Senior AI/ML Engineer
$160,000.00 - $200,000.00
Apply (opens in a new tab)Senior AI/ML Engineer
Posted 43 days ago
SENIORITY
Lead
SALARY
$160,000.00 - $200,000.00
About the role
- Build complex multi-agent AI agents that are highly scalable
- Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) system
- Engineer and refine prompts to enhance AI performance and output quality
- Deploy and scale AI solutions using AWS (Lambda, cloud services) and modern architectures
- Ensure AI applications align with ethical standards, data privacy, and real-world scalability
- Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face
- Work with current state of the art LLMs and embedding models
- Experience building agentic AI systems
- Experience with debugging traces of LLM calls to identify errors/optimizations
- Experience with building Retrieval-Augmented Generation (RAG) systems
- Engineer and refine prompts to enhance AI performance and output quality
- Knowledge of extracting structured outputs from LLMsExperience using LLM APIs, embedding models, and RAG-based AI architectures
- Strong skills in Python, AI model deployment, and AWS services (Lambda preferred)
- Knowledge of LangChain, Pydantic, and scalable AI workflows
- Proficiency in prompt engineering and optimization techniques
- Some UI/UX experience is a plus
- Minimum 5 years of experience in AI/ML development and data engineering
- Proficiency in programming languages PythonStrong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- Hands-on experience with data engineering tools like Apache Spark, Apache NiFi, Airflow, or similar
- Expertise in handling large-scale datasets and implementing ETL/ELT pipelines
- Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes)
- Knowledge of database technologies (SQL, NoSQL, Data Lakes, Data Warehouses)
- Experience in NLP, Generative AI, or deep learning models
- Proven track record of deploying AI solutions at scale
- Research background in generative AI models
- Ability to integrate code into real world application
- Understanding AI ethics, bias mitigation, and responsible AI principles
- Prior experience in the financial or banking sector is a plus#LI-JJ1 #LI-Onsite
Before you apply
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Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
