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.

Requirement:

• Min 2-3 Year Experience. Preferably in the E-commerce domain. 
• Proficient with both MySQL and NoSql Databases (Elastic, Mongo)
• Strong hold on  Python
• Experience with JavaScript/JQuery
• Ability to do software design for a enterprise web application
• Working knowledge of a MVC front-end framework
• Proficient in HTTP protocol, REST APIs, JSON
• Ability to do database design and modeling
• Proficient in OOPS concepts and writing code using classes
• Ability to write modular and clean code

• Experience with Django/Flask Framworks
• Worked on web app and mobile app
• Understanding of DevOps tools - Jekins/Kubernetes/Azure/AWS/Docker will be a plus

Looking Data Enginner for our OWn organization-

Notice Period- 15-30 days
CTC- upto 15 lpa

Preferred Technical Expertise 

1. Expertise in Python programming.
2. Proficient in Pandas/Numpy Libraries. 
3. Experience with Django framework and API Development.
4. Proficient in writing complex queries using SQL
5. Hands on experience with Apache Airflow.
6. Experience with source code versioning tools such as GIT, Bitbucket etc.

 Good to have Skills:

1. Create and maintain Optimal Data Pipeline Architecture
2. Experienced in handling large structured data.
3. Demonstrated ability in solutions covering data ingestion, data cleansing, ETL, Data mart creation and exposing data for consumers.
4. Experience with any cloud platform (GCP is a plus)
5. Experience with JQuery, HTML, Javascript, CSS is a plus.

We are looking for Django Developers who will  work on a wide range of industries namely automobile, banking, education, fashion, etc.

Skills Required: 

• Professional and precise communication skills.
• Creating self-contained, reusable, testable modules and components..
• Extensive knowledge of CSS and JS methods for providing performance visual effects and keeping the frame rate above 30fps at all times.
• Thorough understanding of the responsibilities of the platform,  database, API, caching layer, proxies, and other web services used in the system.
• Validating user actions on the client side and providing responsive  feedback.
• Writing non-blocking code, and resorting to advanced techniques such as multithreading, when needed.
• Experience with all levels of operation available to the front-end, such as from creating XHRs in vanilla JS to using a custom wrapper around resources.
• Experience with building the infrastructure for serving the front-end app and assets.

Qualifications and Experience Requirements:

• 3+ years of experience in Backend Development
• Preferred skills - Python, MySql, PostgreSQL
• Proficiency with Python, Django framework, JavaScript, CSS and HTML5.
• Knowledge of AWS Cloud Services ( EC2, AWS Lambda,Elastic Beanstalk, API Gateway, S3 etc )
• Familiar with XAMPP, LAMP etc.

Company profile

We are the pioneering player in the FinTech industry in India in the institutional credit space. We have created a one of a kind online marketplace for institutional credit ‘CredAvenue’, bringing together issuers and lenders, while also participating in the marketplace through their own balance sheet. Within a short span of two years, CredAvenue has gained immense traction and boasts of multiple clients across sectors, 120+ investors across multiple segments and a high volume of credit deal closures. To read about the latest numbers we have clocked, please visit http://www.credavenue.com">www.credavenue.com.

We are backed by two of the leading global Private Equity firms and have also been successful in attracting high quality talent from some of the leading companies and universities globally. With the fundamentals in place, we are now gearing up for our next phase of high growth, and we are further building up our team to take the company to the next level.

Primary Responsibilities

• Responsible for full software life-cycle, system design and development of front-end & back-end systems
• Writing high-quality code, participating in code reviews, designing/architecting systems of varying complexity and scope
• Identify libraries and technologies worth experimentation
• Build innovative solutions from scratch and liaise with architects and engineers to build solutions
• Mentoring other team members

Required Skill

•  Degree in Computer Science or relevant experience
•  2-7 years of relevant hands-on software engineering experience doing software design and development
•  Proven experience of working on back-end web frameworks like RoR (preferable) or Python/Django or Node.js
•  Good command over at least one JavaScript frameworks like React.js, Vue.js or Angular
•  Excellent understanding of relational database structures, having knowledge of unstructured databases (NoSQL) will be an  added advantage
•  Expertise in object-oriented design, unit testing, integration testing, data structures, algorithms, scalable APIs, etc.
•  Knowledge of working on cloud technologies and exposure of AWS services (EC2, RDS, S3, etc)
•  Work in a fast-paced environment and make pragmatic engineering decisions in a short amount of time
•  Experience with Agile Development and Scrum methodologies.

Work Environment Details

• An opportunity to play a formative role in an ambitious financial services marketplace spanning investment banking, debt capital markets, institutional finance, retail lending and asset management
• A journey that will challenge and reward you in a manner few others will