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.

Role Overview

We are seeking a Junior Developer with 1-3 year’s experience with strong foundations in Python, databases, and AI technologies. The ideal candidate will support the development of AI-powered solutions, focusing on LLM integration, prompt engineering, and database-driven workflows. This is a hands-on role with opportunities to learn and grow into advanced AI engineering responsibilities.

Key Responsibilities

• Develop, test, and maintain Python-based applications and APIs.
• Design and optimize prompts for Large Language Models (LLMs) to improve accuracy and performance.
• Work with JSON-based data structures for request/response handling.
• Integrate and manage PostgreSQL (pgSQL) databases, including writing queries and handling data pipelines.
• Collaborate with the product and AI teams to implement new features.
• Debug, troubleshoot, and optimize performance of applications and workflows.
• Stay updated on advancements in LLMs, AI frameworks, and generative AI tools.

Required Skills & Qualifications

• Strong knowledge of Python (scripting, APIs, data handling).
• Basic understanding of Large Language Models (LLMs) and prompt engineering techniques.
• Experience with JSON data parsing and transformations.
• Familiarity with PostgreSQL or other relational databases.
• Ability to write clean, maintainable, and well-documented code.
• Strong problem-solving skills and eagerness to learn.
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).

Nice-to-Have (Preferred)

• Exposure to AI/ML frameworks (e.g., LangChain, Hugging Face, OpenAI APIs).
• Experience working in startups or fast-paced environments.
• Familiarity with version control (Git/GitHub) and cloud platforms (AWS, GCP, or Azure).

What We Offer

• Opportunity to work on cutting-edge AI applications in permitting & compliance.
• Collaborative, growth-focused, and innovation-driven work culture.
• Mentorship and learning opportunities in AI/LLM development.
• Competitive compensation with performance-based growth.

We are looking for an experienced Senior API Developer with expertise in Python to join our talented development team. The candidate should have over 8 years of hands-on experience in designing and developing APIs, with a strong emphasis on performance and scalability. Proficiency with Swagger/OpenAPI specifications is required. This role is pivotal to our mission of delivering top-tier solutions that power our core business functions.

Key Responsibilities:

• API Development: Design, develop, and maintain high-quality APIs using Python frameworks such as Django Rest Framework or FastAPI.
• Documentation with Swagger/OpenAPI: Employ Swagger/OpenAPI tools to produce clear and thorough API documentation.
• Integration: Implement and manage integrations between APIs and various internal and external services.
• Optimize Performance: Monitor and enhance the performance of APIs to ensure fast response times and low latency.
• Team Collaboration: Work closely with other developers, product owners, and stakeholders to understand requirements and deliver optimal solutions.
• Code Quality: Uphold best practices in code quality, testing, and deployment. Participate in peer code reviews.
• Debugging and Support: Troubleshoot and resolve issues in development, test, and production environments.
• Continuous Learning: Stay informed about emerging technologies and methodologies in Python and API development.

Qualifications:

• Education: Bachelor's degree in Computer Science, Information Technology, or a related discipline.
• Experience: At least 8 years of professional experience in API development with a focus on Python.

Technical Skills:

• Proficiency in Python programming language.
• Strong experience with API design, development, and RESTful services.
• Expertise with Swagger/OpenAPI specifications.
• Familiarity with Python frameworks like Django, Flask, or FastAPI.
• Experience with ORMs such as SQLAlchemy or Django ORM.
• Knowledge of version control systems, particularly Git.
• Experience working with relational databases like PostgreSQL or MySQL.

Soft Skills:

• Excellent problem-solving and analytical skills.
• Strong verbal and written communication.
• Ability to collaborate effectively within a team and across departments.

Preferred Qualifications:

• Experience with cloud platforms like AWS, GCP, or Azure.
• Knowledge of microservices architecture and distributed systems.
• Familiarity with CI/CD pipelines and tools like Jenkins or GitLab CI.
• Understanding of asynchronous programming and event-driven architecture.

What We Offer:

• Competitive Compensation: Reflective of your experience and the value you bring.
• Growth Opportunities: Support for professional development, training, and certifications.
• Flexible Work Environment: Remote work options and flexible hours to promote work-life balance.

With over 40 years of innovation, Quantum's end-to-end platform is uniquely equipped to orchestrate protect, and enrich data across its lifecycle, providing enhanced intelligence and actionable insights. Leading organizations in cloud services, entertainment, government, research, education, transportation, and enterprise IT trust Quantum to bring their data to life, because data makes life better, safer, and smarter. Quantum is listed on Nasdaq (QMCO) and the Russell 2000® Index. For more information visit www.quantum.com.

As a Software Engineer, you will collaborate with engineers and product managers on the development and maintenance of Quantum’s DXi-Series of disk-based backup appliance software. Quantum’s DXi series protects our customers data on premises, in the cloud, or in a hybrid environment.

You Are A Part Of:

DXi is a uniquely powerful solution within the Quantum portfolio, allowing customers to meet and exceed their backup needs with one of the fastest products on the market. You’ll work on a product that allows customers to reduce costs, maximize production, scale with ease, and positively impact the environment by reducing power and cooling requirements.

Job Responsibilities:

Responsibilities include, but are not limited to:

• Write code primarily for Linux systems, with programming languages including Python, C, C++, and Perl.

• Design and build differentiating feature sets that continue to expand product capabilities, both on premises and in the cloud.

• Work with development, test, service, and support engineers to develop tactical solutions for customer issues.

• May design and develop automated test suites.

• May maintain lab equipment.

Required Skills and/or Experience:

• Bachelor’s degree in Computer Science, Information Technology, or related field of study required.

• 5-10 years related industry experience required.

• 5+ years software development in C or C++ is required.

• 3-5 years’ experience working in a Linux environment is required.

• Experience in writing scripts: Perl, shell, bash, and/or other scripting tools is required.

• Experience with debugging tools such as GDB is required.

• Experience with source control and shared build environments is required.

About KAFQA

At Kafqa, we are building the next generation performing arts platform. Our mission is to transform how India learns, performs & watches performing arts. Our launch services consist of technology-enabled dance classes in our proprietary studios, production facilities, and social media broadcasting & competitions.

Founder & Team

The founder is Shariq Plasticwala. He is a graduate of IIT Bombay & Stanford GSB. He was part of the founding team of Amazon India where he played a key role for over 8 years. Among his roles at Amazon, he was the CEO of Amazon’s first joint venture in India and a Board Member of Amazon’s payments business. The other members of the founding team consisted of senior executives from Shiamak Davar & Byju’s.

Background

•   At least 6+ years experience in back-end development in a fast-paced environment, working in Python & Django Framework
• Should Have experience leading a team.
•   Deep understanding of technologies used in web products, including Rest APIs
•   Sound understanding of SQL/NoSQL databases such as PostgreSQL and MongoDB.
•   Deep familiarity with UNIX, major cloud platforms (AWS, Azure), DevOps.
•   Understanding of databases, and related tools, paradigms.

Opportunity

Here are some of the things you might have to do on any given day:

•   Developing APIs and endpoints for deployments of our product.
•   Infrastructure Development such as building databases, creating and maintaining automated jobs.
•   Build out the back-end to deploy and scale our product.

 Roles & Responsibilities -

• Build and maintain infrastructure for data retrieval, processing and storage
• Build strong working relationships with international teams
• Be willing and able to adapt to changes in priorities
• Ability to learn and apply new technologies to deliver added business value
• Maintain a strong focus on quality

• Proficient in Python / SQL
• Good understanding of data base management systems
• Experience developing and maintaining systems that handle large amounts of data
• Understanding of Electronic Trading Systems
• Attention to detail and code quality
• Excellent problem solving and analytical skills in a high-pressure environment
• Strong communication skills and an ability to convey ideas and concepts with clarity