Python Backend Developer Intern (FastAPI)

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

Location: Remote 

To streamline and fast-track screening, please submit your details here (if you haven’t already): https://airtable.com/appbtkr4odapnb5I6/pagqo91lKv3VJg3GT/form 

We’ll review your responses as part of the initial screening process. Please make sure you complete and submit all details through the form to be considered for the next stage. Submissions outside the form may not be considered.

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.

7+ years of experience in Python Development

Good experience in Microservices and APIs development.

Must have exposure to large scale data

Good to have Gen AI experience

Code versioning and collaboration. (Git)

Knowledge for Libraries for extracting data from websites.

Knowledge of SQL and NoSQL databases

Familiarity with RESTful APIs

Familiarity with Cloud (Azure /AWS) technologies

About Wissen Technology:

• The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.

• Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.

• Our workforce consists of 550+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

• Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

• Globally present with offices US, India, UK, Australia, Mexico, and Canada.

• We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

• Wissen Technology has been certified as a Great Place to Work®.

• Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

• Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

Website : www.wissen.com

Preferred Skills:

• Experience with XML-based web services (SOAP, REST).
• Knowledge of database technologies (SQL, NoSQL) for XML data storage.
• Familiarity with version control systems (Git, SVN).
• Understanding of JSON and other data interchange formats.
• Certifications in XML technologies are a plus.

● 5+ years of experience as a Data engineer or related role.

● 5+ years of experience in application development using Python

● Strong experience with SQL and good to have NoSQL.

● Experience with Agile engineering practices.

● Preferred experience in writing queries for RDBMS, cloud-based data warehousing solutions like

Snowflake.

● Ability to work independently or as part of a team.

● Experience with cloud platforms, preferably AWS, is good to have

● Experience with ETL/LT tools and methodologies.

● Experience working on real-time Data Streaming and Data Streaming platforms

Job Title:   Python Developer

Job Location: Pune ( Baner)

Experience: 4 to 8 years

Notice Period: 1 Month or Less

Skills: Python (Django, Flask), MySQL, Strong focus on OOPS and Architecture, Bitbucket/GitHub, NoSQL

Technical Requirements:

• Experience in developing web applications and APIs(REST, XML, other open sources)
   
• Strong programming foundation in Python, MYSQL & OOPS Experience in Django/Flask
• Experience & Good understanding of HTML5, CSS3, Bootstrap, Ajax, JS etc while experience on Angular, Node JS will be an added advantage.
• Solid exposure of API integrationsand familiar with various design & architectural patterns.
   
• In depth knowledge of Source Code Repository and experience working with Bit-bucket.
• Experience working on Apache HTTP or any other web/app server.
• Hands on experience in DB design, Architecture, coding, unit testing and debugging.
• Experience working in an Agile development environment.
• Sound in data structure analysis and algorithm design.
• Ensure cross-platform compatibility of information retrieved from web services on Android and iOS platforms, in terms of Push Notifications, platform-specific issues, etc
• Good knowledge of relational databases, version control tools and of developing web services.
• Strong understanding of the software development life cycle and best practices

Roles and Responsibilities:

• Should be a problem solver with an attitude to contribute towards the success of Team/Project as well as organization.
• Should be able to guide other members in the team
• Should take initiatives to improve code quality standards and team efficiency.
• Should be able to Participate in the requirements gathering and come up efficient solutions
• Should be able to Efficiently estimate on high and low level along with assessing risk items

• Lead the engineering effort across projects 
• Interface with key stakeholders and apply your technical proficiency across different stages including Application Architecture, Design and Development
• Understand client's business requirements and be able to map them to technology solutions and make them work
• Design and build modern solutions informed by a deep understanding of cloud architecture and how distributed systems operate at scale
• Provide regular support and guidance to teams on complex coding, issue resolution and execution 
• Establish and enforce best development and engineering practices including QA and DevOps
• Lead and manage your own team, but also get down to coding, testing, and designing solutions as and when needed
• Communicate effectively with teams, clients and business leaders within the company

• Minimum 6+ years of experience designing and building full stack applications using UI frameworks like Angular, React or Vue.JS and backend frameworks like Node.JS/ExpressJS or Python/Django/Flask or Laravel/Yii2/Symphony
• Minimum 2-3 years of experience as a Technical Lead mentoring team of 3 to 5 developers
• Strong knowlegde of cloud and distributed systems (AWS, GCP, Azure). Cloud certifications would be an added advantage.
• Deep knowledge of relational databases, SQL and NoSQL databases. Experience with Graph databases like Neo4j is desirable.
• Proficient in Git and CI-CD frameworks
• Strong communicator with visual, verbal, and writing skills to clearly articulate complex design problems and solutions
• Ability to work in an agile environment