Golang Developers

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.

Experience in Core Java and Spring Boot.

 • Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns. 

• Should have the ability to analyze, design, develop and test complex, low-latency clientfacing applications. 

• Good development experience with RDBMS.

 • Good knowledge of multi-threading and high-performance server-side development.

• working knowledge of Kafka

• Excellent problem solving and coding skills. 

• Strong interpersonal, communication and analytical skills. 

• Should have the ability to express their design ideas and thoughts.

About the Role:

We’re looking for a Python Developer to build, optimize, and scale applications that power our trading systems. You’ll work on automation, server clusters, and high-performance infrastructure in a fast-paced, tech-driven environment.

What you’ll do:

• Build and test applications end-to-end.
• Automate workflows with scripts.
• Optimize system performance and reliability.
• Manage code versions and collaborate with peers.
• Work with clusters of 100+ servers.

What we’re looking for:

• Strong Python fundamentals (OOP, data structures, algorithms).
• Experience with Linux commands, Bash scripting.
• Basics of Numpy, Matplotlib, and PostgreSQL.
• Hands-on with automation and scripting tools.
• Problem solver with a focus on scalability & optimization.

Why Dolat?

• Work at the intersection of finance & tech.
• Opportunity to solve complex engineering problems.
• Learn and grow with a team of smart, collaborative engineers.

Senior Python Developer

Experience: 4–8 Years

About the Role

We are looking for a Senior Python Developer Engineer to join our team. This role focuses on building and maintaining data-intensive backend systems, handling large-scale datasets, and exposing insights through robust, scalable APIs.

You will work closely with operational and transactional data, design efficient data pipelines, and build backend services that power analytics, reports, and ERP workflows. The ideal candidate is strong in Python, excellent with data and databases, and capable of owning features end-to-end.

Key Responsibilities

• Analyze large datasets to identify trends, inconsistencies, and operational insights.
• Design, build, and maintain backend services and REST APIs using Python and FastAPI.
• Perform advanced data manipulation and aggregation using Pandas, NumPy, and SQL.
• Design and optimize data pipelines for analytics, reporting, and downstream systems.
• Implement automated data quality checks, validations, and monitoring scripts.
• Work closely with product, application, and business teams to translate raw data into clear, actionable outputs.
• Optimize query performance across relational and analytical databases.
• Expose processed data and insights via APIs or dashboards for consumption by web or ERP applications.
• Ensure high standards of code quality, performance, scalability, and maintainability.
• Write clear documentation for APIs, data flows, and processing logic.

Required Skills & Qualifications

• 4–8 years of strong, hands-on experience with Python in production systems.
• Excellent experience with data handling, processing, and large datasets.
• Strong experience building APIs using FastAPI (or similar frameworks).
• Deep expertise in Pandas, NumPy, and SQL.
• Solid experience with MySQL and PostgreSQL.
• Experience working with analytical or reporting workloads.
• Strong understanding of data modeling, joins, aggregations, and performance tuning.
• Proficiency with Git and collaborative development workflows.
• Strong analytical and problem-solving skills with the ability to work independently.

Good to Have

• Experience with ClickHouse, Databricks, or Elasticsearch.
• Exposure to data engineering concepts such as ETL/ELT, batch processing, and data pipelines.
• Experience with workflow orchestration tools (Airflow, Prefect, Dagster).
• Familiarity with data visualization libraries (Plotly, Matplotlib, Seaborn).
• Experience with AWS services (S3, EC2, RDS, Lambda).
• Prior experience integrating data services into ERP or business applications.

Soft Skills

• Strong analytical mindset and attention to detail.
• High ownership and accountability.
• Ability to work independently with minimal supervision.
• Clear communication and documentation skills.
• Proactive, solution-oriented approach.

Skill set Key words

Java17, Java Spring Boot, Kubernetes/AKS/Docker(Knowledge), Microservices, (MongoDB/DynamoDB)

Role and Resposbilities :

•  Hands on experience in Java back-end development and skills with Spring-boot framework

•  Real life experience with Continuous Delivery principles and related tools (Kubernetes, AKS, Docker)

•  Expertise with Microservices design

•  Understanding of the Design Patterns, Architectural Blueprints, UML and Application Design

•  Experience in stateful application and web sessions

•  Experience with MongoDB, DynamoDB

•  Excellent communication skills and an ability to work in a team

About us:

TAPPP(https://tappp.com/) is building the next-generation digital platform by leveraging cell-based architecture to integrate technologies like Artificial Intelligence, Rules, Workflows, Microservices, FaaS (Function as a Service), Micro-frontends, and Micro apps to create a highly extensible and cutting-edge technology platform that brings together sports fans with broadcasters, sports teams, and sportsbooks to create a marketplace for all aspects of sports and we are available across platforms via the Web, Mobile, Roku, and Tablets.

Building out this brand presents significant product and engineering challenges. At the center of solving those challenges is the TAPPP Product Engineering team which is responsible for the TAPPP product end to end.

TAPPP is led by a very able leadership team drawn from Industry leaders from companies like ESPN, Amazon, Blackhawk, Kargocard, Visa, and

many others.

The organization is flat, processes are minimal, individual responsibility is big, and there is an emphasis on keeping non-productive influences out of the everyday technical decision-making process. Upholding these philosophies will be imperative as we execute our aggressive plan of global expansion over the next 2 years.

Who are we looking for:

A coding enthusiast who loves writing elegant code and developing software systems.

As a senior java developer, you will be a part of the core product development team that is responsible for building high-performant components of the TAPPP platform.

Your responsibility:

• You will be responsible for designing, coding, reviewing, testing, and bug-fixing different modules of the software product that needs to work seamlessly across different environments.
• Write production-quality code in Java, J2EE, and Spring
• You will work in an agile team, working on the TAPPP revolutionary platform. You‘ll be using cutting-edge solutions (Spring Boot, Docker, Kafka, Redis, Continuous Delivery) for creating and maintaining high-load distributed services that are part of our messaging platform.

Mandatory technical skills:

• Hands-on experience with
• Java 1.7+
• RDBMS (MySQL/PostgreSQL)
• JPA (Hibernate or any other ORM framework)
• Spring Boot, Spring MVC, Spring Security
• Hands-on experience in writing extensible RESTful APIs
• Hands-on in Java development (all facets of development) with a sound understanding of OOAD.
• Should have excellent debugging, code review, and design review skills
• Should have a sound understanding of a Microservice based architecture

Good to have technical skills:

Kafka

GraphQL

Redis

AWS (ECS, Cloudwatch)

Other

• Strong independent contributor
• Comfortable working in a start-up environment

The position is based in Pune, India.

1. Relevant Experience required 3 to 5 years.
2. Strong proficiency in python programming language along with expertise in backend development framework such as
3. Django or Flask. (DSA and Design patterns are mandatory).
4. Hand on Experience in REST API development and database such as PostgreSQL.
5. Good knowledge of versions control systems like GIT, Bitbucket
6. Implementation testing strategies such as unit testing (PyTest), integration testing and end to end testing 
7. Basic knowledge of Docker/Podman and Jenkins.
8. Good have if they basic knowledge in Mainframe tech such JCL, and TWs.

• Discussing project aims with the client and development team.
• Designing and building web applications using Laravel.
• Troubleshooting issues in the implementation and debug builds.
• Working with front-end and back-end developers on projects.
• Testing functionality for users and the backend.
• Ensuring that integrations run smoothly.
• Scaling projects based on client feedback.
• Recording and reporting on work done in Laravel.
• Maintaining web-based applications.
• Presenting work in meetings with clients and management.

• A degree in programming, computer science, or a related field.
• Experience working with PHP, performing unit testing, and managing APIs such as REST.
• A solid understanding of application design using Laravel.
• Knowledge of database design and querying using SQL.
• Proficiency in HTML and JavaScript.
• Practical experience using the MVC architecture.
• A portfolio of applications and programs to your name.
• Problem-solving skills and critical mindset.
• Great communication skills.
• The desire and ability to learn.

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.

a. Expert in Core PHP & OOP Concepts

b. Medium in Mysql DB

c. Expert in HTML & JS/Jquery

d. Knowledge on CSS id preferred

e. Experience on any one of the MVC framework is mandatory