Backend Engineer — Python (Remote - India)

About the Programme

Developing an enterprise AI platform focused on financial compliance and intelligence.

Role Overview

We are looking for a Backend Engineer to own the integration layer of the platform. You will build the APIs and services that connect AI outputs back into operational workflows, integrate with government portals and external data sources, and ensure that the system interacts reliably with RIL’s existing infrastructure. This role requires equal measures of technical rigour and pragmatism to deliver reliably within a fast-moving build timeline.

Key Responsibilities

Integration Mapping & Design

•       Work with the Solutions Architect to map every integration touchpoint — ERP workflow interfaces, government portals, supplier portals, and banking feeds.

•       Understand the latency requirements for each integration and design accordingly — real-time endpoints and batch integrations have fundamentally different design constraints.

•       Design robust fallback mechanisms for every integration — if the AI model is unavailable or low-confidence, the system must degrade gracefully without blocking operational workflows.

Real-Time API Development

•       Design and implement the API layer that connects the AI inference layer to operational systems — clean contracts, versioned endpoints, and clear error responses.

•       Ensure all real-time integrations are built with resilience patterns — circuit breakers, retry logic, timeouts, and graceful degradation under load.

Government Portal & External Integrations

•       Build integrations with government portal APIs for inward supply data, vendor return filing status, and notice data where available via official channels.

•       Build the integration with the customs data portal

•       Manage the specific constraints of government API ecosystems — rate limits, authentication flows, schema changes, and reliability issues that differ significantly from commercial APIs.

Monitoring & Production Stability

•       Build API monitoring and alerting covering latency, error rates, and upstream availability so integration failures are caught before they affect the compliance team.

•       Work with the MLOps Engineer to ensure model inference endpoints are stable and performant enough for the real-time integration to depend on.

•       Maintain clear API documentation so the Full Stack Engineer and other squad members can consume integrations without dependency.

Required Qualifications

Education

•       B.E. / B.Tech / M.Tech in Computer Science, Information Technology, or a related field.

Experience

•       5+ years of backend engineering experience with a focus on API design and enterprise system integration.

•       Proven experience building and maintaining production-grade integrations with complex or legacy enterprise systems.

•       Experience with real-time, latency-sensitive API development in an operational context.

Technical Skills

•       Languages: Python (primary); working knowledge of at least one of Java, Go, or Node.js.

•       API Design: REST API design principles, versioning, authentication (OAuth 2.0, API keys, mTLS), and contract-first development.

•       Resilience Patterns: Circuit breakers, retry logic, rate limiting, bulkheads, and graceful degradation.

•       ERP Integration: Experience integrating with SAP or equivalent large ERP systems — BAPIs, RFC calls, or event-driven extraction patterns strongly preferred.

•       Async & Messaging: Kafka, RabbitMQ, or equivalent for event-driven integration patterns.

•       Containerisation: Docker and Kubernetes for deploying and managing API services.

•       Observability: API monitoring, distributed tracing (Jaeger, Zipkin, or equivalent), and structured logging.

Preferred Qualifications

•       Prior experience with government API ecosystems — GSTN, ICEGATE, or similar; understanding of their specific constraints and reliability characteristics.

•       Experience building integrations that serve ML model inference endpoints in a production setting.

•       Familiarity with SAP integration patterns — SAP BTP, OData services, or SAP API Hub.

•       Prior work in fintech, compliance, legal technology, or similarly regulated environments.

•       Experience with API gateway tooling — Kong, AWS API Gateway, or equivalent.

Agent Application Engineer (Backend / Agentic AI) — Level 1

About Sentiaflow

Sentiaflow is an AI engineering and IT services company that designs and delivers production-grade agentic AI systems. We work at the point where large language models meet real business operations: data, APIs, permissions, workflow state, human decisions, security, evaluation, and measurable outcomes.

Our initial domain focus is healthcare, particularly clinical trials and related operational workflows. These are environments where an impressive demo is not enough. A system must be dependable, traceable, appropriately controlled, and clear about when a human must make the decision.

We are building a specialised engineering organisation across three disciplines:

• Agent Application Engineering
• Agent Platform & Evaluation Engineering
• Applied AI & Model Engineering

The Role

We are hiring strong backend or application engineers who want to specialise in building agentic AI applications. You do not need to arrive with several years of "agent engineer" experience. We are more interested in whether you have built real software, understand how production systems fail, and can learn to use models inside controlled business workflows.

As a Level 1 Agent Application Engineer, you will implement bounded parts of a production workflow under the guidance of an Agent Captain or senior engineer. Your work will connect models to application services, tools, data sources, and human approval points. You will be expected to make every important step observable, testable, and recoverable.

This is not a prompt-writing position, and it is not a generic chatbot role. It is an application engineering role for systems in which some decisions are probabilistic, while the surrounding controls must remain deterministic.

What You Will Work On

The specific client problem will vary, but typical work may include:

• Converting a clinical-operations signal into a bounded workflow that gathers evidence, analyses likely causes, presents options, and routes a recommendation to an authorised person.
• Building services that extract or structure information from trial documents and pass the result through validation and human review.
• Integrating agent workflows with internal APIs, databases, document systems, notification services, and client platforms.
• Implementing workflow state, recovery behaviour, approval gates, permissions, traceability, and scenario-based evaluations.

The work concerns operational decision support and workflow execution. It does not delegate clinical judgment or patient-care decisions to an autonomous model.

What You Will Be Responsible For

• Translate a clearly scoped business workflow into typed inputs, outputs, states, actions, and escalation paths.
• Build reliable application services and tool integrations using Node.js/TypeScript or Python.
• Use an LLM only where model judgment adds value; implement rules, validation, authorisation, and workflow control in deterministic code.
• Design structured model outputs and validate them before they can affect downstream systems.
• Handle partial data, unavailable tools, duplicate events, retries, time-outs, rate limits, and other normal production failure modes.
• Add logging, traces, metrics, and decision records that make the workflow diagnosable.
• Create tests and evaluation cases that measure whether the complete workflow behaves correctly—not merely whether an answer sounds fluent.
• Protect sensitive information and participate in code, design, failure-analysis, and release-readiness reviews.
• Explain your implementation and its trade-offs clearly to engineers, delivery leads, and client stakeholders.

At Level 1, you will not be expected to define the entire client architecture alone. You will be expected to own your assigned module, ask precise questions, surface risks early, and bring it to a production-ready standard with senior review.

What We Are Looking For

Essential Experience

• Approximately 3–6 years of hands-on backend or application engineering experience.
• Evidence that you have built or materially owned production APIs, services, data flows, integrations, or workflow-heavy applications.
• Strong programming ability in JavaScript/TypeScript, Python, Java, C#, Go, or a comparable backend language. Our preference is Node.js/TypeScript, but engineering depth matters more than language loyalty.
• Practical understanding of API design, databases, asynchronous processing, authentication and authorisation, testing, and deployment.
• Ability to reason clearly about state, retries, idempotency, concurrency, permissions, audit trails, and failure recovery.
• Experience debugging real production behaviour rather than only building greenfield demonstrations.
• Clear written and verbal communication, including the ability to explain technical trade-offs without hiding behind framework terminology.

Useful, but Not Mandatory

• Experience integrating LLM or machine-learning capabilities into an application.
• Experience with event-driven systems, state machines, workflow engines, observability, evaluation harnesses, or production incident analysis.
• Experience in healthcare, life sciences, clinical trials, or another regulated or audit-sensitive environment.

Healthcare or clinical-trials experience is preferred, not required at Level 1. We would rather hire a strong production engineer who can learn the domain than a candidate who knows the vocabulary but cannot build dependable systems.

What Does Not Qualify by Itself

Any of the following may be useful experience, but none is sufficient on its own:

• A chatbot or "chat with your documents" application.
• A RAG demonstration built primarily by connecting frameworks.
• A list of AI tools, model names, courses, certificates, or prompt-engineering techniques.
• An application that works in a demo but has no clear handling of permissions, failures, evaluation, or production operations.

How We Will Assess Fit

Our evaluation is designed to identify engineering judgment without asking you to build unpaid project work. We will focus on:

• A structured discussion of a production system you have worked on.
• Questions grounded in your own CV and claimed experience.
• A realistic workflow scenario covering system boundaries, evidence, controls, failure modes, and testing.
• Backend fundamentals and how you would apply them to an AI-enabled workflow.

You are NOT expected to have built a clinical-trials agent before applying.

What Success Looks Like

Within your first six months, you should be able to:

• Implement a bounded agent-workflow module from an agreed design and take responsibility for its quality.
• Integrate models and tools without allowing probabilistic output to bypass deterministic controls.
• Produce traces, tests, and evaluation evidence that support a release decision.
• Diagnose failures across application, tool, data, and model boundaries with progressively less supervision.
• Explain the workflow to a client or domain stakeholder in clear operational language.

Consistent performance at this level creates a path towards Level 2 — Independent Delivery Engineer, where you own a production workflow end to end, including discovery, architecture, integrations, evaluation, failure handling, and release readiness.

Why You Should Join Us

• Build the real systems behind agentic AI. You will work beyond demos and wrappers on the engineering problems that determine whether an AI workflow can operate in production.
• Develop a scarce, durable specialisation. Sentiaflow offers a defined progression across application engineering, platform and evaluation, and applied AI—not a vague instruction to "learn AI."
• Work on consequential operational problems. Clinical-trials workflows demand evidence, traceability, human accountability, and reliable execution.
• Learn through delivery with experienced review. You will own meaningful engineering work while receiving architectural and domain guidance appropriate to your level.
• Influence how the discipline is built. We are at an early stage, so strong engineers will help shape our methods, reusable assets, quality standards, and engineering culture.

We are a tech venture which provides Product Engineering, QA Automation, Infrastructure, Data, and Market Research services.

Technical Proficiency : 
Must have : 

• Strong development experience in Python in the environment of Unix/Linux/Ubuntu

• Strong practical knowledge of Python and its libraries.

• Current working experience with cloud deployment of AWS/Azure/GCP, Microservice architecture, and Docker in Python.

• Good knowledge of CI/CD and DevOps practices

• Good Experience of Python with Django/ Scrapy/ Flask frameworks.

• Good Experience in Jupyter/ Docker/ Elastic Search, etc.

• Solid understanding of software development principles and best practices.

• Strong analytical thinking and problem-solving skills.

• Proven ability to drive large-scale projects with a deep understanding of Agile SDLC, high collaboration, and leadership.
  
  Good to have : 

• Expected to have migration experience from one version to the other, as this project is about migration to the latest version.

• Preferred if had an OpenEdx platform experience or any LMS platform. 

   

8+ years backend engineering experience in production systems

Proven experience architecting large-scale distributed systems (high throughput, low latency, high availability)

Deep expertise in system design including scalability, fault tolerance, and performance optimization

Experience leading cross-team technical initiatives in complex systems

Strong understanding of security, privacy, compliance, and secure coding practices

Hello Candidate,

Greetings from Suventure!

PLease find the Job description below.

Job Title: Senior Python Developer (with or without Rust API experience)

Location: Bangalore, India

Company: Suventure Services Pvt. Ltd.

Work Mode: Work From Office (WFO)

Experience: 5+ Years

About Suventure Services Pvt. Ltd.

Suventure is a technology-driven organization delivering end-to-end solutions across Product Development, Cloud, AI, Analytics, and Mobility. We work with global clients to build innovative, scalable, and secure applications that power digital transformation and business growth.

Job Summary

We are seeking a highly skilled and motivated Python Developer with over 5 years of hands-on experience in backend development, API design, and scalable application architecture. Candidates with exposure to Rust API development will have an added advantage, though it is not mandatory. You’ll collaborate closely with cross-functional teams to deliver high-quality, performant, and maintainable code.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Python (Flask / FastAPI / Django).
• Develop RESTful or GraphQL APIs and ensure seamless data integration between systems.
• Work on microservices architecture and implement clean, modular, and testable code.
• Optimize application performance, ensuring high availability and responsiveness.
• Collaborate with DevOps, frontend, and product teams for feature development and release cycles.
• Participate in code reviews, troubleshooting, debugging, and system enhancements.
• (Optional) Integrate and maintain APIs written in Rust or other high-performance languages.
• Write automated unit tests and follow best practices for CI/CD and version control (Git).

Required Skills & Experience

• Minimum 5 years of professional experience in Python development.
• Strong understanding of OOPs, design patterns, Data structures and software engineering principles.
• Hands-on experience with frameworks such as Flask, Django, or FastAPI.
• Experience with RESTful APIs, microservices, and asynchronous programming.
• Good understanding of SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB, Redis).
• Knowledge of Docker, Kubernetes, or AWS Cloud Services is a plus.
• Familiarity with Rust and its API ecosystem is an added advantage.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• 
  

We are looking for a skilled and motivated Data Engineer with strong experience in Python programming and Google Cloud Platform (GCP) to join our data engineering team. The ideal candidate will be responsible for designing, developing, and maintaining robust and scalable ETL (Extract, Transform, Load) data pipelines. The role involves working with various GCP services, implementing data ingestion and transformation logic, and ensuring data quality and consistency across systems.

Key Responsibilities:

• Design, develop, test, and maintain scalable ETL data pipelines using Python.
• Work extensively on Google Cloud Platform (GCP) services such as:
• Dataflow for real-time and batch data processing
• Cloud Functions for lightweight serverless compute
• BigQuery for data warehousing and analytics
• Cloud Composer for orchestration of data workflows (based on Apache Airflow)
• Google Cloud Storage (GCS) for managing data at scale
• IAM for access control and security
• Cloud Run for containerized applications
• Perform data ingestion from various sources and apply transformation and cleansing logic to ensure high-quality data delivery.
• Implement and enforce data quality checks, validation rules, and monitoring.
• Collaborate with data scientists, analysts, and other engineering teams to understand data needs and deliver efficient data solutions.
• Manage version control using GitHub and participate in CI/CD pipeline deployments for data projects.
• Write complex SQL queries for data extraction and validation from relational databases such as SQL Server, Oracle, or PostgreSQL.
• Document pipeline designs, data flow diagrams, and operational support procedures.
• 
  

Required Skills:

• 4–8 years of hands-on experience in Python for backend or data engineering projects.
• Strong understanding and working experience with GCP cloud services (especially Dataflow, BigQuery, Cloud Functions, Cloud Composer, etc.).
• Solid understanding of data pipeline architecture, data integration, and transformation techniques.
• Experience in working with version control systems like GitHub and knowledge of CI/CD practices.
• Strong experience in SQL with at least one enterprise database (SQL Server, Oracle, PostgreSQL, etc.).

Prelude

We are BeyondScale, on a mission to build the mobile learning app to help organizations create internal courses for their workforce easily. eLearning is booming and we aim to tap into the under-served non-IT L&D market and make a difference in the livelihoods of millions of people.

We’re now looking for a passionate “Django Developer” who is willing to join us at an early stage and help us build a world-class product. 

Django Developer 

Job Description:

• 2+ years of experience coding with Python.
• Design, build, and maintain efficient, reusable, and reliable code.
• Eager and proactive to learn new technical skills.
• Hands-on experience in developing web APIs and writing database queries in PostgreSQL (MongoDB, MySQL and DynamoDB is a plus).
• Good understanding of OOPs, Multiprocessing and threading.
• Proficient in testing and debugging programs.
• Well-versed with Git and modern development workflow practices

Software Engineer - II (Backend)

As a Software Engineer – II, you'll bring a good understanding of design and coding practices and apply these independently in development. In this role - you could expect to:

• Own the lifecycle of a feature from requirement analysis to deployment and post production processes
• Perform code reviews and support your team implement best practices
• Explore trade off's on module designs
• Continuously improve performance metrics of modules owned. Performs RCAs and deploys long term fixes.
• Implement initiatives that improve engineering efficiency and excellence
• Participate in the hiring and interview process for junior developers on your team

About theAsianparent : theAsianparent is a reproductive health-tech company that reaches out to 30 million mothers every month through our parenting website and app. Our vision is to improve the overall health of pregnant women, mothers and families in South East Asia by helping them navigate their most important moments with data-driven solutions and information in the form of content, community and physical products.

Headquartered in Singapore, theAsianparent has offices in Vietnam, Indonesia, Malaysia, the Philippines, Thailand, India, Sri Lanka, Hong Kong and Nigeria. Our investors include Fosun, JD.com,Vertex Ventures and others.

Link: https://tickledmedia.com/" target="_blank">https://tickledmedia.com/ / https://sg.theasianparent.com/" target="_blank">https://sg.theasianparent.com/

We are looking for a Backend Engineers with 4+ years of experience to join our team. This is unique opportunity for a driven and insightful Engineer to join the leading growth-stage start up in the most meaningful segment of the economy(parents) in the core market of Singapore. This is a role where careers are made, if you are upto the challenge, and keen to work with world-class teams.

Work Experience : 4 years & above

About the Role :

This role is based in our India Office, reporting to the Head of Development.  

Experience: PHP Developer: 3 - 5 Years

Job Specifications:

• Required (Must Have) skills : Wordpress, Core PHP, OOPS Concept, MySQL, Github
• Desired (Good to have) skills : Linux Command, Basic HTML5 & CSS3, JS/Jquery Ajax, Third-party APIs

Requirements:

1. Must be a self-starter & be able to work with minimum supervision
2. Basic architectural understanding of modern day web applications and enjoy designing a system for speed and scale.
3. Should be able to create a website in HTML, Wordpress, WooCommerce and Laravel (Good to have)
4. Highly Proficient with PHP, MySQL, JQuery, JavaScript, MVC Architecture, OOPs & XSLT
5. Excellent knowledge of PHP frameworks and MVC design patterns
6. Experience of creating database schema
7. Experience with CI/CD tools like jenkins is a plus.
8. Experience with testing and automation frameworks.
9. Good knowledge and experience in AGILE and SCRUM methodologies.
10. Working knowledge of AWS Services, Web Services/REST API etc.
11. Understanding of SEO is plus

What can you expect :

• A fast-paced environment to learn and grow in your career with a market leader with ambitious growth plans.
• Opportunities to learn about and work in different areas of content creation and management and become a well-rounded digital media content professional.
• Dynamic and supportive work culture.
• A passionate team of people working tirelessly to help women across South East Asia and beyond.