Job Description
This is a rolling recruitment initiative for experienced AI professionals who have designed, built, and deployed production-grade AI systems in real-world environments.
This is not a single immediate hire. Candidates will undergo a structured technical vetting process. Those who meet our standards will be admitted into our AI Talent Pool and considered for full-time placements with our clients as opportunities arise.
We are specifically seeking engineers who have moved beyond experimentation and can demonstrate measurable business impact. Selection is based on technical depth, system architecture capability, production deployment experience, and professional maturity.
Responsibilities
- Design and implement LLM-powered features for real-world applications.
- Build and maintain RAG pipelines, prompt workflows, and evaluation loops.
- Integrate AI systems with APIs, backend services, and data stores.
- Optimize models for latency, cost, and reliability in production.
- Collaborate with product and engineering teams to ship AI features.
Requirements
- Strong Python experience and backend engineering fundamentals.
- Hands-on experience deploying LLMs or GenAI systems in production.
- Experience with embeddings, vector databases, and retrieval systems.
- Ability to reason about trade-offs between models, cost, and performance.
- Clear evidence of shipped AI features used by real users.
Work Type & Tools
- Remote
- Requires candidates to own and use their own work tools – laptops, internet connection.
Remuneration & Placement Model
Our objective is to place selected candidates into stable, long-term full-time client engagements. While certain opportunities may be project-based, we prioritize structured and ongoing placements that provide continuity and impact.
To ensure alignment and predictability, candidates are required to indicate their expected monthly NET compensation (USD) during application. This enables us to establish standardized compensation bands and match talent to appropriate client opportunities efficiently and transparently.
Compensation expectations are aligned upfront to create clarity for both parties and support long-term placement stability.
Benefits
- Full-time placement opportunities with international clients.
- Exposure to production-grade AI systems serving real users across industries.
- Opportunity to architect, deploy, and optimize LLM and GenAI systems at scale.
- Stable engagement model focused on sustained impact rather than short-term gigs.
- Remote-first structure with outcome-driven expectations.
Apply below
If you are interested, please fill out and submit the application form below.
