Python Developer || Jersey City, NJ (Onsite)

Overview

On Site
$DOE
Contract - W2
Contract - Independent

Skills

Python
GenAI
OpenAI
CLOUD
LLM orchestration frameworks

Job Details

Job Role: Python Developer

Location: Jersey City, NJ (Onsite)

Hiring Mode- Contract to Hire

Job Description-

  • Proficiency (3 plus years) in Python and experience with LLM orchestration frameworks (LangChain, Semantic Kernel, or equivalent).
  • Hands-on experience developing prompt chains or generative workflows using OpenAI or similar APIs.
  • Understanding of AI governance, model uncertainty, and prompt versioning best practices.

Must Have:

  • GenAI, OpenAI
  • Cloud
  • Python
  • Workflow

Nice to have:

  • LLM orchestration frameworks (LangChain, Semantic Kernel, or equivalent)
  • Knowledge of Data Integration

Job Description:

  • Expert in at least one technology and design technique as well as experience working across large environments with multiple operating systems/infrastructure for large-scale programs (e.g., Expert Engineers), starting to be firm-wide resources working on projects across Client
  • Is multi-skilled with expertise acrossthe software development lifecycle and toolset
  • May be recognized as a leader in Agile and cultivating teams working in Agile frameworks
  • Sought out as a coach for at least one technical skill
  • Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, resiliency, security
  • Stays abreast of cutting-edge technologies/trends and uses experience to influence application of those technologies/trends to support the business; may give speeches and outside the firm writes articles

Roles and Responsibilities:

  • Develop and maintain AI workflows using Python and orchestration frameworks (e.g., LangChain or similar) to automate generation tasks across multiple domains.
  • Design and refine prompts for large language models, optimizing for accuracy, tone, and consistency across use cases.
  • Integrate LLMs with existing systems and data sources within secure, cloud-hosted environments (e.g., AWS or equivalent).
  • Implement quality controls and human-in-the-loop mechanisms to ensure compliance and reproducibility of results.
  • Document processes and frameworks, supporting governance, version control, and knowledge transfer across teams.
  • Additional Skills:
  • Proficiency (3 plus years) in Python and experience with LLM orchestration frameworks (LangChain, Semantic Kernel, or equivalent).
  • Hands-on experience developing prompt chains or generative workflows using OpenAI or similar APIs.
  • Familiarity with cloud environments (AWS, Azure, or Google Cloud Platform) and enterprise data integration practices.
  • Understanding of AI governance, model uncertainty, and prompt versioning best practices.
  • Strong communication and documentation skills, especially for cross-functional collaboration with product, risk, and compliance teams

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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