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

Skills: node.js,python,code,llm agents,aws,agents