Senior Software Engineer

Your Job Koch Capabilities is seeking a Senior Software Engineer to design, build, and support secure, scalable data, software, and AI-enabled solutions that create measurable business value. In this role, you will combine hands-on engineering expertise with solution architecture capabilities to deliver reusable platforms, products, and AI-powered solutions across Koch.

The ideal candidate is a technically strong engineer who enjoys solving complex business problems, influencing technical direction, leveraging emerging AI technologies, and mentoring others while delivering high-quality solutions.

Our Team KTDS develops reusable data products, semantic layers, ontologies, and AI-ready capabilities that help teams make better decisions, accelerate work, and unlock new opportunities across Koch. We combine business knowledge, modern engineering practices, and AI-enabled delivery approaches to build scalable solutions that drive long-term value.

This role is based in the Koch Capabilities India office in Bengaluru and requires an in-office presence with flexibility.

What You Will Do

• Design, build, and support AI, data, and software solutions including data pipelines, APIs, applications, automations, and AI-enabled workflows.
• Lead technical delivery across multiple systems while ensuring solutions are secure, scalable, supportable, and aligned with business objectives.
• Apply AI-enabled development practices to accelerate delivery while maintaining engineering quality and operational excellence.
• Partner with architects, business stakeholders, subject matter experts, and product teams to translate business needs into practical technical solutions.
• Design and operationalize generative AI, agentic AI, semantic layers, and retrieval-augmented generation (RAG) capabilities.
• Evaluate technical tradeoffs and make sound engineering decisions that balance delivery speed, risk, maintainability, and long-term value.
• Provide technical leadership through architecture discussions, code reviews, design reviews, and mentoring of other engineers.
• Continuously explore emerging technologies, AI models, frameworks, and engineering practices to improve solution outcomes and business impact.

Who You Are (Basic Qualifications)

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
• 5+ years of professional software engineering experience.
• At least 1 year of hands-on experience developing AI-enabled or Generative AI solutions.
• Experience designing, developing, deploying, and supporting production-grade software, data, and AI solutions.
• Experience leading technical design or implementation efforts across complex, cross-functional initiatives.
• Strong programming experience using Python and SQL in production environments.
• Experience with source control, automated testing, CI/CD pipelines, observability, and modern software engineering practices.
• Experience building cloud-native solutions on AWS, including serverless, event-driven, and containerized architectures.
• Ability to communicate complex technical concepts and architectural decisions to both technical and non-technical stakeholders.
• Experience mentoring and coaching engineers through technical guidance and collaborative development practices.

What Will Put You Ahead

• Experience building AI-enabled solutions using large language models (LLMs), embeddings, graph databases, graph query languages, semantic technologies, and RAG architectures.
• Experience with MCP or similar agent integration standards.
• Experience designing verification and evaluation frameworks for AI-generated outputs, including testing, monitoring, observability, and governance controls.
• Experience designing distributed systems using microservices, event-driven architecture, API-first design, and modular architecture patterns.
• Experience applying DevSecOps and production engineering practices, including infrastructure as code, automated security controls, secrets management, feature flags, and progressive deployment strategies.
• Experience with enterprise data and AI platforms such as Microsoft Fabric, Fabric IQ, Snowflake, Azure AI Foundry, or Databricks.
• Experience designing and deploying agentic AI solutions for conversational or action-oriented use cases.
• Experience working with reusable platforms, enterprise-scale data products, and AI-enabled bu…