Job Closed
This listing is no longer active.
Capco, a Wipro company, is a management & technology consultancy dedicated to the financial services & energy industries
Tech Lead, Backend
Location
Brazil
Posted
141 days ago
Salary
0
Seniority
Senior
Job Description
Tech Lead, Backend
Capco
• Lead a small team covering frontend, backend and QA, including sprint execution, technical direction, code reviews and mentorship. • Own the agentic orchestration layer in Python (LangChain or similar): routing, tool-calling, state/memory, guardrails and prompt/configuration management. • Build and maintain backend services/APIs that connect UI → orchestration layer → graph database (queried via SPARQL) → retrieval (Graph RAG) → LLM. • Implement Graph RAG patterns: entity linking, context assembly, grounding/citations and response formatting for consumption in the UI. • Deliver reporting features in the UI based on the agentic framework, such as: conversation summaries, task results and traceability to evidence in the graph, latency, token/cost signals, retrieval hits and error rates. • Partner with ontology/graph engineers to ensure correct query patterns, performance tuning and schema alignment. • Establish engineering standards: structured logging, telemetry, exception handling, secure secrets management and performance optimization. • Ensure MVP quality: testing strategy, automated tests where feasible (unit/integration) and release readiness. • Responsible for containerized deployment: packaging services in Docker, supporting CI/CD, promoting between environments and implementing rollback practices in Azure.
Job Requirements
- 6+ years of software engineering experience, with at least 2+ years in a technical lead role.
- Strong experience in Python developing production services/APIs (preferably FastAPI/Flask).
- Hands-on experience with LLM/agent frameworks (preferably LangChain) and tool orchestration patterns.
- Experience integrating with RDF/knowledge graphs and executing SPARQL (directly or via graph services).
- Experience delivering modern web applications (preferably React) and leading frontend-backend collaboration.
- Practical experience with Docker packaging and container-based deployment workflows.
- Experience working in agile teams (Scrum/Kanban), collaborating with product and architecture and delivering iteratively.
Benefits
- At Capco we promote an inclusive culture. We value diversity in all its forms.
- We offer various inclusion and social-responsibility initiatives through internal committees run by our employee community.
Related Guides
Related Job Pages
More Backend Engineer Jobs
Senior Full Stack Software Engineer, Kubernetes, Python, React, Go
RacknerDevSecOps and AI from Cloud to Mission Edge | Kubernetes Partner | Multicloud | 8(a) | HUBZone
• Design and develop modern full-stack applications and distributed systems • Build backend services using Python (including frameworks such as FastAPI) and Go • Develop frontend interfaces using React and modern JavaScript frameworks • Deploy and operate applications in containerized and Kubernetes-based environments • Rapidly prototype and validate new platform capabilities • Contribute to architecture and system design discussions • Build scalable APIs and services supporting evolving platform needs • Use modern engineering tooling, including AI-assisted development tools, to accelerate development • Collaborate with engineers and technical leadership to move concepts into production-quality systems
Full-Stack Developer, Python, React, AI
Huzzle.comThe human intelligence platform for training and evaluating AI
• Develop and maintain backend services using **Python and FastAPI** • Build and optimize APIs that power AI-driven travel planning features • Collaborate with engineers through **high-quality GitHub pull requests and code reviews** • Contribute to **sprint planning and agile development cycles** • Work on frontend components using **React** • Integrate backend systems with **MongoDB databases and AWS infrastructure** • Ensure code follows **clean architecture principles and coding standards** • Improve system performance, reliability, and scalability • Collaborate with AI and product teams to implement new platform capabilities
Compiler Engineer, Backend GPU
NVIDIANVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us. If you're creative and autonomous, we want to hear from you! Applications for this job will be accepted at least until July 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
• Guide the design and implementation of a new LLVM based backend JIT compiler targeting NVIDIA GPUs • Design and develop new compiler passes and optimizations required to meet the high performance and low compilation time requirements of the compiler • Work with global compiler, hardware and application teams to oversee improvements and problem resolutions • Apply and adapt the latest compiler technologies to produce premier, robust, supportable compiler and tools • Get a chance to influence and work on new GPU architectures
Senior Java Acceleration Engineer, Vector Search, Database Acceleration
NVIDIANVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us. If you're creative and autonomous, we want to hear from you! Applications for this job will be accepted at least until July 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
• Analyze, design, and implement optimized GPU algorithms for large-scale vector search, databases, and machine learning. • Expand and improve the integration of NVIDIA cuVS into relevant high-level vector search libraries and vector databases. • Drive performance analysis, benchmarking, and troubleshooting of associated libraries. • Collaborate with a multi-functional team to understand requirements and implement or improve solutions
