br/>
 <br/>
 We are a hybrid team operating on a highly collaborative model that values synchronization and pair programming.
 <br/>
 <br/>
 You will be welcomed by a team of colleagues with decades of accumulated experience in their areas of expertise, happy to help you develop your own skills in a highly collaborative environment and who are keen to provide guidance and support in your personal and career development plans.
 <br/>
 <br/>
 Healx will provide you with support and guidance to help you do your best work and make an impact. We offer flexible working and believe in maintaining a sustainable work-life balance. If you require any reasonable adjustments during the recruitment process, please let us know &mdash; we&rsquo;re happy to accommodate.
 <br/>
 <br/>
 What&rsquo;s on offer:
 <br/>
 <br/>
 <strong>
  Financial
 </strong>
 - Competitive salary, share options, 7% employer pension contributions, life insurance of 4x base salary.
 <br/>
 <br/>
 <strong>
  Health and Wellbeing
 </strong>
 - Private medical insurance, 25 days annual leave (plus bank holidays) with the option to purchase additional days to support a healthy work-life balance, wellbeing support via Spill and our Employee Assistance Programme.
 <br/>
 <br/>
 <strong>
  Hybrid Working
 </strong>
 - We will only consider UK-based applicants for this position. We offer flexible and remote working options, home office set-up allowance, periodic in-person team days for company-wide collaboration and celebration.
 <br/>
 <br/>
 <strong>
  Family Friendly
 </strong>
 - Enhanced family leave policies, miscarriage and fertility leave, flexible working practices.
 <br/>
 <br/>
 <strong>
  Personal Development and Growth
 </strong>
 - Personal learning and development budgets, regular personal development conversations and career support.
 <br/>
 <br/>
 <strong>
  Community Engagement and Support
 </strong>
 - One paid day off per year to volunteer for a cause aligned with our mission of supporting patients living with rare diseases; the opportunity to hear from and engage with patient groups and communities who offer us valuable insights into the experiences of those affected by rare diseases.
 <br/>
 <br/>
 For more information about Healx and how we use your data please go to https://healx.ai/privacy/
 <br/>
 <br/>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


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