Artificial Intelligence Engineer

2 weeks ago

Islamabad, Islamabad, Pakistan INEXOR Full time 1,200,000 - 3,600,000 per year

Are you passionate about cutting-edge AI technologies and ready to shape the future of artificial intelligence? Join our team as an Lead Artificial Intelligence AI Engineer, where you'll work on transformative projects in the field of machine learning and neural networks.

Qualifications:

Educational Background

  • Bachelor's degree in Computer Science, Artificial Intelligence, or a related field.
  • Master's or Ph.D. in Artificial Intelligence, Machine Learning, or Data Science is highly desirable.

You will

  • Architect and ship
    agentic AI features
    : tool-calling, retrieval/memory, evaluation loops, guardrails.
  • Own
    LLM infrastructure
    : vLLM/Ollama or hosted APIs; prompt & policy versioning; latency/cost SLAs; vendor failover (OpenAI/Anthropic/open-source).
  • Familiar with:
    Python Ollama Agentic Framework docker and kurbanatees
  • Build
    data pipelines
    : ingestion, normalization (tickers/contracts), corp-actions, time-series storage, caching.
  • Drive
    MLOps/LLMOps
    : CI/CD for prompts and models, offline/online evals (RAGAS/DeepEval-style), telemetry with OpenTelemetry, dashboards/alerts.
  • Enforce
    security & compliance
    : PII minimization, encryption at rest/in transit, licensing/redistribution rules, red-team tests.
  • Lead the team: code reviews, hiring, mentoring, roadmap with Product/Design; set quality bars and documentation habits.

Minimum qualifications

  • 5–8+ years building ML/AI
    in production
    ; 2+ years shipping
    LLM-backed
    products.
  • Strong
    Python
    (typing, tests, perf) and solid
    backend
    (Node/Express or Python services, REST/WebSockets, auth).
  • PyTorch
    expertise; comfort with LoRA/PEFT, quantization; experience serving models (vLLM/FastAPI/Triton or equivalent).
  • Proven
    RAG/agent
    systems: retrieval, chunking/ATC, memory strategies, tool schemas, evaluation harnesses.
  • Cloud
    (Azure) with containers/K8s, IaC, observability; hands-on with
    cost/perf
    tuning for LLM workloads.
  • Data plumbing:
    ETL, time-series (Postgres/Timescale/ClickHouse), caching (Redis), batch + streaming jobs.

Nice to have

  • Fintech exposure (Plaid schema, fundamentals/quotes/macro), compliance workflows, SOC-2.
  • Experience with data-quality frameworks (Great Expectations), feature stores, or experimentation platforms.
  • Frontend fluency (React/Tailwind) for rapid prototyping with Design.

How to Apply:

If you're ready to bring your expertise to a team pushing the boundaries of AI innovation, apply now Include your resume, a cover letter, and any relevant project or research links.

Let's build the future of AI together

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