Our work
Anonymised profiles from recent shortlists across our partners: the people we put forward for agentic AI, AI, data and platform roles. Availability is confirmed when we shortlist.
Agentic AI
AI Solution Architect (Agentic AI & Cloud)
A cloud and AI solution architect who defines enterprise architectures for autonomous agents, multi-agent workflows and RAG on AWS, alongside large-scale cloud migrations for banking and telecom clients. Leads pre-sales and technical teams, turning AI and cloud roadmaps into delivered systems such as RAG chatbots, virtual assistants and call-centre intelligence.
- Amazon Bedrock
- Amazon SageMaker
- LangChain
- LangGraph
- Multi-agent workflows
Agentic AI
Lead Agentic AI Engineer
Leads a small AI team delivering LangGraph-based agents and RAG systems for enterprise clients, with production discipline around LLM-as-judge evaluation, golden datasets and Langfuse/OpenTelemetry tracing. Also brings deep computer-vision and document-intelligence experience, including OCR for complex business forms and model compression for edge and real-time use.
- LangGraph
- LangChain
- Multi-agent orchestration
- RAG (hybrid BM25 + dense, RRF, reranking)
- Qdrant
Agentic AI
AI Tech Lead (LLM Automation & Document AI)
A tech-lead-level AI engineer who has spent the last three years shipping LLM applications: RAG, intelligent document processing, knowledge graphs and workflow automation with routing, guardrails and fallbacks. Owns end-to-end delivery and client communication, and has recently built agentic automation with the Claude Agent SDK, Claude Code skills and subagents, and LangGraph.
- RAG
- Azure OpenAI
- Amazon Bedrock
- OpenAI GPT
- Claude
Agentic AI
AI Platform Technical Lead
A technical leader who architects enterprise AI platforms end to end: multi-agent LLM workflows, hybrid-retrieval RAG over millions of documents and streaming APIs, running on event-driven AWS infrastructure defined in Terraform. Pairs AI platform design with deep back-end experience in multi-tenant banking, genomics and telemedicine systems.
- LangChain
- Multi-agent orchestration
- RAG (hybrid semantic + keyword retrieval)
- Pinecone
- Weaviate
Agentic AI
Senior Agentic AI Engineer
An AI engineer who designs and ships production LLM systems, from planner-executor multi-agent orchestration to RAG over enterprise knowledge bases and fine-tuned small language models. Combines a research-oriented NLP background with hands-on delivery of OCR, document extraction and multimodal retrieval services behind FastAPI.
- LangGraph
- LangChain
- Google ADK
- MCP servers
- RAG
Agentic AI
Senior AI Engineer (Agentic RAG & Full-Stack)
A full-stack engineer turned AI engineer who builds agentic RAG platforms with intent-based routing, self-correction and reranking over multimodal content such as video transcripts and PDFs. Pairs production Python and FastAPI back-ends on AWS serverless with front-end leadership in React and Next.js.
- LangChain
- Multi-agent / router-agent workflows
- RAG with two-stage retrieval and reranking
- Qdrant
- AWS Bedrock
Agentic AI
AI Engineer (Multi-Agent LLM Applications)
An AI engineer who builds production LLM services: multi-agent chat orchestration with intent routing, RAG grounding, structured output and guardrails, delivered as FastAPI services on AWS. Also brings a computer-vision background, fine-tuning and ONNX-optimising recognition models for client deployments.
- Agent / sub-agent orchestration with intent routing
- RAG & embeddings
- OpenSearch vector search
- Structured output & guardrails
- Prompt engineering
AI and ML
Senior AI Engineer (RAG & Document AI)
An AI engineer focused on document intelligence and RAG, currently building an OCR-based extraction engine and a configurable RAG chatbot with integrated agents, tools and workflows. Brings strong MLOps and model-optimisation depth from graduate research and real-time computer-vision work on edge devices.
- RAG pipelines
- AI agents, tools and workflows
- OCR document extraction
- Kubeflow pipelines
- MLflow
AI and ML
Senior AI/ML Engineer (GenAI & Computer Vision)
An AI/ML engineer with a production computer-vision core (face liveness, detection, tracking and action recognition) who now focuses on generative AI: RAG, LLM evaluation and safety guardrails for a bank-wide GenAI platform. Builds agent-based workflows on Azure OpenAI with Dify and n8n, evaluated with RAGAS and traced with LangSmith and Langfuse.
- Azure OpenAI
- RAG
- RAGAS
- LangSmith
- Langfuse
AI and ML
Senior AI Engineer (LLM, Voice AI & Data)
An AI engineer with a data-engineering and analytics background who builds RAG-based recommendation, document-intelligence and real-time voice AI solutions on Azure OpenAI, integrated with ERP systems. Previously engineered pipelines and ML/NLP applications on a global aviation big-data platform serving manufacturers and airlines.
- Azure OpenAI
- OpenAI API
- LangChain
- LangGraph
- RAG
AI and ML
AI/ML & Data Engineer (MLOps)
An AI/ML and data engineer who designs enterprise ML solutions on AWS end to end, from data ingestion and feature engineering to training, fine-tuning and MLOps with drift detection and observability. Has built a multilingual assistant on Amazon Bedrock and LangGraph and large-scale ETL for NLP model training, and also teaches data engineering at university level.
- Amazon Bedrock
- LangGraph
- MLOps (model observability, drift detection, reliability monitoring)
- Model training and fine-tuning (CNN, LSTM, ARIMA)
- Feature store design
AI and ML
Senior AI Solutions Consultant (Computer Vision)
A senior computer-vision and AI engineer with over a decade of R&D across image processing, 3D reconstruction and on-device AI, backed by postgraduate research in computer vision. Has shipped identity-verification, medical-imaging and traffic-monitoring systems, from C++/OpenCV algorithms to TensorFlow Lite and PyTorch Mobile models on Android.
- TensorFlow Lite
- PyTorch Mobile
- CNNs
- OCR + NLP information extraction
- Face liveness detection and matching
AI and ML
AI / LLM Engineer
An LLM engineer who builds GenAI back-end features end to end: intent routing, RAG over vector search, structured-output validation, guardrails and token/latency logging on FastAPI with AWS Bedrock or OpenAI. Also has hands-on edge-AI experience, shipping a quantised OCR model as a native C++ inference library on ARM hardware.
- AWS Bedrock (Claude models)
- OpenAI API (GPT-4o, embeddings)
- LangChain
- RAG
- OpenSearch
Data
Lead Data Engineer (Lakehouse & Warehouse)
A lead data engineer who designs and optimises data lakes, warehouses and lakehouses on Snowflake-class warehouses, BigQuery, ClickHouse and StarRocks, using dbt, Spark, Kafka and Airflow. Recent work centres on redesigning ingestion, enforcing data quality in silver layers and tuning gold-layer models for performance.
- Snowflake
- BigQuery
- ClickHouse
- dbt
- Apache Spark
Data
Senior Data & Analytics Engineer
A senior data engineer who builds analytics platforms on Snowflake and Databricks with dbt-driven ELT, business-aligned marts and Power BI semantic models with standardised DAX metrics. Has delivered warehouses and pipelines across AWS, Azure and GCP, from Airflow-orchestrated Redshift to a Snowflake replacement for legacy reporting.
- Snowflake
- Databricks
- dbt
- SQL
- Python
Data
Senior Data Engineer (Snowflake & Data Vault)
A senior data engineer with deep Snowflake and Data Vault 2.0 experience, including an enterprise warehouse used worldwide by a multinational manufacturer's finance and operations teams. Currently leads a small team running a global big-data platform on Snowflake, Hadoop, Spark and Airflow, with CI/CD automation and an internal LangGraph chatbot for knowledge access.
- LangGraph
- Vector database pipelines
- Chainlit
Data
Senior Data Engineer (Snowflake, Fabric & Power BI)
A senior data engineer who builds Snowflake and Microsoft Fabric warehouses with dbt, Fivetran and Prefect, plus the Power BI semantic models, paginated reports and DAX measures on top. Strong Azure background, with experience migrating legacy SSRS estates and supporting analytics and ML use cases for an AI healthcare start-up.
- Azure Machine Learning
- RAG data pipelines
Data
Data Engineer (Snowflake, dbt & Airflow)
A data engineer focused on pipeline reliability and data quality, running Airflow and dbt medallion projects with automated tests, anomaly detection and controlled backfills. Has delivered an end-to-end Snowflake ELT with Snowpark stored procedures and Streams & Tasks, and operates Microsoft Fabric pipelines for a transport platform.
- Snowflake (Snowpark, Streams & Tasks)
- dbt
- Apache Airflow
- Azure Data Factory
- Microsoft Fabric
Full-stack
AI-Powered Full-Stack Engineering Lead
An engineering lead who builds and scales product teams while staying hands-on across React, NestJS and Python on AWS, with a strong record of shipping LLM and RAG features into production. Recent work spans an AI hiring platform with real-time voice interviews and an AI accounting solution that automated financial document processing.
- OpenAI GPT API
- Claude
- DeepSeek
- LangChain
- Hugging Face
Full-stack
Full-Stack & ML Engineering Lead
A full-stack and machine-learning engineer with research roots in deep-learning document information extraction, who has spent recent years building cloud-native trading, DeFi and stablecoin platforms on AWS. Most recently built an agent-driven lead-scoring web application with Next.js and AI coding agents.
- AI agents for lead scoring
- Codex
- Cursor
- GLM models
- PyTorch
Full-stack
Full-Stack Technical Lead
A technical lead with 12+ years across web, desktop and service development who now leads the transformation of a legacy data-migration product into SaaS. Brings long experience building enterprise test-automation platforms and works across Java, C++, Go, TypeScript and React.
- Java / Spring
- C++
- gRPC
- TypeScript
- React / Next.js
Full-stack
Senior .NET Engineer / Squad Lead
A PMP-certified senior .NET engineer and squad lead with 10+ years in C#, .NET Core, Entity Framework and Web API, applying microservices, DDD, TDD and event-driven design on Azure. Leads Scrum teams end to end, from scope and risk through CI/CD in Azure DevOps to mentoring.
- C#
- ASP.NET Core / Web API
- Entity Framework
- Azure (App Service, Functions, DevOps)
- Docker
Delivery and QA
Business Analysis Lead & Solution Consultant
A business-analysis lead and pre-sales consultant who scopes multi-actor platforms end to end, from SRS and functional flows to acceptance criteria, UAT quality tracking and go-live readiness. Known for surfacing external dependencies and timeline risks early, and helped formalise a company-wide BA process for a CMMI Level 3 appraisal.
- SRS / BRD / FSD
- User stories & use cases
- WBS & MoSCoW prioritisation
- UAT quality tracking
- Jira
Delivery and QA
Delivery Manager / Senior Project Manager
A delivery manager with about 15 years in software, progressing from engineer and technical lead to project and delivery management of teams of 20–40 direct and up to 60 external staff. Accountable for P&L, utilisation, quality and customer KPIs across managed-services, automotive-embedded and cloud programmes for clients in the US, Europe, Japan and Asia.
- Agile Scrum
- Waterfall / V-Model
- KPI and P&L management
- Resource and capacity planning
- Proposal and bid management
Delivery and QA
AI Change & Adoption Analyst
A business analyst turned change-and-adoption specialist who standardises enterprise workflows and prepares users for AI and automation rollouts for Japanese enterprise clients. Maps as-is and to-be processes, defines human-review gates and confidence thresholds, coordinates UAT and produces reusable guides that drive adoption.
- Human-in-the-loop review design
- Confidence thresholds for document AI
- AI evaluation & testing cycles
Delivery and QA
Project Manager & AI Adoption Lead
A delivery manager who leads the agentic-AI adoption programme for a roughly 120-person offshore engineering unit, mapping SDLC and project-management processes and designing agents, tool integrations and human-in-the-loop checkpoints against them. Runs live client projects in parallel, covering planning, estimation, risk, change requests and UAT.
- Claude
- ChatGPT
- MCP-based tooling
- Agentic coding workflows (reusable skills, autonomous agents)
- Human-in-the-loop checkpoints
Platforms
ServiceNow Technical Lead
A ServiceNow technical lead who runs end-to-end delivery for Japanese enterprise clients across ITSM, ITOM, HAM/SAM, CMDB, Discovery, HRSD and SPM, leading a team of eight developers and administrators. Combines deep platform scripting and integration skills with a full-stack and computer-vision background.
- ServiceNow Now Assist
- Virtual Agent
- Predictive Intelligence
- YOLO object detection
Platforms
BPM Solution Architect / Tech Lead (IBM BAW & ODM)
A tech lead and BPM solution architect with 10+ years on IBM BPM/BAW and IBM ODM, backed by a strong Java/Spring integration foundation. Designs process, decision and integration architecture end to end, breaks it into sprint-ready work and mentors developers through delivery.
- IBM Business Automation Workflow / IBM BPM
- IBM ODM
- BPMN
- Java SE / EE
- Spring Boot
Platforms
Senior ServiceNow Developer / Solution Architect (Now Assist)
A senior ServiceNow consultant and solution architect with six-plus years of full-cycle implementations across ITSM, ITOM, ITAM, HRSD and CMDB for ANZ, EMEA and APAC clients. Currently leads AI adoption on a global insurer's ServiceNow centre of excellence, enabling Now Assist and running Virtual Agent proofs of concept.
- ServiceNow Now Assist
- Virtual Agent
- AI-driven workflow automation PoCs
Platforms
Senior Power Platform & Microsoft 365 Architect
A Microsoft 365 and Power Platform architect with more than a decade on SharePoint, Power Apps, Power Automate, Dataverse, Dynamics 365 and Power BI, including long-running brownfield SharePoint estates. Designs approval, document-management and reporting solutions for banks and enterprises, integrating .NET back ends and Azure services.
- Power Apps (Canvas & Model-driven)
- Power Automate
- Dataverse
- SharePoint Online / SPFx
- Power BI
Platforms
Salesforce Technical Architect
A Salesforce technical architect with 8+ years across Sales, Service and Experience Cloud, covering solution design, Apex and Lightning Web Components development, integrations and release management. Has led implementations as solution consultant, tech lead and project manager, and has administered the platform for a large telecom operator.
- Salesforce Sales, Service & Experience Cloud
- Salesforce CPQ
- Apex (triggers, batch, queueable)
- Lightning Web Components / Aura
- Visualforce
Platforms
Platform Engineer (Kubernetes & Streaming)
A platform engineer with five years building cloud-native deployment platforms on Kubernetes, using Helm and Ansible for infrastructure as code, CI/CD with security scanning and Prometheus/Grafana observability. Also builds real-time streaming systems with Apache Flink and Pulsar for security analytics and gaming.
- Kubernetes
- Helm
- Ansible
- Docker / containerd
- Jenkins
Cloud and DevOps
DevSecOps Technical Lead
A DevSecOps lead who designs and runs secure, auto-scaling AWS and Kubernetes/OpenShift infrastructure for high-traffic, event-driven platforms. Governs secure CI/CD with infrastructure as code and automated SAST/DAST, dependency and container scanning, and is the customer-facing focal point for incidents and UAT.
- AWS (EC2, EKS, ECS, RDS, VPC)
- Kubernetes
- Red Hat OpenShift
- Docker
- Terraform / CloudFormation
Cloud and DevOps
Cloud Security & DevSecOps Lead
A cloud security and DevSecOps lead with over a decade securing banking, fintech and retail systems, now designing AWS and GCP security architectures for platforms at multi-million-user scale. Integrates SCA, SAST and DAST into CI/CD, runs assessments and incident response, and drives compliance with ISO 27001, SOC 2, PCI DSS and regional financial regulations.
- AWS security services (Security Hub, GuardDuty, CloudTrail, IAM)
- GCP
- Microsoft Azure / Microsoft 365 security
- Python
- AWS Lambda
Cloud and DevOps
Senior Cloud & DevOps Engineer
A senior cloud and DevOps engineer who provisions AWS and Azure infrastructure with Terraform, including EKS/AKS, VPC, RDS and serverless Lambda/SQS designs, and builds CI/CD across GitHub Actions, Azure DevOps and Jenkins. Also ships full-stack features in Go, Python (FastAPI), NestJS and Next.js.
- AWS (EKS, Lambda, SQS, DynamoDB, VPC)
- Azure (AKS, Azure DevOps)
- Terraform
- Kubernetes
- Docker
Cloud and DevOps
DevSecOps & MLOps Engineer
A DevSecOps and cloud engineer who provisions GCP, AWS and Azure infrastructure with Terraform and Kubernetes and builds CI/CD and model-deployment pipelines for AI-enabled products. Has integrated Google AI services and Vertex AI pipelines into identity, detection and chatbot platforms under a zero-trust security model with full observability.
- Vertex AI Pipelines
- Kubeflow
- MLflow
- Dialogflow CX
- Google Cloud Vision and Natural Language APIs
Delivery and QA
QA Automation Engineer
A QA engineer who progressed from manual to automated testing, building Katalon and Playwright suites for document-management and HR web applications used by Japanese enterprises. Also covers API testing with Postman, back-end data validation in PostgreSQL and load testing with JMeter and Locust.
- browser-use (AI browser automation)
An anonymised profile from a recent shortlist. Names, employers and clients are withheld. Availability is confirmed when we shortlist.
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