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About Sentiaflow

Sentiaflow is an AI engineering and IT services company building production-grade agentic AI systems, sitting at the intersection of LLMs and real business operations — data, APIs, permissions, workflow state, human decisions, security, and measurable outcomes. Our initial domain focus is healthcare, particularly clinical trials, where reliability, traceability, and clear human-decision boundaries matter more than a slick demo.

Job Description

As a Level 1 engineer, you'll implement bounded parts of a production agentic workflow under an Agent Captain or senior engineer, connecting models to application services, tools, data sources, and human approval points.

You will:

• Translate a scoped business workflow into typed inputs, outputs, states, actions, and escalation paths
• Build backend services and tool integrations (Node.js/TypeScript or Python)
• Use LLMs only where model judgment adds value; keep rules, validation, authorization, and workflow control in deterministic code
• Design and validate structured model outputs before they touch downstream systems
• Handle partial data, tool failures, duplicate events, retries, timeouts, rate limits
• Add logging, traces, metrics, and decision records for diagnosability
• Write tests and evaluation cases that check whether the full workflow behaves correctly — not just whether output sounds fluent
• Protect sensitive data; participate in code, design, and release-readiness reviews
• Explain implementation trade-offs clearly to engineers and stakeholders

Success in 6 months: own a bounded workflow module end-to-end, integrate models without letting probabilistic output bypass deterministic controls, produce release-ready evaluation evidence, and diagnose cross-boundary failures with less supervision.

Desired Skills

• Approximately 3–6 years hands-on backend/application engineering experience, with demonstrable hands-on work building agentic systems — not just calling an LLM API from a backend service
• LangGraph (or comparable agent orchestration framework) experience is required — building multi-step, stateful agent workflows with conditional branching, tool-calling loops, and recovery/retry logic, not a single-prompt wrapper
• Deep RAG experience, including:
• Chunking strategy design, embedding model selection, and retrieval evaluation (not just "connected a vector DB")
• Hybrid search (dense + sparse/keyword), re-ranking, and query rewriting/decomposition
• Handling retrieval failure modes: irrelevant context, stale data, contradictory sources, citation/grounding accuracy
• Measuring RAG quality (precision/recall on retrieval, faithfulness/groundedness of generation) — not eyeballing outputs
• Experience designing agent state machines / workflow graphs: tool selection, planning loops, human-in-the-loop interrupts, checkpointing, and state persistence across long-running workflows
• Strong programming in JS/TypeScript (preferred), Python, Java, C#, or Go
• Solid grasp of API design, databases, async processing, auth, testing, deployment
• Comfort reasoning about state, retries, idempotency, concurrency, permissions, audit trails, failure recovery
• Real production debugging experience, not just greenfield builds
• Clear technical communication

We're looking for engineers who've actually built and tuned agentic/RAG systems in production — not those who've only wired together frameworks or prompted an LLM API.

Nice to have: experience with other orchestration frameworks (CrewAI, AutoGen, custom state machines), observability/eval tooling (LangSmith, Langfuse, custom trace pipelines), healthcare or regulated-industry background. Bachelors from IIT or NIT highly preferred.

LOCATION

Delhi/Gurgaon (travel readiness outside home residence is important)

EXPERIENCE 5+ years

ROLES & RESPONSIBILITIES :

• Design, develop, and maintain scalable and secure web and desktop applications using .NET technologies.

• Design, develop, and maintain web and desktop applications usin.NET Framework and .NET Core technologies.

• Build scalable, secure, and high-performance web applications using ASP.NET, MVC, and Web API.

• Develop and optimize data access layers using Entity Framework and interact with SQL Server or other relational databases.

• Implement responsive front-end interfaces using HTML, CSS, JavaScript, and modern frameworks like Angular or React.

• Ensure cross-platform compatibility and responsiveness for web applications.

• Write clean, maintainable, and testable code following coding standards and best practices.

• Collaborate with cross-functional teams including designers, testers, and other developers throughout the SDLC.

• Participate in code reviews, troubleshooting, and performance tuning.

• Ensure application security, scalability, and reliability.

SKILLS AND QUALIFICATION

• 5+ years of professional experience in .NET application development.

• Minimum 5 years of experience in .NET development.

• Strong hands-on experience with C#, ASP.NET MVC, .NET Core, and Web API.

• Proficiency in Entity Framework and SQL Server or other relational databases.

• Solid front-end development skills with HTML, CSS, JavaScript, and experience with Angular or React.

• Strong understanding of object-oriented programming and design patterns.

• Experience in full-stack development with an ability to manage both backend and frontend requirements.

• Familiarity with version control systems like Git.

• Excellent debugging, problem-solving, and analytical skills.

Job Title : Backend Developer (.NET Core)

Experience : 2 to 5 Years

Work Environment :

• Hybrid model : Minimum 3 days/week from office
• Office Location : Hauz Khas, Delhi
• Flexible working hours based on project needs

Job Summary :

We are looking for a skilled and motivated Backend Developer with 2–5 years of experience, proficient in .NET Core and experienced with cloud platforms (AWS preferred or Azure).

You will be responsible for building scalable backend services and RESTful APIs, integrating with cloud components, and ensuring robust data handling.

Key Responsibilities :

• Design, develop, and maintain robust backend systems using .NET Core 6 or above.
• Develop and manage Web APIs for frontend and third-party integrations.
• Work with cloud infrastructure (preferably AWS: Lambda, EventBridge, SQS, CloudWatch, S3; or Azure: AppService, Functions, AzureSQL, EventHub, Blob Storage).
• Work with databases such as SQL Server, PostgreSQL, and tools like PGAdmin.
• Utilize Entity Framework Core, Dapper, or equivalent ORM tools.
• Collaborate using Git or TFS for version control.
• Develop, debug, and maintain code in Visual Studio.
• Write optimized and scalable SQL queries and stored procedures.
• Participate in code reviews and maintain high code quality.

Required Skills :

• Proficient in .NET Core 6+.
• Experience with RESTful API development.
• Strong command of SQL and relational databases.
• Familiarity with cloud platforms (AWS preferred, Azure acceptable).
• Good understanding of Git/TFS.
• Hands-on experience with tools like Visual Studio, SQL Server, PGAdmin.
• ORM experience with Entity Framework Core, Dapper, or similar.

Nice to Have :

• Exposure to asynchronous processing or event-driven architecture.
• Experience working with Cursor-based data fetching or streaming.

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.

Integration Lead

Job Description

This role must be capable of building Dot net application and integration capabilities to enable microservice architecture. In addition to being hands on developer, the role requires the individual to leading and work with Dot net developers and integration developers, overseeing the end to end technical working to deliver features. Candidates who like to experiment and learn/discover new technologies, methods, tools with a direction to bring new capabilities to the product will be suitable

Key Responsibilities

• Perform Product Discovery proof of concepts as directed by Product manager
• Design, develop, and maintain both new and existing code, ranging from client-side development using JavaScript, HTML, and CSS, to server-side code using C# and ASP.NET MVC, Web API, Windows services, and ADO.NET for data persistence and retrieval.
• Write readable, extensible, testable code, while being mindful of performance requirements. • Create, maintain, and run unit tests for both new and existing code, with a goal of delivering defect-free and well-tested code to QA.
• Capable of developing restful services using Dot net framework and other integration tools
• Work with management to create and adhere to schedules, while maintaining flexibility to adapt to shifting market demands.
• Translate mockups and wireframes into functioning front-end code.
• Write and maintain documentation for new and existing features.
• Keep up-to-date on best practices and new technologies.
• Rapid prototyping, and presenting conceptual design and working prototypes to management.
• Conduct design and code reviews and collaborate to ensure your own code passes review.
• Work with Product Management to analyze require

Required Skills & Experience

• Experience in Dot Net framework preferably in cloud based platforms/infrastructure
• Experience in integration enablement preferably in REST APIs
• Experience in Database languages and stored procedures, database query optimization
• Experimental knowledge in a broad technical aspects like SSO (SAML2/Oauth2), Security, RPA, Microservices architecture

Qualifications

BE with 6+ years of experience in product development

Primary Skills:

.Net/.Net Core, C#, OOPS and SQL Server as a key technology, which covers frontend and backend work. Knowledge of DevOps (building and deployment) and the Cloud is nice to have.

Roles & Responsibilities

Participate in requirements analysis.

Collaborate with internal teams to produce software design and architecture.

Write clean, scalable code using .NET programming languages.

Test and deploy applications and systems.

Revise, update, refactor and debug code.

Improve existing software.

Eligibility

3+ years of experience in building web applications. Passion for building and delivering great software with a strong sense of ownership

Advanced proficiency in C#, very clear OOPS concepts, In-depth knowledge of the .NET framework, ASP.NET, MVC, Web API, REST APIs, OAuth 2.0/ Authentication/ Authorization

Strong expertise in SQL programming, with experience of writing & optimizing queries that access/process millions of records

Good to have any scripting(powershell) knowledge, JS based UI Frameworks

Outstanding analytical, problem-solving, and communication skills

Experienced in complex logic designing and implementation

Should have worked in Agile development environment and best practices

Good to have experience in secure development practices