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.

Python Developer (Performance Optimization Focus)

Experience: 3–5 Years

Location: Remote (India-based candidates only)

Employment Type: Full-time

Role Overview

We are seeking a Python Developer with a strong focus on performance optimization and system efficiency. In this role, you will identify bottlenecks, enhance system performance, and contribute to building scalable, high-performance applications in a Linux-based environment.

Key Responsibilities

• Analyze and troubleshoot performance bottlenecks in applications and systems
• Optimize code, database queries, and architecture for scalability and speed
• Design, develop, test, and maintain robust Python applications
• Work with large datasets and improve data processing efficiency
• Collaborate with cross-functional teams to improve system reliability and performance
• Monitor system performance and implement proactive improvements
• Write clean, maintainable, and efficient code following best practices

Required Skills & Qualifications

• 3–5 years of hands-on experience in Python development
• Strong expertise in performance tuning and optimization techniques
• Experience with debugging and profiling tools
• Solid understanding of data structures and algorithms
• Experience with REST APIs and backend development
• Strong analytical and problem-solving skills

Linux & System Knowledge (Must-Have)

• Comfortable working in Linux/Unix environments
• Command-line proficiency, including:
• File editing (vi, nano)
• File permissions (chmod, chown)
• File downloads (wget, curl)
• Basic file and directory operations

Basic Python Knowledge (Interview Scope)

• Writing simple scripts and reusable functions
• String manipulation and data handling
• Example task: Count words in a file/string efficiently

Good to Have

• Familiarity with AI/ML concepts or tools
• Experience optimizing data-intensive or distributed systems
• Exposure to cloud platforms (AWS, GCP, Azure)

Why Join Us

• Work on performance-critical systems with real-world impact
• Fully remote work environment
• Opportunity to work with modern, scalable technologies
• Collaborative, growth-focused team culture

We are looking for passionate people who love solving interesting and complex technology challenges, who are enthusiastic about building an industry first innovative product to solve new age real world problems. This role requires strategic leadership, the ability to manage complex technical challenges, and the ability to drive innovation while ensuring operational excellence. As a Backend SDE-2, you will collaborate with key stakeholders across the business, product management, and operations to ensure alignment with the organization's goals and play a critical role in shaping the technology roadmap and engineering culture.

Key Responsibilities

• Strategic Planning: Work closely with senior leadership to develop and implement engineering strategies that support business objectives. Understand broader organization goals and prepare technology roadmaps.
• Technical Excellence: Guide the team in designing and implementing scalable, extensible and secure software systems. Drive the adoption of best practices in technical architecture, coding standards, and software testing to ensure product delivery with highest speed AND quality.
• Project and Program Management: Setting up aggressive as well as realistic timelines with all the stakeholders, ensure the successful delivery of engineering projects as per the defined timelines with best quality standards ensuring budget constraints are met. Use agile methodologies to manage the development process and resolve bottlenecks.
• Cross-functional collaboration: Collaborate with Product Management, Design, Business, and Operations teams to define project requirements and deliverables. Ensure the smooth integration of engineering efforts across the organization.
• Risk Management: Anticipate and mitigate technical risks and roadblocks. Proactively identify areas of technical debt and drive initiatives to reduce it.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 1-3 years of experience in software engineering
• Excellent problem-solving skills, with the ability to diagnose and resolve complex technical challenges.
• Proven track record of successfully delivering large-scale, high-impact software projects.
• Strong understanding of software design principles and patterns.
• Expertise in multiple programming languages and modern development frameworks.
• Experience with cloud infrastructure (AWS), microservices, and distributed systems.
• Experience with releational and non-relational databases.
• Experience with Redis, ElasticSearch.
• Experience in DevOps, CI/CD pipelines, and infrastructure automation.
• Strong communication and interpersonal skills, with the ability to influence and inspire teams and stakeholders at all levels.

Skills:- MySQL, Python, Django, AWS, NoSQL, Kafka, Redis, ElasticSearch

Ventura Securities is establishing its fintech team - a remote-first, work from anywhere team with highly talented individuals who come from diverse backgrounds and looking to solve real client problems at scale. Ventura has been in the stockbroking business for 20+ years and it is a robust and profitable franchise with 1000+ employees currently. We are looking for passionate techies with skills primarily around AWS and Python who are aspiring for a fast-track career.

Your Key Responsibilities: 

1. Build out of the Ventura cloud-based backend platform from scratch

2. Ownership and monitoring of our D2C backend

3. Robust documentation skills and desire to share information with others

4. Desire and ability to prototype ideas quickly, and be willing to experiment and learn

Basic Requirements:

·  Very strong python, lambda, sql, general aws

· Clean coding skills around Python or Go and SQL

· Demonstratable experience around writing testable code, working with git, doing peer-level code review, daily standups, and generally championing software excellence

· What you get: 

1. Chance to build out a next-gen fintech product from ground 0

2. Opportunity to influence the design of the product

3. Flexible and work anywhere environment running out of Slack

Flat org structure

• No day is the same - you will create technical designs that support varying client requirements
• You'll design and develop full-stack web applications using the latest web technologies, primarily Python and Django
• Write code/unit tests and be part of the test-driven development environment
• Leverage your skills in industry-standard tools to deliver weekly code releases
• You'll work in a no silos environment, frequently collaborating with global teams and roles across the organization

Who you are:

• 7+ years of experience developing great web applications
• You can build products from scratch
• You have expertise in the Django backend framework
• You are fluent in the Python language
• You have dabbled in any one of these front-end frameworks - Angular, React, Vue
• You understand when to use NoSQL vs. relational database
• you understand reporting/dashboards framework
• You are comfortable working up and down the stack
• You are able to convert ideas into designs and build them out
• Benefit if you have worked with payment gateways such as visa, Mastercard, etc.