About the role

Description & Requirements

External Job Description - English

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 business solutions.
Master's degree in Computer Science, Engineering, or a related technical discipline.

At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.

Who We Are

At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.

Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.