senior ai engineer

JD Sports Fashion

<div>
 
 
 About the Company
 
 
 
 
 
 
 
 
 
 Established in 1981 with a single store in the Northwest of England, the JD Group is a leading omni-channel retailer of Sports Fashion, Outdoors and Gyms with our colleagues working in stores across several retail fascias in many markets around the world. JD Sports Fashion Plc was listed on the London Stock Exchange in 1996 and has been a FTSE100 publicly quoted company since 2019 and continues to grow in the UK and internationally. We want to be the leading global omnichannel retailer in the sports and outdoor industry. To be a part of this successful company and help us to achieve this you will have the desire to ingrain our strategic goals of being a people-led, innovative and customer-focused organisation which provides operational excellence whilst identifying new areas of growth as part of our day to day objectives.
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 
 This role is based out of our Bury office with the expectation that the successful candidate will be in the office 4 days a week
 
 
 
 
 
 
 
 The Senior AI Engineer is a senior individual contributor responsible for architecting, building and scaling production grade AI platforms and generative AI systems across JD Group. Reporting into the Head of Data Science &amp; AI, the role focuses on the engineering, operationalisation and governance of large scale AI solutions, including LLM based applications, agentic workflows and retrieval augmented generation systems. Working closely with Senior Data Scientists, Data Engineering, Platform and Product teams, the Senior AI Engineer ensures AI solutions are reliable, secure, cost effective and embedded into core business processes. This role carries significant technical leadership, mentorship and influence across the wider Data &amp; AI community.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 AI Platform &amp; Solution Engineering
 </li>
 <li>
 Architect, develop and deploy enterprise-scale AI and GenAI solutions including LLM applications, agentic workflows and tool using agents
 </li>
 <li>
 Design, implement and optimise production grade RAG architectures with strong performance, scalability and latency characteristics
 </li>
 <li>
 Build AI services, microservices, inference pipelines and platform components using modern engineering frameworks and patterns
 </li>
 <li>
 Own technical decisions across AI system design, orchestration, routing, caching and runtime optimisation
 </li>
 <li>
 </li>
 <li>
 Production Readiness, LLMOps &amp; MLOps
 </li>
 <li>
 Define and implement standards for LLMOps, MLOps, monitoring, observability, safety and compliance
 </li>
 <li>
 Ensure AI systems are robust, monitored, explainable and suitable for long term production use
 </li>
 <li>
 Partner closely with Platform, DevOps and Security teams to deliver cloud native, secure and scalable solutions on GCP
 </li>
 <li>
 Drive cost efficient AI deployment strategies including prompt optimisation, model selection, caching, distillation and compute optimisation
 </li>
 <li>
 </li>
 <li>
 Governance, Risk &amp; Responsible AI
 </li>
 <li>
 Embed responsible AI principles into system design, including safety, security, bias mitigation and data protection
 </li>
 <li>
 Support governance frameworks for model usage, evaluation, auditability and risk management
 </li>
 <li>
 Develop automated evaluation, testing and quality assurance frameworks for LLM based systems
 </li>
 <li>
 </li>
 <li>
 Stakeholder Partnership &amp; Influence
 </li>
 <li>
 Work closely with Senior Data Scientists to productionise AI driven analytical and decisioning solutions
 </li>
 <li>
 Partner with Product, Engineering and Architecture leaders to shape AI solution design and delivery
 </li>
 <li>
 Contribute to strategic decisions on AI infrastructure, architecture and long term platform roadmap
 </li>
 <li>
 Evaluate and onboard AI vendors and third party platforms, prioritising buy first solutions where appropriate
 </li>
 <li>
 </li>
 <li>
 Capability Building &amp; Mentorship
 </li>
 <li>
 Provide technical mentorship and guidance to AI Engineers and adjacent engineering teams
 </li>
 <li>
 Contribute to shared platforms, reusable components, reference architectures and best practices
 </li>
 <li>
 Stay current with advances in generative AI, agentic systems and AI infrastructure, identifying pragmatic opportunities to apply new capabilities
 </li>
 </ul>
 <li>
 </li>
 
 
 
 
 
 
 
 Role Objectives &amp; KPIs
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Deliver production grade AI platforms and systems that generate measurable business value
 </li>
 <li>
 Ensure AI solutions are scalable, reliable, secure and cost effective
 </li>
 <li>
 Reduce operational risk through strong governance, automation and engineering standards
 </li>
 <li>
 Successful end to end delivery of complex AI initiatives to agreed quality and timelines
 </li>
 <li>
 Strengthen trust in AI as a decision making and operational capability
 </li>
 <li>
 Strong stakeholder satisfaction and trust in AI delivery
 </li>
 <li>
 Act as a senior technical role model within the Data Science &amp; AI function
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Significant experience in AI Engineering, ML Engineering or Software Engineering with proven production delivery
 </li>
 <li>
 Deep expertise in LLMs, generative AI, agentic systems, RAG architectures and vector databases
 </li>
 <li>
 Strong experience building distributed systems, microservices and scalable API driven platforms
 </li>
 <li>
 Advanced experience with GCP AI stack (Vertex AI, BigQuery, Cloud Run, Cloud Functions, Cloud SQL, Agent Engine, AlloyDB etc.)
 </li>
 <li>
 Strong Python skills and experience building production-grade AI services
 </li>
 <li>
 Experience implementing LLMOps, MLOps, CI/CD and infrastructure automation
 </li>
 <li>
 Expertise in developing applications with React, NextJS.
 </li>
 <li>
 Strong understanding of responsible AI, security, governance and data compliance
 </li>
 <li>
 Ability to influence technical direction and communicate effectively with senior stakeholders
 </li>
 <li>
 Experience in large-scale, multi brand, or global enterprises; retail experience is advantageous
 </li>
 <li>
 Delivery focused, pragmatic, and accountable
 </li>
 <li>
 Line management/mentoring experience will be preferable
 </li>
 </ul>
 
 
 
 
 
 
 
 Pay range and compensation package
 
 
 
 
 
 
 
 
 
 We know our colleagues work tirelessly to make JD Sports the success it is today and in turn, we offer them some amazing benefits including staff Discount On JD Group and other brands within the organisation and personal development opportunities to learn and develop at work.
 
 
 
</div>

Senior AI Engineer

Venture Up

<div>
 
 
 Senior AI Engineer - Agentic Experience
 
 
 
 
 
 
 Do you want to own problems that matter, ship fast, and build AI systems that millions of people actually use? As a Senior AI Engineer on the Agentic Experience team, you'll work directly with the Co-founder and CTO to rethink how guests and hosts interact with a platform at real scale designing multi-agent systems, handling thousands of live conversations, and pushing the frontier of what's possible with LLMs in production.
 
 
 
 
 
 
 What You'll Do:
 
 
 
 🤖 Own Entire Problem Spaces: You won't be handed tickets. You'll be handed challenges &mdash; and trusted to figure out what to build, and why.
 
 
 ⚡ Ship at Agentic Speed: Use tools like Claude Code to compound your throughput and take problems from idea to production, often in days.
 
 
 🧱 Build Multi-Agent Systems: Design agents with tool calling, handoffs, and production evals that handle thousands of real conversations across WhatsApp, email, in-product chat, and beyond.
 
 
 🔍 Work at the Frontier: Push the boundaries of what's possible with LLMs in production &mdash; no playbooks, no standard processes, just first-principles thinking.
 
 
 🗣 Influence the Roadmap: Push back on what doesn't make sense. Propose what does. You'll decide what's worth building, not just how to build it.
 
 
 🔗 Stitch Systems Together: Work across Kotlin/Java, AWS, Kubernetes, PostgreSQL, DynamoDB, Redis, and the Model Context Protocol &mdash; introducing the right tool for tomorrow without hesitation.
 
 
 
 
 
 
 The Team:
 
 
 
 You'll join a small, fast-moving group inside a 200-person Engineering organisation, working on the most strategic parts of the platform's future. The team runs on ownership, ambiguity, and a genuine bias for impact over activity &mdash; with direct access to senior leadership and a mandate to move fast. If you've ever wanted to build things that matter without the overhead slowing you down, this is that team.
 
 
 
 
 
 
 What they're Looking For:
 
 
 <ul>
 <li>
 5+ years of backend development experience, including ownership of systems end-to-end
 </li>
 <li>
 Deep fluency with AI coding tools and a clear sense of where they help and where they don't
 </li>
 <li>
 A track record of shipping and running production systems
 </li>
 <li>
 Strong fundamentals in systems design, reliability, and production operations
 </li>
 <li>
 A product mindset &mdash; asking "what problem are we solving?" before "what should I build?"
 </li>
 <li>
 Comfort with ambiguity; energised by ownership rather than direction
 </li>
 <li>
 Clear communicator in code, documents, and conversation
 </li>
 <li>
 The language matters less than the thinking (they mostly use Kotlin)
 </li>
 </ul>
 
 
 
 
 
 What They Offer:
 
 
 
 Competitive senior-level package and:
 
 
 💼 Hybrid working with 50% in-office collaboration time
 
 
 🌎 Up to 8 weeks per year working from other locations internationally
 
 
 📈 Meaningful equity in a profitable, fast-growing business
 
 
 🎓 Personal learning budget with a strong AI focus
 
 
 💪 Gym discounts and travel perks
 
 
 🏡 Significant discounts across the platform's own holiday rental inventory
 
</div>

BigBear.ai

<div>Overview:

AskSage (BigBear.ai company) is seeking a Senior AI Engineer. This critical role involves designing, developing, and maintaining Generative AI Agents, MCP Servers, multi-agent orchestration workflows, and AI-powered tooling using Python and the Ask Sage platform. The ideal candidate will have strong prompt engineering skills, a deep understanding of Generative AI stacks such as OpenAI, Anthropic, MCP, Function tooling, etc., and a robust security background to ensure code is secure by default. Deep Experience with Generative AI and agent orchestration frameworks is required. Our FedRAMP High and DoD IL5, IL6 and Top Secret accredited cutting-edge technology enables teams to focus on strategic initiatives while we take care of the heavy lifting. We are seeking a highly skilled and experienced Senior AI Engineer with expertise in Python, generative AI, and Agent Orchestration.
What you will do:
<ul><li>Design, develop, and maintain Generative AI Agents, MCP Servers, and function tooling using Python and related frameworks.</li><li>
Build innovative Generative AI features to help Ask Sage customers automate tasks and processes.</li><li>
Implement best practices for code quality, security, and performance optimization.</li><li>
Write clean, efficient, and maintainable code with a focus on security, data privacy, and secure-by-default patterns.
</li><li>Continuous development of custom multi-agent framework and workflows to automate complex tasks and bring complex automation.
</li><li>Stay up-to-date with the latest trends and advancements in Python development and Generative AI.
</li><li>Collaborate with cross-functional teams to integrate Generative AI solutions into existing systems.
</li><li>Conduct code reviews and provide mentorship to junior developers.</li></ul>
What you need to have:
<ul><li>Minimum of 5 years of experience with Python Software Development.</li><li>
Ability to obtain a Security Clearance</li><li>
Strong Experience building Generative AI solutions, agentic AI systems, and multi-agent workflows.
</li><li>Strong prompt &amp; context engineering skills. &middot; Experience with Microsoft Power Automate to design, build, and manage automated workflows and business processes.
</li><li>Experience in building secure code with a strong understanding of security best practices (e.g., XSS, SQL injections).
</li><li>At least 3 to 4 years of experience with flagship Generative AI provider APIs (Google VertexAI, AWS Bedrock, Microsoft Azure OpenAI) and models (OpenAI GPT, Anthropic Claude, Google Gemini).
</li><li>At least 2 years of hands-on experience developing Generative AI Agents and Agent Orchestration Frameworks (OpenClaw, Claude Code, GPT Codex, etc).</li><li>
Strong problem-solving and analytical skills.
</li><li>Ability to work independently.</li></ul>
What we'd like you to have:
<ul><li>Experience with retrieval-augmented generation (RAG), vector databases (e.g., Weaviate, Pinecone, pgvector), and embedding pipelines.
</li><li>Experience with PostgreSQL and SQLAlchemy. &middot; Experience with Docker, Kubernetes, and CI/CD pipelines.
</li><li>Experience with local LLM deployment, model fine-tuning, and Hugging Face.
</li><li>Familiarity with LLM observability, evaluation frameworks, and cost/latency optimization.</li><li>
Knowledge of government compliance frameworks (FedRAMP, NIST AI RMF, CMMC 2.0).</li></ul>
About BigBear.ai:
<div>
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai&rsquo;s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.</div><div></div><div> 
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.</div></div><div></div>

Arcus Search

<div>
 
 This is a contract role - Remote - Upto 30,000 AED/ month
 
 
 
 
 
 
 
 
 Senior LLM / AI Engineer &ndash; Agentic AI &amp; Platform Engineering
 
 
 
 
 
 
 Role Summary
 
 
 
 We are building an AI-powered enterprise platform that uses agentic AI to transform unstructured domain data into structured, actionable intelligence. As a Senior LLM / AI Engineer, you will design and build the core AI orchestration layer: multi-agent workflows, retrieval-augmented generation pipelines, tool-calling infrastructure, and the deterministic reasoning systems that make LLM outputs reliable enough for production use.
 
 
 
 
 
 This is not a research role. You will build production application services that real users depend on. You need to be equally strong in LLM engineering (prompting, structured outputs, evaluation) and software engineering (APIs, databases, deployment). We are looking for someone who can architect an agentic system from scratch, implement it in FastAPI, evaluate it rigorously, and operate it in production.
 
 
 
 
 
 
 Key Responsib
 
 ilities
 
 
 
 
 
 Agentic AI &amp; Multi-Agent Orches
 
 tration
 
 
 
 
 <ul>
 <li>
 Design and implement multi-agent systems where specialised agents collaborate on complex tasks: planning agents, execution agents, validation agents, and human-in-the-loop review steps
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Build agentic workflows using LangGraph, LangChain, or custom state machines with clear state management, conditional routing, retry logic, and graceful failure handling
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Implement tool-calling infrastructure: define tool schemas, manage tool registries, handle tool execution with timeouts and error recovery
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Design context management strategies for long-running agent sessions: conversation memory, working memory, context window optimisation, token budget management, and multi-turn state t
 
 racking
 
 </li>
 </ul>
 
 
 
 
 
 RAG &amp; Knowledge R
 
 etrieval
 
 
 
 
 <ul>
 <li>
 Build and optimise retrieval-augmented generation (RAG) pipelines: document chunking strategies, embedding model selection, vector store management (FAISS, Qdrant, pgvector, Pinecone), and hybrid search
 </li>
 <li>
 Implement advanced RAG patterns: multi-hop reasoning, reranking, query decomposition, self-querying retrieval, and citation grounding
 </li>
 <li>
 Design and maintain knowledge indexing pipelines that ingest, transform, and index domain-specific data
 
 at scale
 
 </li>
 </ul>
 
 
 
 
 
 Deterministic Workflows &amp; Structur
 
 ed Output
 
 <ul>
 <li>
 Design deterministic workflows that guarantee consistent, reliable outputsfrom LLMs
 </li>
 <li>
 Implement comprehensive input/output validation using Pydantic models, JSON Schema constraints, and structured output parsing
 </li>
 <li>
 Build hybrid pipelines combining deterministic business logic with LLM-powered
 
 reasoning
 
 </li>
 </ul>
 
 
 
 
 
 Evaluation, Testing &amp; Op
 
 timisation
 
 <ul>
 <li>
 Build evaluation frameworks for LLM-powered features: automated test suites, regression benchmarks, and continuous production monitoring
 </li>
 <li>
 Implement token optimisation strategies: prompt compression, caching, response streaming, batching, and model selection
 </li>
 <li>
 Design A/B testing infrastructure for prompt variants, model versions, and pipeline conf
 
 igurations
 
 </li>
 </ul>
 
 
 
 
 
 Platform &amp; Application
 
 Development
 
 <ul>
 <li>
 Build production APIs using FastAPI: endpoint design, async handlers, WebSocket/SSE for streaming responses, and graceful degradation
 </li>
 <li>
 Design and implement MCP (Model Context Protocol) server setups for standardised tool integration
 </li>
 <li>
 Work with PostgreSQL, Redis, and Elasticsearch for application state, caching, and search
 </li>
 <li>
 Containerise AI services with Docker and collaborate with DevOps on Kubernetes deployment
 </li>
 </ul>
 
 and scaling
 
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 4+ years of software engineering experience, with at least 2 years focused on LLM-powered application developmentin production
 </li>
 <li>
 Strong proficiency in Python; experience with FastAPI or similar async frameworks required
 </li>
 <li>
 Deep hands-on experience with agentic AI frameworks: LangGraph, LangChain, or custom agent architectures
 </li>
 <li>
 Proven experience building RAG systems: embedding pipelines, vector databases, retrieval strategies, and multi-hop reasoning
 </li>
 <li>
 Strong understanding of LLM fundamentals: prompting, structured output, token management, and model selection trade-offs
 </li>
 <li>
 Working knowledge of PostgreSQL, Redis, and at least one vector database
 </li>
 <li>
 Experience with evaluation and testing of LLM outputs in production environments
 </li>
 <li>
 Solid understanding of REST APIs, WebSockets, and API lifecycle management
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 Experience with MCP architecture: building MCP servers and integrating external systems
 </li>
 </ul>
 
 as agent tools
 
 <ul>
 <li>
 Familiarity with parameter-efficient fine-tuning methods (LoRA, QLoRA)
 </li>
 <li>
 Experience building multi-tenant AI applications with organisation-
 </li>
 <li>
 level isolation
 </li>
 <li>
 LLM observability experience: tracing, token usage tracking, latency profiling
 </li>
 <li>
 Familiarity with Elasticsearch and hybrid search(BM25 + vector)
 </li>
 <li>
 Cloud deployment experience (AWS preferred): EKS,S3, SQS, Lambda
 </li>
 <li>
 Contributions to open-source AI/LLM projects or published work in NLP or agentic AI
 </li>
 </ul>
</div>

bluebenz digitizations

Senior AI EngineerGenAI &middot; Conversational AI &middot; Voice &amp; Chat Bots &middot; LLM Integration &middot; Solution ArchitectureABOUT THE ROLE<ul><li>We are a data and AI services firm seeking a Senior AI Engineer to lead the design and delivery of intelligent,</li><li>conversational, and agentic AI solutions for our clients. This is a hands-on, client-facing engineering role &mdash; you</li><li>will architect and build production-grade GenAI applications, voice and chat bots, and LLM-powered integrations</li><li>across a variety of industries and technology stacks.</li><li>You will be the technical authority on AI engagements &mdash; owning solution architecture, driving LLM selection and</li><li>fine-tuning decisions, and integrating AI capabilities into existing client systems. You will work closely with clients</li><li>through presales, discovery, and delivery, and will mentor junior engineers within the Data Practice.</li></ul>KEY RESPONSIBILITIESConversational AI &mdash; Chat &amp; Voice Bots▸ Design and deliver production-ready chatbots and voicebots for client-facing and internal enterprise usecases.▸ Build real-time voice AI pipelines using LiveKit &mdash; handling audio streaming, VAD (voice activity detection),STT/TTS integration, and turn management.▸ Architect multi-turn, context-aware conversational flows with robust fallback handling and session statemanagement.▸ Integrate speech-to-text (Whisper, Azure Speech, Deepgram) and text-to-speech (ElevenLabs, Azure TTS,OpenAI TTS) providers based on client requirements.▸ Ensure low-latency, high-availability voice and chat deployments suitable for customer-facing productiontraffic.LLM Integration &amp; Orchestration▸ Build LLM-powered applications using LangChain, LangGraph, and LlamaIndex &mdash; including RAGpipelines, agents, and tool-calling workflows.▸ Integrate OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, and open-source models (Llama,Mistral, Phi) based on cost, latency, and compliance needs.▸ Design and implement Retrieval-Augmented Generation (RAG) systems with vector stores (Pinecone,Weaviate, pgvector, Azure AI Search).▸ Build and manage AI agent frameworks &mdash; autonomous agents, multi-agent workflows, and human-in-the loop patterns.▸ Develop prompt engineering strategies, prompt templates, and evaluation pipelines for consistent, reliableLLM output.Fine-Tuning &amp; Model Customisation▸ Fine-tune open-source LLMs (Llama 3, Mistral, Phi-3) using techniques such as LoRA, QLoRA, and PEFTfor domain-specific use cases.▸ Manage fine-tuning pipelines end-to-end &mdash; dataset curation, preprocessing, training, evaluation, andmodel registry management.▸ Implement RLHF / DPO alignment techniques where applicable to align model outputs with clientexpectations.▸ Benchmark model performance using standardised and custom evaluation suites; iterate based on results.Solution Architecture &amp; Client Engagement▸ Own AI solution architecture for client engagements &mdash; selecting the right models, frameworks, andinfrastructure patterns for each use case.▸ Participate in presales &mdash; contribute to proposals, solution briefs, PoCs, and effort estimations for AIprojects.▸ Lead client discovery sessions, translating ambiguous business requirements into concrete, executable AIsolution designs.▸ Present architecture decisions and technical recommendations clearly to both technical and non-technicalclient stakeholders.▸ Handle multiple client engagements simultaneously, managing delivery timelines and technical qualityacross projects.Integration &amp; Production Engineering▸ Integrate AI capabilities into client systems via REST APIs, webhooks, and event-driven architectures.▸ Deploy AI services on cloud platforms (Azure, AWS, GCP) using containerised (Docker, Kubernetes) andserverless patterns.▸ Implement observability for AI systems &mdash; tracing, logging, hallucination detection, and LLM performancemonitoring (LangSmith, Arize, Helicone).▸ Ensure AI systems meet security, compliance, and data privacy standards &mdash; including PII handling, dataresidency, and responsible AI guardrails.▸ Build CI/CD pipelines for model deployment, versioning, and rollback in production environments.Mentorship &amp; Practice Development▸ Mentor junior and mid-level AI engineers, conducting code reviews and guiding best practices in LLMapplication development.▸ Contribute to internal AI accelerators, reusable templates, and knowledge-sharing initiatives within thepractice.▸ Stay current with rapidly evolving GenAI research and tooling; evaluate and advocate for adoption ofrelevant advances.REQUIRED SKILLS &amp; TECHNOLOGIESPython LangChain / LangGraph LlamaIndexLiveKit OpenAI / Azure OpenAI Anthropic ClaudeRAG Pipelines Vector Databases LLM Fine-Tuning (LoRA / QLoRA)Prompt Engineering AI Agents &amp; Orchestration Chat Bot DevelopmentVoice Bot Development STT / TTS Integration REST API IntegrationDocker / Kubernetes Azure / AWS / GCP Solution ArchitectureHugging Face Transformers Responsible AI &amp; Guardrails LLM ObservabilityNICE TO HAVEMicrosoft Copilot Studio Semantic Kernel AutoGen / CrewAIDeepgram / ElevenLabs LangSmith / Arize / Helicone MLflow / BentoMLGoogle Gemini / Vertex AI Multimodal AI (Vision + Audio) GraphRAGEXPERIENCE &amp; QUALIFICATIONS▸ 5+ years of software engineering experience, with at least 2&ndash;3 years focused on AI/ML and GenAIapplication development.▸ Hands-on experience building and deploying LLM-based applications in production &mdash; RAG systems,agents, chatbots, or voicebots.▸ Strong Python skills; comfortable with async programming, API design, and working across multipleframeworks simultaneously.▸ Demonstrable experience with real-time voice AI pipelines or streaming audio applications (LiveKit,WebRTC, or equivalent).▸ Experience with at least one major cloud platform (Azure preferred) and containerised deployment.▸ Prior experience in a services, consulting, or agency environment &mdash; managing client relationships anddelivery across multiple projects.▸ Strong communication skills &mdash; able to explain complex AI concepts to non-technical stakeholders clearlyand credibly.▸ Bachelor's or Master's degree in Computer Science, AI/ML, or related field &mdash; or equivalent practicalexperience.▸ Azure AI / OpenAI certifications or equivalent are a plus.Please share your candidature at prerna.gavale@bluebenz.comWork Location: In person

<div>
 Jouw rol als Senior AI Engineer
 
 
 Functieomschrijving
 
 
 Ben jij een AI-engineer die net zo makkelijk met business-stakeholders schakelt als met technische teams? Iemand die energie krijgt van co-cre&euml;ren met de business, processen doorgronden, kansen spotten &eacute;n oplossingen bedenken en bouwen? Dan zoeken we jou! Als Senior AI Engineer in ons AI for Corporate team:
 
 
 <ul>
 <li>
 Ontwerp en bouw je Generatieve AI- en NLP-oplossingen die interne processen in HR &amp; Finance slimmer, sneller en AI-Native maken.
 </li>
 <li>
 Werk je aan concrete use-cases zoals AI-agents voor HR/Finance, geautomatiseerd factuurscannen, goedkeuringsworkflows en voorspellende modellen.
 </li>
 <li>
 Neem je zelfstandig eigenaarschap over features &mdash; van idee tot productie &mdash; met focus op schaalbare, betrouwbare en maintainable AI-services.
 </li>
 <li>
 Ben je een brugbouwer tussen tech en non-tech, durf je te challengen, stel je kritische vragen en bouw je sterke domein-connectie en begrip op.
 </li>
 <li>
 Combineer je AI-expertise met productie-mindset en software engineering-kwaliteit.
 
 
 </li>
 </ul>
 Team &amp; werkmodel
 
 
 We werken hybride met flexibele thuiswerk-opties. We ontmoeten elkaar op
 
 maandagen
 
 in Rotterdam en op
 
 donderdagen
 
 in Amsterdam. Daarnaast organiseren we regelmatig AI-knowledge-sharing en community events.
 
 
 Dit is je team
 
 
 Corporate Insights &amp; Analytics (CIA) is de data- en AI-motor binnen KPN. Met zo&rsquo;n 40 professionals &mdash; van developers en data scientists tot consultants, data engineers, scrum masters en product owners &mdash; werken we verspreid over vijf Scrum-teams aan interne digitale innovatie. Je wordt onderdeel van het AI for Corporate team binnen Group Business Services, een hechte en ondernemende groep van zes AI-specialisten die AI-oplossingen bouwt voor HR &amp; Finance. Binnen dezelfde afdeling werk je ook nauw samen met het Anaplan-, Oracle Reporting-, Managed Dashboarding- en Data-team &eacute;n met KPN&rsquo;s snelgroeiende AI-community van 50+ AI-engineers en data scientists.
 
 
 Wat breng
 
 
 jij ons?
 
 
 Je bent een SeniorAI Engineer die technologie &eacute;n business-impact laat samenkomen. Je werkt zelfstandig, neemt initiatief en krijgt energie van het oplossen van echte corporate uitdagingen binnen HR &amp; Finance. Dankzij je consultant-uitstraling en engineering-achtergrond bouw je vertrouwen op bij stakeholders en vertaal je idee&euml;n naar AI-oplossingen die schaalbaar, betrouwbaar en productie-ready zijn &mdash; precies waar Corporate Insights &amp; Analytics (CIA) voor staat.
 
 
 Dit breng je mee:
 
 
 <ul>
 <li>
 Een afgeronde master in AI of Computer Science
 </li>
 <li>
 5&ndash;10 jaar ervaring met AI/ML-oplossingen in productie-omgevingen (bij voorkeur binnen enterprise-domeinen zoals CIA)
 </li>
 <li>
 Consultant mindset of uitstraling: je werkt graag samen met de business om oplossingen te bedenken &eacute;n te bouwen
 </li>
 <li>
 Sterke software engineering-basis met ervaring in production-grade Python
 </li>
 <li>
 Ervaring met Docker en container-based development
 </li>
 <li>
 Cloud-ervaring, bij voorkeur met Azure
 </li>
 <li>
 Bekend met API-integraties en CI/CD-deployment flows
 </li>
 <li>
 NLP-ervaring of pipelines is een plus
 </li>
 <li>
 Gewend om te schakelen tussen tech- en non-tech-teams, stakeholders te challengen en domein-begrip op te bouwen
 
 
 </li>
 </ul>
 Jouw kracht in samenwerking:
 
 
 <ul>
 <li>
 Je denkt vanuit mogelijkheden &eacute;n concrete oplossingen, niet alleen modellen
 </li>
 <li>
 Je communiceert helder met developers, data scientists en zakelijke stakeholders binnen CIA
 </li>
 <li>
 Je bent analytisch scherp, pragmatisch in je aanpak en technisch sterk in uitvoering
 </li>
 <li>
 Je bouwt connectie met het domein om oplossingen te maken die echt landen
 
 
 </li>
 </ul>
 Waarom jij bij CIA past:
 
 
 Je bent niet alleen iemand die bouwt &mdash; je bent iemand die begrijpt, verbindt, adviseert &eacute;n realiseert. Binnen Corporate Insights &amp; Analytics (CIA) krijg je de ruimte om jouw expertise om te zetten in AI-services die interne processen verbeteren en meetbare waarde leveren aan de organisatie.
 
 
 Klaar voor impact binnen CIA? Sluit je aan bij ons team en help KPN&rsquo;s interne dienstverlening AI-Native en toekomstbestendig te maken.
 
 
 
 Goede beheersing van de Nederlandse taal is vereist voor deze functie/ Proficiency in Dutch (spoken and written) is required for this role.
 
 
 
 Wat krijg je
 
 
 van ons?
 
 
 Natuurlijk hebben we als werkgever jou ook veel te bieden. Dit krijg je van ons:
 
 
 <ul>
 <li>
 Een bruto maandsalaris van maximaal &euro; 7.800,- afhankelijk van je werkervaring, op basis van 40 uur
 </li>
 <li>
 Vaste 13e maand, een deel krijg je maandelijks uitbetaald en een deel in januari van het volgende jaar. &Oacute;f je zet het in voor een FLEX &amp; BOOST doel naar keuze! Klik hier om er meer over te lezen
 </li>
 <li>
 Jaarlijks een individuele en collectieve verhoging conform onze CAO
 </li>
 <li>
 &euro; 1500 per jaar aan inzetbaarheidsbudget dat je naar eigen inzicht mag gebruiken voor bijvoorbeeld trainingen, coaching en cursussen
 </li>
 <li>
 Flexibele vrije dagen: onze collega&rsquo;s mogen zelf (in samenspraak met de manager) bepalen hoe zij met verlof omgaan
 </li>
 <li>
 Een goede werk-priv&eacute; balans (zoals 2 dagen kantoor, 3 dagen thuis, transitieverlof, feestdagwissel naar een feestdag van jouw religieuze of culturele voorkeur)
 </li>
 <li>
 Thuiswerkshop om je werkplek thuis optimaal in te kunnen richten, uiteraard met een mobiele telefoon &amp; laptop
 </li>
 <li>
 50% korting op onze producten en diensten, zodat je voordelig kunt internetten, bellen &eacute;n streamen
 </li>
 <li>
 Goede reiskostenvergoeding: je krijgt je OV kosten volledig vergoed of &euro; 0,23 per kilometer als je met de auto reist. Kom je liever op de fiets? Dan kun je aanspraak maken op onze fietsvergoeding &euro; 0,40 per kilometer
 </li>
 <li>
 Mogelijkheid tot het aanschaffen van een leasefiets waar KPN maandelijks aan meebetaalt (bij onbepaalde tijd contract): Van stadsfiets tot e-bike en van racefiets tot speed-pedelec; jij kiest waar je op fietst
 </li>
 <li>
 Uitstekende pensioenvoorwaarden: een totale inleg van 23% van je pensioengevende salaris waarvan KPN 16% inlegt en jij 7%
 
 
 </li>
 </ul>
 Ons geloof in technologie is groot. Dit wordt n&oacute;g krachtiger samen met menselijk contact, daarom ontmoeten we je graag!
 
 
 Wil je meer weten? Neem contact op met onze recruiter Martijn via martijn.schaap@kpn.com
 
 
 
 Bij KPN hebben we recruitmenttalent dat slim samenwerkt en zo wint. Daarom wordt acquisitie naar aanleiding van deze vacature niet gewaardeerd.
 
</div>

Persistent Systems

<div><div><div>Job Description
</div><div><div><div>
About Persistent 
We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what&rsquo;s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. 
Our disruptor&rsquo;s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix&reg; Assessment 2026 and Software Product Engineering PEAK Matrix&reg; Assessment 2026. 
About Position: 
We are seeking a Senior AI Engineer with strong expertise in LLMs, NLP, RAG pipelines, and emerging agent-based systems. This is a hands-on role focused on building scalable AI-driven applications, contributing to architecture, and delivering intelligent solutions through modern AI frameworks and technologies.<ul><li> 
Role: Senior AI Engineer</li><li>
 Location: Bengaluru</li><li>
 Experience: 8 to 12 years</li><li>
 Job Type: Full-Time Employment</li></ul> 
What You'll Do: 
<ul><li>
Design and develop ML/NLP models and data pipelines</li><li>
Perform data preprocessing, feature engineering, and model evaluation</li><li>
Build and optimize applications using Large Language Models (LLMs)</li><li>
Develop prompts, embeddings, and inference workflows</li><li>
Support fine-tuning and evaluation of LLM-based systems</li><li>
Design and maintain RAG pipelines integrating vector search with LLMs</li><li>
Work with embedding models and vector databases such as Elastic, OpenSearch, and FAISS</li><li>
Improve retrieval quality and relevance of AI responses</li><li>
Contribute to building agent-based workflows and orchestration logic</li><li>
Implement agent coordination and tool integrations</li><li>
Develop scalable AI services, APIs, and inference systems</li><li>
Support real-time and batch AI deployment use cases</li><li>
Ensure code quality, performance, and reliability</li><li>
Collaborate with product managers, engineers, and data scientists</li><li>
Participate in technical design discussions and documentation</li></ul> 
Expertise You'll Bring: 
<ul><li>
5&ndash;7 years of software engineering experience</li><li>
Minimum 3 years of experience in Machine Learning and NLP</li><li>
1.5+ years of hands-on experience with LLM-based applications</li><li>
Strong knowledge of NLP fundamentals including embeddings and transformers</li><li>
Experience with ML frameworks such as PyTorch or TensorFlow</li><li>
Hands-on experience with LLMs like GPT, Llama, Gemini, or Claude</li><li>
Strong understanding of prompt engineering and LLM evaluation techniques</li><li>
Experience with frameworks like LangChain or Google ADK</li><li>
Experience building RAG systems using vector databases and embedding models</li><li>
Strong Python programming skills</li><li>
Experience with REST APIs and microservices architecture</li><li>
Knowledge of Docker and cloud platforms such as Azure, AWS, or GCP</li><li>
Strong analytical, problem-solving, and debugging skills</li></ul> 
Benefits: 
<ul><li>
Competitive salary and benefits package</li><li>
Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications</li><li>
Opportunity to work with cutting-edge technologies</li><li>
Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards</li><li>
Annual health check-ups</li><li>
Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents</li></ul> 
Values-Driven, People-Centric &amp; Inclusive Work Environment: 
Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. 
<ul><li>
We support hybrid work and flexible hours to fit diverse lifestyles.</li><li>
Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.</li><li>
If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment</li></ul> 
Let&rsquo;s unleash your full potential at Persistent - persistent.com/careers 
&ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;</div></div></div></div><div></div><div><div><div>
1</div><div><div>
Open Positions
</div></div></div></div><div><div><div>GenAI,Agentic AI,ML,LLM,Langchain</div><div><div>
Skills Required
</div></div></div></div><div><div><div>BENGALURU</div><div><div>
Location
</div></div></div></div><div><div><div>GenAI,Agentic AI,ML,LLM,Langchain</div><div><div>
Desirable Skills
</div></div></div></div><div><div><div>178317</div><div><div>
Job Code</div></div></div></div></div>

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