AI backend lead

Job Details

- Job Title: Staff Engineer

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 9-12 years

- Employment Type: Full Time

- Job Location: Bengaluru

- CTC Range: Best in Industry

Role & Responsibilities

As a Staff Engineer at company, you will play a critical role in defining and driving our backend architecture as we scale globally. You’ll own key systems that handle high volumes of data and transactions, ensuring performance, reliability, and maintainability across distributed environments.

Key Responsibilities-

• Own one or more core applications end-to-end, ensuring reliability, performance, and scalability.
• Lead the design, architecture, and development of complex, distributed systems, frameworks, and libraries aligned with company’s technical strategy.
• Drive engineering operational excellence by defining robust roadmaps for system reliability, observability, and performance improvements.
• Analyze and optimize existing systems for latency, throughput, and efficiency, ensuring they perform at scale.
• Collaborate cross-functionally with Product, Data, and Infrastructure teams to translate business requirements into technical deliverables.
• Mentor and guide engineers, fostering a culture of technical excellence, ownership, and continuous learning.
• Establish and uphold coding standards, conduct design and code reviews, and promote best practices across teams.
• Stay ahead of the curve on emerging technologies, frameworks, and patterns to strengthen company’s technology foundation.
• Contribute to hiring by identifying and attracting top-tier engineering talent.

Ideal Candidate

• Strong staff engineer profile
• Must have 9+ years in backend engineering with Java, Spring/Spring Boot, and microservices building large and schalable systems
• Must have been SDE-3 / Tech Lead / Lead SE for at least 2.5 years
• Strong in DSA, system design, design patterns, and problem-solving
• Proven experience building scalable, reliable, high-performance distributed systems
• Hands-on with SQL/NoSQL databases, REST/gRPC APIs, concurrency & async processing
• Experience in AWS/GCP, CI/CD pipelines, and observability/monitoring
• Excellent ability to explain complex technical concepts to varied stakeholders
• Product companies (B2B SAAS preferred)
• Must have stayed for at least 2 years with each of the previous companies
• (Education): B.Tech in computer science from Tier 1, Tier 2 colleges

Job Title : Principal Backend Engineer (AI-Driven)

Experience : 10+ Years

Location : Chandigarh

Tech Stack : PHP, Node.js, Laravel, MySQL, MongoDB

Additional Requirement : Hands-on experience with AI technologies, APIs, or ML integrations

Role Overview :

We're looking for a Principal Backend Engineer (AI-Driven) to design and lead scalable backend systems while driving AI adoption across products.

The role involves integrating AI-powered features, architecting intelligent systems, and mentoring engineering teams on modern backend and AI implementation.

Key Responsibilities :

• Design and lead backend architecture using PHP (Laravel/CodeIgniter) and Node.js
• Build scalable microservices / modular backend systems
• Develop APIs and backend workflows for AI-driven features
• Integrate AI APIs (OpenAI, LangChain or similar frameworks)
• Work with LLMs, embeddings, vector databases, and AI pipelines
• Ensure performance, scalability, and security of backend systems
• Mentor engineering teams and drive backend + AI best practices

Requirements :

• 10+ years of backend development experience
• Strong expertise in PHP / Node.js, MySQL, MongoDB
• Hands-on experience integrating AI/ML APIs or AI-powered features
• Strong system design and architecture skills
• Experience leading engineering teams

Good to Have :

• Prompt engineering or AI cost optimization
• Exposure to MLOps / ML pipelines

Job Title: AI/ML Engineer – Voice (2–3 Years)

Location: Bengaluru (On-site)

Employment Type: Full-time

About Impacto Digifin Technologies

Impacto Digifin Technologies enables enterprises to adopt digital transformation through intelligent, AI-powered solutions. Our platforms reduce manual work, improve accuracy, automate complex workflows, and ensure compliance—empowering organizations to operate with speed, clarity, and confidence.

We combine automation where it’s fastest with human oversight where it matters most. This hybrid approach ensures trust, reliability, and measurable efficiency across fintech and enterprise operations.

Role Overview

We are looking for an AI Engineer Voice with strong applied experience in machine learning, deep learning, NLP, GenAI, and full-stack voice AI systems.

This role requires someone who can design, build, deploy, and optimize end-to-end voice AI pipelines, including speech-to-text, text-to-speech, real-time streaming voice interactions, voice-enabled AI applications, and voice-to-LLM integrations.

You will work across core ML/DL systems, voice models, predictive analytics, banking-domain AI applications, and emerging AGI-aligned frameworks. The ideal candidate is an applied engineer with strong fundamentals, the ability to prototype quickly, and the maturity to contribute to R&D when needed.

This role is collaborative, cross-functional, and hands-on.

Key Responsibilities

Voice AI Engineering

• Build end-to-end voice AI systems, including STT, TTS, VAD, audio processing, and conversational voice pipelines.
• Implement real-time voice pipelines involving streaming interactions with LLMs and AI agents.
• Design and integrate voice calling workflows, bi-directional audio streaming, and voice-based user interactions.
• Develop voice-enabled applications, voice chat systems, and voice-to-AI integrations for enterprise workflows.
• Build and optimize audio preprocessing layers (noise reduction, segmentation, normalization)
• Implement voice understanding modules, speech intent extraction, and context tracking.

Machine Learning & Deep Learning

• Build, deploy, and optimize ML and DL models for prediction, classification, and automation use cases.
• Train and fine-tune neural networks for text, speech, and multimodal tasks.
• Build traditional ML systems where needed (statistical, rule-based, hybrid systems).
• Perform feature engineering, model evaluation, retraining, and continuous learning cycles.

NLP, LLMs & GenAI

• Implement NLP pipelines including tokenization, NER, intent, embeddings, and semantic classification.
• Work with LLM architectures for text + voice workflows
• Build GenAI-based workflows and integrate models into production systems.
• Implement RAG pipelines and agent-based systems for complex automation.

Fintech & Banking AI

• Work on AI-driven features related to banking, financial risk, compliance automation, fraud patterns, and customer intelligence.
• Understand fintech data structures and constraints while designing AI models.

Engineering, Deployment & Collaboration

• Deploy models on cloud or on-prem (AWS / Azure / GCP / internal infra).
• Build robust APIs and services for voice and ML-based functionalities.
• Collaborate with data engineers, backend developers, and business teams to deliver end-to-end AI solutions.
• Document systems and contribute to internal knowledge bases and R&D.

Security & Compliance

• Follow fundamental best practices for AI security, access control, and safe data handling.
• Awareness of financial compliance standards (plus, not mandatory).
• Follow internal guidelines on PII, audio data, and model privacy.

Primary Skills (Must-Have)

Core AI

• Machine Learning fundamentals
• Deep Learning architectures
• NLP pipelines and transformers
• LLM usage and integration
• GenAI development
• Voice AI (STT, TTS, VAD, real-time pipelines)
• Audio processing fundamentals
• Model building, tuning, and retraining
• RAG systems
• AI Agents (orchestration, multi-step reasoning)

Voice Engineering

• End-to-end voice application development
• Voice calling & telephony integration (framework-agnostic)
• Realtime STT ↔ LLM ↔ TTS interactive flows
• Voice chat system development
• Voice-to-AI model integration for automation

Fintech/Banking Awareness

• High-level understanding of fintech and banking AI use cases
• Data patterns in core banking analytics (advantageous)

Programming & Engineering

• Python (strong competency)
• Cloud deployment understanding (AWS/Azure/GCP)
• API development
• Data processing & pipeline creation

Secondary Skills (Good to Have)

• MLOps & CI/CD for ML systems
• Vector databases
• Prompt engineering
• Model monitoring & evaluation frameworks
• Microservices experience
• Basic UI integration understanding for voice/chat
• Research reading & benchmarking ability

Qualifications

• 2–3 years of practical experience in AI/ML/DL engineering.
• Bachelor’s/Master’s degree in CS, AI, Data Science, or related fields.
• Proven hands-on experience building ML/DL/voice pipelines.
• Experience in fintech or data-intensive domains preferred.

Soft Skills

• Clear communication and requirement understanding
• Curiosity and research mindset
• Self-driven problem solving
• Ability to collaborate cross-functionally
• Strong ownership and delivery discipline
• Ability to explain complex AI concepts simply

Responsibilities: 

• Help impacts software quality and customer experience (CX) of product features. 
• Able to convert an LLD into code. Codes may need some refinement. 
• Solutions are tested (continuously testable, when possible) and may need 
• refinement. 
• Able to write reusable and well-structured code. 
• Understands software architecture (layers, software component, etc), has 
• knowledge about patterns 
• Understand and can use Algorithms, Data structures in solving problems. 

Basic Qualification: 

• Bachelor's degree in computer science or related technical discipline 0-1 years of experience 
• Impactful internship, if fresher out of college- preferred with reputed techno-product orgs 
• Excellent Functional skills- understands software architecture (layers, software 
• components) and has knowledge about design patterns. 
• Programming experience with at least one modern language such as Java, Node.js including object-oriented design. 
• Computer science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis. 

Founded in 2016, they are one of the leading online scheduling software companies in the world, with over 200,000 customers globally. They are a profitable, high-growth bootstrapped platform-as-a-product company with 50+ team members looking to grow to $50M in revenue in the next 3 years. 

Role: SSE- Backend [Golang]

Location: Remote (India)

CTC: 22-26 LPA

NP: 30 days or less

Note: Other Backend Language /Frameworks like Python, NodeJS and Java Springboot and willingness to learn Golang can also be considered

Skillset Requirements:

- Strong experience with backend programming languages and technologies like

- Golang (minimum 2-year experience)

- Protobuf and gRPC

- RESTful APIs

- Docker and Kubernetes

- Medium-level experience with PostgreSQL and MySQL database concepts.

- Ability to write efficient, secure, well-documented, and clean code.

- Proven ability to work with multiple teams, multitask and prioritize.

- Experience with Git, JIRA, and Agile working methodology.

- Experience with design patterns, Event-Driven architecture, and Domain Driven Designs.

Responsibilities:

- Write code that meets standard and delivery guidelines.

- Mentor fellow engineers in the team to develop high-quality software and perform code

reviews.

- Work with the team to break user stories into tasks and delegate them to the team

members.

- Playing a key role in architectural and design decisions, building toward an efficient

microservices distributed architecture.

- Analyze solutions and help implement engineering best practices.

- Work with Project Managers for timely delivery and forecast.

- Lead and mentor junior engineers on technical issues. Perform blameless RCAs when

issues occur and take ownership to resolve issues.

#remotejobs #bootstrapped #platformasaproduct #highgrowth

Job Description:

• Strong Coding skills in C#, .NET with Windows for 4 to 8 years is mandatory
• Experience in OOPS, Design Patterns, UML Modelling is a must
• Experience working in Agile/Scrum environment is needed
• Basic Knowledge of SAFe, its Jargons minimally in theory
• Ability to build Ramp up Plans and Bring Teams up to Speed

About radix health 

We, http://www.radixhealth.com/">Radix health, Inc are a Healthcare IT solutions provider organization based out of US and India, developing innovative products that are solving some of the challenging problems for US Healthcare around patient access and patient care. We operate at the intersection of Clinical operations, data science and medical practices and we are a bunch of people with solid domain knowledge, technical expertise and eagerness to grow our footprint in the market.

Radix health is listed as one of the top 100 companies transforming US healthcare and we are proud to be associated with several leading medical groups in US. 

Working at radix health

Are you looking for a place where growth opportunities abound, where you'll have the freedom to forge your own path, and where you can feel good about the work you're doing?

We're looking for people who are passionate about improving healthcare, constantly seek to make themselves better, love challenging problems, and never say never.  We honor diversity and creative thought. We are committed to building an environment that challenges you, but where you can also have fun. As a growth-stage startup, we offer competitive compensation packages that reward hard work and long-term growth.

Perks at work

• Chance to work on real life problems in the healthcare industry.
• Culture of trust, empowerment and constructive feedback, Advanced technology stack , knowledge sharing through tech talks, product demos, parties & events.
• Competitive salary, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and healthy evening snacks.
• A diverse, fun and open-minded team in a nice office in the centrally located part of Pune.
• Extensive onboarding, mentoring and personal development plan.
• Relocation assistance for outstation candidates.
• Comprehensive insurance benefits covering employees and their families.
• Genuine work/life balance served here. 

Our Recruiting Process:

We aim to reply to all applicants within a few days of receiving your application. Our interview process consists of several stages, each one allowing us to get to know you better, professionally and technically. It is also an opportunity for you to gain a better understanding of our culture and the work we do here at Radix Health.

The stages include:

• CV review
• A little coding/Logical challenge 
• Technical Interview with team
• Interview with VP. 

We value your time and we move fast and provide feedback at every stage of the interview.

If you like being at the place where decision making is quick then you are on the right track

Role :
We are looking for an experienced Java or full-stack developer who is passionate about developing solutions that improve healthcare. The ideal candidate will have at least 4 years of experience building large-scale web applications. 

You will be expected to define/scope feature-sets and develop new functions. You will be a part of the team that is focussed on our one of many industry leading software solutions, designing scalable/maintainable object oriented architecture and producing market leading, self-testable deliverables. 

You are expected to be a technology enthusiast, who likes to think out of the box, embraces new technology alternatives, has a creative mind and is a go-getter.

Qualifications:

• Education : BE/MS/M. Tech/MCS/MCS with excellent records
• Server side :  Java/J2EE, REST API development, RESTful web services, Spring Boot framework, JAX-RS APIs

• Concepts : Strong understanding of Data Structures, Concurrency, Mult-threading, Design patterns, Java packages, Garbage collection, collections, JVM, JDBC

• ORM : Mybatis, Hibernate
• Unit testing : JUNIT, TestNG, Mockito 
• Build : Maven, Gradle
• CI/CD : GIT, Devops practices, Jenkins, containerization using Docker
• Databases : SQL, No-SQL, RDS, PostgreSQL, MySQL

• Cloud :AWS, EC2, ES3, ECR etc.

• APM:  ELK, Grafana

Skills:

• At least 4 years of SAAS software development experience.
• Experience in cloud computing application implementations on AWS is a MUST!
• Excellent understanding of microservices architecture, design patterns, and standard methodologies with an eye towards scale, automation, resiliency, and high availability
• Experience with build-time dependency management (e.g. Ant, Maven); unit testing and code-coverage tools; test automation techniques and tools; and build automation tools (e.g. Jenkins,) tools is required. 
• Strong understanding of Java is expected 
• Good understanding of architectural principles involved in SaaS and multi-tenant platforms. 
• Strong interpersonal, influencing, collaboration and negotiation skills

Must have skills :

JAVA 8, Apache Camel, Design Patterns, Web Services (REST), RabbitMQ, Build Tool (Maven or Gradle), Version Control (SVN or Git), SQL/PLSQL, Javascript, HTML, CSS, JQuery, Application Server (Websphere/JBoss/Weblogic etc.), JUnit.

Preferred skills :

- Spring, Spring MVC, Spring Boot, Hibernate/Spring Data JPA, .

- Experience working on Node JS/Angular JS/React JS

- Working experience on Docker

- Experience working on Agile methodologies

 B.E/B.Tech/M.C.A/M.Sc(Computer science ) with first division.

- AWS Cloud exposure.

- Basic skills in using the Unix operating system logging on, sudo to another ID, navigating directory structures, debugging simple problems.

- Hands-on experience with building enterprise applications.

- Excellent trouble-shooting skills.

- Thoroughly understanding business problems and the business domain, and how potential solutions may address problems and enhance business capabilities.

- Experience in designing/development (design patterns) and testing of enterprise class systems.

- Good written and verbal communication skills.

- Ability to adapt to changing requirements.

- Ability to take direction and work with minimal supervision.

- Ability to work in deadline driven environment, and respond creatively to pressure.

- Ability to work on multiple projects simultaneously.