Sapsol Technologies Inc Logo

Sapsol Technologies Inc

Tech Lead (AI)

Reposted 10 Days Ago
Be an Early Applicant
In-Office
2 Locations
Senior level
In-Office
2 Locations
Senior level
The Tech Lead will design and develop Python-based backend services for NLP and chatbots, support cloud-native technology transformation, and collaborate with stakeholders.
The summary above was generated by AI

Position Overview

We are seeking a Tech Lead with hands-on experience in Python, Natural Language Processing (NLP) and Chatbot development to support technology initiatives within Wealth Management business.

This role will contribute to modernizing advisor-facing experiences by embedding AI-enabled orchestration into existing workflows and the development of scalable backend services that enable intelligent, conversational platforms. The ideal candidate combines strong backend engineering skills with the ability to work closely with business and global technology stakeholders.


Key Responsibilities

•            Design, develop, and maintain Python-based backend services supporting NLP and chatbot solutions

•            Contribute to technology transformation initiatives, driving innovation and adoption of cloud-native platforms

•            Collaborate with business stakeholders to understand requirements, priorities, and objectives

•            Translate business needs into robust, scalable, and secure technical solutions

•            Act as a local liaison between New York and India technology teams, ensuring effective communication and delivery alignment

•            Build and maintain strong, long-term partnerships with business and technology stakeholders

•            Provide thought leadership on backend, NLP, and conversational AI solutions and identify opportunities where technology can improve business outcomes

•            Support development, testing, deployment, and operational readiness of applications


Required Skills & Experience

•            Full stack development with strong knowledge in Python in a Unix environment.

•            SOA: Webservices (REST/SOAP), XML/JSON Processing, Swagger, Open Spec

•            Experience with Gen AI based applications, LLM, Agentic, RAG and Vector DB

•            Messaging:  IBM MQ/JMS

•            Source Control, Build Packaging: Git, Ivy, Maven/Gradle

•            Object Oriented Analysis and Design, SOLID principles, Clean code, Refactoring, Design patterns

•            Test Automation (Unit Test and/or Functional Testing)

•            Solution Design and Architecture

•            Distributed application design

•            Cloud architectures, Performance Engineering, Scaling

•            Deep familiarity with modern software development and design concepts encompassing a range of languages and platforms.

•            Experience building and consuming RESTful APIs

•            Ability to work effectively in a global, distributed team environment


Good-to-Have Skills

•            Experience in Web Development using modern UI frameworks (Bootstrap or similar)

•            Knowledge of PowerShell or Unix shell scripting

•            Experience with CI/CD pipelines using tools such as:

o            TFS / Azure DevOps

o            Jenkins

o            TeamCity

o            Build and release automation

o            A/B testing frameworks

•            Experience developing cloud-native applications on:

o            AWS, Azure, or OpenShift

•            Familiarity with workflow orchestration tools

•            Understanding of Microservices and Serverless architectures

Similar Jobs

22 Days Ago
In-Office or Remote
United States
Senior level
Senior level
Agency • Information Technology
Lead development of a generative AI proof-of-concept and integrate AI solutions into software workflows. Mentor data engineers, design and implement Python-based generative AI applications, build scalable data pipelines, deploy models/APIs, and translate stakeholder requirements into technical solutions while staying current on AI and data engineering best practices.
Top Skills: AWSAzureGansGCPGptHadoopMatplotlibNumpyPandasPower BIPythonScikit-LearnSeabornSparkSQLTableau
5 Minutes Ago
Remote or Hybrid
45-55 Annually
Entry level
45-55 Annually
Entry level
Agency • Logistics • Real Estate • Virtual Reality • Consulting • Hospitality • Data Privacy
Analyze processes and operational data, gather and document business requirements, validate data, monitor KPIs, prepare reports and dashboards, recommend improvements, and support cross-functional implementation and project tracking.
Top Skills: Google SheetsExcelPower BI
15 Minutes Ago
Remote or Hybrid
United States
60K-74K Annually
Senior level
60K-74K Annually
Senior level
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
Manage order-to-cash processes including validating sales orders, submitting invoices, applying customer payments, maintaining client billing data and tax rules, handling billing inquiries and collections, preparing AR reports, drafting contracts/amendments, and driving process improvements.
Top Skills: AvalaraExcelMicrosoft OutlookMicrosoft WordOracle Netsuite

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account