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Python AI Engineer
Job Description
Project Description:
We are seeking a skilled AI Agentic Developer in implementing solutions within financial institutions.
You'll work inside a Tier‑1 wealth management bank in the Agentic Products Team. Our team leverages the latest AI technologies to deliver value-driven solutions and agents. As an AI Engineer, you'll play a key role in driving innovation and shaping the future of agents.
We're a team that values collaboration, creativity, and continuous learning.
Responsibilities:
- Develop production-grade LLM and agentic capabilities, covering prompt and model configuration, evaluation, guardrails and monitoring.
- Integrate AI services with enterprise platforms and support approval, documentation and operational readiness.
- Problem-solving ability with logical reasoning.
- Design and develop reusable agentic AI workflows with LangGraph and LLMs.
- Craft and refine clear, effective prompts for diverse tasks.
- Use Git for version control and GitLab CI/CD to automate build, test, and deployment pipelines.
Mandatory Skills Description:
- Strong proficiency in Python 4+ years
- Practical experience with Git and GitLab CI/CD in a team environment.
- 3+ years of hands-on experience in agentic AI system design and orchestration.
- Good prompt engineering skills for LLM control and output reliability
- Solid understanding of Model Garden
- Able to understand the business requirements and convert into tech specifications.
- Ready to work in a rapidly changing environment.
More Info
About Company
Skills:
Gcp, Azure, Python, Sql, AWS, Jupyter Notebooks, NoSQL databases
Skills:
Data Science, Python, Agentic Workflows using LangChain-based agents, LangGraph, Statistical Modeling, Transformer architecture, Fine-tuning techniques for LLMs
Skills:
Apis, Sql, Microservices, Tensorflow, Pytorch, MLops, Docker, Python, Kubernetes, LangChain, CI CD Pipelines, Generative AI, LLMs, Scikit-learn, Cloud AI Services, Semantic Kernel, Vector Databases, NoSQL Databases, Large-Scale Data Processing, Azure AI, Google Cloud AI services
Skills:
Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Machine Learning, Api Development, Deep Learning, Tensorflow, Nlp, Pytorch, Elasticsearch, Flask, FastAPI, Keras, Restful Apis, Python, LangChain, Scikit-learn, Pinecone, LLM techniques, LangGraph, FAISS, Weaviate, Prompt Engineering
Skills:
manufacturing processes , Numpy, Pandas, Python, Scipy, CAD, Heat Transfer, Cae, Thermodynamics, Vibration, Fea, Cfd, computational mechanics, Solid Mechanics, Machine Elements, Mechanical Design, Thermal Systems, Dynamics, Fluid Mechanics