Golang & Java/Python Engineer | 4+ yrs | Bangalore

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 Title: Java Lead – Software Engineering

Location: Mohali | Panchkula | Gurugram (Onsite)

Experience: 7+ Years

About the Role:

We are seeking a highly skilled and passionate Java Lead who will be responsible for designing, developing, and leading the implementation of scalable and maintainable product features. As a Lead, you will play a key role in guiding a team, ensuring coding best practices, and resolving complex technical challenges. This is a great opportunity for someone who thrives in a fast-paced environment, is passionate about solving technical problems, and is excited about leading product development end-to-end.

Key Responsibilities:

· Lead a team of developers in designing and building micro-services using Java.

· Decompose feature requests into sizable and estimable pieces of work.

· Deliver scalable, maintainable, and high-quality code within defined timelines.

· Conduct code reviews to ensure adherence to coding standards and best practices.

· Collaborate with cross-functional teams to solve complex technical challenges.

· Act as a subject matter expert for specific product components.

· Debug and resolve critical production issues with detailed root cause analysis.

· Drive adoption of Agile practices, ensuring proper planning, estimation, and delivery.

Required Qualifications:

· Bachelor’s degree in Computer Science or a related field.

· 7+ years of strong experience in Java development.

· 3+ years of hands-on experience in developing and delivering productized software applications.

· Experience in leading teams and mentoring developers.

· Proven ability to design and deliver scalable and maintainable applications.

· Strong problem-solving and analytical skills with a self-driven mindset.

· Excellent written and verbal communication skills.

Preferred Skills:

· Hands-on experience with Java micro-services.

· Familiarity with CI/CD pipelines.

· Strong understanding of Agile methodologies.

· Cloud and containerization exposure with AWS and Docker.

Technology Stack:

· Java

· Micro-services

· SQL

· AWS

· Docker

• Strong experience in core Java programming.
• Good experience in Spring and Hibernate 
• Proficiency with JSF/third party JSF components framework
• Must have at least 2+ years exp. of Web application development with exp. in using any MVC framework
• Knowledge of OOP concepts, industry best practices, and design 
• Professional, precise communication skills
• Work experience writing Unit tests 
• Good understanding of web technology and enterprise-level applications 
• Work experience in applying the best practices of Web Application development
• Working experience in an Agile team especially with SCRUM
• Good to have experience in JavaScript frameworks
• Good to have experience in JSON, HTML5, CSS and XML

Following Skills will be an added advantage 

• Working experience of Prime-Faces
• Knowledge of Spring Web Flow

Behavioral Skill

• Should be self-motivated and a quick learner with a problem-solving mind-set
• Attention to detail and follow-through to achieve good quality and meet deadlines.
• Ability to work effectively in a team as well as in an individual environment
• Should have excellent written and verbal communication skills

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

• Leads more than one projects end-to-end and collaborates across functions. Drives planning, estimation and execution.
• Manages stakeholder expectations and offers scalable, reliable, performant and easy to maintain solutions
• Consistently delivers complex, well backed and bug-free products in time
• Consistently takes well thought technical/design decisions
• Develops expertise in more than one area and shares knowledge with others. able to mentor/train in areas which are new to them.
• Drives people to solve engineering challenges
• Enjoys high respect of Tech and other cross functional teams
• Demonstrates effective communication with project team, management and

internal/external clients as necessary.

• Surfaces both technical and non-technical team challenges and helps resolve them
• Champion for SDLC best practices and high quality standards

• Expert at in RoR, Golang, NodeJS or Python. Good to have exposure to ML.
• Must have experience in cloud computing
• Operates independently with almost no oversight
• Is able to apply domain expertise to think critically and make wise decisions for the

team, taking into account tradeoffs and constraints.

• Communicates tech decisions through design docs and tech talks
• Has delivered multiple projects with end-to-end engineering ownership
• Keeps track of new technology/tools and embraces them as necessary
• 7+ years of experience in product driven organization
• A Bachelors or Masters degree in engineering from a reputed institute (preferably

Years of Experience:- 1.5+

Qualification:- BE Computer Engineering/MCA

Industry:- Software
Location:- Andheri