Python Developer

Experience and Expertise

● 7– 10 years of experience in backend development with Python or Golang.

● Solid understanding of RESTful APIs, microservices, and distributed systems.

● Strong knowledge of data structures, algorithms, and OOPS principles.

● Hands-on experience with relational and/or NoSQL databases.

● Familiarity with Linux development, Docker, and basic cloud concepts

(AWS/GCP/Azure).

● Proficiency with Git and version control workflows.

● Familiarity with AI-powered development tools or exposure to projects involving large

language models (LLMs) is a plus.

Skills

● Strong analytical and debugging skills with the ability to solve complex problems.

● Good communication and collaboration skills across teams.

● Ability to work independently with minimal supervision while being a strong team

player.

● Growth mindset – eagerness to learn new technologies

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.

we are looking for a talented and passionate Python Engineer to join our team. As part of our Insights backend team, you will be building new and improving existing services powering the Insights platform. This is a fast-paced role with high growth, visibility, impact, and where many of the decisions for new projects will be driven by you and your team from inception through production. If you are seeking an environment where you get to do meaningful work with other great engineers, then we want to hear from you!

Skills & Requirements

• At least 1 years of experience with Python, Django.
• Well versed in building the backend logic of web applications.
• Strong database skills.
• Solid foundation in designing and developing scalable API’s.
• Understanding of general web architecture.
• A Bachelors, Masters, or PhD in Computer Science, Information Technology, Computer Engineering or some related discipline, or equivalent experience.
• Hands on experience with Django, Flask or other Python frameworks.
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3.
• Debugging applications to ensure low-latency and high-availability.
• Integrating user-facing elements with server-side logic.
• Implementing security and data protection.

Good to have skills :

• Excellent interpersonal, organizational, written communication, oral communication and listening skills.
• Should come up with the work estimation and should provide inputs to managers on resource and risk planning.
• Ability to coordinate with, stakeholders, manage timelines, escalation & provide on time status.
• Familiarity with some ORM (Object Relational Mapper) libraries.
• Web frameworks and RESTful APIs experience.

Salary: ₹600,000.00 - ₹700,000.00 per year

Job Type: Full-time

Benefits: Leave encashment ,Paid sick time

Schedule: Day shift

Supplemental pay types: Performance bonus

Ability to commute/relocate: Lucknow, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required)

Education: Bachelor's (Preferred)

Key Responsibilities

• Design and implement scalable, maintainable, and efficient Python applications
• Lead technical projects from conception to deployment
• Collaborate with cross-functional teams to define and implement new features
• Write clean, testable code with appropriate documentation
• Conduct code reviews and provide constructive feedback to team members
• Mentor junior developers and contribute to their professional growth
• Participate in technical architecture discussions and decision-making
• Troubleshoot and debug complex software issues
• Contribute to continuous improvement of development practices and processes
• Design and implement AI/ML solutions using LLMs and related technologies
• Optimize and maintain AI model deployment pipelines

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field
• 5+ years of professional software development experience
• Strong proficiency in Python and its ecosystem (Django/Flask, FastAPI)
• Experience with SQL and NoSQL databases
• Solid understanding of software design patterns and principles
• Experience with version control systems (Git)
• Strong knowledge of RESTful APIs and microservices architecture
• Proficiency in writing unit tests and understanding of TDD practices
• Experience with CI/CD pipelines and deployment automation
• Strong problem-solving and analytical skills

AI/ML Technical Skills

• Experience with LLM frameworks (LangChain, LlamaIndex)
• Knowledge of working with large language models (GPT, Claude, etc.)
• Understanding of prompt engineering and LLM fine-tuning concepts
• Experience with vector databases (Pinecone, Weaviate, or similar)
• Familiarity with AI model deployment and serving (BentoML, Ray Serve)
• Experience with machine learning libraries (PyTorch, TensorFlow, or similar)
• Knowledge of AI/ML observability and monitoring tools
• Understanding of AI safety practices and responsible AI development
• Experience with embedding models and semantic search implementations
• Familiarity with AI application development patterns and best practices

jumpingMinds (jM) is a Mental Health Tech startup leveraging the power of community and technology to disrupt the growing global Mental Health & Wellness industry. It's a first-of-its-kind anonymous safe space designed to instantly make someone under stress feel better through personalized intelligent solutions.

We have consistently seen that ~70% of jM users feel better after just one conversation. We launched the product ~18 months ago, and have received an amazing response with over 700k+ community and better than Best In Class metrics across the board. And to top that, we have been awarded 10+ times, out of which we have been recognized by Google five times already!

jumpingMinds is seeking a skilled Backend Developer with a strong proficiency in Python and Django to join our development team. Your primary focus will be the development and maintenance of the jumpingMinds backend system, scalable to millions of devices. working on different layers of the infrastructure. Therefore, commitment to collaborative problem-solving, sophisticated design, and creating quality products is essential.

Requirements :

• BS/MS degree in Computer Science, Engineering, or a related subject
• 3-4+ yrs experience as Backend, prior startup experience, should have led the team, python django expertise, AWS cloud stack knowledge are all must.
• Prior experience in Team Management
• Backend or Full-Stack experience in a work setting or classroom-setting.
• Work experience, open-source code, or coursework in any of the following languages: Python/Django, Golang, Ruby/Ruby on Rails
• Evidence of exposure to architectural patterns of a large, high-scale web application (e.g., well-designed APIs, high-volume data pipelines, efficient algorithms).
• Join our dynamic and innovative team to contribute to the development of cutting-edge web applications and make a meaningful impact in the industry.

Why should an employee join ?

We offer a competitive salary, flexible working hours, and opportunities for professional growth and advancement.

We are looking for Interns or 0-1 Year experienced person for our IoT Division based out of Bangalore. Option for Work from Home is also available.  


Qualification:

Any Graduate in Computer Science / Electronics / Information Science / Instrumentation from reputed institutions


Required Skills Experience:

• 1+ years of experience in Python with FastAPI must.
• 1+ years of experience in working with a database like PostgreSQL.
• Experience of working on any Linux based OS
• Experience of working on AWS
• Understanding of micro-services.
• Should be able to meet SLAs as per the priorities.
• Good communication skills.
• Ability to prioritize and execute tasks in a high-pressure environment.

Desired Skills Experience:

• Knowledge of Python, Django Framework or REST API.
• Knowledge of Docker and Redis.
• AWS Certified Solutions Architect Associate is a plus.
• Experience with Fast API.
• Exposure to CI/CD practices.
• Awareness of Shell scripting

Keywords: #AWS #EC2 #Python #Psql #Django #Docker #Redis #Kafka.