Join specialist engineering and design teams delivering production AI, robotics, embedded systems, IoT hardware, software products, and brand work across twelve practice areas — TinyML & Edge AI, Custom AI Development, AI Automation & Agents, Data Engineering, IoT Solutions, Hardware Prototyping, Robotics & Automation, 3D Design & Modeling, Software Development, Growth & DevOps, Branding & Creative Design, and Startup & Product Launch. We build systems that run in the field, not just in demos.
We hire across six specialist tracks — Custom AI & ML, Robotics & Automation, Hardware & IoT, Edge & Embedded, Software & DevOps, and Design & Launch — matching WorkSprout's twelve client-facing practice areas. Every role works on live client systems, not internal tooling or toy projects.
Custom AI & MLFull-timeHybrid
Domain-Specific Chatbot Engineer
Custom AI & ML·Dhaka, Bangladesh·2 openings
You will design and deploy domain-specific conversational AI systems that solve real business problems. Your work spans intent recognition, knowledge base integration, and production-grade chatbot infrastructure built on the latest …
You will architect and implement autonomous AI agents that handle complex, multi-step business workflows. This role sits at the intersection of LLM engineering and software automation, requiring deep understanding of …
You will develop real-world NLP and image processing solutions — from OCR pipelines and document intelligence to multi-modal AI systems that understand both text and visual content in production environments.
You will build and maintain the observability stack for our ML and data systems using ELK, Grafana, and Prometheus. You will define SLOs, build dashboards, and implement intelligent alerting to …
You will operationalise machine learning models and build anomaly detection systems monitoring real-world metrics — from CPU utilisation spikes (> 90% triggering automated alerts) to data drift signals. You will …
You will integrate AI and robotics systems into biomedical applications, developing perception pipelines and control systems that operate in real medical and industrial environments. This role requires both deep software …
You will build computer vision pipelines that power robotic perception — from object detection and tracking to depth estimation and scene understanding. Your models will run on real hardware in …
You will specialise in compressing and deploying deep learning models for real-time inference on resource-constrained robotic and embedded hardware. Your optimised models will run on Jetson devices, Raspberry Pis, and …
You will build the data infrastructure that feeds our robotics and ML systems — collecting, labelling, and processing real-world sensor data from physical deployments, and building automated data scraping pipelines …
You will develop embedded software and drivers for single-board computers and AI-accelerated edge platforms including Raspberry Pi 4/5, Jetson Nano, and Banana Pi. You will build firmware, BSPs, and hardware …
You will design, prototype, and deploy IoT hardware solutions integrating sensor networks, communication modules, display systems, and cloud connectivity across diverse embedded platforms including Raspberry Pi modules, Jetson, and custom …
You will build and maintain embedded Linux systems for industrial and consumer products, working across the full stack from kernel drivers and BSPs to application-layer services. You will own the …
You will develop the software tools, dashboards, and connectivity layers that make IoT devices manageable and useful at scale — from firmware update utilities and device management platforms to protocol …
You will design the mechanical enclosures, mounting systems, and physical housings that protect and present our embedded hardware products. Working alongside electrical and firmware engineers, you will translate circuit board …
You will design and build full-stack web and API products for WorkSprout clients — from architecture and database schema through REST and GraphQL APIs to performant frontend experiences. Your work …
You will own the infrastructure, CI/CD pipelines, and deployment automation that keeps WorkSprout client systems running reliably at production scale. From containerised microservices on Kubernetes to ML model serving infrastructure …
You will create the visual identities, interface designs, and brand systems that give WorkSprout client companies their market presence. Your work spans full brand identity projects — logo, typography, colour …
You will lead the product definition, roadmap execution, and go-to-market strategy for early-stage startup clients engaging WorkSprout for their MVP and launch. This role sits at the intersection of product …
Check back soon, or send your CV to careers@worksprout.us — we keep strong profiles on file for upcoming work across all twelve practice areas.
Why WorkSprout
Built for Engineers Who Ship
We invest in engineers, designers, and product specialists who want production-grade AI, robotics, hardware, and software work — not slide decks or internal tools. Here is what working at WorkSprout actually looks like.
Real Hardware Access
Work with Jetson Nano, Raspberry Pi 4/5, Banana Pi, cameras, LiDARs, depth sensors, and a fully equipped electronics lab — not simulations or toy datasets.
GPU Compute & LLM APIs
Access to GPU instances for model training and fine-tuning, plus active subscriptions to OpenAI, Anthropic, and open-source LLM infrastructure for production workloads.
Production From Day One
No toy projects. Your code, models, and designs go directly into real client systems handling real loads — field-deployed, client-facing, and fully instrumented.
Competitive Compensation
Salaries benchmarked to international market rates, transparent progression paths, and performance bonuses tied to delivery outcomes — not internal politics.
Research & Innovation Time
Dedicated weekly hours for paper reading, prototyping, and open-source contributions. We actively support conference attendance and technical publication.
Cross-Discipline Collaboration
AI, robotics, embedded, software, and design engineers collaborate on shared roadmaps across all twelve practice areas — no siloed teams, no invisible walls between disciplines.
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Ready to move forward?
Tell us about your goals. We will recommend the right mix of services and map a clear path from discovery to launch.