What we are looking
- You must have experience in Python, including development of microservices using flask/fastapi/sanic.
- You hold knowledge of at least one Python web frameworks
- You have experience in NoSQL databases such as MongoDB
- You are familiar with relational databases and unstructured data.
- You are familiar with some ORM (Object Relational Mapper) libraries.
- You have prior exposure to code versioning tools such as Git.
- You understand fundamental design principles behind a scalable application
Good to have
- Experience in cloud services such as AWS
- Knowledge of user authentication and authorization between multiple systems, servers, and environments
- Understanding of the threading concepts in Python and multi-process architecture
What you'll do
- Create database schemas that represent and support business processes
- Integrate multiple data sources and databases into one system.
- Develop and integrate RESTful APIs and services for business use cases
- Perform unit and integration tests on developed modules

About Xempla
About
Xempla is the world’s first decision support system for enterprise asset management. It is designed to provide any operations and maintenance team with the tools, resources and assistance they need to make better decisions throughout the asset lifecycle.
We are a people-first software company with the vision to create a world where everyone has the proper support to make those bold decisions and feel empowered to make life what they want it to be. We are determined to make every day better for our customers, employees and communities through the values that we hold so close, the decisions we help them create, and our mantra of doing “the work of our life”.
Connect with the team
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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.
Job Description: Python Backend Developer
Experience: 7-12 years
Job Type: Full-time
Job Overview:
Wissen Technology is looking for a highly experienced Python Backend Developer with 7-12 years of experience to join our team. The ideal candidate will have deep expertise in backend development using Python, with a strong focus on Django and Flask frameworks.
Key Responsibilities:
- Develop and maintain robust backend services and APIs using Python, Django, and Flask.
- Design scalable and efficient database schemas, integrating with both relational and NoSQL databases.
- Collaborate with front-end developers and other team members to establish objectives and design functional, cohesive code.
- Optimize applications for maximum speed and scalability.
- Ensure security and data protection protocols are implemented effectively.
- Troubleshoot and debug applications to ensure a seamless user experience.
- Participate in code reviews, testing, and quality assurance processes.
Required Skills:
Python: Extensive experience in backend development using Python.
Django & Flask: Proficiency in Django and Flask frameworks.
Database Management: Strong knowledge of databases such as PostgreSQL, MySQL, and MongoDB.
API Development: Expertise in building and maintaining RESTful APIs.
Security: Understanding of security best practices and data protection measures.
Version Control: Experience with Git for collaboration and version control.
Problem-Solving: Strong analytical skills with a focus on writing clean, efficient code.
Communication: Excellent communication and teamwork skills.
Preferred Qualifications:
- Experience with cloud services like AWS, Azure, or GCP.
- Familiarity with Docker and containerization.
- Knowledge of CI/CD practices.
Why Join Wissen Technology?
- Opportunity to work on innovative projects with a cutting-edge technology stack.
- Competitive compensation and benefits package.
- A supportive environment that fosters professional growth and learning.
At Ocean Friends, we are looking to positively impact the lives of families dealing with chronic health conditions through technology. We are looking for self-driven, and motivated Software Engineers with intent and ability to work across a variety of technology problems, including, but not limited to Mobile app development, AI/ML, and User experience.
· Qualification: bachelor’s or master’s degree in computer science, Engineering, or any field.
· Proven experience of 6+ years in project management, preferably in software development projects involving Python.
· Strong proficiency in Python programming and familiarity with relevant frameworks.
· Excellent leadership, communication, and interpersonal skills.
· Ability to manage multiple projects simultaneously while maintaining quality and timeliness.
· Expertise in Django/Python/AWS and MySQL.
· Problem-solving aptitude and a proactive approach to challenges.
· Experience working in an Agile development environment is highly desirable.
· Strong organizational and time management skills.
· Possess a strong understanding of Python programming concepts, frameworks, and best practices.
· Assist team members with technical challenges, review code, and contribute to technical discussions.
· Develop comprehensive project plans, including scope, timelines, milestones, resources, and deliverables.
Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance, and growth.
Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalizing go-to-market models and not just explore possibilities.
We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership, and collaboration our people work in a spirit of co-creation, co-innovation, and co-development to engineer next-generation software products with the help of accelerators.
Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.
We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We are constantly self-asses and realign to work with each customer in the most impactful manner.
Pre-requisites for the Role
- Job ID-EMPY0120MS
- Primary skill: Python Developer, Django, Problem solving.
- Secondary skill: Rest, API
- Years of Experience: 4-7 Years
- Location: Remote
Budget- Open
NP- Immediate
PYTHON DEVELOPER
- Design, build, and maintain efficient, reusable, and reliable Python code
- Design and implement software platform with Microservices Architecture, based on AWS Lambda and Event sourced data
- Integration of data storage solutions {may include databases, key-value stores, notification queues, etc.}
- Integration with various backend monitoring tools
- Identify bottlenecks and bugs, and devise solutions to these problems
- Help maintain code quality, organization and automatization
- Participate in early product demonstrations to customersExperience required:
- Bachelor's or Masters in Computer Science or a related discipline
- 2-6 years of relevant professional experience
- Delivery of quality results within aggressive timelines
- Knowledge of software development processesSkills Required:
- Experience with Python, along with other common libraries/framework such as Flask, Celery, Django etc.,
- Good understanding with usage of Lambda in Python.
- Good understanding in testing frameworks like PyTest.
- Ability to work with IDEs like Visual Studio Code.
- Basic understanding in developing private PIP packages.
- Solid understanding of object-oriented programming.
- Familiarity with concepts of MVC, Mocking, ORM, and RESTful.
- A knack for writing clean, readable Python code.
- Ability to integrate multiple data sources and databases into one system.
- Ability to understand monitoring metrics, such as CPU, Memory, Disk Space, Network latency, and telemetry services.
- Understanding of fundamental design principles behind a scalable application.
- Understanding the fundamentals of RDBMS databases.
- Ability to work with PostgreSQL is a plus.
- Ability to work with AWS services like Lambda, Kinesis, SQS, SNS etc., is a plus.
- Proficient understanding of Git.
- Familiarity with continuous integration and continuous deployment.
- Effective verbal and written communication skills.
Our client is a call management solutions company, which helps small to mid-sized businesses use its virtual call center to manage customer calls and queries. It is an AI and cloud-based call operating facility that is affordable as well as feature-optimized. The advanced features offered like call recording, IVR, toll-free numbers, call tracking, etc are based on automation and enhances the call handling quality and process, for each client as per their requirements. They service over 6,000 business clients including large accounts like Flipkart and Uber.
- Selecting appropriate Cloud services to design and deploy an application based on given requirements
- Migrating complex, multi-tier applications on Cloud Platforms
- Designing and deploying enterprise-wide scalable operations on Cloud Platforms
- Implementing cost-control strategies
- Developing and maintain the CI/ CD pipeline for the assigned projects
- Conducting code reviews, and make technical contributions to product architecture
- Getting involved in solving bugs and delivering small features
- Fostering technical decision making on the team, but taking final decisions when necessary
- Understanding engineering metrics and seeking to improve them
- Understanding the requirements from the Product team, plan and execute.
What you need to have:
- Expert in designing Software and System architecture.
- Must have knowledge of Python (PHP knowledge is a plus) and related tools.
- Must understand MySQL queries and optimization.
- Must be able to build high performance teams.
- Must have worked with similar technologies: redis, docker, AWS, elasticsearch.
- Must know about microservice architectures and CI/ CD pipelines.
- Must be great at planning, researching and communicating.
- Must have a good understanding of application metrics.
Hello to the Amazing Devs out there,
We're ToastApp. We're on a mission to revamp the Dine-In experience for the customers as well as for the restaurants.
We're growing rapidly and this search for a new techie is to enable us and push for exponential growth. This is where you come in. You're a proactive, sharp and self-motivated individual who is eager to learn and take ownership across our applications. You love communicating and working with others in your team towards success, taking us from where we are now to where we want to be!
Our ideal candidate has:
Strong knowledge of Python (3+ years)
Experience with Redis and queues (Celery/Dramatiq)
Strong knowledge of MongoDB and PSQL DBs
Experience with modern APIs based on REST (Flask, FastAPI)
Fluent English and excellent communication skills
Passion for writing clean code and tests
Nice to have:
Experience creating products for developers, data engineers and/or data consumers
Experience with ElasticSearch
Hands-on approach and is proactive
A keen eye for detail, striving for perfection
Our tech stack:
Python, Flask
Redis
RabbitMQ
Mongo, MySQL
Github
On a typical day, you will:
Uphold our high engineering standards and bring consistency to our product development
Create and develop new functionalities as well as maintain existing ones
Write clean and scalable code
Write code-reviews
Learn best practices from other team members
Benefits:
Our team is based out of Hyderabad. We believe the best work happens when given lots of uninterrupted time that's free of distractions.
8L - 28L Based on experience
ESOPs
22 days holidays
Performance-based Quarterly Bonus
- Work with stakeholders and fellow developers.
- Design and implement Python code using the Django framework.
- Identify and fix bottlenecks that may arise from inefficient code.
- Identify and fix software bugs.
- Create a wide variety of unit tests to verify the functionality of software.
- Manage the security of the platform.
- Write detailed documentation around the code.
- Knowledge of front end languages.










