Django Developer

Mandatory Skills:

• Strong hands-on experience in Python
• Experience in Generative AI / LLMs
• Good understanding of FinTech or Banking domain
• Experience with APIs and Microservices
• SQL/Database knowledge
• Cloud platform experience (AWS/Azure/GCP)
• Strong communication and problem-solving skills

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.

About the Role

We are looking for an experienced Senior Backend Developer to design and build scalable, secure, and high-performance backend systems. The ideal candidate will have deep expertise in Python/Django, microservices architecture, and cloud technologies, along with strong problem-solving skills and leadership capabilities.

Key Responsibilities

•Design and develop backend services using Django and Python.

•Architect and implement microservices-based solutions for scalability and maintainability.

•Work with PostgreSQL and Redis for efficient data storage and caching.

•Build and maintain RESTful APIs and ensure robust API design principles.

•Implement system design best practices for high availability and fault tolerance.

•Containerize applications using Docker and manage deployments with Kubernetes.

•Integrate with cloud platforms (AWS/Azure) for hosting and infrastructure management.

•Apply security best practices to protect data and application integrity.

•Collaborate with frontend, QA, and DevOps teams for seamless delivery.

•Mentor junior developers and conduct code reviews to maintain quality standards.

Required Skills & Expertise

•Django/Python – Advanced proficiency in backend development.

•Microservices Architecture – Strong understanding of distributed systems.

•PostgreSQL & Redis – Expertise in relational and in-memory databases.

•Docker/Kubernetes – Hands-on experience with containerization and orchestration.

•API Design & System Design – Ability to design scalable and secure systems.

•Cloud (AWS/Azure) – Practical experience with cloud services and deployments.

•Security Best Practices – Knowledge of authentication, authorization, and data protection.

Preferred Qualifications

•Experience with CI/CD pipelines and DevOps practices.

•Familiarity with message queues (e.g., RabbitMQ, Kafka).

•Exposure to monitoring tools (Prometheus, Grafana).

What We Offer

•Competitive salary and benefits.

•Opportunity to work on cutting-edge backend technologies.

•Collaborative and growth-oriented work environment.

Genspark is hiring Professionals for C Development for there Premium Client

Work Location- Chennai 

Entry Criteria 

Graduate from Any Engineering Background /BSc/MSc /MCA with  specialization(Computer/Electronics/IT ) 

Minimum 1 year experience in Industry 

 Working Knowledge of C/Embedded/C++/DSA 

Programming Aptitude (Any Language) 

Basic understanding of programming constructs: variables, loops, conditionals, functions 

Logical thinking and algorithmic approach 

Computer Science Fundamentals: 

Data structures basics: arrays, stacks, queues, linked lists 

Operating System basics: what is a process/thread, memory, file system, etc. 

Basic understanding of compilation, runtime, networking and sockets etc. 

Problem Solving & Logical Reasoning 

Ability to trace logic, find errors, and reason through pseudocode 

Analytical and debugging capabilities 

Learning Attitude & Communication 

Demonstrated interest in low-level or systems programming (even if no experience) 

Willingness to learn C and work close to the OS level 

Clarity of thought and ability to explain what they do know 

 Soft Skills : 

Able to explain and communicate the thoughts clearly in English 

Confident in solving new problems independently or with guidance 

Willingness to take feedback and iterate 

Evaluation Process 

Candidates will be assigned an online test,  followed by Technical Screening. 

Shortlisted Candidates will have to appear for a F2F Interview with the Client, Chennai. 

What you need to have:

Company Introduction –

• Information Security & Data Analytics Series A funded company.
• Working in cutting edge technologies - Using AI for predictive intelligence and Facial Biometrics.
• Among Top 5 Cyber excellence companies globally (Holger Schulze awards)
• Bronze award for best startup of the year (Indian Express IT awards), only cyber Security Company in top 3.
• More than 100+ clients in India.

Job Description:-

Job Title: Python Developer

Key Requirements:-

• Mine data from structured and unstructured data sources.
• Extract data (text, images, and videos) from multiple documents in different formats.
• Extract information and intelligence from data.
• Extract data based on regular expressions.
• Collect data from structured RDBMS databases.
• Work closely with Project/Business/Research teams to provide mined data/intelligence for analysis.
• Should have strong exposure to core python skills like multiprocessing, multithreading, file handling, data structure like JSON, Data frames, and User Defined Data structure.
• Should have excellent knowledge of classes, file handling, memory manipulations.
• Strong Knowledge in Python.
• Strong exposure to frond end languages like CSS, JavaScript, Ajax etc.
• Should have exposure to requests, Frontera, scarpy-cluster, elastic-search, distributed computing tools like Kafka, Hbase, Redis, Zookeeper, restAPI.
• Should be familiar with *nix development environment.
• Knowledge of Django will be added advantage.
• Excellent knowledge on Web Crawling/Web scraping.
• Should have used scraping modules like Selenium, Scrapy, and Beautiful soup.
• Experience with text processing.
• Basics of databases. Good troubleshooting and debugging skills.

 
Education

   B.Tech, MCA, Computer Engineering