AI Full Stack Team Lead ID44464

Department: Engineering
Specialization: Data Scientist
Experience: Lead
Locations: India
Client: MSCI
Engineering technical flow: Data Scientist Generative AI
Non-engineering technical flow: none
  • What you will do

  • Lead the design, development, and implementation of a modular, AI-driven data extraction platform;
  • Make key decisions around system design, model orchestration, and integration of LLM and GenAI capabilities into production workflows;
  • AI cross functional development across the complete AI projects life cycle;
  • Architect and deploy AI/ML models for document understanding, text extraction, and validation workflows using Python and cloud-native tooling;
  • Manage and mentor a cross-functional team of software engineers, AI developers, and data engineers;
  • Foster a collaborative, delivery-focused engineering culture with strong attention to quality, maintainability, and innovation;
  • Partner with product, business and operations teams to translate requirements into technical deliverables;
  • Communicate technical concepts, timelines, and trade-offs clearly to both technical and non-technical stakeholders;
  • Drive alignment between client needs, product roadmap, and technical execution;
  • Evaluate and adopt emerging AI technologies, frameworks, and LLM orchestration tools;
  • Drive experimentation with GenAI capabilities to enhance automation, explainability, and user experience.
  • Must haves

  • 7+ years of experience in software development;
  • Bachelor’s or master’s degree in computer science, mathematics, engineering, or a related field;
  • Demonstrated ability to lead a team;
  • Have led project teams in the past under extremely fast-paced development;
  • Ability to manage and communicate effectively with stakeholders;
  • Proactive communication with objective approach towards project deliverables;
  • Experience in finding patterns in data and creating statistical models, data exploration, data visualization, and data mining;
  • Experience in developing AI and ML solutions and delivering them to production;
  • Very good hands-on working experience in Python and NLP;
  • Prior experience or projects in LLMs, LangChain, LangGraph, and Agentic AI is a plus;
  • Familiarity with text processing;
  • Understanding of good software development practices: Test-Driven Development (TDD), refactoring, pair-programming, solid design;
  • Self-motivated, proactive, and demonstrating an exceptional drive towards delivery;
  • Experience with cloud-based solutions, especially on Azure or Google Cloud Platform (GCP);
  • Knowledge of DevOps practices and tools for continuous integration and deployment;
  • Upper-intermediate English level.
  • Nice to haves

  • Knowledge of financial industry;
  • Knowledge of Private Assets and ecosystems.

AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.

If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place — guaranteed! 🙂

About the project

The benefits of joining us

Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps

Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities

A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands

Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Your AgileEngine journey starts here

1

2 min

Tell us about yourself

2

2 sec

Confirm requirements

3

30 - 60 min

Pass a short test

4

5 min

Record a short video

→ Introduce yourself on a video, instead of waiting for an interview

5

Live interview

Ace the technical interview with our team

→ Schedule a call yourself right away after your video is reviewed

6

Live interview

Final interview with your team

→ Get to know the team you will be working with

7

Get an offer

As quick as possible

Our geography

UTC-5
WASHINGTON DC USA
UTC-5
MIAMI USA
UTC-6
MEXICOMexico
UTC-5
ColombiaColombia
UTC-3
BrazilBrazil
UTC-3
ArgentinaArgentina
UTC+2
UkraineEurope
UTC+1
PolandEurope
UTC+0
PortugalPortugal
UTC+5:30
IndiaIndia

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