Lead Backend Developer - Product / Python / Node / Go

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: Senior Backend Developer

Exp: 4 - 7 Years

CTC: up to 22 LPA

Key Responsibilities

• Design, develop, and maintain scalable applications using Java (Spring Boot) and Python (Flask).
• Build RESTful APIs and microservices following best practices.
• Implement event-driven architecture leveraging NATS messaging server.
• Deploy, manage, and optimize applications in Kubernetes and containerized environments.
• Develop and manage CI/CD pipelines, ensuring smooth deployment and delivery.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Write clean, maintainable, and well-documented code.
• Participate in code reviews and contribute to architectural decisions.
• Troubleshoot, debug, and optimize application performance.

We are seeking a motivated and detail-oriented Junior Backend Engineer to join our team. The role involves developing and maintaining backend systems using Django and Python, while also managing on-premises hardware and deployments. You will work closely with cross-functional teams to ensure our software is reliably configured, deployed, and maintained in an on-prem environment.

Key Responsibilities

Backend Development: Design, develop, and maintain backend services and APIs using Python (Django or Flask).

On-Prem Deployment: Install, configure, and manage software on on-premises hardware, including servers and networking equipment.

Database Management: Design database schemas, write efficient queries, and optimize data access layers (PostgreSQL, MySQL, etc.).

API Integration: Implement and maintain RESTful APIs and integrate with third-party services.

Troubleshooting & Debugging: Diagnose and resolve application and infrastructure issues to ensure high availability.

Version Control & CI/CD: Use Git for version control and contribute to continuous integration and delivery pipelines (GitHub Actions, Jenkins, etc.).

Security & Compliance: Work with the team to ensure software and infrastructure meet security and compliance requirements.

Documentation: Maintain clear, comprehensive documentation for your code, configurations, and on-prem deployment processes.

Must have:

• 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
• Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
• Good understanding of Generics, OOPs concepts & Design Patterns
• Solid engineering and coding skills. Ability to write high-performance production quality code in Python
• Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
• Strong expertise in time series forecasting using stat, ML, DL and foundation models
• Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
• Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
• Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
• Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
• Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Good To Have:

• Experience with MLOps tools and practices for continuous integration and deployment of ML models.
• Has familiarity with deploying applications on Kubernetes
• Knowledge of supply chain management principles and challenges.
• A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred

Type, Location: Remote, India

Desired Experience: 2+ years

Roles and Responsibilities :

• Hands-on GoLang development
• Go Lang developers perform tasks related to the design, development, modification, and administration of software systems and applications.
• Comfortable with algorithm design, scripting, and unit testing.
• Demonstrated skills in debugging, design patterns, and enterprise resource planning.
• Is skilled at problem-solving.

Must have skills :

● You must have 2+ years Golang experience.

● You must have (React.js or Node.js or Python or Java )experience.

● You must have any Frontent or Backend Technology with Golang 

Job Description

Must have Skill Sets 

• Go lang + Microservices
• Familiarity with MAC/Linux environment, Shell script 
• GRPC ● JavaScript & JSON 
• Knowledge of microservices and architecture 
• Knowledge of Uber Tech Stack would be a bonus ○ Will ensure candidate who are selected will undergo training on Uber Stack as a part of their induction to Uber 
• Basic SQL knowledge 

Expectations from the candidate 

• Strong hands-on experience in understanding requirements and creating microservices using Go lang.. 
• Exceptional debugging and problem-solving skills on large codebase 
• Be a proactive thinker and demonstrate keen sense to find solutions to challenging problems
• Product sense: Create more than beautiful code. Play a crucial role in choosing what we build and how we build it. 
• A penchant for collaboration & a team player: Work cross collaboratively to drive impact across orgs. Be open to candid feedback for improvement. When required step up to the role of a tech-lead to ensure effective coordination and communication 
• Independent to explore all the end points in UBER environment and coordinate with different Line of Business to understand the correct microservice for a business use case. 
• Ability to convert a high-level PRD into a detailed ERD for execution. Coordinate with business teams to understand the functional requirement and convert it into engineering logic

Primary Skills :

4+ Years with Java

2+ with Microservices

6 months to 1 Year with Golang

Exp : 4+ Years

Location : Bangalore/Hyderabad

Max Budget : 28 Lakhs

End Client : UBER

Job Responsibilities

We are looking for Backend Developer who can move fast, are capable of breaking down and solving complex problems, and have a strong will to get things done.

Experience & skills required:

• Bachelor’s Or Master’s in computer science
• 1-3 years proven work experience, or demonstrated ability
• Significant experience in building secure, scalable RESTful APIs in NodeJs
• Understanding of Web services
• Strong troubleshooting and performance tuning skills for all layers of a web application.
• Proficient understanding of code versioning tools, such as Git
• Experience with multiple technology stacks on web and mobile
• Experience in different types of integrations like POS, PMS, Payment gateway, SMS gateway is a plus.