Python Developer - Django/Flask

Senior Python Developer to lead the development of scalable, high-performance backend systems and data-driven applications. You will work on building robust services, APIs, and data workflows that power real-time and batch applications.This role is ideal for a seasoned developer who thrives on solving complex problems, building reliable software, and working across data and engineering teams. Youll play a key role in designing and developing Python-based systems that interface with big data frameworks, cloud platforms, and analytics tools.Key Responsibilities

• Design and develop robust Python-based backend services and microservices.
• Build RESTful APIs and integrations with third-party systems and internal tools.
• Work with data workflows involving ingestion, transformation, and validation.
• Develop and maintain ETL/ELT pipelines using Python, SQL, and Airflow.
• Collaborate with DevOps teams to deploy, monitor, and scale applications in cloud environments (AWS, Azure, GCP).
• Optimize code for performance, scalability, and maintainability.
• Write unit and integration tests, participate in code reviews, and follow CI/CD best practices.
• Work with cloud storage, databases, and data lake technologies like S3, Parquet, and DuckDB.
• Collaborate with data scientists, analysts, and engineers to enable data access and modeling.

Required Skills & Qualifications

• 5+ years of experience in backend software development, primarily in Python.
• Strong understanding of OOP, modular design, and Python design patterns.
• Experience with web frameworks (e.g., Flask, FastAPI, Django).
• Hands-on experience with data processing tools like Pandas, SQLAlchemy, PyArrow.
• Proficiency with SQL and database technologies (PostgreSQL, DuckDB, etc.).
• Experience with Airflow for workflow orchestration.
• Knowledge of building scalable, distributed applications and microservices.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Solid understanding of version control (Git), testing frameworks (PyTest), and CI/CD pipelines.
• Excellent problem-solving, debugging, and communication skills.

Preferred Skills (Nice to Have)

• Experience with data processing frameworks like Apache Spark or Vaex.
• Familiarity with data storage formats and tools like Parquet, Iceberg.
• Exposure to data streaming platforms (Kafka, Kinesis, Flink).
• Experience integrating backend systems with AI/ML pipelines or BI platforms.
• Understanding of security standards and compliance (GDPR, HIPAA, SOC2).
• Background in metadata-driven or event-driven architectures.

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.

• Drive development and delivery of top notch technology solutions to clients efficiently.
• Lead development of implementation plan, logic and modules to embed in client solutions and client discussion ready documents /presentations.
• Lead in designing, implementing, maintaining and updating applications that are often high-volume and low-latency, required for mission critical systems.
• Lead in refining and improving system stability by continuously refactoring and measuring performance.
• Drive development of actionable, clean, maintainable, testable, reusable, extensible codes, including standardization and automation of processes.
• Provide technical and functional guidance to team members through expert knowledge and hands-on support.
• Manage projects, resource utilization, time schedules and deliveries to clients.
• Proactively drive discussions with stakeholders to understand their business requirements, business context and guide team to provide robust actional solutions.
• Effectively engage with stakeholders – create and nurture and deepen relationships. 
• Ensure positive & creative work-environment, culture of collaborations, speak-up, high level of energy & enthusiasm, curiosity to learn and continuous improvement.
• Inspire, engage, motivate and provide constructive feedback to team members to develop their technical & soft skills and fully support their development aspirations.
• Drive researching and conceptualizing solution approaches, new techniques or solution frameworks and author high quality discussion papers.

Qualifications, Skills and Experiences

• BE / BTech / ME / M Tech in engineering or MCA or similar relevant field.
• 2 to 17 years (Junior, Intermediate, Senior Role & we have multiple openings)of relevant hands-on experience and excellent knowledge of Java, Python, SQL, Relational Databases, DB schema or ORM technologies.
• Excellent knowledge and experience of building applications, platforms and services in Java, Python and MS SQL or at least two of them.
• 5 + years of experience of managing projects, team and stakeholders.
• Knowledge and experience of agile methodologies.
• Excellent communication and inter-personal skills.
• Experience of working in a fast-paced environment and make quality decisions in moderately to high ambiguous work environment.
• Previous work experience in financial services, especially, capital markets is preferred.

What you need to have:

Requirements :

• Minimum 5 years of experience working on Python Environment
• Knowledge of software development methodologies and being able to work on projects individually or as part of a team. should be able to work with AGILE methodology.
• Knowledge of relational databases, version control tools and other development tools.
• Strong interest in learning new skills/technologies and curiosity to explore various technologies
• Should have strong analytical skills
• Good communication.

Must Required Skills:

• Python 3
• should have worked on one or more major Python web frameworks.
• Working knowledge in selenium.
• Worked with APIs development, integration of third-party APIs
• Working knowledge of MySQL databases integration with Python Environment.

Role Summary: Back-end Developer who would contribute towards building a highly flexible and scalable Back- end by bringing deep core technology expertise.

Job Description:

- Develop modules keeping micro services architecture philosophies in check. - Implement and/or oversee implementation of different modules as part of an integrated development team. - Drive evolution of application performance. - Ensure project scalability by having good project architecture

Skill Requirements:

- Strong Node.js. - Strong database technology skillsets, namely MongoDB, MySQL

- Should have experience of using Rabbit MQ.

- Python (Django) skills are a plus. - A skilled and pragmatic approach.

- Experience with user-centred design, test-driven development, iterative/incremental and agile practices. - Experience with AWS deployment a definite plus.

Individual applying to the role should ideally have the following attributes.

-Passionate about back-end Development and continually follow the platform & innovations

-Strong and innovative approach to problem solving and finding solutions

- Excellent communicator (written and verbal, formal and informal)

- Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution

- Ability to multi-task under pressure and work independently with minimal supervision.

- Ability to prioritize when under pressure.

Ideal candidate must have :

- 2+ years of experience in writing code

- Ability to meet tight deadlines

- Can work independently and be a team contributor

- Must have good knowledge of Node, Python and Scripting languages

- Experience in one or more of RDBMS - PostgreSQL, MySQL or Oracle

- Experience with NoSQL and real-time DB - Firebase/Firestore or MongoDB

- Must be able to write concise and high-quality API

- Must be a quick learner, curious and ambitious  

• Proficient in algorithms and data structures.
• Having strong experience in designing data intensive and scalable systems.
• Comfortable with microservices based architecture.
• Knowledge of software engineering processes and unit testing.
• Past experience of mentoring a team of at least two people.
• Prior experience with both relational and non-relational databases.
• Prior experience with caching.
• Ability to debug and hotfix a problem with production in a swift amount of time.
• Communication skills.