- Developing and maintaining all server-side network components.
- Ensuring optimal performance of the central database and responsiveness to front-end requests.
- Collaborating with front-end developers on the integration of elements.
- Designing customer-facing UI and back-end services for various business processes.
- Developing high-performance applications by writing testable, reusable, and efficient code.
- Implementing effective security protocols, data protection measures, and storage solutions.
- Running diagnostic tests, repairing defects, and providing technical support.
- Documenting Node.js processes, including database schemas, as well as preparing reports.
- Recommending and implementing improvements to processes and technologies.
- Keeping informed of advancements in the field of Node.js development.

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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.
Role
We are looking for a Full Stack Engineer who can own the entire technical stack, design systems that scale, and ship products fast. You will work across frontend, backend, and AI systems, making key architectural decisions while building a product used by real users.
This role offers high ownership, where engineers move ideas to production quickly and take responsibility for both technical decisions and product impact.
What would you do?
- Build and own the end-to-end platform using React, Node.js microservices, Python AI agents, and AWS.
- Design and implement scalable system architecture, including caching, databases, and state management between AI and UI.
- Develop AI-powered backend services and orchestrate LLM workflows using modern frameworks.
- Build highly interactive front-end experiences using modern React and real-time communication tools.
- Define and maintain engineering best practices, including CI/CD pipelines, monorepo structures, and development workflows.
- Collaborate closely with users and product teams to identify problems and ship impactful solutions.
- Continuously simplify systems by removing unnecessary complexity and keeping architecture clean.
Who should apply?
- Engineers with 4+ years of experience building and shipping production-grade products.
- Strong understanding of system design, architecture, and scalable backend systems.
- Hands-on experience with Python (FastAPI, async systems) and LLM-based applications.
- Proficiency in JavaScript / TypeScript with Node.js and modern backend frameworks.
- Experience building modern frontend applications using React (React 18+).
- Familiarity with databases such as Redis, PostgreSQL, or MongoDB, and designing scalable APIs.
- Engineers comfortable working in fast-paced environments with high ownership and minimal process overhead.
Technical Skills
- Backend: Node.js, Express, Python, FastAPI
- Frontend: React (React 18+), interactive UI development
- AI/LLM Systems: LLM orchestration, multi-model integrations
- Databases: Redis, PostgreSQL, MongoDB
- Infrastructure: AWS, CI/CD pipelines, microservices architecture
- Real-time Systems: Socket.IO, Server-Sent Events (SSE)
Requirement:
1. Node Js min 2 yrs exp.
2. Database - MONGO, SQL, etc. min 2yrs experience with these.
3. Caching - REDIS, MEMCACHED etc
4. Message Queues - RABBIT MQ, Kafka, etc.
Location: Delhi (Work from office).
Package : Upto 12 LPA
Required Core Tech Stack:
We're looking for engineers with hands-on experience across most of the following technologies:
- Python Backend Development (3+ years)
- FastAPI (2+ years of production experience required)
- PostgreSQL
- MongoDB
- Redis
- Docker
- Celery or equivalent async task queues
- REST APIs & Microservices
- AWS/GCP
- GitLab CI/CD
The selected Sr. Backend engineer will ship the backbone that powers 4 million + learners in 64 countries—owning APIs that crunch 1 billion learning events & the AI that supports it with <200 ms latency.
What You'll Do:
At LearnTube, we’re pushing the boundaries to revolutionize how the world learns. As a Senior Backend Engineer, your roles and responsibilities will include:
- Shipping Micro-services – Build FastAPI services that handle ≈ 800 req/s today and will triple within a year (sub-200 ms p95).
- Power Real-Time Learning – Drive the quiz-scoring & AI-tutor engines that crunch millions of events daily.
- Design for Scale & Safety – Model data (Postgres, Mongo, Redis, SQS) and craft modular, secure back-end components from scratch.
- Deploy Globally – Roll out Dockerised services behind NGINX on AWS (EC2, S3, SQS) and GCP (GKE) via Kubernetes.
- Automate Releases – GitLab CI/CD + blue-green / canary = multiple safe prod deploys each week.
- Own Reliability – Instrument with Prometheus / Grafana, chase 99.9 % uptime, trim infra spend.
- Expose Gen-AI at Scale – Publish LLM inference & vector-search endpoints in partnership with the AI team.
- Ship Fast, Learn Fast – Work with founders, PMs, and designers in weekly ship rooms; take a feature from Figma to prod in < 2 weeks.
What makes you a great fit?
Must-Haves (Applicants without these skills are unlikely to move forward):
- 3+ yrs Python back-end experience (FastAPI)
- Strong with Docker & container orchestration
- Hands-on with GitLab CI/CD, AWS (EC2, S3, SQS) or GCP (GKE / Compute) in production
- SQL/NoSQL (Postgres, MongoDB) + You’ve built systems from scratch & have solid system-design fundamentals
Nice-to-Haves
- k8s at scale, Terraform,
- Experience with AI/ML inference services (LLMs, vector DBs)
- Observability: Prometheus, Grafana, OpenTelemetry
Why LearnTube?
- Build AI products at global scale – Your work will power learning experiences for 4M+ learners across 64 countries.
- Work directly with experienced founders – Collaborate closely with founders who are deeply involved in product and engineering decisions, giving you ownership and a direct impact on the product roadmap.
- Learn fast – Join a high-performing team where you'll own features end-to-end and solve challenging backend and distributed systems problems.
- Recognized AI startup – LearnTube is a Google Top 20 AI Startup and part of Google's AI First Startup Accelerator, with access to cutting-edge AI technology and mentorship.
Why Work With Us?
At LearnTube, we believe in creating a work environment that’s as transformative as the products we build. Here’s why this role is an incredible opportunity:
- Cutting-Edge Technology: You’ll work on state-of-the-art generative AI applications, leveraging the latest advancements in LLMs, multimodal AI, and real-time systems.
- Autonomy and Ownership: Experience unparalleled flexibility and independence in a role where you’ll own high-impact projects from ideation to deployment.
- Rapid Growth: Accelerate your career by working on impactful projects that pack three years of learning and growth into one.
- Founder and Advisor Access: Collaborate directly with founders and industry experts, including the CTO of Inflection AI, to build transformative solutions.
- Team Culture: Join a close-knit team of high-performing engineers and innovators, where every voice matters, and Monday morning meetings are something to look forward to.
- Mission-Driven Impact: Be part of a company that’s redefining education for millions of learners and making AI accessible to everyone.
Desired Experience
3+ years
Job Description
What You’ll Do
- Design financial systems for scale. Measure, plan, iterate.
- Writing reusable, testable, and efficient code
- Design and implementation of low-latency, high-availability, and performant applications
- Setup and own the engineering architectures built around event sourcing, application sharding, database sharding, service communication mesh, etc.
- The tech: Go, Google Cloud Spanner, Kafka, Redis
What you bring to the table
- 3+ years of experience. Relevant experience is preferred.
- Knowledge of 2 common programming languages - Java & Node / Rust /Python & Go
- Comfortable in linux command line, AWS or GCP
- Strong unit test and debugging skills
- Great communication skills
Bonus if you have…
- Love building great products and engineering systems from scratch
- Are a Self-starter, Hustler and Curious to Learn
- Have an understanding of fundamental design principles behind a scalable application
- Thrive in an early-stage startup environment with less stability and more ambiguity
- Have an interest in financial products and/or cryptocurrency
Key Responsibilities:
- Rewrite existing APIs in NodeJS.
- Remodel the APIs into Micro services-based architecture.
- Implement a caching layer wherever possible.
- Optimize the API for high performance and scalability.
- Write unit tests for API Testing.
- Automate the code testing and deployment process.
Skills Required:
- At least 3 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds.
- Excellent hands-on experience using MySQL or any other SQL Database.
- Good knowledge of MongoDB or any other NoSQL Database.
- Good knowledge of Redis, its data types, and their use cases.
- Experience with graph-based databases like GraphQL and Neo4j.
- Experience developing and deploying REST APIs.
- Good knowledge of Unit Testing and available Test Frameworks.
- Good understanding of advanced JS libraries and frameworks.
- Experience with Web sockets, Service Workers, and Web Push Notifications.
- Familiar with NodeJS profiling tools.
- Proficient understanding of code versioning tools such as Git.
- Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms.
- Should be a fast learner and a go-getter — without any fear of trying out new things Preferences.
- Experience building a large scale social or location-based app.
We are looking for a Node.js Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You may also need to integrate the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is desirable, but not essential.
We are a top-quality boutique software development company. Delivering solutions that meet customers’ needs, business expectations. We combine proven techniques, industry knowledge and our technology expertise of skilled software developers to deliver high-quality software solutions.
Duties and responsibilities:
- Work as part of a team developing applications and services using Agile development methods.
- Contribute to team and organizational improvements in process and infrastructure.
- Code, test and operate node.js based services.
- Effectively use tools and ingenuity to identify and fix defects before they become a problem.
Requirements and qualifications:
- Previous working experience as a Node.js Developer for 2 years or more.
- In depth knowledge of Node.js.
- Hands on experience with HTML, CSS, and AJAX.
- Applicable knowledge of web libraries and frameworks.
- Familiarity with the whole web stack, including protocols and web server optimization techniques.
- Strong analytical skills and problem-solving aptitude.
- Ability to work with stakeholders and fellow developers.
- Good understanding of SQL databases.
- Good understanding of REST APIs.
- Participate in the development of application software
- Own the detailed design of the system.
- Comfortable in design, implementation, testing, and documentation
- Ensure quality by writing developer level tests (unit, component, etc.)
- Works with the team for the quality and timely deliveries.
- Creates products according to the specifications and software development process
- Helps the team meet their daily and iteration objectives
- Works to remove internal and external impediments in the Scrum team
- Facilitates continuous improvement with regular inspect , Adapt and team retrospection, Interface and Participate in Scrum of Scrum
Skills and experience
- Bachelor’s or master's degree in Computer Science or related field
- 6-7 years’ experience hands-on in Node JS experience, Good Java script fundamentals. Python experience will be a plus.
- Should be experienced in web-based applications and micro-services architecture.
- Experience in relational databases ( PostgreSQL or Redshift)
- Exposure to MOCHA, CHAI test framework
- Knowledge in Test Driven Development.
- Experience of working in Cloud environments like AWS etc
- Knowledge of deploying application on Cloud Foundry
- Excellent coding and debugging skills. Knowledge of design patterns and practical application of the same
- Knowledge of Privacy & Security Rules, aspects for Software is a plus
Personal Characteristics
- Good communication and documentation skills.
- Self-starter, quick learner, ability to work with teams.
- Software Craftsmanship mindset.
- Proactive and self-driven possesses a due sense of urgency.
- Ability to stay focused on the target to deliver in an agile manner.
- Openness to collaborate in interest of project/organization.
- Shall be very good technically; good problem-solving abilities.
- Working with multisite teams, Quality conscious and Process & customer Oriented.
Role: Javascript Developer [Backend Developer + Frontend]
Opening for MERN Stack Developer to lead scalable Development with competencies in:
- Expert of NodeJS, Express & MongoDB, REST Apis
- Experience in Docker
- Exposure to React, Redis, will be preferred.
Industry: IT-Software / Software Services (SaaS)
Functional Area: Internet & Cloud Technologies
Role Category: Programming & Deployment
Role: Software Developer
Employment Type: Permanent Job, Full Time
Desired Experience: 2-4 years
Desired Qualifications: B.E. / B.Tech / M.Tech / MCA
Key-Skills:
Node.js | Express | REST Api | Javascript | Redux-Saga | MongoDB | Web security TLS/SSL | Web Sockets | Promises & Call-backs | Database & Data structures | Redis | Elasticseach | React.Js
Key Deliverables:
- New feature design and implementation, Bug fixing, testing and performance tuning.
- Work on the API and Engines.
- Code deployment on cloud & maintenance of the same.
- Take complete ownership of a product/feature from setup to deployment.
- Time-bound feature delivery & updating.
- Cost-saving using efficient & effective technologies
Role and Responsibilities:
- Work on back-end (+ frontend integration) development of core scripts using NodeJS / MongoDB /Express /Redux, and Redis.
- Manage Key-value based databases like Redis.
- Active participation in the development of a sophisticated platform as one of the leading developers.
- Document code consistently throughout the development process by listing a description of the program, special instructions, and any changes made in database tables on procedural, modular and database level.
- Respond promptly and professionally to bug reports.
- Knowledge of bluebird.js (Promises), Async, etc will be of advantage.
- Coding and programming using Object-Oriented Programming, Data Structure and Algorithms, architecture/ design and build RESTful API.
- Passionate about building products and features and build the product from scratch with thrust on Web security, TLS/SSL, web sockets, etc
- Knows one or more of Wireframes/ Prototyping/ Functional Documentation of business.











