Technical architect

Technical Expertise

• Proficiency in Node.js or Python – Hands-on experience with backend development frameworks and best practices.

• Expertise in SQL/NoSQL Databases – Strong experience with MySQL, PostgreSQL, MongoDB, or DynamoDB.

• ElasticSearch & API Development – Strong knowledge of REST APIs, ElasticSearch, and high-availability system design.

• Cloud & DevOps – Hands-on experience with AWS, Kubernetes, Docker, and CI/CD pipelines.

• Data Structures & Algorithms – Strong command over data structures, algorithms, OOD, and design patterns.

• Version Control & Deployment – Experience with Git, GitHub Actions, and other deployment systems.

• High-Performance Systems – Implemented solutions that handle high availability, concurrency, and low-latency requirements.

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.

Integration Developer

Job Description

Roles and Responsibilities

• Design, Code, test, debug, implement and document complex WSO2 sequences.
• Monitoring and logging tool stacks - Splunk/ELK/Prometheus, Grafana 4 Design, Code, test, debug, implement and document complex WSO2 sequences.
• Perform Build activities for WSO2 ESB Middleware integration, involves writing XSLT, ESB coding, configuration, and Analysis activities.
• Trouble shooting various problems in different stages of development using logs files, Traces and Log Analyzer.
• Responsible for understanding the requirement, solution design, coordinate the development and testing activities (end to end)
• Guide the team regarding WSO2 platform best practices, framework, reusable artefacts and ensure code quality and timely deliverables.
• Work with functional and technical customers to determine solutions that drive additional business value.
• Work with Github, Azure Devops and CI tools to automate dev, build, deployment and testing.
• Good knowledge in messaging brokers: WSO2 Message Broker, Apache Kafka.
• Monitoring the server (Monitoring logs and WSO2 metrics).
• Desired Candidate Profile

Desired Candidate Profile

• Candidate must have minimum 2+ years of hands-on experience in WSO2, preferably with WSO2 certification.
• Extensive experience in Integration by using WSO2 Product Stack (API Manager 2.6/3.x, Enterprise Integrator 6.5 and Identity Server 5.7.0)
• Experience in Implementing APIs in WSO2 EI and On-boarding APIs into WSO2 API Manager
• Experience in WSO2 API Manager for designing API facades and designing and implementing API Proxies.
• Hands-on experience in designing and developing high volume web services using API Protocols and Data Formats (REST, JSON, SOAP & XML).
• Must have hands on experience / knowledge with CI tools to automate dev, build, deploy.
• Experience in programming languages: Java, JavaScript, Python
• Experience in on boarding web applications into WSO2 Identity Server for authentication and authorizatio

Qualifications

• Minimum of a Bachelor's or Master’s degree in Computer Science, or a related four-year degree.
•        4 years of hands on experience in Integration

JOB DESCRIPTION 

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RESPONSIBILITIES 

• Expert in Python with knowledge of Python best practices (PEP8) 
• Strong knowledge of python web frameworks such as Django, Flask • Strong knowledge of building RESTful APIs using Django Rest Framework • Good Understanding of Django ORM Libraries 
• Able to integrate multiple data sources and databases into one system • Strong experience on Linux 
• Solid database skills in a relational database (i.e. PostgresSQL,MYSql) • Able to create database schemas that represent and support business processes • Strong unit test and debugging skills 
• Proficient understanding of code versioning tools (git) 
• Experience deploying on AWS is desirable 
• Experience with Docker,Test Drive Development will be a plus 
• Excellent interpersonal, leadership, influence and communication skills • Experience in designing scalable micro-services is desirable 

QUALIFICATIONS 

• 0-1 years of experience as a backend developer 
• At least one product build and published 
• SKILLS Contribute in all phases of the development lifecycle 
• Write well designed, testable, efficient code 
• Work well under pressure and meet deadlines without sacrificing quality • Work with distributed development teams