Posted on: 02/12/2025
About the job :
About us :
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
If youre looking for a place to grow, make an impact, and work with people who care, wed love to meet you!
About the Role :
As the AI Full Stack Team Lead, youll drive the architecture and delivery of an AI-powered self-service data extraction platform that transforms how clients manage and validate complex financial documents. Leading a cross-functional team, youll shape the integration of GenAI, LLMs, and cloud technologies to build scalable, intelligent solutions. This role offers a unique opportunity to influence product direction, mentor top talent, and pioneer innovation in AI-driven automation and data transparency
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
- Bachelors or masters 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.
Perks and Benefits :
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.
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