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Capco, a Wipro company, is seeking a software engineer with 5+ years of experience in AI/LLM systems to design and orchestrate multi-agent architectures. The role emphasizes strong OOP and dynamic programming, with optional exposure to Pipecat, LangChain, and ChromaDB for building advanced AI pipelines.
The candidate will implement RAG pipelines, memory management, and observability using Langfuse, while ensuring security, performance, and compliance in production systems.
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients acrossbanking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
We believe that diversity of people and perspective gives us a competitive advantage.
Experience - 5 to 10
Experience: around 5 years in software engineering, with recent hands-on experience in AI/LLM systems, strong OOP and dynamic programming skills
Stack:
Optional: Pipecat, LangChain, ChromaDB
Scope:
Design and orchestrate multi-agent systems using AutoGen & Pydantic AI
Implement RAG pipelines, memory management, and observability with Langfuse
Integrate security, performance, and quality gates into production systems
Prompt & Context engineering incl. memory management.
Guardrails:
Add role-based access control (RBAC) for agent actions
Validate tool invocation safety and restrict sensitive operations
Apply content filtering for PII and compliance-sensitive data
Security & Compliance: OAuth2/OIDC, JWT, secrets management (Azure Key Vault/HashiCorp Vault), PII redaction
Performance: Async workers (Celery/RQ), batching, Redis caching strategies
Observability: OpenTelemetry integration; dashboards for latency, throughput, error rates, token/cost