Careers

Build AI that

ships.

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Remote — work from anywhere

Senior

No junior-heavy teams here

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Open positions

5 roles open now.

Senior AI/ML Engineer

Full-time · Remote · AI Systems

Hiring›

Design and ship multi-agent orchestration systems, RAG pipelines, and LLM fine-tuned models into production. You will own the architecture of complex AI workflows from spec to deployment.

Requirements

4+ years working with LLMs, RAG, or ML pipelines in production

Strong Python — LangChain, LangGraph, or AutoGen experience

FastAPI or similar for AI-backed REST/WebSocket services

Vector stores: Pinecone, pgvector, Weaviate, or equivalent

Comfort with prompt engineering, fine-tuning (LoRA/QLoRA), and evals

Nice to have

LangSmith / observability for LLM apps

Kubernetes, Docker

Previous experience at an AI product company

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Full-Stack AI Developer

Full-time · Remote · AI-Ready Software

Hiring›

Build the product layer on top of AI systems — real-time dashboards, AI-native UIs, and robust APIs that connect enterprise data to model outputs.

Requirements

3+ years with React / Next.js and TypeScript

FastAPI or Node.js for backend services

Experience integrating AI APIs (OpenAI, Anthropic, Cohere)

PostgreSQL and at least one vector store

Confident with CI/CD, testing, and production deployments

Nice to have

WebSockets / streaming UI for real-time AI output

Tailwind CSS

Previous startup experience

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Computer Vision Engineer

Full-time · Remote · AI Systems

Hiring›

Build production computer vision systems — from model training and fine-tuning to edge deployment. Our CV work runs in healthcare, manufacturing, and automotive at scale.

Requirements

3+ years with PyTorch or TensorFlow in CV tasks

YOLO, SAM, CLIP, or similar detection/segmentation models

Experience deploying CV to production (not just notebooks)

OpenCV, image preprocessing pipelines

Strong Python fundamentals

Nice to have

TensorRT or ONNX for edge inference

Experience with medical imaging or industrial QC

MLflow or W&B for experiment tracking

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MLOps & AI Infrastructure Engineer

Full-time · Remote · AI Infrastructure

Hiring›

Own the infrastructure that keeps our AI systems running — model serving, monitoring, retraining pipelines, and cloud cost optimisation across AWS, GCP, and Azure.

Requirements

3+ years in DevOps or MLOps roles

Kubernetes, Docker, Helm — running ML workloads in production

CI/CD pipelines for ML (GitHub Actions, ArgoCD, or equivalent)

AWS or GCP — SageMaker, Vertex AI, or equivalent

MLflow, Weights & Biases, or similar for experiment and model management

Nice to have

Terraform or Pulumi for IaC

Prometheus / Grafana for AI system monitoring

Experience with GPU cluster management

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Business Development Manager

Full-time · Remote · Growth

Hiring›

Own the top of funnel for Kamal Soft — identify, qualify, and close AI engineering engagements with enterprises and fast-growing startups in UK, EU, and North America.

Requirements

3+ years in B2B tech sales, ideally in software services or AI

Track record of closing 5–6 figure engineering contracts

Ability to understand and explain technical AI capabilities to non-technical buyers

Comfortable building pipeline from cold outreach to close

Excellent written and verbal communication in English

Nice to have

Existing network in insurtech, healthtech, legaltech, or logistics

Experience selling offshore or nearshore development services

Familiarity with CRM tools (HubSpot, Salesforce)

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Why join

Senior, remote, and shipping real AI.

Fully remote

Work from anywhere. We hire for skill, not location.

Real production systems

No internal tools, no demo-ware. Our AI runs in hospitals, insurance platforms, and logistics networks.

Senior team

You will work with engineers who have shipped, not just theorised. No explaining basics.

Fast feedback loops

Weekly deploys. Short sprints. You see your work in production fast.

Ownership

You own your work — architecture decisions, code quality, and outcomes.

Competitive pay

Benchmarked against senior engineering rates in UK and EU markets.

Apply

Think you are a fit?

Upload your CV and tell us why you want to join. We review every application personally.

We reply to every application

Decision within 5 business days

Two-stage process: written + technical