Tech Lead (AI)

Sapsol Technologies Inc

$120K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of full stack development experience with a focus on Python in Unix environments.
  • Strong knowledge of web services (REST/SOAP), XML/JSON processing.
  • Experience with Gen AI applications, including LLM and Vector DB.
  • Proficient in messaging systems like IBM MQ/JMS.
  • Ability to design and architect scalable, secure technical solutions.
  • Familiarity with cloud architectures and performance engineering.

Responsibilities

  • Design and maintain Python-based backend services for NLP and chatbot solutions.
  • Drive innovation in technology transformation initiatives with cloud-native platforms.
  • Collaborate with business stakeholders to align on requirements and objectives.
  • Translate business needs into secure and scalable technical solutions.
  • Liaise between technology teams in New York and India to ensure effective communication.
  • Establish long-term partnerships with business and technology stakeholders.
  • Provide thought leadership on backend and conversational AI technology to improve business outcomes.

Benefits

  • Opportunity to lead the modernization of advisor-facing experiences.
  • Involvement in cutting-edge AI and cloud-native technology initiatives.
  • Collaboration with global teams, enhancing communication skills and network.
Full Job Description
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

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