Accountabilities:
The role focuses on designing, developing, and deploying AI-powered systems that improve financial products, internal operations, and customer experiences. You will be responsible for turning business challenges into scalable AI solutions while ensuring reliability, quality, and measurable outcomes.
Build AI-powered workflows, assistants, agents, and automation systems for real-world business applications.
Apply AI solutions across areas such as customer support, CRM, onboarding, payments, operations, and internal tools.
Partner with product and engineering teams to transform manual processes into scalable AI-driven workflows.
Develop integrations between LLMs, internal data sources, APIs, documents, knowledge bases, and business systems.
Design evaluation frameworks, monitoring processes, and fallback strategies to ensure AI outputs are accurate, safe, and reliable.
Prototype quickly, validate solutions with users and stakeholders, and productionize successful initiatives.
Improve operational speed, consistency, and quality by identifying opportunities where AI can deliver meaningful value.
Balance AI capabilities with appropriate human review and traditional engineering approaches when needed.
Contribute to building practical AI systems focused on measurable business impact.
Requirements:
The ideal candidate is a strong software engineer with hands-on experience building AI applications and the ability to connect emerging technologies with real operational needs.
Strong software engineering foundation with experience in backend development, preferably using Python.
Hands-on experience building applications with LLM APIs, AI agents, Retrieval-Augmented Generation (RAG), workflow automation, or related AI technologies.
Experience integrating AI systems with products, databases, APIs, and operational workflows.
Understanding of AI evaluation principles, including accuracy, latency, cost optimization, privacy, and failure management.
Ability to identify appropriate use cases for AI while understanding its limitations.
Experience building, testing, and deploying practical AI solutions in production environments.
Comfortable working with complex, unstructured, and real-world business data.
Strong problem-solving skills and ability to move quickly from prototype to scalable solution.
Experience in fintech, insurance, customer support automation, CRM, or operations automation is a strong advantage.
Strong English communication skills, both written and verbal, for collaboration with global teams.
Ability to work effectively with product, engineering, and business stakeholders.
Benefits:
Remote work opportunity for candidates based in India.
Opportunity to build impactful AI products within the financial technology space.
Fast-paced environment focused on innovation and practical AI adoption.
Collaboration with a global, diverse team across multiple countries.
Opportunity to work on next-generation AI systems with real-world user impact.
High ownership and autonomy in designing and implementing solutions.
Career growth opportunities in a rapidly evolving technology environment.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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