Data Engineer

Job Title : Workday Integration Consultant (HCM – Absence Management)

Experience : 5 Years

Location : Pan India (Remote)

Notice Period : Immediate Joiners Only

Job Summary :

We are seeking an experienced Workday Integration Consultant with strong expertise in Workday HCM and Absence Management. The ideal candidate will have a proven track record in developing and supporting Workday integrations using tools such as EIB, Core Connectors, XSLT/XML, and Web Services (SOAP & REST).

Mandatory Skills :

• Workday HCM
• Absence Management
• Configuration
• Integrations (EIB, Core Connectors, Web Services)
• Workday Studio

Key Responsibilities :

• Design, develop, test, and deploy Workday integrations (EIB, Studio, Core Connectors).
• Manage end-to-end integration requirements from design to deployment.
• Handle bulk data loads using EIB.
• Collaborate with stakeholders, functional teams, and external vendors for solution delivery.
• Create and maintain design documentation, test plans, and migration documentation.
• Support end-to-end testing, parallel testing, and cut-over activities.
• Participate in Workday release testing and ensure compatibility of integrations.

Required Experience :

• Minimum 5 years of hands-on experience with Workday integrations.
• At least 3 years of experience specifically working with HCM and Absence Management modules.
• Proficient in XML, XSLT, Calculated Fields, and Workday Security Configuration.
• Knowledge of Workday reporting tools including Standard Reports, Custom Reports, PICOF, and PECI.
• Strong understanding of Workday Business Processes and Security Configuration.

Educational Qualification :

• Bachelor’s Degree in Computer Science, Information Technology, or a related field.

Good to Have :

• Experience with other Workday modules like Payroll and Benefits.
• Familiarity with PM tools like MS Project and MS Excel.
• Excellent communication and client interaction skills.

Senior Generative AI Engineer

Employment Type: Permanent with VDart Digital

Work Location: Marathalli, Bengaluru

Job Description

We are seeking a highly skilled Senior Generative AI Engineer with strong expertise in designing, developing, and deploying enterprise-scale AI solutions using Large Language Models (LLMs) and modern Generative AI frameworks. The ideal candidate should have hands-on production experience building scalable GenAI applications, AI agents, autonomous workflows, and Retrieval-Augmented Generation (RAG) systems in cloud-native environments.

This role requires deep technical expertise in LLM orchestration, AI application architecture, prompt engineering, vector databases, MLOps, and production deployment of AI systems. Candidates should have proven experience delivering real-world AI solutions in enterprise environments with strong exposure to cloud platforms and DevOps practices.

Key Responsibilities

• Design, build, and deploy enterprise-grade Generative AI applications using Large Language Models (LLMs).
• Develop intelligent AI agents and autonomous workflows using frameworks such as LangChain, CrewAI, LangGraph, AutoGen, or similar agentic AI frameworks.
• Implement and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search technologies.
• Work extensively on prompt engineering, tool calling, memory management, agent orchestration, and multi-agent systems.
• Integrate and manage LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar foundation models.
• Develop scalable AI services and APIs using Python and FastAPI.
• Build production-ready AI solutions with high availability, scalability, monitoring, and observability.
• Deploy and manage AI applications in cloud-native environments using Docker and Kubernetes.
• Collaborate with Data Science, ML Engineering, and DevOps teams to operationalize AI solutions.
• Implement CI/CD pipelines and automated deployment processes for AI workloads.
• Monitor model performance, latency, reliability, and operational efficiency in production environments.
• Ensure AI solutions follow enterprise security, governance, and responsible AI standards.
• Evaluate and adopt emerging Generative AI tools, frameworks, and models.

Required Skills

Generative AI & LLM Expertise

• Strong hands-on experience with Generative AI and Large Language Models (LLMs).
• Production-level experience building and deploying GenAI applications.
• Expertise in LangChain, CrewAI, LangGraph, AutoGen, or similar frameworks.
• Experience with AI agents, autonomous workflows, and multi-agent architectures.
• Strong understanding of prompt engineering, embeddings, model evaluation, and LLM orchestration.
• Experience integrating OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar models.

RAG & Vector Databases

• Strong experience implementing RAG pipelines and semantic retrieval systems.
• Experience with vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, or Milvus.
• Understanding of chunking strategies, embeddings, indexing, reranking, and retrieval optimization.

Python & AI Development

• Strong proficiency in Python.
• Experience with FastAPI for AI service and API development.
• Experience with AI/ML libraries and data processing tools such as Pandas and NumPy.

Cloud & Production Deployment

• Mandatory production experience on at least one cloud platform:
• Microsoft Azure
• Experience deploying scalable AI applications in enterprise production environments.
• Hands-on experience with Docker, Kubernetes, Jenkins, Terraform, and CI/CD pipelines.
• Strong understanding of MLOps, AI deployment lifecycle, monitoring, and observability.

Engineering & Operational Excellence

• Strong understanding of software engineering best practices.
• Experience with Git, version control, automated testing, and release management.
• Experience building secure, scalable, and high-performance AI solutions.
• Ability to troubleshoot production AI systems and optimize performance.

Preferred Skills

• Experience with AI observability and evaluation frameworks.
• Exposure to fine-tuning, PEFT, LoRA, or model optimization techniques.
• Experience with enterprise AI governance and responsible AI practices.
• Knowledge of distributed AI systems and scalable inference architectures.
• Familiarity with AI security and compliance standards.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3–8 years of overall software engineering experience.
• Minimum 3+ years of hands-on experience in Generative AI and LLM-based application development,
• Proven track record of delivering enterprise-scale AI solutions in production environments.
• Strong communication and stakeholder management skills.

Company Description

VMax e-Solutions India Private Limited, based in Hyderabad, is a dynamic organization specializing in Open Source ERP Product Development and Mobility Solutions. As an ISO 9001:2015 and ISO 27001:2013 certified company, VMax is dedicated to delivering tailor-made and scalable products, with a strong focus on e-Governance projects across multiple states in India. The company's innovative technologies aim to solve real-life problems and enhance the daily services accessed by millions of citizens. With a culture of continuous learning and growth, VMax provides its team members opportunities to develop expertise, take ownership, and grow their careers through challenging and impactful work.

About the Role

We’re hiring a Senior Data Scientist with deep real-time voice AI experience and strong backend engineering skills.

1. You’ll own and scale our end-to-end voice agent pipeline that powers AI SDRs, customer support 2. agents, and internal automation agents on calls. This is a hands-on, highly technical role where you’ll design and optimize low-latency, high-reliability voice systems.

3. You’ll work closely with our founders, product, and platform teams, with significant ownership over architecture, benchmarks.

What You’ll Do

1. Own the voice stack end-to-end – from telephony / WebRTC entrypoints to STT, turn-taking, LLM reasoning, and TTS back to the caller.

2. Design for real-time – architect and optimize streaming pipelines for sub-second latency, barge-in, interruptions, and graceful recovery on bad networks.

3. Integrate and tune models – evaluate, select, and integrate STT/TTS/LLM/VAD providers (and self-hosted models) for different use-cases, balancing quality, speed, and cost.

4. Build orchestration & tooling – implement agent orchestration logic, evaluation frameworks, call simulators, and dashboards for latency, quality, and reliability.

5. Harden for production – ensure high availability, observability, and robust fault-tolerance for thousands of concurrent calls in customer VPCs.

6. Shape the voice roadmap – influence how voice fits into our broader Agentic OS vision (simulation, analytics, multi-agent collaboration, etc.).

You’re a Great Fit If You Have

1. 6+ years of software engineering experience (backend or full-stack) in production systems.

2. Strong experience building real-time voice agents or similar systems using:

STT / ASR (e.g. Whisper, Deepgram, Assembly, AWS Transcribe, GCP Speech)

TTS (e.g. ElevenLabs, PlayHT, AWS Polly, Azure Neural TTS)

VAD / turn-taking and streaming audio pipelines

LLMs (e.g. OpenAI, Anthropic, Gemini, local models)

3. Proven track record designing and operating low-latency, high-throughput streaming systems (WebRTC, gRPC, websockets, Kafka, etc.).

4. Hands-on experience integrating ML models into live, user-facing applications with real-time inference & monitoring.

5. Solid backend skills with Python and TypeScript/Node.js; strong fundamentals in distributed systems, concurrency, and performance optimization.

6. Experience with cloud infrastructure – especially AWS (EKS, ECS, Lambda, SQS/Kafka, API Gateway, load balancers).

7. Comfortable working in Kubernetes / Docker environments, including logging, metrics, and alerting.

8. Startup DNA – at least 2 years in an early or mid-stage startup where you shipped fast, owned outcomes, and worked close to the customer.

Nice to Have

1. Experience self-hosting AI models (ASR / TTS / LLMs) and optimizing them for latency, cost, and reliability.

2. Telephony integration experience (e.g. Twilio, Vonage, Aircall, SignalWire, or similar).

3. Experience with evaluation frameworks for conversational agents (call quality scoring, hallucination checks, compliance rules, etc.).

4. Background in speech processing, signal processing, or dialog systems.

5. Experience deploying into enterprise VPC / on-prem environments and working with security/compliance constraints.

Company: Altruist technologies, Gb palya, Bangalore

*Customer support executive

Process: *MLOB*

Education: Graduation

Salary: 20k take home

Language: Excellent English+any other language

6 days of working 1 day rotational weekoff

Shifts: rotational shifts

Key Responsibilities:

• Design low level specification for the feature/module in consultation with product architect(s).

• Closely work with product managers/owners, architect(s) to understand the business requirements and code optimally.

• Propose and implement different algorithms in software code for high performing, high throughput, and low latency product features.

• Should be able build, make enhancements and maintain existing native web application user interface based on NodeJS, JavaScript or TypeScript, Angular, React, and Next/Vue.

• Develop and maintain generic solutions and utilities that can be integrated into any product.

• Integrate intelligent product performance indicators into the product to periodically monitor and take preemptive actions.

Key skills and experience required for the job:

• Technology: OOAD, Java/J2EE, Data Structures and Algorithms, Design Patterns, Spring Boot, Microservices/Cloud Native architecture, Cloud Foundry, Docker, K8S, RDBMS, SQL, NoSQL, Redis/HazleCast, jUnit, Mockito, Rabbit MQ, JMS, Apache Camel, KAFKA, WebSocket messaging, gRPC, GraphQL, Angular/React/Vue.js

• Source Control: Git, GitLab, GitHub etc.

• Design: UML, ArchiMate, EA Sparx, MS Visio, Lucid Chart, Figma

• DevSecOps: GitHub Workflows, Helm, Jenkins, CloudBees Flow, uDeploy, Nexus Repo, Site Reliability etc.

• Cloud Technologies: MS Azure, AKS, Azure Event Hub/Grid, Azure Storage, GCP, PCF, AKAMAI, APIGEE or equivalent.

• Code Quality: Sonar, MF Fortify, SAST, DAST

• Process: Safe Agile, DevOps, TDD and BDD

• Experience: 6 – 10 Years of software product development using Java/J2EE along with a minimum of 2 years of web user interface development using any TypeScript framework.

• Education: Bachelors/master’s in engineering or equivalent.

• Soft Skills: Communication, Analytical thinking, Problem Solving, Judgement & Decision Making, Planning & Organizing and Teamwork

Nice to have skills for the job:

• APM : Knowledge of AppDynamics, Grafana, Dynatrace, Splunk, Elk

We are looking for a Full Stack Developer to produce scalable software solutions. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.

As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks, and third-party libraries. You should also be a team player with a knack for visual design and utility.

If you’re also familiar with Agile methodologies, we’d like to meet you.

• Work with development teams and product managers to ideate software solutions
• Design client-side and server-side architecture
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Write effective APIs
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Write technical documentation
• Work with data scientists and analysts to improve software

• Proven experience as a Full Stack Developer or similar role
• Experience developing desktop and mobile applications
• Familiarity with common stacks
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache), and UI/UX design
• Excellent communication and teamwork skills
• Great attention to detail
• Organizational skills
• An analytical mind
• Degree in Computer Science, Statistics, or relevant field

What you need to have:

• Expertise in Infrastructure & Application design & architecture
• Expertise in AWS, OS & networking
• Having good exposure on Infra & Application security
• Expertise in Python, Shell scripting
• Proficient with Devops tools Terraform, Jenkins, Ansible, Docker, GIT
• Solid background in systems engineering and operations
• Strong in Devops methodologies and processes
• Strong in CI/CD pipeline & SDLC.

Job Description :

• In-depth understanding of the entire web development process (design, development and deployment)
• Experience building complex web application.
• Hands on experience with programming stacks like MEAN, MERN, LAMP
• Participate in software/product development from ideation to deployment and beyond.
• Should have good knowledge on build tools like Maven, NPM, NODEJS.
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers; awareness of cross-browser compatibility issues and client-side performance considerations
• Should have a good understanding of database concepts.
• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (such as Flux or Redux)
• Familiarity with code versioning tools (such as Git, VSTS)
• Working knowledge of Agile/SCRUM development methodologies and best practices.
• Ability to understand business requirements and translate them into technical requirements
• Working on Cloud[AWS/Azure] based environment is a huge plus
• Recommending new policies, approaches, and procedures.

Responsibilities :

• Ability to work with project delivery goal as mindset.
• Use advanced modelling tools & techniques to build full stack applications.
• Strong understanding on how to document and create a functional plan for complex project.
• Knowledge of creating Information Architecture, Server Architecture & State-flow diagram to better understand complex project.
• Ability to take risks, strive for learning & implementing new practice with maintaining project deliverables.
• Be seen as a leader for a group of engineers working to quickly design, prototype and build new features per requirement.
• Strong ability to handle a naive team & able to get the required output delivered.
• Build scalable/reusable code and libraries for future use.
• Interact with other team leads and departments to accomplish a project requirement.