Software Engineer

Bachelor s degree in Computer Science or related field (Master s preferred but not required).
5+ years of professional software development experience.
Strong programming skills in Python (additional languages a plus).
Hands-on experience with AWS Cloud Platform and large-scale application development on cloud platforms.
Knowledge and experience in agentic workflows, AI/LLM-powered enterprise applications, and interoperability standards such as A2A and MCP protocol.
Knowledge and experience in operationalizing LLMs, including evaluation pipelines (automated and human-in-the-loop), guardrails for safety and compliance, and continuous improvement strategies for model performance.
Familiarity with LLM tooling and frameworks such as LangChain, Guardrails AI, OpenAI Evals, or similar for monitoring, observability, and governance.
Proficiency in object-oriented, multi-tier architectures within complex environments.
Experience with Infrastructure-as-Code (IaC) and GitOps workflows.
Familiarity with containerization (Docker), CI/CD pipelines, and dependency management tools (e.g., Poetry, uv).
Experience working in Agile development environments and mentoring junior engineers.
Strong problem-solving and analytical skills, with a focus on delivering well-tested, well documented code.
Ability to communicate technical concepts in business terms, translating insights into actionable recommendations.

PREFERRED
Experience working on Databricks platform
Knowledge of Atomic Design principles for scalable component organization.
Experience in Test-Driven Development (TDD) or willingness to adopt TDD practices.
Familiarity with instrumentation and monitoring tools (e.g., New Relic, Splunk).
Understanding of API documentation standards (OpenAPI/Swagger).
Knowledge of enterprise authentication/authorization protocols (OAuth, OIDC, Okta, or similar SSO Platforms).