Location: Bangalore, India (Hybrid, 3 days a week in office)
Summary
We are looking for a Tech Lead to lead the design and delivery of backend engineering for GenAI-powered capabilities in Cadency, our enterprise-grade financial platform. You will be responsible for building Python-based distributed systems that support features such as Co-pilot, RAG Search, and multi-agent orchestration.
As a hands-on leader, you will work closely with a globally distributed team, including AI subject matter experts, the UK-based Tech Lead, and the India-based PO, to ensure high-quality, testable, and scalable implementations. You will guide the India engineering team across feature development, service integration, and quality assurance processes.
What Youll Do
Lead the engineering design and delivery of GenAI-integrated application features, ensuring scalability, testability, and production readiness in collaboration with product and architecture stakeholders
Build and maintain Python-based asynchronous services and APIs that enable prompt orchestration, retrieval-augmented generation (RAG), and multi-agent workflows
Collaborate with AI subject matter experts to integrate LLM workflows into application services and infrastructure
Align with the UK Tech Lead on system architecture and cross-team engineering plans
Work closely with QA engineers to define, implement, and track robust test coverage and automation
Support CI/CD and DevOps integration for deployment pipelines, observability, and environment management
Participate in design reviews, sprint planning, backlog refinement, and delivery tracking
Lead code reviews and promote adoption of engineering best practices in performance, security, and maintainability
Mentor and support engineers in the India delivery team to ensure aligned execution and unblock issues quickly
Represent India engineering delivery in global planning and collaboration forums
Who You Are
Bachelors degree in Computer Science, Engineering, or related field.
8+ years of backend engineering experience, including 2+ years leading engineering delivery or teams
Deep expertise in Python, with strong knowledge of async programming (async/await)
Proven track record of designing and delivering distributed systems in production environments
Proficient in building and consuming REST APIs
Strong experience with SQL, data modeling, and integration
Skilled in writing and maintaining automated tests, ideally using Pytest
Experienced in implementing and supporting application observability, including logging, metrics, and tracing
Familiar with CI/CD pipelines, Docker, and Kubernetes for deploying backend services
Excellent communication skills and a strong ability to lead distributed, cross-functional collaboration
Focused on quality, reliability, and building scalable solutions.
Nice to Have
Exposure to LLM integration patterns, RAG pipelines, or agentic workflows
Familiarity with LangChain or related LLM orchestration frameworks
Familiarity with ChromaDB or other vector databases
Experience collaborating on AI/ML-driven features in product teams
Working knowledge of Angular or frontend frameworks for integration-level collaboration
Background in enterprise SaaS, automation platforms, or high-compliance product domains
What You’ll Learn & Gain
Ownership of backend engineering for AI-powered enterprise features
Collaboration with globally distributed teams and deep exposure to LLM-based product design
Opportunity to lead the India delivery of Co-pilot, RAG search, and agentic automation features
Influence over engineering practices, quality strategy, and infrastructure design within a fast-evolving innovation team
Experience delivering real-world GenAI capabilities at scale to global finance organizations
If you are a Python-focused engineering leader with experience in distributed systems and a passion for delivering high-impact AI capabilities, we encourage you to apply.
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