Senior Business Analyst (Product Analytics),

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.

JD :

• Master’s degree in Computer Science, Computational Sciences, Data Science, Machine Learning, Statistics , Mathematics any quantitative field

• Expertise with object-oriented programming (Python, C++)

• Strong expertise in Python libraries like NumPy, Pandas, PyTorch, TensorFlow, and Scikit-learn

• Proven experience in designing and deploying ML systems on cloud platforms (AWS, GCP, or Azure).

• Hands-on experience with MLOps frameworks, model deployment pipelines, and model monitoring tools.

• Track record of scaling machine learning solutions from prototype to production. 

• Experience building scalable ML systems in fast-paced, collaborative environments.

• Working knowledge of adversarial machine learning techniques and their mitigation

• Agile and Waterfall methodologies.

• Personally invested in continuous improvement and innovation.

• Motivated, self-directed individual that works well with minimal supervision.

We are looking for a MuleSoft RPA & IDP Developer with at least 5 years of experience in developing and implementing MuleSoft-based automation and integration solutions. The ideal candidate should be proficient in MuleSoft RPA (Robotic Process Automation) and IDP (Intelligent Document Processing) and have hands-on experience with Mule ESB, Anypoint Platform, API Management, and integration workflows.

• Key Responsibilities:Develop and implement automation solutions using MuleSoft RPA & IDP.
• Design and build integration flows using Mule ESB, Anypoint Platform, and API Management.
• Create and configure MuleSoft Connectors for seamless data exchange between systems.
• Optimize business processes by integrating automation solutions into enterprise applications.
• Troubleshoot and debug integration issues to ensure seamless data flow and automation.
• Collaborate with stakeholders to gather requirements and implement best practices for integration.
• Ensure compliance with security standards and industry best practices.
• Required Skills & Experience:5+ years of experience in MuleSoft development, including Mule ESB, Anypoint Platform, API Management.
• Hands-on experience with MuleSoft RPA & IDP for automating business processes.
• Strong experience in designing RESTful APIs, SOAP services, and DataWeave transformations.
• Expertise in integrating cloud-based and on-premise applications using MuleSoft Connectors.
• Knowledge of error handling, logging, security, and performance optimization in MuleSoft.
• Experience in CI/CD deployment processes for MuleSoft applications.
• Strong problem-solving skills and ability to work independently.
• Preferred Qualifications:MuleSoft Certifications (MuleSoft Certified Developer / Architect)
• Experience with Java, Spring Boot, and other integration tools is a plus.
• Prior experience in banking, healthcare, or financial domains is a bonus.
• Application Process:Immediate joiners preferred. Candidates currently serving their notice period and available to join before month-end will be given priority.

Key Qualifications

1) BS/MS in Computer Science or relevant field and 6+ years of experience in building backend services with

Python 3.7.x using Django >= 2.2.1, Django REST framework >= 3.13.1, Flask >=1.1.2 and relational databases

design and maintenance.

2) At least 4 years of solid experience in working with front-end MVC framework React and caching strategies

(memcached, Redis).

3) Expertise in building microservices-based and cloud-based architectures including development and deployment

in AWS.

4) At least 3 years of experience with Web Application technologies: REST, MongoDB, MySQL, NoSQL, AWS

Lambda, API Gateway and web servers Apache, Nginx.

5) Follows coding best practices to produce tested, scalable, reliable and maintainable code.

6) Hands-on experience in developing, deploying, and releasing large-scale applications.

Responsibilities

1) Understand complex requirements, scope and architect major features and perform API technical design for

junior developers to enhance the product at all layers.

2) Think in terms of future possibility of features, backward compatibility, and application performance.

3) Build cloud-based Python Django software products and implement UI components in React.js framework.

4) Write quality code (with comments, unit tests & documentation), design, implement and manage data pipelines

at enterprise scale with data migration and production data maintenance.

5) Collaborate with different teams to conceptualize, design, and build highly scalable and reliable software

solutions with REST APIs following SDLC best practices and DevOps principles.

6) Work closely with product, project and business teams to translate user feedback and company vision into

technical roadmap.

7) Possess strong product-centric mindset. You should be interested in the way software products are built and

comfortable to be proactive with your ideas and opinions.

 Must Have: BE/BTech/ME/MTech in Computer Science or Information Technology

Our Stack

Back-end: Python, Django REST, MySQL, Celery, Rabbitmq, Sqlalchemy, RDS

Front-end: JavaScript, React, HTML, CSS, Bootstrap

Ops: Docker, AWS, RDS, Terraform, Github Actions, AWS Route53, AWS cloudwatch

1. Strong expertise with HTML, CSS, and writing cross-browser compatible code
2. Good understanding of AJAX and JavaScript Dom manipulation Techniques
3. Experience with RESTful services
4. Experience in JavaScript build tools like grunt or gulp
5. Expert in Angular, TypeScript, Angular Material and Server Side Rendering (SSR)
6. Hand on and implements complex Angular applications, directives, controllers, services and components, create the same from scratch
7. Experience in Third Party integrations like Payment Gateway, Facebook, Gmail and any other Google APIs
8. Knowledge of state management tools such, NgRx, Redux

1. Develop User interfaces for Modern Rich Internet Applications with the latest Front End Technologies Perform product analysis and development tasks of increasingly complex nature which may require extensive research and analysis
2. Writing tested and documented JavaScript, HTML and CSS
3. Make design and technical decisions for Angular projects
4. Ensuring high performance

Business Development Manager

Job Description

You will be involved in the production, maintainence and market entry development of wood, bayleaf and other farm based products. 

Your day to day operations will involve everything from ensuring work at all farms to planning new products based on market demand. 

Must haves:

- knowledge about farming or platation of trees, spices, etc
- ability to ride a 2 wheeler
- familiar with wood processing

 

The Role

• Create fast and functional and intuitive interfaces.
• Create mobile responsive web pages that work on desktop, tablets and smart phones.
• Create well-written JavaScript, as well as expanding current JavaScript code.
• Create and maintain web forms that integrate with our CRM.
• Assist with API integration for dynamic email/web prospect and customer communications.
• Translate designs and style guides provided by the UI/UX team into functional user interfaces, ensure cross-browser compatibility and performance.
• Create functional pages and banners from design mock-ups.
• Test code across platforms and browsers.
• Document work and communicate issues when they arise.
• Assist troubleshooting production issues.

Requirement:

• Associate degree in a technology-related field required (bachelor’s degree preferred).
• 3+ years of experience in front-end development in a start-up or similar work environment.
• 1+ experience with Front End frameworks such as Angular 2.0/React JS/React Native.
• Knowledge of web standards and accessibility (W3C and s508).
• Ability to create production-quality CSS, SASS, and HTML for web applications with support for mobile and tablet devices.
• Good understanding of web-based application architecture.
• Designing/coding to overcome browser/platform constraints.
• Excellent problem-solving skills and JavaScript Knowledge.
• Ability to learn new tasks outside immediate range of skills.
• Able to collaborate effectively with both technical and non-technical colleagues
• Deadline oriented and able to multi-task in a fast pace environment.
• Knowledge of unit test frameworks like karma, Jasmine, Mocha, Chai etc.