Senior Software Engineer

• 5+ years of experience in software development, with a strong foundation in distributed systems, AI-native architectures, and data platforms.

• Experience with various stages of software development, including design, development, testing, and deployment. 

• Strong programming skills in Python, TypeScript, Java, Go, or Scala

• Deep expertise with ML platforms like AWS SageMaker or Bedrock, Azure ML, or GCP.

• Hands-on experience with Databricks, Snowflake, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark and Apache Airflow.

• Strong understanding of Agentic AI architecture, LLMs, LLM Orchestration like LangGrapg or LangChain, Agent Eval, AI governance frameworks, and modern RAG pipelines, Model Context Protocol (MCP)

• A strong familiarity and development experiences with agentic workflow and AI/LLM powered enterprise applications

• Proven ability to deliver high-impact, API-first services at scale.

• Proficiency with tools like Terraform or AWS CloudFormation is critical for managing cloud infrastructure programmatically, ensuring consistency, and enabling automation.

• Expertise with AI native development like Claude Code or Cursor.ai or similar tools

• Testing & Quality Standards: Test-driven development (TDD) mindset with hands-on experience in pytest, Cypress, or equivalent frameworks. Maintains high test coverage and uses static analysis tools (linters, type checkers) to ensure code quality and maintainability.

• Git Workflow & Collaboration: Experience with Trunk-Based Development or GitFlow workflows. Comfortable with frequent integration and collaborative branching strategies.

• Agile Delivery: Proven track record working in Scrum or agile teams with iterative, pragmatic, value-driven delivery. Ships incremental working software while balancing engineering rigor with timely solutions.

• Business-centric Communication: Translates technical investigations into actionable insights for product stakeholders. Articulates the "why" behind technical recommendations in terms of user value, risk mitigation, or business impact. Produces documentation that enables team understanding without requiring follow-up spikes.

• Strong experience with functional programming paradigms. Comfortable writing immutable, composable, side-effect-free code.

• Strong problem-solving and analytical thinking skills.

• Experience in guiding and supporting junior engineers. 

• Excellent communication and collaboration skills.

Preferred Qualifications:

• Frontend Development (Nice to have but not mandatory): Proficiency in modern JavaScript frameworks (Vue.js, React, or Angular) and CSS preprocessors (SCSS/SASS). Experience with component-based architecture and responsive design principles.

• MLOps technologies and frameworks

• Proven experience building AI Platforms or Agentic AI based enterprise applications and systems

  • Building and designing scalable Distributed Systems with RDBMS or NoSQL databases