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Gigster

Python Developer

Sorry, this job was removed at 12:16 p.m. (EST) on Thursday, Jan 22, 2026
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Do you want to work on cutting-edge projects with the world’s best IT engineers? Do you wish you could control which projects to work on and choose your own pay rate? Are you interested in the future of work and how the cloud will form teams? If so - the Gigster Talent Network is for you.

Our clients rely on our Network for two main areas, Software Development and Cloud Services. In some cases, they need help building great new products, in others they want our expertise in migrating, maintaining, and optimizing their cloud solutions.

At Gigster, whether working with entrepreneurs to realize ‘the next great vision’ or with Fortune 500 companies to deliver a big product launch, we build really cool enterprise software on cutting-edge technology.

Our Client

Our client builds AI agents that automate complex reasoning tasks in the legal industry (think time tracking and billing analysis, case data extraction and correlation analysis, etc.) Their team of data scientists and full-stack developers excels at the rapid development of accurate, explainable, and repeatable AI solutions. Right now, they are seeking a Python Developer to join their team in building cutting-edge AI solutions. You'll work on challenging problems at the intersection of large language models, knowledge engineering, and enterprise software development. This role offers the opportunity to work with emerging AI technologies while delivering practical value to industry clients.

About You

You're a hands-on developer who thrives on solving complex technical challenges and navigating ambiguity. You have strong software engineering fundamentals and experience building production-grade systems. You're excited about the possibilities of AI but grounded in the practical realities of building reliable software. You excel at asking hard questions to uncover true customer challenges and can translate complex requirements into intuitive solutions using simple, composable design patterns. While comfortable working independently, you know when to seek input from the team and how to drive clarity in uncertain situations.

--> This is a full-time long-term engagement <--

Core Technical Requirements
  • Strong Python development experience with modern frameworks (FastAPI, Pydantic)
  • Experience with LLM technologies (OpenAI, Anthropic, Llama, etc.) and LLM orchestration frameworks (LangChain, LlamaIndex)
  • Proven track record building RAG pipelines, text extraction solutions, and agentic systems
  • Proficiency with vector databases (Pinecone, Pgvector, Chroma, etc.)
  • Experience with relational and NoSQL databases
  • Knowledge of embedding models and semantic search
  • Understanding of prompt engineering
  • Experience with CI/CD and associated tooling (GitHub Actions)
You Stand Out If You
  • Have experience with Frontend development experience (React)
  • Have experience building and running applications in AWS
  • Know LLM evaluation metrics
  • Have experience with Docker and container orchestration
  • Are familiar with MLOps practices and tools
  • Have a background in healthcare or legal tech domains
What You Will Do
  • Design and implement end-to-end AI solutions for enterprise clients, from rapid prototyping to production deployment
  • Lead exploratory data analysis and extraction projects, finding creative ways to unlock value from structured and unstructured data
  • Build robust RAG pipelines that combine multiple data sources and knowledge bases
  • Experiment with different LLM models and approaches to optimize for accuracy, cost, and performance
  • Drive technical discovery through rapid prototyping and proof-of-concept development
  • Work directly with clients to understand their core challenges and design intuitive solutions
  • Contribute to our internal knowledge base and engineering best practices
This Team Values
  • Enthusiasm and a problem-solving mindset
  • Simple, composable design patterns over cleverness and complexity
  • Embracing continuous learning and experimentation
  • Taking security and privacy seriously
Our Recruitment Process
  • Recruiter Screen (30 mins)
  • Technical Interview (30 mins)
  • Hiring Manager Interview (30 mins)
  • Take Home Assessment (40 mins)
  • Client Technical Interview (40 mins)
  • Cultural Fit Call (15 mins)

We strive to move efficiently from step to step so that the recruitment process can be as fast as possible.


The Gigster Talent Network is a highly curated set of some of the best software developers in the world. It’s not easy to become part of this select network, but when you do, you will work amongst the best in Silicon Valley and around the world.
 
Our model is unique in the software development industry. We do the hard work of finding international clients and scoping their projects, and you get to choose from a large variety of ‘Gigs’. You can choose Gigs that fit your interests—from part-time and short-term projects to full-time long-term no-end-date openings for our amazing clients! You will be eligible for diverse positions that will help you take your career to the next level.
 
All of our projects are for top-tier international companies and are delivered with the highest quality. Projects range in both technologies and industries so you will have the opportunity to be considered for amazing cutting-edge products that make a difference! 
 
Are you ready to join the club?

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

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