Python Developer

Job Title : Python Django Developer

Experience : 6+ Years

Location : Gurgaon (Work from Office)

Job Type : Full-time

Working Days: Monday to Friday (5 Days)

Timings: 9:30 AM – 6:30 PM

Job Summary :

We are seeking a highly skilled and experienced Python Django Developer to join our dynamic team in Gurgaon.

The ideal candidate will have a strong background in backend development, Django frameworks, and RESTful API integration.

You will be responsible for building and maintaining scalable web applications and collaborating with cross-functional teams.

Key Responsibilities :

• Develop, test, and maintain robust, scalable, high-performance web applications using Django and Python.
• Design and implement RESTful APIs and integrate third-party APIs and services.
• Write reusable, testable, and efficient code following best practices and coding standards.
• Work with frontend developers to integrate user-facing elements using server-side logic.
• Optimize applications for maximum speed and scalability.
• Perform code reviews, troubleshoot issues, and ensure application performance and security.
• Collaborate with product managers, designers, and other developers to deliver high-quality products.

Required Skills & Qualifications :

• 6+ Years of hands-on experience with Python and Django framework.
• Strong experience with RESTful APIs, Django ORM, and PostgreSQL/MySQL.
• Proficiency in version control systems like Git.
• Familiarity with frontend technologies such as HTML, CSS, JavaScript, and AJAX.
• Experience with Docker, Celery, Redis, and cloud platforms (AWS/Azure) is a plus.
• Solid understanding of software development principles and design patterns.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.

Good to Have :

• Experience with Django REST Framework (DRF).
• Knowledge of unit testing and CI/CD pipelines.
• Exposure to Agile development methodologies.
• Familiarity with containerization and deployment tools (Docker, Kubernetes).

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.

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

Strong Full stack/Backend engineer profile

Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)

Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures

Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS

Mandatory (AI): Must have hands on experience with using AI tools (eg: Claude, Cursor, GitHub Copilot, Codeium, Deepdcode) for coding.

Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis

Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS

Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring

Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design

Mandatory (Company) : Product companies (Preferably Top product companies, AI native companies, B2B SaaS)

Mandatory (Stability): Must have atleast 2 years of experience in each of the previous companies (if less exp, then proper reason)

Mandatory (Note): Candidates who have owned end-to-end product development or worked on app development projects during their graduation will be highly preferred.

Mandatory (Note 2): The role offers a mix of work setups, including remote, Mumbai (in-office), and Bangalore (in-office) opportunities

• Bachelor's or Master’s degree in Computer Science or equivalent area
• 10 to 20 years of experience in software development
• Hands-on experience designing and building B2B or B2C products
• 3+ years architecting SaaS/Web based customer facing products, leading engineering teams as software/technical architect
• Experiences of engineering practices such as code refactoring, microservices, design and enterprise integration patterns, test and design-driven development, continuous integration, building highly scalable applications, application and infrastructure security
• Strong cloud infrastructure experience with AWS and/or Azure
• Experience building event driven systems and working with message queues/topics
• Broad working experience across multiple programming languages and frameworks with in-depth experience in one or more of the following: .Net, Java, Scala or Go-lang
• Hands-on experience with relational databases like SQL Server, PostgreSQL and document stores like Elasticsearch or MongoDB
• Hands-on experience with Big Data processing technologies like Hadoop/Spark is a plus
• Hands-on experience with container technologies like Docker, Kubernetes
• Knowledge of Agile software development process

At Upswing, we are a passionate and self-driven team of thinkers who aspire to build the rails to connect the legacy financial sector with financial innovators through a simple and powerful banking-as-a-service (BaaS) platform. We’re building our platform putting the focus on pragmatism, reliability, and maintainability. We believe that keeping the engineering complexity under control is key to preserving the development productivity and long-term evolution of a platform.

To bring this vision to life, we are building the infrastructure using Microservices architecture using the latest set of technologies that are also fun to work with such as Java, Scala, Postgres, Akka, Kafka with a completely automated DevOps pipeline from the get-go using tools like Chef, Jenkins, Grafana, Graylog.

We are looking for motivated engineers who will be working in a highly creative and cutting-edge technology environment to build a world-class financial services suite.

Why you should join us:

• You will redefine the financial services landscape for India in the coming years.
• Be part of a core Engineering team that will create innovative and scalable Fintech solutions.
• Work with passionate and experienced engineering, product & business workforce that believes in teamwork, and that helps fast-track learning on solving complex technical challenges.
• We are funded by the leading fintech VC `QED Investors` and other established Founders and Executives of awesome Indian companies.

What you will do if you join us:

• Propose solutions to solve complex system architecture challenges and actively lead the end-to-end development of the system.
• Create robust, flexible, consistent, and easy-to-use APIs
• Continuously strive for performance improvements, code reusability, and readability
• Understand the product in detail and predict potential issues in feature development.
• Mentor and lead junior members of the team

You should have:

• Ability to think of out of the box
• Tech or a higher degree in computer science or a related field.
• 3+ years of experience working on the back-end development for complex distributed systems who are willing to adopt any Programming language as per the requirement.
• Familiarity with any of the following – Java, C++, Scala, Kotlin, and frameworks like Spring, Play, Hibernate, Django, etc.
• Good understanding of Algorithms, Data Structure, OOP, Design patterns, Parallel programming, Multithreading concepts & Event-Driven Systems.
• Understanding of micro-services architecture and best practices.
• Experience with Relational databases such as MySQL, PostgreSQL, Oracle, or any NoSQL database.

It is a plus if you have:

• Familiarity with cloud platforms like AWS (Amazon Web Services), Azure or Google Cloud