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A Technical Delivery Manager/Project Manager is required to join the team that will be delivering a large-scale business initiative.

The role is accountable for the technical delivery of a large-scale technical transformation project focusing on upgrading the network fabric of our key data centres. Delivery teams are located in various locations around the globe. 

Specific Responsibilities / Accountabilities:

• Technology delivery – lead the delivery across all technology teams in the workstream throughout the end to end delivery chain
• Planning - Accountable for all technology planning activities, including working closely with Workstream Lead to ensure technology plans are fully and correctly reflected in overall workstream plans and roadmaps
• Dependency management - Ensures all impacts of dependencies are addressed in the overall project plan. Effectively work across the organization to ensure all dependent teams are aligned with the project plans and schedules
• Risk and Issue Management – Ability to proactively manage risk and issues for the workstream in a timely manner and have the confidence to make decisions to mitigate or resolve when required. Work closely with workstream lead to ensure RAIDS are fully documented, mitigated and escalated as required.
• Leadership – Lead and work closely with all members of the team, including business analysts, architects, QA and development management to ensure all aspects from intake, requirements, design and testing are fit for purpose and delivered in a timely manner for planning and execution
• Team performance - Work closely with the Scrum Masters and Vendor management (where required) and QA to ensure the delivery performance of the teams throughout execution and identify opportunities to optimize to improve timeliness, throughput and quality.
• Problem solving and decision making – sound judgment at a senior management level using assertiveness and influencing skills to ensure items are discussed and decisions made and agreed in a timely manner
• Governance – Manage any workstream technology team governance and adhere to the overall programme governance to ensure all stakeholders and team members are aligned and effective in delivery
• Reporting – Ensure reporting is provided as required on a regular basis against roadmap, plans and any performance KPI’s and OKR’s for your teams
• Communication - Working closely and collaboratively with the Project management office to identify and manage all stakeholders, providing visibility and transparency
• Financial Management and Project Accounting – Providing the critical data required for the project management function to monitor and track financial health, analysing resource requirements across multiple projects or across programmes to meet strategic goals

Essential Skills/Experience Required:

• Experience in running scaled agile teams
• Previous experience of working in a large scale, Top Tier Investment Bank or for a wider Financial Services Organisation
• Experience of setting up and working on a Greenfield Programme of work
• Proven experience in delivering large-scale technical programmes in a hands-on capacity
• A software delivery background would be highly beneficial due to the technical nature of the deliverables
• Extensive stakeholder management experience up to senior level, alongside the management of external vendor relationships
• Experience of working in a complex, high-paced environment with a global team
• Excellent communication skills both written and verbal

Key Stakeholders

• Workstream Lead
• PMO
• Scrum Masters/Scrum of Scrums
• Other Delivery Managers for dependencies
• Development leads
• QA Lead
• Product Owners
• Business Sponsors
• Lead BA
• Lead Solutions architects
• Service (Release to BAU)

Core Responsibilities:

• Design, develop, and maintain backend services and APIs using Python or Golang.
• Write high-quality, testable, and maintainable code with a focus on performance and scalability.
• Implement automated tests and contribute to CI/CD pipelines.
• Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
• Troubleshoot production issues and provide timely resolutions.
• Participate in design and architecture discussions to improve system efficiency.
• Contribute to improving development processes, coding standards, and best practices.

Experience and Expertise:

• 2–4 years of experience in backend development with Python or Golang.
• Solid understanding of RESTful APIs, microservices, and distributed systems.
• Strong knowledge of data structures, algorithms, and OOPS principles.
• Hands-on experience with relational and/or NoSQL databases.
• Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
• Proficiency with Git and version control workflows.
• Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.

Skills:

• Strong analytical and debugging skills with the ability to solve complex problems.
• Good communication and collaboration skills across teams.
• Ability to work independently with minimal supervision while being a strong team player.
• Growth mindset – eagerness to learn new technologies and improve continuously.

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 Overview

We are looking for an Automated QA Test Engineer (3–4 years experience) to design and implement

automated testing frameworks that ensure the quality and reliability of Hosted.ai’s core platform. The ideal

candidate will have hands-on experience with Pytest, Python scripting, and test automation systems,

along with the ability to architect test harnesses, plan test coverage, and triage bugs effectively.

Key Responsibilities

● Design and develop automated test frameworks and test harness logic. ​

● Implement end-to-end, integration, and regression tests using Pytest and Python.

● Define and execute test coverage plans for critical components of the platform.

● Conduct bug analysis, triage, and root cause identification in collaboration with

engineering teams.● Ensure tests are reliable, repeatable, and integrated into CI/CD pipelines. ​

●Continuously improve test automation practices and tooling.

● Document test strategies, results, and defect reports clearly.

Requirements

● 3–4 years of experience in software QA, with a focus on test automation.

● Strong background in manual testing.

● Strong hands-on experience with Pytest for UI and end-to-end testing.

● Proficiency in Python coding for test development and scripting.

● Experience architecting test harnesses and automation frameworks.

● Familiarity with CI/CD pipelines and version control systems (Git).

● Solid understanding of QA methodologies, test planning, and coverage

strategies.

● Strong debugging, analytical, and problem-solving skills.

Nice to Have

● Experience testing distributed systems, APIs, or cloud-native platforms.

● Exposure to performance/load testing tools.● Familiarity with Kubernetes, containers, or GPU-based workloads.

📈 Key Responsibilities

● Lead implementation of Jodo in partner institutes

○ Own the entire process of onboarding a partner institute

○ Define ‘custom made’ offerings for the parents of a particular institute ○ Single point of contact between the Jodo institute partnerships team, institute management and Jodo inside sales team

● Account management:

Be responsible for ‘anything and everything’ in the partner institutes

○ Be responsible for parent outreach in the institutes

○ Strategize and execute plans for customer acquisition along with the management – events, referrals etc.

○ P&L owner of allocated accounts

○ Take lead in selling and implementing Jodo’s full suite of financial and payment solutions in the partner institutes

📃Requirements

● 1-3 years of experience in project management, operations, revenue growth

● Freshers from top tier colleges (IITs, NITs, BITS etc.)

● Track record of outperformance / over-achieving targets in previous workplaces

● Experience in leading initiatives and delivering results in a time-bound manner 🤩 Benefits

● Competitive salary, with a strong revenue-based incentive structure

● Opportunity to be part of the early stage fintech start-up and make an impact

● Work with colleagues from strong backgrounds & hungry to succeed ● High performers in this role will be given additional exposure

🔎 What are we looking for?

● Self-starter with a high sense of ownership → Comfortable to work with minimal supervision ● Hungry to learn and grow → Passion to learn & be a better version of oneself; motivated to succeed

● Bias for action → Have the temperament to experiment and execute in uncertainty

● Hustler → Ability to generate resources to solve a problem

● Intellectual honesty → Always seeking and presenting truth irrespective of personal POV or beliefs

● Mission-oriented → Deeply care about delivering value and making an impact on customer’s lives

• 2-5 years of professional Android Application development experience.
• Experience in designing, development, and REST API Integration of Android Applications using Dart, Java, or Kotlin.
• Strong knowledge of Android UI design principles, patterns, and best practices.
• Ability to design, build, and maintain high-performance, reusable, and reliable code.
• Deep knowledge of Android SDK, different versions of android, and handling of multiple screen sizes.

Lead Engineer - 

Responsibilities:

• Leads a project end-to-end and collaborates across functions. Drives planning, estimation and execution.
• Understands requirements well and comes up with efficient design
• Develops complex, well backed and bug-free products. Estimates accurately.
• Takes well-reasoned tech decisions keeping in mind goals and trade-offs
• Becomes a go-to person in more than one area. Provide technical mentoring to team
• Communicates clearly, gets clarifications and establishes expectations for all parties
• Helps establish SDLC best practices and high standards of code quality
• Demonstrates excellent problem solving & debugging skills
• Proactively identifies and resolves issues in requirements, design and code
• Perform peer code reviews and help us all get better.

Requirements:

• Solid experience in JAVA and Kotlin.
• Should have experience in Reactive programming, Asynchronous programming and Unit Testing.
• Has an ability to quickly learn and contribute in multiple codebase.
• Overcomes roadblocks and requires minimal oversight
• Takes initiatives to fix issues/tech debts before assigned to him/her.
• Able to deep dive into codebase and advise QA of possible regression impact.
• Communicates tech decisions through design docs and tech talks.
• Has delivered projects with end-to-end accountability.
• Keeps track of industry trends and introduces right tech/tools for a given job.
• Excellent understanding of software engineering practices, Design Patterns, Data Structures, Algorithms.
• 5+ years of experience in a product-driven organisation.

Roles & Responsibilities:

The candidate is expected to create and lead a team of engineers and drive dev efforts for

Medibuddy and its various products.

The candidate will be part of the Engineering leadership team (IIT/IIM grads) and will help

strategise, execute product roadmap.

Work closely with Product and business teams to strategize or design the features and

product experiments.

Lead a team of 10+ Engineers [backend and/or mobile]

Responsible for engineering delivery in platform & product engineering pods at Medibuddy.

Scale the technology architecture, team and product to drive a 10x growth in next 12-24

months.

Code and Architect key features that form backbone of DocsApp

Conduct performance reviews and mentor and guide the team reporting

Drive adoption best engineering practices in the team and the organization

1. Deliver high quality, scalable and maintainable code at a fast pace.Skills & Qualifications:
2.  9+ yrs. relevant experience in consumer tech/ or SaaS space.
3. Tier 1 background (IIT/BITS/IIIT/NIT), Pass-out from 2014 batch or earlier.

Strong Technical Background: You have strong programming, architecture, DevOps and QA

chops. You should have experience working with a diverse engineering stack in a fast-paced

environment.

Biased toward action. You must be able to do more with less and turn would-be blockers into

opportunities for growth.

Balancing Short Term with Long Term - You have demonstrated strategic execution

balancing short term tactical execution with long term vision. You should be able to adapt

quickly as per the demands of the situation.

Efficient Execution - You must be persuasive, patient, compassionate and possess exquisite

prioritization skills.

Prior management and team-building experience. You'll be managing several direct reports

initially and will have the opportunity to scale and build out a high-performing engineering

team.

Stakeholder management - You complement product and business owners with finding the

right solutions in a timely manner.

Past entrepreneurial experience is a big plus.

Strong grasp of Nodejs/Python stack

Databases/Datastores : Mysql , Redis / Memcache , MongoDB

1. Basic Understanding of Android, iOS, Web Application stacks
2. One of SQS, RabbitMQ, SNS
3. Familiarity with AWS and its services including RDS, ECS, EBS, Cloudwatch, ELK, Redshift
   
   Nice to have -

Logging : ELK, Cloudwatch.

Frontend : html , css , Javascript

Protocols : HTTP, XMPP, MQTT, Socket.io, TCP