Senior AI / LLM Engineer (GenAI Systems)

BlueGeko

Lahore , Pakistan

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Posted 14 hours ago 5 views Report Job

$. 2,200 - 2,200/Month

We are building a next-generation AI infrastructure platform focused on LLMs, intelligent matching, and scalable AI systems.

We are looking for an experienced Senior AI / LLM Engineer to design, build, and deploy production-ready AI solutions across models, infrastructure, and applications.

You will take ownership of core AI development while leading and mentoring a small team of Junior AI Engineers.

Tech Stack & Skills:

You don't need everything — strong expertise in a few areas matters most.

Software Engineering: Python, CI/CD, Git, containers, APIs, databases.
Machine Learning: PyTorch, TensorFlow, Keras.
LLMs & GenAI: RAG, LangChain, vector databases, embeddings.
LLM Integration: Function calling, structured outputs, prompt engineering.

What We're Looking For:

Proven experience building and deploying LLM or ML systems in production.
Strong understanding of modern AI architectures and transformer-based models.
Ability to work across models, infrastructure, and product development.
Strong problem-solving skills and the ability to deliver real solutions.
Ability to lead, mentor, and review the work of junior engineers.

Nice to Have (Not Required):

NLP: NER, classification, information extraction, semantic analysis.
MLOps & Inference: CUDA, vLLM, Ollama, Triton, DeepSpeed, FSDP.
Model Training: Fine-tuning (SFT, DPO), dataset preparation and curation.
Education: Master's or PhD in AI, ML, or a related field.

Career Growth & Opportunities:

Bring your own ideas and directly influence technical decisions.
Take ownership of core AI systems and architecture.
Opportunity to grow into a larger technical leadership role as the company scales.
Regular performance and salary reviews based on results and contributions.

We want a hands-on builder and systems thinker who can take ownership, move quickly, and deliver production-ready AI solutions in a growing technology company.

Responsibilities

Design, build, and scale end-to-end AI pipelines from data ingestion to production deployment.
Develop and deploy reliable, scalable LLM-powered applications and systems.
Optimize model inference speed, performance, and infrastructure efficiency.
Architect RAG systems, AI agent workflows, and structured output pipelines.
Improve prompt engineering, NLP workflows, and data quality.
Lead and manage a small team of Junior AI Engineers, providing technical guidance, code reviews, and mentorship.
Integrate LLM frameworks, vector databases, embeddings, and external APIs.
Apply software engineering best practices, including CI/CD, Git, containerization, and testing.
Collaborate with product and engineering teams to deliver practical AI solutions.
Research and evaluate emerging AI technologies, frameworks, and model architectures.
Identify technical improvements and independently drive AI development initiatives.