Forward Deployed Engineer

In This Role, Your Work Will Involve
Technical Implementation & Integration Build proof-of-concepts and MVPs leveraging both the internal AI tech stack and publicly available AI tools Develop and enhance AI-driven solutions using Python Assist in system integration and deployment on cloud platforms (Azure, AWS) Contribute to the internal knowledge base and engineering playbooks Participate in cross-functional projects with product, engineering, and customer success teams Customer Solution Design, Deployment & Success Assist in Client Engagement and Discovery Shadow Solutions Engineers, participate in customer calls, and help analyze requirements to understand complex business workflows and knowledge-intensive processes Contribute to Solution Design and Prototyping Assist in rapid prototyping of AI solutions using the internal tech stack Enable Deployment and Customer Success Assist in solution implementation, monitoring, and post-deployment optimization, including participation in customer success reviews Drive Documentation and Feedback Loops Create customer documentation, implementation guides, and best practices while collecting and analyzing feedback to inform product improvements Experience Tech/B Preferred Qualification Academic Excellence: Currently pursuing b-tech/m-tech from IIT or equivalent premier institution (CSE, EE, or related) Programming Proficiency: Experience with front-end and back-end technologies,specifically JavaScript and Python AI/ML Knowledge: Course work or projects in machine learning, NLP, or AI fundamentals Experience with generative AI tools (ChatGPT, Claude, GitHub Copilot)for rapid prototyping Cloud Awareness: Basic understanding of cloud platforms (AWS/Azure/GCP) and deployment concepts Interest in finance, fintech, or other knowledge-intensive industries Enthusiasm for generative AI and a willingness to learn and grow within this evolvingspace Understanding of applied AI techniques, ideally within the financial & other sectors What We Offer Exposure to cutting-edge generative AI, context engineering, and knowledge agent technologies Exposure to working with leading clients in the finance industry, solving real-world challenges Exposure to C-level executives and decision-makers at enterprise clients and Needlai A collaborative work environment that values responsibility, curiosity, and growth, Work on live customer projects affecting real business outcomes Contribute to solutions serving leading enterprises in finance and emerging tech sectors Build a portfolio of implemented AI solutions across diverse use cases Selection Criteria Technical Assessment: Python programming, problem-solving, and AI/ML fundamentals System Design: Basic solution architecture for a knowledge-intensive workflow Cultural Fit: Alignment with our values of responsibility, curiosity, and customer obsession To Apply Mail your resume to careers@needlai or the referrer Apply Now