Data Engineer - AWS

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.

We are looking for passionate people who love solving interesting and complex technology challenges, who are enthusiastic about building an industry first innovative product to solve new age real world problems. This role requires strategic leadership, the ability to manage complex technical challenges, and the ability to drive innovation while ensuring operational excellence. As a Backend SDE-2, you will collaborate with key stakeholders across the business, product management, and operations to ensure alignment with the organization's goals and play a critical role in shaping the technology roadmap and engineering culture.

Key Responsibilities

• Strategic Planning: Work closely with senior leadership to develop and implement engineering strategies that support business objectives. Understand broader organization goals and prepare technology roadmaps.
• Technical Excellence: Guide the team in designing and implementing scalable, extensible and secure software systems. Drive the adoption of best practices in technical architecture, coding standards, and software testing to ensure product delivery with highest speed AND quality.
• Project and Program Management: Setting up aggressive as well as realistic timelines with all the stakeholders, ensure the successful delivery of engineering projects as per the defined timelines with best quality standards ensuring budget constraints are met. Use agile methodologies to manage the development process and resolve bottlenecks.
• Cross-functional collaboration: Collaborate with Product Management, Design, Business, and Operations teams to define project requirements and deliverables. Ensure the smooth integration of engineering efforts across the organization.
• Risk Management: Anticipate and mitigate technical risks and roadblocks. Proactively identify areas of technical debt and drive initiatives to reduce it.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 1-3 years of experience in software engineering
• Excellent problem-solving skills, with the ability to diagnose and resolve complex technical challenges.
• Proven track record of successfully delivering large-scale, high-impact software projects.
• Strong understanding of software design principles and patterns.
• Expertise in multiple programming languages and modern development frameworks.
• Experience with cloud infrastructure (AWS), microservices, and distributed systems.
• Experience with releational and non-relational databases.
• Experience with Redis, ElasticSearch.
• Experience in DevOps, CI/CD pipelines, and infrastructure automation.
• Strong communication and interpersonal skills, with the ability to influence and inspire teams and stakeholders at all levels.

Skills:- MySQL, Python, Django, AWS, NoSQL, Kafka, Redis, ElasticSearch

Job Role:

As a senior R&D Java Engineer, you will work in a highly collaborative, dynamic environment. Your work will impact a lot to make world bit safer place. You’ll design creative solutions to problems faced by companies due to cyber attacks. You will work closely with other partners such as product and pre-sales managers, UI developers, and other software engineers to develop new product offerings and improve the efficiency of the solution.

Responsibilities:

• Develop, modify, and implement, the software components of Nimesa Product.
• Assist QA Engineers with the creation and review of the test cases
• Write junits and test automation if anything required to have the coverage
• Assist other Engineers with the creation of detailed software design specifications.
• Keep an eye out for technology trends, and open-source projects that can be used.

Requirements:

• Bachelor's or Master's degree in computer science or relevant fields.
• At least 3+ years experience in end-end software development for large design and coordinating project teams in the SaaS industry.
• Software development experience with Java and Spring / Springboot, RabbitMQ, MYSQL etc
• Must have worked on fairly complex products from scratch
• Strong knowledge of data structure, multithreading and other comp science concepts (SQL or NoSQL)
• Excellent social and communication skills
• Demonstrated expertise in building Web Applications, Enterprise Applications, Web Services, and Management at scale is a requirement.
• Experience with Design patterns
• Knowledge of cloud-based architectures, deployment and operational aspects of Amazon Web Services cloud

B.Tech./ BE - Computer, IT, Electronics only

Requirements:

• 3+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

Skills:

• 3+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.
• Java
  Agile and Kafka
  Microservices
  Springboot
  NoSQL/MongoDB
  Scrum