Senior Software Engineer

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 a Senior Backend Engineer with a strong background in building distributed, scalable, and high-performance backend systems. The ideal candidate has 6+ years of backend engineering experience, including 3+ years in microservices or distributed architecture, and deep expertise in Python, FastAPI, PostgreSQL, Redis, and async I/O patterns.

The candidate will own backend services end-to-end — from architecture and design to implementation, optimization, and production support — while working closely with cross-functional teams to deliver mission-critical systems.

Key Responsibilities

1. Backend Architecture & Development

• Architect, design, and implement backend services using Python (preferably FastAPI) with clean, maintainable, and scalable code.
• Develop microservice components, service communication layers, and distributed workflows.
• Build APIs and backend modules optimized for performance, fault tolerance, and low latency.

2. Distributed Systems & Scalability

• Design and maintain distributed systems capable of handling high throughput and large-scale operations.
• Implement inter-service communication patterns (REST, event-driven, message queues, pub/sub).
• Ensure system resiliency through redundancy, graceful degradation, and autoscaling strategies.

3. Asynchronous & Event-Driven Architecture

• Build async workflows, background tasks, and pipeline services leveraging asyncio or async frameworks.
• Develop event-driven components including producers, consumers, and event processors.
• Optimize I/O-heavy operations to maximize concurrency and throughput.

4. Data Storage, Pipelines & Caching

• Design relational schemas, write optimized SQL queries, and work with PostgreSQL performance tuning (indexes, partitions, query planning).
• Implement caching strategies, rate limiting, distributed locks, and session storage using Redis.
• Build data validation pipelines and compliance-driven data flows ensuring data correctness and auditability.

5. Security, Reliability & Observability

• Implement authentication, authorization, encryption, and secure API practices.
• Build monitoring, alerting, metrics, and tracing systems using modern observability tools.
• Diagnose production issues, identify bottlenecks, and drive long-term fixes and improvements.

6. Code Quality & Technical Leadership

• Conduct detailed code reviews and ensure engineering best practices across the team.
• Participate in technical roadmap planning, architectural discussions, and system design decisions.
• Mentor junior and mid-level engineers; drive a culture of technical excellence and ownership.

Required Qualifications

• 6+ years backend engineering experience.
• 3+ years building microservices or distributed systems.
• Strong expertise in Python and frameworks like FastAPI (or Flask/Django with async exposure).
• Deep understanding of async I/O, concurrency models, and asynchronous programming in Python.
• Strong experience with PostgreSQL (schema design, advanced queries, optimization).
• Hands-on experience with Redis for caching, queues, session management, and distributed patterns.
• Experience with event-driven architectures, message processing, or streaming systems.
• Solid understanding of system design, scalability principles, and API lifecycle management.
• Experience working with CI/CD pipelines, containerization (Docker), and cloud environments.

• Proven experience in any high-level programming languages like Java (Preferably)
• Strong knowledge of data structure, algorithms and coding
• Experience with any Messaging technologies like Kafka or Rab-bitMQ, etc.
• Proven experience in database technologies like NoSQL
• Hands-on experience with Spring, Spring Security, Spring boot, and Hibernate framework.
• Working knowledge of developing Restful Micro services.
• Strong analytical, problem-solving skills.
• Attend team meetings to discuss projects, brainstorm ideas, and put forward solutions to any issues.
• Ability to understand the Platform/domain of the business in detail & Ability to multi-task.
• Good communication and organizational skill

Apply only to this link - https://loginext.hire.trakstar.com/jobs/fk0q2so?source=" target="_blank">https://loginext.hire.trakstar.com/jobs/fk0q2so?source=

LogiNext is looking for a technically savvy and experienced senior developer to lead development efforts. You will help the team grow in size and skills, optimizing their code while working on your own. You will design, and develop the products that exceed client expectations in terms of value and benefit. You will collaborate on scalability issues involving access to massive amounts of data and information.

You have hands-on experience in building secure, high-performing and scalable systems in Java. Your design intuition inclines towards usability, elegance and simplicity. You are biased towards open-source tools and existing frameworks. You have successfully shipped applications with beautiful front-end and intelligent backend. You have demonstrated strong interpersonal and communication skills.

Responsibilities

Co-lead end-to-end design and development efforts for high-volume, low-latency applications for real-time event based systems Lead and direct senior software engineers, define software architecture, collaborate with other teams to explore existing systems, determine areas of complexity and potential risks to successful implementation of platform modules and features Deliver high-availability and high-performance platform using microservices architecture Identify bottlenecks and inefficiencies in code, and devise solutions to production and non-production issues Keep an eye out for open source projects and technology trends that can be introduced in the products Transform business functionalities and production specifications into technical requirements and low level design Be hands-on, adopt a practical approach to software and technology Work with product management and other teams to build highly scalable products

Requirements

Bachelor’s degree in Computer Science, Information Technology or a related field 8 to 10 years of design and development experience in scalable and distributed enterprise applications using Java/J2EE, JPA, Spring framework and RESTful web services Excellent coding skills in Java Experience in managing, implementing and optimizing big data stores such as MySQL, MongoDB, Elasticsearch Experience in deploying applications and using various managed services provided by cloud platforms (AWS, Azure) Experience in front-end technologies HTML5, CSS3, jQuery, AngularJS, React and D3.js is preferred Strong foundation in computer science, with strong competencies in data structures, algorithms and software design Proven ability to drive large scale projects with deep understanding of Agile SDLC, high collaboration and leadership