AI Engineer
22 hours ago
AI Engineer
Join us in building the next generation of applied AI systems. We're seeking an
AI Engineer
with a minimum of
1+ years proffesional experience
to design and deploy advanced, production-level agentic architectures—transforming large language models, retrieval systems, and evaluation loops into scalable, real-world impact.
Key Responsibilities
- Agentic Systems:
Develop tool-calling, retrieval/memory architectures, feedback and evaluation pipelines, and ensure strong safety frameworks. - LLM Infrastructure:
Manage vLLM/Ollama or third-party APIs, oversee prompt and policy versioning, meet latency and cost targets, and ensure vendor redundancy (OpenAI, Anthropic, OSS). - Data Engineering:
Build data pipelines for ingestion, normalization (tickers, contracts), corporate action handling, time-series databases, and caching layers. - MLOps / LLMOps:
Set up CI/CD for models and prompts; manage offline and live evaluations (RAGAS/DeepEval); establish telemetry, monitoring, and alert systems. - Security & Compliance:
Enforce data privacy, encryption, licensing controls, and lead periodic red-team and compliance checks. - Technical Leadership:
Conduct code reviews, mentor engineers, support hiring, collaborate with Product and Design teams, and uphold high-quality engineering standards.
Qualifications
- 1+ years of experience delivering ML/AI products to production, with at least 2 years in LLM-based systems.
- Strong proficiency in
Python
(typing, testing, optimization) and backend development (
or
Python services
, REST/WebSockets, authentication). - Skilled in
PyTorch
,
LoRA/PEFT
, quantization, and deployment using
vLLM/FastAPI/Triton
or similar frameworks. - Proven experience with RAG/agent pipelines—retrieval, chunking, adaptive token compression (ATC), memory, and evaluation systems.
- Expertise in
Azure
or other cloud environments,
Docker/Kubernetes
, IaC, and observability. - Strong command of ETL, time-series data (Postgres/Timescale/ClickHouse),
Redis
, and streaming architectures.
Preferred Skills
- Fintech experience (Plaid schemas, market data, compliance workflows, SOC-2).
- Knowledge of data-quality frameworks (Great Expectations), experimentation platforms, and feature stores.
- Frontend experience with
React/Tailwind
for rapid prototyping.
Education
- Bachelor's degree in Computer Science, AI, or a related field. Master's or PhD in AI/ML/Data Science is preferred but not mandatory.
Our Technology Stack
Python, PyTorch, vLLM/Ollama, FastAPI, , Postgres/Timescale/ClickHouse, Redis, Docker, Kubernetes, Azure, OpenTelemetry, and evaluation tools such as RAGAS and DeepEval.
What We Offer
- Work on high-impact, frontier AI/ML projects.
- Collaborative and innovative environment with leading AI professionals.
- Access to advanced AI infrastructure and modern development tools.
- Competitive compensation and benefits package.
Benefits
- Comprehensive medical insurance for employee & family, including OPD
- Company provided weekday meals at the workplace
- Fitness allowance up to PKR 5,000/month with proof of active membership
- Annual performance-based salary review (up to 15%)
- Minimum 3 year service commitment from your start date & reimbursement for training
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