Responsibilities

Write and maintain production-quality code across services, APIs, workflow engines, and AI-enabled capabilities.

Lead features and technical workstreams from design through deployment and production support.

Design and evolve scalable microservices, integrations, APIs, and event-driven workflows.

Build agentic AI workflows that connect LLMs, tools, APIs, data sources, business processes, and human-in-the-loop reviews.

Implement orchestration, context management, tool access, memory, permissions, workflow state, grounding, validation, guardrails, and evaluation practices.

Integrate AI workflows with enterprise data sources, business applications, queues, and operational systems.

Improve observability, monitoring, feedback loops, and quality checks for production AI behavior.

Guide architecture decisions and technical tradeoffs involving reliability, scalability, security, cost, and maintainability.

Mentor engineers through pairing, code reviews, design discussions, and implementation planning.

Create reusable engineering patterns, prompts, workflows, coding practices, and automation that improve developer productivity.

Modernize legacy components incrementally and support safe deployments, testing, and production operations.

Requirements

At least 7 years of qualified software development experience.

Proven experience leading complex feature, service, or technical workstream delivery and mentoring engineers.

Hands-on experience designing, building, and operating production software systems.





Experience using AI-assisted development tools in engineering workflows and building LLM-enabled applications, agentic workflows, automation systems, or AI-integrated products.

Strong proficiency in C# and .NET, including ASP.NET Core and modern .NET development.

Experience with a frontend framework such as React or Angular.

Strong understanding of RESTful API design, distributed systems, microservices, integration services, and event-driven workflows.

Experience with LLM workflow orchestration and agentic AI patterns, including tool or function calling, context management, structured outputs, and workflow state.

Experience integrating AI systems with databases, APIs, queues, and enterprise applications.

Hands-on experience with relational databases such as SQL Server or PostgreSQL, plus working knowledge of NoSQL stores, caching, and performance optimization.

Experience with Docker, Kubernetes or another container orchestration platform, and cloud deployment practices in Azure or AWS.

Proficiency with Git, pull requests, code reviews, branching strategies, and modern CI/CD workflows.

Understanding of automated testing, observability, secure coding, and production support practices.

Bachelor’s degree in computer science or equivalent practical experience.

Preferred experience includes Python, Java, TypeScript, message queues, event streaming, workflow orchestration platforms, vector databases, retrieval-augmented generation, knowledge graphs, semantic search, AI evaluation harnesses, prompt/version management, safety checks, governance workflows, and high-throughput or operationally critical SaaS systems.

📌 Software Team Lead - Front End (Bengaluru)
🏢 Solera
📍 Bengaluru