▷ [Urgent Search] Lead AI Full Stack Engineer - WFH

4 days ago


Indore, India AgileEngine Full time

🔥 AI Full Stack Team Lead- WFH THIS IS FULLY REMOTE WORKING OPPORTUNITY We someone who can join in less than 15 days . If you are interested and fulfill the below mentioned criteria then please share below information below. 1. EMAIL ID 2. Years of relevant experience 3. CCTC/ECTC 4. Notice period 5. Updated resume mentioning all the listed skills. Also, experience in financial domain is a huge plus so if you have that experience then mention that as well in the resume Experience Level: 7–12 yrs Location: Remote, any city in India Must Haves: skills for the Team Lead: - At least a 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. Main Tasks: - A modular, AI-enabled platform supporting end-to-end document and data workflows - .Streamlines ingestion, extraction, and validation of fund and asset-level document - s.Empowers clients to self-onboard, monitor data completeness, and configure delivery pipeline - sIntegrates LLM/GenAI features for automation, prioritization, and explainabilit y Nice to Hav - e Knowledge of financial ind - ustryKnowledge of Private Assets and ecosyste ms



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