SDE- Backend+Devops

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 Description:

We are looking for a Lead Java Developer – Backend with a strong foundation in software engineering and hands-on experience in designing and building scalable, high-performance backend systems. You’ll be working within our Digital Engineering Studios on impactful and transformative projects in a fast-paced environment.

Key Responsibilities:

• Lead and mentor backend development teams.
• Design and develop scalable backend applications using Java and Spring Boot.
• Ensure high standards of code quality through best practices such as SOLID principles and clean code.
• Participate in pair programming, code reviews, and continuous integration processes.
• Drive Agile, Lean, and Continuous Delivery practices like TDD, BDD, and CI/CD.
• Collaborate with cross-functional teams and clients for successful delivery.

Required Skills & Experience:

• 9–12+ years of experience in backend development (Up to 17 years may be considered).
• Strong programming skills in Java and backend frameworks such as Spring Boot.
• Experience in designing and building large-scale, custom-built, scalable applications.
• Sound understanding of Object-Oriented Design (OOD) and SOLID principles.
• Hands-on experience with Agile methodologies, TDD/BDD, CI/CD pipelines.
• Familiarity with DevOps practices, Docker, Kubernetes, and Infrastructure as Code.
• Good understanding of cloud technologies – especially AWS, and exposure to GCP or Azure.
• Experience working in a product engineering environment is a plus.
• Startup experience or working in fast-paced, high-impact teams is highly desirable.

Job Title: Deployment Lead (Python, Linux, AWS) 

Location: Coimbatore

Overview 

We are seeking an experienced Deployment Lead to oversee the end-to-end deployment lifecycle of our applications and services. The ideal candidate will have deep expertise in Python, strong Linux administration skills, and hands-on experience with AWS cloud infrastructure. You will work closely with engineering, DevOps, QA, and product teams to ensure reliable, repeatable, and scalable deployments across multiple environments. 

Key Responsibilities 

• Lead and manage deployment activities for all application releases across development, staging, and production environments. 
• Develop and maintain deployment automation, scripts, and tools using Python and shell scripting. 
• Own and optimize CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline). 
• Oversee Linux server administration, including configuration, troubleshooting, performance optimization, and security hardening. 
• Design, implement, and maintain AWS infrastructure (EC2, S3, Lambda, IAM, RDS, ECS/EKS, CloudFormation/Terraform). 
• Ensure robust monitoring, logging, and alerting using tools such as CloudWatch, Grafana, Prometheus, or ELK. 
• Collaborate with developers to improve code readiness for deployment and production reliability. 
• Manage environment configurations and ensure consistency and version control across environments. 
• Lead incident response during production issues; conduct root-cause analysis and implement long-term fixes. 
• Establish and enforce best practices for deployment, configuration management, and operational excellence. 

Required Skills & Qualifications 

• 5+ years of experience in deployment engineering, DevOps, or site reliability engineering roles. 
• Strong proficiency in Python for automation and tooling. 
• Advanced experience with Linux systems administration (Ubuntu, CentOS, Amazon Linux). 
• Hands-on work with AWS cloud services and infrastructure-as-code (CloudFormation or Terraform). 
• Experience with containerization technologies such as Docker and orchestration platforms like ECS, EKS, or Kubernetes. 
• Strong understanding of CI/CD tools and automated deployment strategies. 
• Familiarity with networking concepts: DNS, load balancers, VPCs, firewalls, VPN, and routing. 
• Expertise with monitoring, alerting, and logging solutions. 
• Strong problem-solving and analytical skills; able to lead troubleshooting efforts. 
• Excellent communication and leadership abilities. 

About the role:

You will own a functional area - from product conception to its delivery to customers. You are expected to design and code independently in multiple tech components related to your functional area. You must also develop a deep understanding of non-functional requirements, such as reliability and availability, scale, horizontal scalability, etc. over time to make tech stack decisions accordingly. You are expected to actively mentor junior engineers. You own

the codebase quality.

We are looking for seasoned engineers who are quality-conscious, product thinkers, business cognizant and smart. Engineers get to significantly amplify the impact of their work or creations with scale. The scale also demands that engineers to produce super-efficient solutions.

What you’ll do

• Strong experience with Java 8, Spring and Spring Boot, Spring MVC, Spring Data,
• Working experience in Microservices
• Version Control: Git
• Strong understanding of functional/reactive programming, OOP, design
• Experience with Docker and Kubernetes.
• SDLC: Working experience in Agile methodology
• Strong interpersonal skills and time management skills

What you’ll need

• B.Tech or M.Tech equivalent with at least 3 years of experience
• Deep expertise in at least one programming language & tech stack.
• Strong object-oriented design skills, ability to apply design patterns, and an uncanny ability to design intuitive module and class-level interfaces
• Experience in building data-driven web application design and development is a plus
• Good understanding of multiple tech solutions and ability to pick the correct one for the given situation
• Prior work experience in an agile environment or continuous integration and continuous delivery (CI or CD)
• Ability and experience in designing high-level software designs of the scalable system, taking NFR (non-functional requirement) into consideration

Skills And Qualifications 

• 2-3 years of hands-on experience in back-end development with Node.js. ● Knowledge of Node.js frameworks 
• Good understanding of server-side templating languages 
• Understanding of code versioning tools, such as Git ● Have worked in any of the cloud based platform AWS, GCP, Docker, Kubernetes. 

• BS in CS or EE or equivalent
• Experience working on large scale systems in rapid growth environments
• Experience with public cloud offerings (AWS, GCP, Azure)
• Solid programming skills; preferred experience in Java, and/or Python
• Experience with modern web frameworks, advanced algorithms/data intelligence, public
• cloud platforms and streaming data pipelines
• Familiarity with containerization, microservices architecture, continuous integration, and delivery
• 5+ years’ experience preferred

·       3+ yrs of experience in product development (Preferring SaaS based)

·       Must have experience in Java web-based application development

·       Hands on development experience on Java/J2EE, Springboot, Spring, Struts, Hibernate, REST Services

·       Experience on HTML, JavaScript, JQuery

·       Hands on experience on database-writing queries/procedures

·       Experience on SVN,GIT,

·       Knowledge of Server configuration

·       Knowledge of cloud preferably AWS

Job Description:

• Excellent troubleshooting and communication skills
• Participate in requirements analysis and give estimates for development.
• Collaborate with internal teams to produce software design and architecture
• Client handling experience
• Write clean, scalable code using .NET programming languages
• Test and deploy applications and systems
• Revise, update, refactor and debug code
• Improve existing software
• Ability to work as a team player also as an individual contributor.
• Understanding of Scrum, Agile and Agile processes.

Required Knowledge, Skills, and Abilities:

• 3+ years of C#, .Net core, ASP.NET MVC professional development experience
• Candidate should have  hands-on with Logic App, Function App, Azure Function
• Working experience on SQL Server and No SQL Database
• Experience in ORM like LINQ & Entity Framework
• Knowledge of the NoSQL Database will be a great advantage.
• Great analytical skills and logical reasoning.
• Thorough understanding of object-oriented programming concepts, and data structures.
• Experience designing and consuming REST APIs
• Experience in JavaScript, jQuery or related frameworks.
• Knowledge of Code Repository systems including GIT, Github & SVN
• Should have strong practical knowledge of API Management Services (APIM)
• Good to have: Angular JS, React JS or any other frameworks.

Tools :  Visual Studio ,Visual studio code ,SQL server management studio, swagger and postman tool
Educational Qualification: BE, MCA OR Msc IT

About RecoSense

We are a growing SaaS based data analytics startup at revenue stage with multiple customers. We are looking for Python programmer who can be part of core product team in taking the product forward.

Flexible work timings, Stock options, Architect role to lead the product. Visit http://recosenselabs.com">http://recosenselabs.com.

Requirement: We are looking for a good programmer with following skills:

Sr. python developer

Experience:  2- 5 years

Requirements:

1. Mandatory good experience in Python and Mongodb
2. Expertise in cloud management
3. Proficient in shell scripting
4. Expert in modular code writing skills
5. Explorative(geek on what's going around technology)
6. Worked on Spark, AWS, is plus
7. Hands on Postgres
8. Experienced on developing a product from scratch to production
9. Experience on developing modular backend architecture

Location of Work

We are located in Banashankari 2nd stage, Bangalore. Looking for a full time candidate.

Work hours and location of Work is flexible.

Benefit for Candidate

1. Part of the Core Team in the Company
2. Growth along with the Company
3. Startup culture - Ability to work on best technologies, fast paced and dynamic
4. Freedom to work independently.
5. Equity incentives for long term interest