Senior Software Engineer - AI Agents

Senior Software Engineer - AI Agents

Company: Kooe Pvt Ltd
Experience: 5+ Years
Location: Remote
Employment Type: Contract / Full-Time

About the Role

Kooe Pvt Ltd is looking for a hands-on Senior Software Engineer - AI Agents to join its Data Automation team. The role focuses on designing, building, and productionizing LLM-powered agents and backend services running on Databricks and AWS .

This is a code-first engineering role requiring strong Python/Node.js development, AWS/IaC expertise, and proven experience shipping LLM agents to production.

Key Responsibilities

• Design, build, and productionize LLM-powered agents , including tool-use loops, retrieval, orchestration, evaluation, and guardrails.
• Develop production-grade services and APIs using Python and Node.js/TypeScript .
• Build end-to-end RAG pipelines , including chunking, indexing, hybrid/reranked retrieval, and evaluation.
• Deploy and operate services on AWS using Infrastructure as Code.
• Build and maintain CI/CD pipelines and manage environment promotion.
• Work with AWS services including S3, IAM, networking , and related cloud infrastructure.
• Develop and manage Databricks notebooks and Jobs , including task chains, parameters, and schedules.
• Work with Unity Catalog and Delta Lake , including MERGE, overwrite, and schema evolution.
• Debug and enhance existing data and automation pipelines.
• Follow engineering best practices including testing, documentation, 12-factor principles, feature branching, PR reviews, and Conventional Commits.
• Own solutions from development through production and contribute independently to technical decisions.

Mandatory RequirementsSoftware Engineering

• 5+ years of professional software engineering experience.
• Strong hands-on experience with Python and Node.js/TypeScript .
• Strong understanding of data structures, API design, error handling, testing, and debugging.
• Experience with Git feature branches, pull requests, and code reviews.
• Ability to write clean, maintainable, tested, production-grade code.

LLM Agents - Non-Negotiable

• Proven experience building and deploying LLM agents to production .
• Strong understanding of multi-step agent loops, tool calling, tool observation, and orchestration.
• Hands-on experience designing RAG solutions end-to-end .
• Experience with chunking, indexing, retrieval, hybrid search, and reranking.
• Experience defining and implementing LLM/agent evaluation strategies .
• Understanding of when to use an agent versus a standard LLM call or deterministic logic.
• Framework experience with LangChain, CrewAI, Databricks Agent Framework, or custom tool-use implementations .

AWS Infrastructure

• Strong hands-on AWS experience.
• Experience with Terraform, AWS CDK, or equivalent IaC tools .
• Experience with CI/CD, environment promotion, S3, IAM, and networking.

Databricks

• Working experience with Databricks notebooks and Jobs .
• Understanding of Unity Catalog and catalog.schema.table namespace .
• Hands-on experience with Delta Lake , including MERGE, overwrite, and schema evolution.
• Ability to troubleshoot and enhance existing Databricks pipelines independently.

Good to Have

• Advanced Databricks/Spark performance tuning.
• Advanced Unity Catalog governance.
• MCP (Model Context Protocol) experience.
• Agent observability, monitoring, and tracing tools.
• Construction, AEC, or project-based industry experience.
• Jira experience.

Core Skills

Python | Node.js | TypeScript | LLM Agents | RAG | Tool Calling | AWS | Terraform | CI/CD | Databricks | Delta Lake | Unity Catalog | APIs | Git

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.