Python Architect

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.

Job Role- Sr. Backend Developer (Python –Django)

Work Experience – 3-5years Roles and Responsibilities

• Understanding product requirements and convert to code

• Resolving bugs

• Stay on top of the product to ensure performance and scalability

• Ensure code quality and maintainability by following best practices and coding standards.

• Understand and keep the technical documentation up-to-date

• Implement RESTful APIs and integrate with front-end components and third-party services

• System architecture and design skills

Mandatory Experience:

• 3+ years of experience in REST API development with any Python based frameworks (Django, Django REST framework (DRF).

• 3+ years of experience in web development with Python

• 3+ years of experience with MySQL, PSQL

• 3+ years of experience with Git

• 3+ years of database programming experience (Postgres, SQL, ability to write complex queries)

• 3+ years of experience with Agile development cycle Good to have

• Contribution in any open-source projects

• Experience or understanding with DevOps

• Experience with agile development methodologies like Scrum

• API design & creation (e.g. OpenAPI)

• Experience in Test Driven Development

• Experience working in a product-based company Behavioral Skills

• Incessant problem solver

• Driven and eager to learn

• Optimistic and open to receiving feedback

• Highly organized and able to multitask

• Self –Starter to help with the design and programming of web applications. ∙

• Superior analytical and problem-solving skills

• Outstanding written and verbal communication skills

• Able to work in fast pace continuously evolving environment and ready to take up uphill challenges

• Able to understand cross cultural differences and can work with clients across geographies

At Pipaltree, we’re building an AI-enabled platform that helps brands understand how they’re truly perceived — not through surveys or static dashboards, but through real conversations happening across the world.

We’re a small team solving deep technical and product challenges: orchestrating large-scale conversation data, applying reasoning and summarization models, and turning this into insights that businesses can trust.

Requirements:

• Deep understanding of distributed systems and asynchronous programming in Python
• Experience with building scalable applications using LLMs or traditional ML techniques
• Experience with Databases, Cache, and Micro services
• Experience with DevOps is a huge plus

Job Description:

§ Understanding client requirements & functional specifications.

§ Developing and maintaining dynamic websites and web applications.

§ Ensuring fool proof performance of the deliverable.

§ Coordinating with co-developers and other related departments.

§ Sending regular updated about the project status

Desired Candidate Profile:

· Proficient knowledge of a back-end programming language - one or more from Python, JavaScript, NodeJS

· Proficient knowledge of back-end server frameworks - Flask

· Proficient knowledge in handling any from JSON, XML & YAML

· Databases: MongoDB

· Proficient In configuring backend in Nginx Server

· Experience in building the API services from scratch - Project structuring, setting up environment objects, build reusable components, etc,

· IDE: Visual Studio Code, PyCharm Notepad++.

· Should have excellent written & oral communication skills (English)

· Must have the capacity to work independently and also as a part of a team

The Risk team is responsible for overall risk framework and strategy for the organization. The team develops various risk models, arrives at various sector reports from a risk perspective and provides in depth analysis and recommendation around risk profiles of various clients.

In this role, the person is responsible for playing a leadership role in the Risk function to identify, assess, monitor and make timely and measured judgments on all current and potential future risks faced, in order to protect the organization’s interest, assets and reputation of the group along with growing shareholder value and profitability.

Responsibilities

• Manage risk for the retail and wholesale portfolio. Should have managed organization level Risk Policies, Credit Underwriting and Collection functions.
• Manage risk framework for the organization - including updating, establishing new risk management mechanisms, to identify, assess, monitor, measure and control a broad spectrum of risks. Ensure all policies and frameworks are kept updated and deployed to the optimum level.
• Develop continuous monitoring and improvement of the quality of the organization's credit and lending portfolio through credit policy direction and implementation.
• Possess a complete understanding the business. Evaluate, improve, and monitor the business, including assisting in reporting to the Board and Board Committees and providing leadership in the effectiveness of credit risk management controls, systems, and processes across the organization.
• Lead and mentor a team of analysts.

• Possess 7+ years of relevant experience in financial services industry in a risk role.
• Exposure to both wholesale and retail risk in a banking environment will be preferred. Some experience in a business / sales role within the banking / NBFC space will be an added advantage.
• Should have held a position of authority in terms of allocation and appropriating limits.
• Sector understanding in financial institution space and good knowledge of interpreting financial trends.
• High proficiency in Python and SQL/NoSQL.
• Experience with big data and cloud computing e.g., PySpark, data lake is a plus.
• Outstanding written, verbal and interpersonal communication skills.
• Ability to speak at various levels of an organization (CXOs to analysts).
• Have demonstrated resilience – stayed with companies and taking businesses to scale, have preferably not ‘hopped jobs. Strong organizational skills and excellent follow-through.
• Present / articulate / position an idea compellingly and ability to work in a fast-paced dynamic environment.
• Excellent communication and presentation skills.
• Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work.
• Learns continuously; Seeks out knowledge, ideas and feedback.