Join the team building production AI
We’re a senior, execution-first team. If you’ve shipped AI systems end-to-end and you care about rigor, clarity, and impact, we’d like to hear from you.
Presales & Growth Intern (Part-Time, Remote)
Karachi, Lahore, Pakistan (& Suburbs). Paid. Remote. Students or Graduates are ok. BBA, MBA, or equivalent
Client: Iris Labs LLC
We are hiring three exceptional Presales & Growth Interns in Karachi or Lahore who want hands-on experience working directly with a U.S. leadership team in a fast-growing AI company. You'll rotate across marketing, business development, content, market research, and events, and may also support Zaheen.ai and future Iris Labs initiatives.
Highlights
- Rotate across outbound & inbound marketing, business development & lead generation, content & social media, market research, and events & community marketing.
- Support Zaheen.ai and future Iris Labs initiatives as needed.
- Work approximately 4 hours/day, 5 days/week, with occasional 1–2 hours on weekends.
Automation Engineer III (Contract)
Remote (US Based) - W2 (No visa sponsorship)
Client: Fortune 50 global social network client
Forward Deployed Automation Developer for a Fortune 50 social network client's Finance Innovation Hub. Sit at the intersection of AI engineering and Finance transformation — building automation and AI-driven workflows that handle real money, real controls, and real compliance obligations. 1-year contract, ~$60–$65.49/hr USD.
Highlights
- Own end-to-end delivery: design, build, test, iterate, and deploy AI-enabled solutions from first conversation to production release.
- Translate Finance requirements into technical solutions and architect implementations grounded in the client's technology stack.
- Embed governance from day one: guardrails, fallback behaviors, human-in-the-loop logic, and audit-ready documentation.
Program COO
Remote / South Asia or Middle East
Client: AI-enabled education transformation initiative (Iris AI Partners client)
Builder-operator role leading implementation of an AI-enabled education transformation platform from concept through large-scale deployment. Own roadmap, partner coordination, pilots, governance, and team formation.
Highlights
- Develop and execute the overall implementation roadmap; translate strategy into measurable delivery plans.
- Serve as the central coordination point across curriculum, certification, technology, and institutional partners.
- Establish governance, reporting, risk management, milestone planning, and performance tracking.
Program Manager – Learning & Teacher Enablement
Doha, Qatar (Preferred)
Client: AI-enabled education transformation initiative (Iris AI Partners client)
We are seeking a Program Manager to help design, launch, and operate a modern teacher enablement and learning innovation program. This role will work closely with curriculum providers, certification partners, technology teams, and school stakeholders to prepare educators for technology-enabled learning environments and future-ready classroom delivery.
Highlights
- Design and operationalize teacher onboarding, training, and readiness programs.
- Lead professional development initiatives and teacher enablement frameworks.
- Coordinate curriculum implementation and certification readiness activities.
Senior Product Manager – AI/ML for Social Media
Dubai, UAE
Client: Fortune 500 global social network client (Iris AI Partners client)
Drive AI/ML-powered product initiatives across a leading social media platform. Define product strategy for recommendation systems, content understanding, personalization, and generative-AI experiences that reach billions of users.
Highlights
- Define the AI/ML product vision and roadmap across ranking, recommendations, content understanding, and GenAI experiences.
- Partner closely with ML research, applied science, and engineering to translate ambiguous problems into shippable ML product requirements.
- Run rigorous experimentation programs (A/B testing, holdouts) and use quantitative analysis to drive product decisions.
Sr. Machine Learning Engineer
Remote
Build and deploy production ML/LLM systems end-to-end — from data and evaluation to scalable inference and monitoring.
Highlights
- Design and implement production ML services (batch + real-time) with clear interfaces and SLAs.
- Build evaluation harnesses (offline + online), create baselines, and iterate with tight feedback loops.
- Own model training/fine-tuning workflows and/or RAG pipelines with strong observability.
Sr. Software Engineer (AI Systems)
Remote
Engineer the software foundation for AI products: APIs, data services, integrations, and secure, scalable deployments.
Highlights
- Build and maintain backend services and APIs that power AI-enabled products.
- Integrate AI capabilities into existing systems (workflows, internal tools, customer-facing apps).
- Design data flows and interfaces between products, models, and storage systems.
Sr. Data Scientist
Remote
Lead data science initiatives from problem framing to measurable impact, partnering closely with engineering to ship.
Highlights
- Frame business problems into measurable hypotheses and ML/AI approaches.
- Build experiments, prototypes, and metrics that guide product and model decisions.
- Create and validate features, baselines, and evaluation criteria.
AI Research Scientist
Remote
Own research-to-production work on modern AI systems — retrieval, LLMs, agents, and applied research that ships.
Highlights
- Design and run research experiments; turn results into practical systems.
- Build novel retrieval/LLM/agent approaches when off-the-shelf solutions fall short.
- Develop evaluation protocols and interpret results with rigor.
AI Intern
Remote
Work on real AI systems alongside senior engineers and researchers. This is a hands-on internship with clear deliverables.
Highlights
- Contribute to AI research and engineering workstreams (evaluation, data pipelines, prototypes).
- Implement experiments and summarize results clearly and reproducibly.
- Support the team with literature review and rapid prototyping.
Not seeing your role?
If you’ve shipped AI systems in production and you think you’d be a strong fit, send a note anyway. We’ll keep you in mind as new work starts.