AI Engineer

Experience: 6+ years building production backend systems in Node.js for B2C products at meaningful scale.

• System Design: This one matters a lot to us. You can reason clearly about scalability, reliability, and trade-offs under real constraints.

• Fundamentals: Strong grasp of API design, service-oriented architecture, data structures, algorithms, and clean code.

• Databases: Depth in SQL and/or NoSQL, data modeling, query optimization, and performance tuning.

• AI-Native: You already use LLMs and agentic approaches to maximize your own efficiency as an engineer.

• Mindset: You enjoy the pace and breadth of a small team, and you are happy picking up whatever moves the product forward.

Company Description

Appiness Interactive Pvt. Ltd. is a Bangalore-based product development and UX firm that

specializes in digital services for startups to fortune-500s. We work closely with our clients to

create a comprehensive soul for their brand in the online world, engaged through multiple

platforms of digital media. Our team is young, passionate, and aggressive, not afraid to think

out of the box or tread the un-trodden path in order to deliver the best results for our clients.

We pride ourselves on Practical Creativity where the idea is only as good as the returns it

fetches for our clients.

Key Purpose of the Role:

Python backend developer will design and develop scalable, secure, and high-performance

backend systems for modern web and enterprise applications. While the primary focus is on

application development, the role requires a working understanding of AI technologies

including large language models (LLMs), agent-based systems, and Retrieval-Augmented

Generation (RAG) to support integration and collaboration with AI-focused teams.

Principal Responsibilities:

● Architect and develop robust backend services and APIs using Python and modern

frameworks (e.g., FastAPI, Flask).

● Design and optimize database schemas and queries using SQL and NoSQL technologies.

● Collaborate with frontend, product, and AI teams to integrate intelligent features into

applications.

● Ensure backend systems are secure, scalable, and maintainable through best practices

and DevOps workflows.

● Support the integration of AI-powered services (e.g., LLM APIs, RAG pipelines) into

application workflows.

● Participate in code reviews, mentor junior developers, and contribute to technical

decision-making.

Essential Skills

● Python Backend Development: Expertise in building and maintaining scalable backend

systems.

● Database Management: Strong proficiency in SQL and experience with relational and

NoSQL databases.

● API Design & Integration: Experience with RESTful APIs and microservices architecture.

● DevOps Practices: Familiarity with Docker, Git, CI/CD pipelines, and cloud deployment.

Overall Skills and Experience

● Exposure to AI concepts such as LLMs, agents, and RAG pipelines, with ability to

collaborate on integration.

● Experience working with cloud platforms (AWS, Azure, GCP) and container

orchestration.

● Understanding of security best practices, performance optimization, and system

monitoring.

● Ability to work in agile teams and communicate effectively across technical and

non-technical stakeholders

Qualifications

Essential

● Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related

field.

● 5+ years of professional experience in Python backend development and application

architecture.

Desirable

● Certifications in Python, cloud platforms, or DevOps tools.

● Exposure to AI/ML libraries or platforms (e.g., Hugging Face, LangChain) and experience

integrating AI services.

● Experience in cross-functional teams building AI-enhanced applications

1) Be open to learn new frameworks like Hapi.JS , Typescript , Nest.JS

2) Strong DB concepts , and hands on knowledge on MongoDB , REDIS

3) Experience working with micro-services will be a plus

4) Experience working with JWT and IAM systems will be a plus

5) Experience working with Postman , Swagger will be a plus

6) TDD knowledge is an advantage and also working with Unit Test code and familiar with test code coverage concepts.

7) Strong operating system knowledge is a plus with knowledge of how to manage threads.

8) Working experience with RabbitMQ , Kafka will be a plus

9) Strong knowledge of JS internals is a must.

You can contact me on nine three one six one two zero one three two

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Master’s degree or PhD in Computer Science or a related field with a focus on Artificial Intelligence (AI) or Machine Learning (ML).
• 7 years of software experience designing and deploying large-scale AI/ML applications and complex models.
• Experience with MLOps, establishing best practices for production model monitoring, maintenance, and lifecycle management.
• Experience leading and mentoring engineers, and translating complex business objectives into scalable AI-driven roadmaps.
• Experience architecting scalable data pipelines using BigQuery, Beam, or Dataflow, and deploying models on Google Cloud Platform.
• Understanding of Python and frameworks like TensorFlow, JAX, and Scikit-learn, with deep statistical modeling knowledge.

About the job

The People Operations Engineering team is dedicated to building innovative and scalable technology solutions that empower a global workforce. Leveraging the power of data, AI, and machine learning, the team optimizes HR processes, enhances employee experiences, and drives organizational efficiency. Joining this team offers the opportunity to lead the application of AI to solve complex, real-world business challenges.

We are seeking a highly experienced and results-oriented Senior AI Software Engineer to join the Human Resources Engineering (HRE) team in Hyderabad.

In this role, you will serve as a technical leader, driving the design, development, and deployment of sophisticated AI-powered solutions that significantly impact employees across the organization. You will work on large-scale infrastructure, mentor a talented team of engineers, collaborate with cross-functional stakeholders, and help shape the future of HR through innovative AI applications. You will be responsible for translating complex business challenges and strategic objectives into scalable, efficient AI/ML systems.

As part of the Corporate Engineering organization, you will build world-class business solutions that support a global enterprise. The team delivers end-to-end platforms, tools, and experiences that enable employees to work more effectively and drive innovation across the organization.

Responsibilities

• Lead the technical design and architecture of complex, scalable AI/ML systems and infrastructure within the HR engineering domain, ensuring high reliability, performance, and long-term sustainability.
• Drive the development of advanced AI/ML algorithms for HR applications such as talent acquisition and employee engagement using Python and frameworks like TensorFlow and JAX.
• Architect large-scale data pipelines for data ingestion, cleaning, and feature engineering using modern data processing frameworks (e.g., Beam, Dataflow), while leading root cause analysis and system troubleshooting.
• Own the end-to-end MLOps lifecycle, including model deployment, monitoring, optimization, and maintenance, while establishing best practices for software development and code quality.
• Collaborate with cross-functional stakeholders to translate business needs into scalable AI/ML solutions, mentor engineers, and drive the adoption of emerging AI technologies across the organization.

About Blitzy

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into production-ready code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.

Location: Pune, India (in-person role, HQ2)

The Role

We're looking for a Forward Deployed Engineer to join our Pune HQ2 team, thriving at the intersection of cutting-edge AI technology and real-world enterprise software challenges. You'll embed directly with customer engineering teams, helping them revolutionize their software development with Blitzy.

This isn't a typical solutions engineer role. You'll write production code, architect solutions, and work shoulder-to-shoulder with customer engineering teams to deliver transformative outcomes. You're equally comfortable debugging a complex integration, participating in sprint planning, or whiteboarding architecture with a CTO.

This role centers on our Java/Spring Boot enterprise stack — from core REST services and event-driven microservices to production operations — and requires close collaboration with our US-based engineering and customer teams, including time zone overlap for handoffs.

What Success Looks Like

• You deploy Blitzy into complex enterprise environments, navigating technical constraints while delivering immediate value
• You write custom integrations and extensions — built on Java 17 and Spring Boot 3.x — that unlock new use cases for customers
• You translate ambitious business goals into concrete technical implementations using Blitzy's AI capabilities
• You identify patterns across customer needs that influence our product roadmap
• You become a trusted technical advisor to engineering leaders, earning their confidence through hands-on expertise
• You drive successful POCs that expand into enterprise-wide deployments
• You contribute code and insights back to our core platform based on field experience

Areas of Ownership

Customer Partnership

• Embed with customer teams during critical implementations, serving as their technical co-pilot
• Participate in customer sprint planning, architecture reviews, and technical decision-making
• Build custom solutions that demonstrate Blitzy's capabilities in their specific environment

Technical Implementation

• Write production-quality Java 17 / Spring Boot 3.x services (Spring MVC, Spring Data JPA, Spring Security, Actuator) to integrate Blitzy with existing enterprise systems
• Build and evolve REST APIs using a contract-first approach with OpenAPI/Swagger
• Own data persistence with PostgreSQL, Hibernate/JPA, and Liquibase-managed database migrations
• Package and deploy containerized services with Docker, managing dependencies through Maven (BOM and multi-module projects)
• Develop reusable patterns, scripts, and tools that accelerate customer adoption
• Debug complex issues spanning customer infrastructure and our platform
• Create technical demos that showcase advanced use cases

Quality & Production Operations

• Write thorough test coverage using JUnit 5, Cucumber/Gherkin, and JMeter for performance validation
• Maintain code quality and observability with Git, Logback/SLF4J, SpotBugs, and SonarQube
• Support microservice architectures and production operations, including health checks, metrics, and configuration management

Strategic Impact

• Decompose executive vision into actionable engineering roadmaps
• Identify expansion opportunities within accounts based on technical insights
• Collaborate with our product team to prioritize features based on field experience
• Contribute to our technical documentation and best practices

Required Experience

• 4–10 years of software engineering experience with a track record of shipping production code
• Strong hands-on experience with Java 17 (must-have)
• Spring Boot 3.x expertise, including Spring MVC, Spring Data JPA, Spring Security, and Actuator
• PostgreSQL and Hibernate/JPA for data persistence
• Maven for dependency management (BOM and multi-module projects)
• Liquibase for database migrations
• REST API development using a contract-first/OpenAPI approach with Swagger
• Docker for containerized services
• Testing and performance tooling: JUnit 5, Cucumber/Gherkin, and JMeter
• Git, Logback/SLF4J, and static analysis tools such as SpotBugs and SonarQube
• Familiarity with microservice architectures and Spring Boot production operations (health checks, metrics, configuration)
• Deep understanding of modern software development practices (CI/CD, microservices, cloud architecture)
• Experience with enterprise development workflows, including Agile/Scrum methodologies
• Strong communication skills, with time zone overlap to support handoffs with our US-based teams—you can explain technical concepts to anyone from intern to CTO
• Must be based in or willing to work in-person from Pune, India

What Makes You Stand Out

• Jakarta EE experience, particularly Spring Boot 3 migrations
• Caching experience using Spring Cache
• Familiarity with Apache HttpClient 5
• Enterprise modernization experience: Java 8 → Java 17 upgrades and monolith → microservices migrations
• Exposure to event-driven architecture, including Spring Kafka, Apache Kafka consumers, dead-letter topics (DLT), and retry patterns
• Experience with Confluent Schema Registry and Apache Avro, including schema evolution and contract-first integrations
• Familiarity with Spring RestClient, Testcontainers, WireMock, and JaCoCo
• Observability experience with Micrometer and Dynatrace
• Exposure to Saga orchestration, resilience/retry patterns, Kubernetes, or the WSO2 API Gateway
• Experience at high-growth startups or in customer-facing engineering roles
• Background in AI/ML, developer tools, or enterprise modernization projects
• Track record of technical thought leadership (blogs, talks, open source contributions)
• Passion for the future of AI-powered software development

What Makes This Role Different

• Production Code, Real Stakes: Unlike traditional FDE roles that focus on configuration and support, you'll be writing production Java/Spring Boot code that directly impacts customer success and enterprise deals you can see the outcome of.
• Frontier AI Work: You'll shape AI adoption at the frontier of what's possible with generative AI—working with a platform that generates complete applications, not just code snippets.
• Influence the Roadmap: You'll influence product direction through direct field experience, feeding real customer insight back into our roadmap.
• Onsite Opportunities: High performers are eligible for company-sponsored trips to our Cambridge, MA headquarters based on business needs, with potential international transfer support for top talent.
• Full Employment Package: This is a full-time role directly with our Private Limited Company in Pune. Benefits include medical insurance, participation in the company stock option program, Employer Provident Fund contributions with gratuity after 5 years, technology allowance, meal provision, and a beautiful office environment.
• Clear Growth Path: Flexibility to transition into core product or platform engineering as Blitzy scales.

Our Culture

Who we are:

Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.

How we work:

• We move Blitzy Fast: Time is both our company's and our clients' most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
• Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
• Passion for Invention: We're pushing the frontier of what's possible, requiring constant innovation and iteration.
• We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.

We believe in being 'everyday athletes'—taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for optimal mental performance. It makes for a happier and more productive team.

Key skills : Python, Numpy, Panda, SQL, ETL 

Roles and Responsibilities:

- The work will involve the development of workflows triggered by events from other systems

- Design, develop, test, and deliver software solutions in the FX Derivatives group

- Analyse requirements for the solutions they deliver, to ensure that they provide the right solution

- Develop easy to use documentation for the frameworks and tools developed for adaption by other teams

Familiarity with event-driven programming in Python

- Must have unit testing and debugging skills

- Good problem solving and analytical skills

- Python packages such as NumPy, Scikit learn

- Testing and debugging applications.

- Developing back-end components.

Job Type: Full-time

CTC Offering : 3.6L PA to 6L PA

Job Location: Remote for 6-9 months due to the pandemic, then Mumbai, Maharashtra

Required experience:

• Minimum 1.5 to 2 year of experience in Web & Backend Development using Python with experience in some form of Machine Learning ML Algorithms

Overview

We are looking for Python developers with a strong understanding of object orientation and experience in web and backend development. Experience with Analytical algorithms and mathematical calculations using libraries such as Numpy and Pandas are a must. Experience in some form of Machine Learning. We require candidates who have working experience using Django Framework

Key Skills required (Items in Bold are mandatory keywords) :

1. Proficiency in Python 3.x based web and backend development

2. Solid understanding of Python concepts

3. Experience with some form of Machine Learning (ML)

4. Experience in using libraries such as Numpy and Pandas

5. Some form of experience with NLP and Deep Learning using any of Pytorch, Tensorflow, Keras, Scikit-learn or similar

6. Hands on experience with RDBMS such as Postgres or MySQL

7. Experience building REST APIs using DRF or Flask

8. Comfort with Git repositories, branching and deployment using Git

9. Working experience with Docker

10. Basic working knowledge of ReactJs

11. Experience in deploying Django applications to AWS,Digital Ocean or Heroku

KRAs includes:

1. Understanding the scope of work

2. Understanding and adopting the current internal development workflow and processes

3. Understanding client requirements as communicated by the project manager

4. Arriving on timelines for projects, either independently or as a part of a team

5. Executing projects either independently or as a part of a team

6. Developing products and projects using Python

7. Writing code to collect and mathematically analyse large volumes of data.

8. Creating backend modules in Python by building or reutilizing existing modules in a manner so as to

provide optimal deliveries on time

9. Writing Scalable, maintainable code

10. Building secured REST APIs

11. Setting up batch task processing environments using Celery

12. Unit testing prepared modules

13. Bug fixing issues as reported by the QA team

14. Optimization and performance tuning of code

Bonus but not mandatory

1. Nodejs

2. Redis

3. PHP

4. CI/CD

5. AWS