Senior Software Engineer - GenAI and AIML Engineering

Job title:- Senior Software Engineer - GenAI and AIML Engineering

Location:- 100% Remote – Applicant's Time Zone

Duration:- 3+ months (Possible Extension)

WHO WE ARE LOOKING FOR

We seek an experienced software engineer passionate about designing and delivering robust, scalable AI/ML solutions that accelerate insights at enterprise scale. You thrive in a fast-paced, collaborative environment and have a proven track record of building high-quality software.

WHAT YOU’LL WORK ON

As a Senior Engineer, you will:

• Design, develop, and maintain scalable AI services powering Client’s data platforms.
• Build SDKs, APIs, and microservices to support enterprise-wide applications.
• Develop agentic workflows and AI/LLM-powered enterprise applications.
• Collaborate with product managers and cross-functional engineering teams to deliver impactful solutions.
• Implement best practices in software development, data governance, and platform observability.

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• Participate in code reviews, provide constructive feedback, and mentor junior engineers.

Required Skills & Experience

• 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.

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• Ability to communicate technical concepts in business terms, translating insights into actionable recommendations.

Preferred Qualifications

• 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).

Education Preferences:

• Bachelor’s degree in Computer Science or related field (Master’s preferred but not required).