Python Developer

Experience: 5+ years production software engineering, with 2+ years working directly on LLM or agent systems in production. 

Location: Remote 

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Why This Role Matters

Terrabase builds agent infrastructure that enterprise customers rely on daily for SQL generation, forecasting, data analysis, and artifact delivery. Our orchestration layer routes between specialized sub-agents, manages typed handoff contracts, runs structured eval suites, and enforces correctness across every turn.

This is not a research-prototype role. You will build and evolve agent architecture, but always in service of making the system observable, typed, evaluated, recoverable, and boringly reliable in production.

What You Will Do

Own the harness architecture and middleware stack. Our LangGraph orchestrator routes between sub-agents through a layered middleware stack: file upload handling, source resolution, local context, workspace sync, state hydration, aggregation barriers, and typed handoff contracts. You will extend this stack, enforce its contracts in code, and keep it operational as routing logic and agent surfaces evolve.

Maintain typed contracts and boundaries. Agent handoffs at Terrabase carry typed contracts with barrier conditions and retry predicates. You will design these contracts, enforce them with strict typing, manage backward compatibility when contracts change, and write the contract tests that prevent silent regressions.

Own the eval suites. We run structured eval suites across routing decisions, context-resolution accuracy, multi-turn coherence, visual reference alignment, and artifact correctness. You will extend coverage, write new evals where gaps exist, and build CI gates that block releases when regressions are detected. A routing change or prompt change with no eval coverage does not ship.

Triage production failures and close the loop. When an agent turn fails in production, you will trace it in LangSmith, identify the failure class, and convert it into a durable regression test. You will own the release gates, keep prompts and runtime contracts in sync, manage feature flag rollout risk, and remove dead paths as the system evolves.

Own SQL and artifact correctness. Our agents generate SQL over customer schemas and produce structured artifacts (reports, dashboards, data sheets) under a strict schema contract. You will own the correctness layer: source grounding, schema-aware validation, provenance surfaces, and the eval infrastructure that catches generated artifact failures before they reach customers.

Build and maintain HITL workflows. Human-in-the-loop checkpoints let users intervene, redirect, or approve mid-chain. You will design these workflows, enforce their resumable state contracts, and ensure they degrade gracefully when interrupted.

Instrument for traceability. You will extend LangSmith tracing coverage, add structured span annotations, and build the tooling that lets us diagnose a bad agent turn from production trace data alone, without requiring a local reproduction.

What We Are Looking For

• 5+ years production software engineering, with strong Python fundamentals
• 2+ years working hands-on with LLM-based systems: agent loops, tool use, context management, or inference pipelines
• Experience with LangGraph, LangChain, OpenAI/Anthropic tool-use systems, or equivalent multi-step agent/runtime orchestration
• Practical eval engineering: you have built or extended eval harnesses, written automated test cases for agent behavior, and treated evaluation as an ongoing engineering discipline
• Strong engineering hygiene: strict typing, small interfaces, contract tests, clear schema migrations, and CI discipline
• Ability to debug from production traces and artifacts, not only local reproductions
• Comfort working across prompts, Python runtime code, TypeScript product surfaces, data systems, and eval infrastructure
• Systems thinking: you design for observability, recovery, and state management, not just the happy path
• Maintenance ownership mindset: you triage, close loops, and leave systems more debuggable than you found them
• Pragmatic judgment: you can distinguish between reliability-critical infrastructure and speculative abstraction

Bonus Points

• HITL workflow design: checkpoints, approvals, mid-chain interrupts, resumable state
• Context engineering depth: chunking strategies, retrieval-augmented generation, semantic routing, re-ranking
• Experience with LangSmith, Weights and Biases, or similar trace and evaluation platforms
• Prior work shipping agent systems to enterprise customers where SQL or data correctness is a hard requirement
• Experience with mypy, Pydantic contracts, or strict typing disciplines in a production Python codebase

Life at Terrabase

We are a sharp, focused, fully remote team building agent infrastructure that enterprise customers trust with their data. You will work directly alongside the engineer who designed this harness, with broad ownership, generous compute budgets, and a culture that treats reliability as a product requirement, not a research topic.

Terrabase is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive environment for every team member.

At Pipaltree, we’re building an AI-enabled platform that helps brands understand how they’re truly perceived — not through surveys or static dashboards, but through real conversations happening across the world.

We’re a small team solving deep technical and product challenges: orchestrating large-scale conversation data, applying reasoning and summarization models, and turning this into insights that businesses can trust.

Requirements:

• Deep understanding of distributed systems and asynchronous programming in Python
• Experience with building scalable applications using LLMs or traditional ML techniques
• Experience with Databases, Cache, and Micro services
• Experience with DevOps is a huge plus

• Experience in API development using Java will be a plus.

• Excellent knowledge and experience in writing testable, scalable, flexible, robust and efficient web applications using JavaEE 6/7 technologies, specifically, Spring core, Spring Boot Spring Data, spring batch and JPA
• Experience in successfully deploying Java-based applications in production and understanding load-balancing, authentication, and fault tolerance through Tom Cat.
• Experience in database modeling (MySQL/NoSQL databases such as Mongo DB)

• Knowledge of integrating with Ant, Maven, GIT and Shell scripting.
• Strong backend experience to develop Data Layer using at least one of the ORM frameworks like Hibernate, JPA etc.
• Strong RDBMS Skills and SQL skills. Experience in MySQL, Teradata and warehousing databases.

• Experience in Analytics frameworks and visualization products.

• Excellent knowledge and experience of Maven, Continuous Integration, and Continuous Delivery with Jenkins.
  • Experience with JavaScript frameworks, especially Angular is a definite plus.

Java 8, J2EE , Spring Boot, Microservices, Apache Spark, DevOps, Advanced SQL, preferably with

expertise in Data engineering/Data analytics,

ELK(Elastic Search, Logstash , Kibana) stack, Teradata, any No SQL database, Hands on experience in

maintaining products on Cloud Technologies like PCF, Azure, Docker, Kubernetes, etc, NodeJS,

Angular 2x, GitLab with CI/CD, Hands on experience in Unix server, Shell scripting, Large data

processing, Performance tuning, Experience in working in various Test Automation frameworks like

Selenium, Test NG, Python, Cucumber, Karma, Karate/ Jasmine, etc

Experience in using Eclipse, Spring tool suite, Project building tools - Maven, Gradle, etc, JIRA for ALM.

About Us

We Innvoage Technology Private Limited, incorporated in the year 2021, with a dream to revolutionise the Fintech industry by our innovative solutions in the field of online transactions. Our Vision is to “Be the most trusted and innovative service provider in the payment industry, with smoothest and most convenient to use interface and to offer unparalleled solutions to our valued customers in all our markets.”

We are looking for a core team to be the lead developers for our Payment Gateway Solution - UPayI.

Job Responsibilities

• Familiar with Laravel 8 with php 7.4
• Familiar with MySQL or PostgreSQL
• Familiar with WordPress plugin development

Required Skills

• Using Laravel to develop web system project. (about EC and Education)
• Developing WordPress plugins. (ITS VERY IMPORTANT) 
• Modify WordPress theme, or plugin's template.
• Other web backend tasks.
• Must have at least 3 years of experience in Frontend Web Development.

Basic experience developing web applications using Cake PHP or other MVC framework

Strong PHP skills with any MVC Framework -Cake PHP / Laravel / Yii / Code ignitor, etc.

Strong MySQL, AJAX, jQuery, HTML & JavaScript skills

Experience integrating Payment Gateway and third-party PHP libraries is preferable

Work alongside a broader team with a focus on Design, UX, Optimization, Back End processes, DevOps Efficiency with the goal of delivering high-quality projects using the latest tech stack. A keen eye for detail, along with a passion to deliver quality, customer-focused solutions is absolutely essential.

Championing Web Development: You will be responsible for handling web development from ideation to production.

Collaboration with product manager and other developers, owning a large part of the process from problem understanding to shipping the solution.

Contribute best-in-class programming skills to develop highly innovative, consumer-facing web products.

Desired Profile

Great skills in PHP MVC frameworks like Laravel, CodeIgniter, etc.

Extensive Experience in API integration and development is required.

Experience in jQuery and AJAX.

Working knowledge of web technologies including HTML, and CSS is required.

Basic understanding of version control systems like Git and SVN.

Experience working with AWS or any other Linux Cloud Servers is a huge plus.

Passionate about writing clean, efficient, and maintainable code.

Strong analytical and debugging skills and experience building consumer systems at scale.