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Python AI Developer

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Onsite

Python AI Developer

Kaizen Technologies

Python AI Developer

Skills

Google Cloud PlatformSQL QueriesData EngineeringDockerDjangoFlaskPythonJavaPyTorchTensorFlowDatabricksData AnalysisMachine LearningAIAWSKubernetesFastAPIAzure

4 days ago

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Important information


Contract type:

Permanent

Location:

New York, NY, USA

Work mode:

Onsite

Published on:

16 October 2026

What they need


(1) Role: Python AI Developer

Location: NYC, NY/Irving, TX (Final in-person Interview mandatory)

Banking/Finance Domain is Mandatory

Fulltime

JD

- 8 years of software development experience, with strong hands-on experience in Python and relevant experience in AI/ML or Generative AI.

  • Strong programming experience with Python, REST APIs, JSON, and object-oriented programming.

  • Hands-on experience developing Generative AI applications using LLMs.

  • Strong understanding of LLMs, prompt engineering, embeddings, vector databases, RAG, and context management.

  • Experience with LangChain, LlamaIndex, Semantic Kernel, or equivalent LLM orchestration frameworks.

  • Experience with AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, or equivalent.

  • Experience with vector databases such as Pinecone, Azure AI Search, FAISS, Weaviate, or Chroma.

  • Experience working with Azure/AWS/GCP AI and cloud services, preferably Azure OpenAI in an enterprise environment.

  • Good understanding of ML lifecycle, model evaluation, AI/LLM evaluation techniques, and MLOps concepts.

  • Experience with SQL, databases, data processing, and integration with enterprise data sources.

  • Understanding of AI security, responsible AI, data privacy, and governance.

  • Familiarity with Git, CI/CD, Docker, Kubernetes, and Agile/Scrum practices.

  • Strong analytical, problem-solving, communication, and collaboration skills.

  • Experience in Banking services or other regulated environments is a plus

(2) Role: Python GenAI Developer

Location: Tampa, FL/Irving, TX (Local Profiles Preferred)

Fulltime

In person Interview

  1. Databricks Certified Generative AI Engineer Associate

  2. Google Cloud Professional Machine Learning Engineer

  3. NVIDIA Certified Professional – Agentic AI (NCP-AAI)

  4. AWS Certified AI Practitioner

We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging modern technology stacks and Generative AI capabilities. You will collaborate closely with cross-functional teams to deliver innovative solutions that meet client requirements, timelines, and budgets.

Key Responsibilities:

  • Design and implement scalable software solutions using modern technology stacks. In-depth knowledge and hands-on experience with Python frameworks like Django, Flask, FastAPI, or others depending on the specialization.

  • Develop and integrate APIs for Gen AI orchestration and data analytics workflows.

  • Integrate popular Large Language Models (LLMs) such as OpenAI GPT, PaLM 2, Dolly, Claude 2, Cohere, etc., via API endpoints.

  • Apply prompt engineering techniques and implement LLM agents (e.g., LangChain).

  • Work with vector databases like Pinecone, Chroma, or FAISS for advanced AI solutions.

  • Conduct rapid experiments to evaluate new LLM versions and features.

  • Collaborate with Gen AI leads and other team members to deliver high-quality solutions.

  • Perform basic data engineering tasks to load structured and unstructured data from source systems to target data stores.

  • Debug and troubleshoot software or design issues effectively.

  • Required Qualifications:

Minimum 7+ years of experience in software engineering or data analytics roles.

  • Strong programming skills in Python (mandatory)or Java

  • Proven experience in building API-based scalable solutions.

  • Hands-on experience with LLM integration and prompt engineering.

  • Familiarity with modern AI frameworks and orchestration tools.

  • Preferred Skills:

  • Exposure to Gen AI platforms and advanced AI model experimentation.

  • Strong understanding of data engineering principles.

  • Excellent communication and project management skills.

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