Remotebase
via Workable
AI Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 14h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 167d ago
The date the source published, not the day we noticed it (2026-04-01). Last seen at its source 2h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Pakistan
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $73.8k–170.3k/yr
Middle 50% of 24 listings that do state pay — Engineering · all levels · APAC · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 11d ago · last seen 2h ago
The listing
We are looking for a skilled AI Engineer with a strong background in FastAPI framework and experience in handling background tasks. The ideal candidate will be responsible for designing, implementing, and maintaining robust, scalable APIs for our [product/service]. You will collaborate closely with cross-functional teams to deliver high-quality solutions that meet our clients' needs.
Key Responsibilities:
- Develop and maintain APIs using the FastAPI framework.
- Implement background tasks and asynchronous processing to optimize system performance.
- Designing and building LLM-powered features and pipelines (RAG, agents, tool use, multi-step reasoning chains)
- Context engineering — structuring prompts, managing context windows, optimizing token usage, implementing retrieval strategies to feed LLMs the right information at the right time
- Working with LLM APIs (Claude, OpenAI, etc.) and orchestration frameworks
- Building evaluation and testing frameworks for LLM outputs (accuracy, hallucination detection, regression testing)
- Implementing guardrails, content filtering, and responsible AI patterns
- Optimizing latency and cost for LLM-heavy workloads (caching, streaming, batching)
- Write clean, efficient, and maintainable code that adheres to industry best practices.
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field.
- 2-4 years of experience in Python development.
- Proven experience with FastAPI framework.
- Proficiency in MongoDB database management systems.
- Excellent problem-solving and communication skills.
- Ability to work effectively both independently and as part of a team.
- Experience with version control systems (e.g., Git) is a plus.
Benefits
- Market-competitive salary – rewarding your contributions fairly.
- Global team experience – collaborate with talented professionals worldwide.
- Exposure in AI – Opportunity for upscaling in AI technologies and techniques.
- Health insurance & wellness perks – including fitness reimbursements.
- Paid leaves – including parental, maternity, and wedding leaves.
- Annual company retreat – connect, network, and recharge with the team.
- Join us and be part of an innovative, fast-growing company where your work makes a real impact!