50+ Artificial Intelligence (AI) Jobs in India

Role Overview

We are looking for a QA Automation Engineer who can leverage AI-driven testing approaches to improve automation coverage, test reliability, and data generation.

The ideal candidate should have strong experience in backend-heavy automation testing, modern automation frameworks, and using AI tools to generate test cases, maintain test scripts, and create synthetic data for testing.

Key Responsibilities

• Design and develop automated test frameworks for backend and API-heavy applications.
• Use AI tools to generate test scripts from requirements (e.g., Gherkin/Cucumber-based test generation).
• Implement and maintain self-healing test automation frameworks that adapt to UI changes.
• Develop automated tests using Playwright, Appium, and other modern automation tools.
• Create synthetic test data using AI while ensuring PII compliance.
• Perform backend stress testing and API validation.
• Work closely with engineering teams to ensure product quality and release readiness.
• Continuously improve test coverage, test reliability, and automation efficiency.

Must-Have Skills

• 4+ years of experience in QA Automation
• Strong experience in automation testing frameworks
• Hands-on experience with Playwright for web automation
• Experience with Appium for mobile automation
• Proficiency in Python for test scripting and data generation
• Experience writing BDD-style test cases (Gherkin / Cucumber)
• Experience in API testing and backend automation
• Familiarity with AI-assisted test generation tools
• Strong knowledge of CI/CD pipelines and automated testing workflows

Relevant Skills

• Backend automation testing
• Test automation frameworks design
• AI-assisted test generation
• Synthetic test data generation
• Performance and stress testing
• API testing tools (Postman, REST clients)
• Test reporting and debugging
• Version control using Git

AI & Automation Expertise

• Using AI tools to generate test cases from requirements
• Experience with self-healing test automation frameworks such as Mabl or Testim
• Using AI to generate synthetic financial datasets for testing
• Testing AI-powered applications or AI features

Tools & Technologies

• Playwright
• Appium
• Python
• Cucumber / Gherkin
• CI/CD tools
• Git

Strong Plus

• Experience working in the Finance / FinTech sector
• Experience testing AI-powered applications
• Experience working closely with AI engineering teams

A LITTLE BIT ABOUT THE COMPANY:

Established in 2017, Fountane Inc is one part a Digital Product Studio that specializes in building superior product experiences, and one part Ventures Lab incubating and investing in new competitive technology businesses from scratch. Thus far, we’ve created half a dozen multi million valuation companies in the US, and a handful of sister ventures for large corporations including Target, US Ventures, Imprint Engine.

We’re a team of 100 strong from around the world that are radically open minded and believes in excellence, respecting one another and pushing our boundaries to furthest its ever been.

Role Overview

We are looking for Frontend Developers with strong experience in Angular and/or Flutter who are comfortable working in a modern AI-assisted development environment.

The ideal candidate should be skilled in rapid UI prototyping using AI tools, converting design concepts into high-quality frontend components, and ensuring that AI-generated code meets accessibility (A11y), performance, and corporate styling standards.

Key Responsibilities

• Build responsive and scalable frontend applications using Angular and/or Flutter.
• Use AI-powered tools to accelerate UI development and component generation.
• Convert Figma designs into high-fidelity UI components efficiently.
• Use tools like v0.dev, Screenshot-to-Code, or similar AI design-to-code tools to generate UI components.
• Ensure AI-generated code meets accessibility (A11y) and UI/UX standards.
• Maintain consistent corporate design systems and styling standards.
• Collaborate closely with design and backend teams to deliver seamless user experiences.
• Optimize UI components for performance and responsiveness.

Must-Have Skills

• 3–5 years of frontend development experience
• Strong proficiency in Angular and/or Flutter
• Experience building responsive and scalable UI components
• Experience converting Figma designs into frontend components
• Familiarity with AI-assisted development tools (v0.dev, Screenshot-to-Code, Cursor, Copilot, etc.)
• Strong understanding of HTML, CSS, and modern frontend frameworks
• Experience ensuring accessibility (A11y) compliance
• Experience using Git and modern development workflows

Relevant Skills

• Angular framework and component architecture
• Flutter UI development
• Responsive UI and cross-device compatibility
• Figma design handoff and collaboration
• AI-powered design-to-code tools
• Component libraries and design systems
• API integration with backend services

Good to Have

• Experience with AI Engineering or AI-powered applications
• Experience using Figma AI plugins for design handoff
• Knowledge of UI performance optimization
• Experience working in rapid prototyping environments

A LITTLE BIT ABOUT THE COMPANY:

Established in 2017, Fountane Inc is one part a Digital Product Studio that specializes in building superior product experiences, and one part Ventures Lab incubating and investing in new competitive technology businesses from scratch. Thus far, we’ve created half a dozen multi million valuation companies in the US, and a handful of sister ventures for large corporations including Target, US Ventures, Imprint Engine.

We’re a team of 100 strong from around the world that are radically open minded and believes in excellence, respecting one another and pushing our boundaries to furthest its ever been.

Job Title: Python Backend / GenAI Engineer (4+ Years)

Job Summary:

Looking for a Python Backend Engineer with experience in Generative AI, LangGraph workflows, data engineering, and AI evaluation using Arize AI.

Responsibilities

* Develop backend APIs using Python (FastAPI / Flask / Django)

* Build Generative AI and RAG-based applications

* Design LangGraph / agent workflows

* Create data engineering pipelines (ETL, data processing)

* Implement LLM monitoring and evaluation using Arize AI

* Integrate vector databases and AI services

* Maintain scalable and production-ready backend systems

Required Skills

* 4+ years of Python backend development

* Experience in Generative AI / LLM applications

* Knowledge of LangGraph / LangChain

* Experience in data engineering pipelines

* Familiarity with Arize AI or model evaluation tools

* Understanding of REST APIs, databases, Docker

Good to Have

* Cloud platforms (Azure / AWS )

* Vector databases (FAISS, Pinecone, Azure AI Search)

Role Overview

We are seeking an experienced Machine Learning Engineer to design, develop, deploy, and scale machine learning solutions in production environments. The ideal candidate will have strong expertise in model development, MLOps, backend integration, and scalable ML system architecture.

Key Responsibilities

• Design, train, and deploy machine learning and deep learning models for real-world applications.
• Build and scale ML models and pipelines to handle large datasets and high-traffic production workloads.
• Perform data exploration, preprocessing, feature engineering, and dataset optimization.
• Develop and integrate APIs for ML model consumption using frameworks such as FastAPI, Flask, or Django.
• Implement end-to-end ML workflows, including experimentation, versioning, deployment, and monitoring.
• Build scalable data pipelines and processing workflows for batch and real-time use cases.
• Monitor model performance, drift, and system reliability in production.
• Collaborate with data engineers, DevOps, and product teams to productionize ML solutions.

Required Skills & Qualifications

• 5+ years of experience in Machine Learning Engineering or related roles.
• Proven experience in training, developing, deploying, and scaling ML models in production.
• Strong knowledge of data exploration, preprocessing, and feature engineering techniques.
• Proficiency in Python and ML/Data Science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.
• Experience with API development and backend integration (FastAPI, Flask, Django).
• Solid understanding of MLOps tools and practices, including MLflow, Kubeflow, Airflow, Prefect, Docker, and Kubernetes.
• Experience building scalable data pipelines, processing workflows, and monitoring deployed models.

Role Overview

We are looking for a Senior Backend Developer with strong Node.js expertise who is comfortable working in an AI-assisted development environment. The ideal candidate should be proficient in leveraging modern AI developer tools to accelerate development, improve code quality, and help modernize legacy systems.

This role involves working on backend systems, microservices architecture, and AI-powered development workflows, including refactoring legacy applications into modern Node.js services.

Key Responsibilities

• Design, build, and maintain scalable backend services using Node.js.
• Leverage AI-powered developer tools such as GitHub Copilot, Cursor, or Amazon Q to improve development efficiency.
• Refactor and modernize legacy .NET applications into Node.js-based microservices using AI-assisted workflows.
• Design and optimize database schemas and complex SQL queries for performance and scalability.
• Work with PostgreSQL and Redis for high-performance data storage and caching.
• Build and integrate AI-based features and services into backend applications.
• Automate development workflows through custom CLI tools or IDE extensions.
• Collaborate with cross-functional teams to deliver high-quality backend solutions.

Required Skills & Experience

• 5+ years of backend development experience
• Strong expertise in Node.js backend development
• Hands-on experience with AI-assisted development tools (GitHub Copilot, Cursor, Amazon Q, or similar)
• Experience working with PostgreSQL and Redis
• Strong understanding of microservices architecture and API design
• Experience with AI engineering (building or integrating AI-powered features)
• Strong problem-solving and debugging skills

Good to Have

• Prior experience with .NET / C#
• Experience modernizing legacy systems
• Experience building developer productivity tools (CLI tools, IDE extensions, automation)
• Experience optimizing complex SQL queries and database migrations

A LITTLE BIT ABOUT THE COMPANY:

Established in 2017, Fountane Inc is one part a Digital Product Studio that specializes in building superior product experiences, and one part Ventures Lab incubating and investing in new competitive technology businesses from scratch. Thus far, we’ve created half a dozen multi million valuation companies in the US, and a handful of sister ventures for large corporations including Target, US Ventures, Imprint Engine.

We’re a team of 100 strong from around the world that are radically open minded and believes in excellence, respecting one another and pushing our boundaries to furthest its ever been.

About MyOperator

MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & voice bots into one intelligent business communication platform.Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement

Role Summary

We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.

This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.

Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.

Responsibilities

Requirement Discovery & Stakeholder Interaction

• Join customer calls alongside Sales and Revenue teams.
• Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
• Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
• Act as the AI subject-matter expert during client discussions.

Use Case & Solution Documentation

• Convert discussions into clear, structured use case documents, including:
• Problem statement & goals.
• Current vs. proposed conversational flows.
• Chatbot conversation logic, integrations, and dependencies.
• Assumptions, limitations, and success criteria.

Customer Delivery Ownership

Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.

Prompt Engineering & Conversation Design

Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."

Testing, Debugging & Iteration

Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.

Integrations & Technical Coordination

Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.

What Success Looks Like

• Customer bots go live quickly and show high containment + high task completion with low escalation.
• You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
• Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.

Requirements (Must Have)

• 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
• Willingness to be front deployed (customer calls/visits as needed).

Good to Have (Nice to Have)

• Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects. 
• Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
• Prior SaaS onboarding/delivery experience in mid-market or enterprises.

Working Style & Traits We Value

• High agency: you don’t wait for perfect specs—you create clarity and ship.
• Customer empathy + engineering discipline.
• Strong bias for iteration: deploy → learn → improve.
• Calm under ambiguity (real customer environments are chaotic by default).

AuxoAI is hiring a Senior Applied Scientist to design and deploy production-grade AI agents capable of structured reasoning, planning, and decision-making.

This role focuses on building intelligent agent systems that combine LLM-based reasoning with classical planning, search algorithms, and optimization techniques. The ideal candidate will develop robust agent architectures that operate reliably in real-world environments with constraints around latency, cost, uncertainty, and limited context windows.

You will work on advanced AI systems that power autonomous workflows, decision engines, and tool-driven agent ecosystems.

You will work on problems where existing architectures may not be sufficient, and will be expected to experiment with new approaches that combine machine learning, graph algorithms, and classical AI techniques to build reliable, production-grade systems.

Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)

Responsibilities:

• Design and architect modular AI agent frameworks incorporating skill decomposition, tool orchestration, and persistent state tracking.
• Implement planning and search algorithms such as Monte Carlo Tree Search (MCTS), beam search, A search, heuristic search, and graph-based planning approaches* to support complex decision-making tasks.
• Develop decision-making loops that balance trade-offs between exploration vs. exploitation, cost vs. accuracy, and latency vs. reasoning depth.
• Build structured memory systems including episodic memory stores, semantic memory layers, and vector-based memory with optimized retrieval strategies.
• Design tool-calling architectures with strong execution validation, retry mechanisms, and failure recovery strategies.
• Develop evaluation frameworks to measure agent performance using task success metrics, rollout simulations, and multi-sample validation approaches.
• Improve agent performance through techniques such as distillation, synthetic trajectory generation, prompt compression, and context pruning.
• Deliver production-ready agent systems that meet operational requirements around reliability, cost efficiency, throughput, and observability.

Requirements

• 2-5 years of experience building machine learning or AI systems in production environments.
• Strong experience implementing search or planning algorithms beyond basic use cases, including tree search or heuristic-based planning approaches.
• Hands-on experience with Monte Carlo Tree Search (MCTS) or related decision-making frameworks.
• Strong understanding of state-space representations, heuristic design, and decision boundary trade-offs.
• Experience building or extensively customizing agent frameworks for real-world applications.
• Hands-on experience designing tool-use or function-calling architectures under practical system constraints.
• Strong Python engineering skills with a focus on scalable and reliable system design.

Nice to Have:

• Experience with reinforcement learning techniques such as policy gradients, value estimation, or reward modeling.
• Experience building multi-agent or collaborative agent systems.
• Experience designing evaluation frameworks for agent robustness and reliability.
• Experience optimizing LLM inference pipelines for latency, throughput, and cost efficiency.
• Familiarity with distributed task orchestration systems and large-scale AI workflow management.

About the Role

Applix is looking for a Python Software Engineer with strong Azure cloud experience to build and operate AI-powered applications and agentic workflows. The engineer will work closely with our enterprise client teams to develop, deploy, and maintain AI solutions running on the Azure platform.

This role combines Python application development, AI platform integration, and cloud deployment responsibilities.

Key Responsibilities

• Build and maintain Python-based services and AI agents
• Develop and manage agentic workflows and automation pipelines
• Deploy and monitor applications on Azure cloud services
• Integrate with Azure AI services such as Azure OpenAI and Azure Document Intelligence
• Manage application deployments using Azure App Services or equivalent cloud platforms
• Monitor system performance, logs, and reliability in production environments
• Work with engineering teams to ensure scalable and secure deployments
• Support CI/CD pipelines and DevOps practices for application delivery

Experience

3–8 years of relevant experience in software engineering and cloud development.

Required Skills

• Strong programming experience in Python
• Experience deploying applications on Microsoft Azure
• Familiarity with Azure App Services or equivalent cloud services
• Understanding of cloud deployment, monitoring, and DevOps practices
• Experience building APIs, automation workflows, or backend services
• Good problem-solving ability and communication skills
• Experience with Azure OpenAI
• Experience with Azure Document Intelligence
• Familiarity with Azure AI Foundry or AI platform services
• Exposure to LLM-based applications or AI workflows
• Experience with CI/CD pipelines and cloud automation

We are seeking an experienced Python Lead to design, develop, and scale high-performance backend systems. The ideal candidate will have strong expertise in Python-based backend development, system design, and cloud-native architectures. You will lead the development of scalable APIs, work with modern cloud platforms, and collaborate with cross-functional teams to deliver reliable and efficient applications.

Key Responsibilities

• Design and develop scalable backend services using Python (Django/Flask).
• Build and maintain RESTful APIs and WebSocket-based applications.
• Implement efficient algorithms, data structures, and design patterns for high-performance systems.
• Develop and optimize database schemas and queries using PostgreSQL, MySQL, or MongoDB.
• Integrate caching and queuing systems to improve system performance and reliability.
• Deploy and manage applications on AWS or GCP cloud environments.
• Implement and maintain CI/CD pipelines using tools such as Jenkins, GitLab CI, or GitHub Actions.
• Work with Docker containers and Linux-based environments for development and deployment.
• Collaborate with engineering teams to design scalable system architectures.
• Explore and integrate AI-driven capabilities such as RAG, LLMs, and vector databases where applicable.

Required Skills

• Strong expertise in Python backend development using Django or Flask
• Experience with REST APIs, WebSockets, and microservices architecture
• Solid knowledge of design patterns, algorithms, and data structures
• Experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB)
• Hands-on experience with AWS or GCP cloud services
• Experience with CI/CD pipelines and containerization (Docker)
• Proficiency in Git and Linux environments

Preferred Skills

• Familiarity with AI/ML concepts
• Experience with RAG architectures and LLM integrations
• Knowledge of vector databases such as Pinecone or ChromaDB

What We’re Looking For

• Strong problem-solving and system design skills
• Ability to lead backend development initiatives
• Experience building scalable and production-grade systems
• Excellent collaboration and communication skills

Prompt Engineer Intern – AI Video Architect (Character & Motion)

We’re not looking for someone who types prompts.

We’re looking for someone who directs digital actors.

If you understand that AI video isn’t about randomness — it’s about control, continuity, and cinematic intent — keep reading.

🎬 Your Mission:

Solve the hardest problem in AI video right now — perfect character consistency + believable motion.

You’ll be the digital director commanding virtual sets.

From neon rainstorms to sunlit boardrooms, our protagonist must look the same. Move the same. Feel real.

🔥 What You’ll Actually Do

• Command next-gen video engines (Veo, Sora, Runway) with intent

• Anchor character identity using Cref systems & seed control

• Eliminate uncanny valley motion

• Build hero frames → convert them into cinematic sequences

• Control camera language (focal length, lighting, framing)

• Direct micro-expressions + lip-sync realism

• Build structured I2V workflows (bonus if you love ComfyUI / Python)

🧠 You Might Be a Fit If:

• You obsess over why a shot feels “off”
• You understand physics, not just prompts
• You think like a filmmaker but build like an engineer
• You test, iterate, refine — until it’s seamless

This is not a passive internship.

You’ll help define how AI cinema is actually made.

If you’re ready to build the future of AI filmmaking —

DM us your portfolio + experiments.

Let’s create something unreal. 🎥

FULL STACK DEVELOPER

JOB DESCRIPTION – FULL STACK DEVELOPER 

Location: Bangalore 

Key Responsibilities:       

Establish processes, SLAs, and escalation protocols for the support & maintenance of web applications       

Manage stakeholders with effective communication & collaborate with cross functional teams to address issues and maintain business continuity.      

Design, implement, unit test, and build business applications using React, React-Native, .Net Core, .Net 8, Azure/AWS and leveraging an agile methodology and latest tech like Agentic AI & Gihub Copilot.     

Facilitate scrum ceremonies including sprint planning, retrospectives, reviews, and daily stand-ups·       

Facilitate discussion, assessment of alternatives or different approaches, decision making, and conflict resolution within the development team       

Develop and administer CI/CD pipelines in cloud-hosted Git repositories, and source control artifacts via Git in alignment with common branching strategies and workflows    

Assist Software Designer/Implementers with the creation of detailed software design specifications      

Participate in the system specification review process to ensure system requirements can be translated into valid software architecture       

Integrate internal and external product designs into a cohesive user experience       

Identify and keep track of metrics that indicate how software is performing     

Handle technical and non-technical queries from the development team and stakeholders      

Ensure that all development practices follow best practices and any relevant policies / procedures 

Other Duties·       Maintain project reporting including dashboards, status reports, road maps, burn down, velocity, and resource utilization.    

Own the technical solution and ensure all technical aspects are implemented as designed. ·       

Partner with the customer success team and aid in triaging and troubleshooting customer support issues spanning across a range of software components, infrastructure, integrations, and services, some of which target 24/7/365 availability     

Flexible to work in rotational shift   

Required Qualification     

Previous experience of leading full stack technology projects with scrum teams and stakeholder management·       

BTech or MTech in computer science, or related field·       

3-5 years of experience.  

Required Knowledge, Skills and Abilities: (Include any required computer skills, certifications, licenses, languages, etc)·      

With Proficiency in .NET Core/.Net 8/, React, React-Native, Redux, Material, Bootstrap, Typescript, SCSS, Microservices, EF, LINQ, SQL, Azure/AWS, CI CD, Agile, Agentic AI, Github Copilot·       

Azure Dev Ops, Design System, Micro front ends, Data Science·       

Stakeholder management & excellent communication skills.    

Must have skills

React - 3 years

React Native - 3 years

Redux - 1 years

Material UI - 1 years

Typescript - 1 years

Bootstrap - 1 years

Microservices - 2 years

SQL - 1 years

Azure - 1 years

Nice to have skills

.NET Core - 3 years

NET 8 - 3 years

AWS - 1 years

LINQ - 1 years

About MyOperator

MyOperator is a Business AI Operator, a category-leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform. Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount.

About the Role: 

Lead & Scale a High-Growth Inbound SaaS Sales Team We are looking for a hands-on Sales Team Leader – Inbound SaaS to own revenue outcomes and lead a team of inbound Business Consultants. This role is ideal for someone who has closed inbound SaaS deals, handled monthly revenue targets, and is ready to build, coach, and scale a high-performing sales team. You will work with high-intent inbound leads, sell a category-leading SaaS product, and play a critical role in driving MyOperator’s revenue growth.

What You’ll Own

• Lead, mentor, and manage a team of inbound Business Consultants to achieve monthly MRR targets
• Drive daily execution through stand-ups, pipeline reviews, and deal strategy discussions
• Own conversion metrics across calls, demos, closures, and revenue
• Ensure strong CRM hygiene, process adherence, and forecast accuracy

Revenue & Process Ownership

• Deliver consistent achievement of revenue and closure targets
• Ensure fast, high-quality follow-ups across all inbound leads
• Support negotiations, deal closures, and retention of key customers.

Training & Team Development

• Identify performance gaps and partner with L&D to strengthen sales capability
• Conduct regular role-plays, feedback sessions, and coaching conversations
• Build a strong, motivated, and accountable sales culture

Qualifications

Who Should Apply (tightened & clearer)

• 4–6 years of experience in B2B Inside Sales / SaaS Sales
• Minimum 2 years of team-handling experience with revenue ownership
• Proven success in inbound sales environments with monthly targets
• Strong experience using CRM tools (Zoho preferred)
• High ownership mindset, data-driven approach, and strong communication skills
• Experience in SaaS / cloud telephony / communication technology is a plus

Why Join MyOperator

• Work in a high-growth SaaS environment with strong inbound demand
• Clear ownership of revenue and team performance
• Fixed salary + performance-driven incentives with real upside
• Opportunity to sell and scale impactful AI-powered SaaS solutions

Description

JOB DESCRIPTION – SENIOR ANALYST – DATA SCIENTIST 

Key Responsibilities ·       

Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions·       

Advanced skills with statistical/programming in Python and data querying languages (e.g., SQL, Hadoop/Hive, Scala)·       

Solid understanding of time-series forecasting techniques·       

Good hands-on skills in both feature engineering and hyperparameter optimization·       

Able to write clean and tested code that can be maintained by other software engineers·       

Able to clearly summarize and communicate data analysis assumptions and results·       

Able to craft effective data pipelines to transform your analyses from offline to production systems·       

Self-motivated and a proactive problem solver who can work independently and in teams·       

Connects both externally and internally to understand industry trends, technology advances and outstanding processes or solutions·       

Is collaborative and engages (strategic & tactical. Able to influence without authority, handle complex issues and implement positive change·       

Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science·       

Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment ·       

Provide guidance and leadership to more junior data scientists, managing processes and flow of work, vetting designs, and mentoring team members to realize their full potential·       

Lead discussions at peer review and use interpersonal skills to positively influence decision making·       

Provide subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices·       

Facilitate cross-geography sharing of new ideas, learnings, and best-practices 

What We Are Looking For 

Required Qualifications ·       

Master's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics or Bachelor's degree in engineering, computer science, or related field. ·       

4 – 6 years of total work experience as data scientist or analytical role, with at least 2-3 years of experience in time series forecasting·       

A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project ·       

Strong experience in Time Series Forecasting and Demand Planning ·       

Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) ·       

Good hands-on skills in both feature engineering and hyperparameter optimization ·       

Experience producing high-quality code, tests, documentation·       

Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies·       

Proficiency in statistical concepts and ML algorithms·       

Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team·       

Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results·       

Self-motivated and a proactive problem solver who can work independently and in teams·       

Outstanding verbal and written communication skills with the ability to effectively advocate technical solutions to engineering and business teams 

Desired Qualifications ·      

Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred ·       

Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred ·       

Experience in creating CI/CD pipelines for deployment using Jenkins. ·       

Experience implementing MLOPs framework along with understanding of data security·       

Implementation on ML models·       

Exposure to visualization packages and Azure tech stack.  

Must have skills

Python - 2 years

Data Science - 4 years

SQL - 2 years

Machine Learning - 2 years

Nice to have skills

Data Analysis - 4 years

Time Series Forecasting - 2 years

Demand Planning - 2 years

Hadoop - 2 years

Statistical concepts - 2 years

Supply chain functions - 2 years

Hi ,

Title                            : Senior AI/ML Engineer

Experience                 : 5 – 10+ Yrs

Location                     : Bengaluru

Work Type                : Hybrid – 2 days Work from office

Type of hire               : PwD & Non-PwD Inclusive Hiring

Employment Type     : Full Time

Notice Period             : Immediate Joiner

Workdays                   : Mon - Fri

Role Overview

We are seeking an exceptional AI Engineer who can design and build production-grade AI systems that combine advanced machine learning, Generative AI, and scalable software engineering.

This role goes beyond traditional data science and focuses on building end-to-end AI platforms, autonomous AI agents, intelligent decision systems, and enterprise AI applications.

You will work on real-world enterprise problems across industries, developing AI systems that automate reasoning, prediction, and decision-making at scale.

What You Will Build

Examples of systems you may work on:

• AI Copilots for enterprise workflows

• Autonomous AI agents for automation

• Decision intelligence platforms

• Retrieval-Augmented Generation (RAG) systems

• Predictive ML systems for forecasting and anomaly detection

• AI-powered knowledge assistants

• Intelligent automation platforms

Key Responsibilities

1. Advanced Machine Learning & Predictive Systems

Design and implement ML models including:

• Time series forecasting

• Predictive modeling

• Anomaly detection

• Recommendation systems

• NLP / text intelligence

• Deep learning models

Develop models using:

• PyTorch

• TensorFlow

• Scikit-learn

• XGBoost / LightGBM

2. Generative AI & LLM Systems

Build enterprise-grade GenAI applications including:

• AI copilots

• conversational agents

• document intelligence systems

• enterprise knowledge assistants

Develop LLM systems using:

• OpenAI / Claude / Gemini / Llama

• prompt engineering techniques

• embeddings and semantic search

• RAG architectures

3. Agentic AI Systems

Design autonomous AI systems capable of reasoning and executing tasks.

Build multi-agent architectures using:

• LangGraph

• CrewAI

• AutoGen

• Semantic Kernel

Integrate agents with:

• APIs

• enterprise data systems

• internal workflows

4. AI Platform Engineering

Develop scalable AI services and applications using:

• Python

• FastAPI / Flask

• asynchronous processing

• distributed compute frameworks

Build production-grade APIs and AI services.

5. Enterprise AI Deployment & MLOps

Deploy AI models into scalable production environments.

Work with:

• Docker

• Kubernetes

• CI/CD pipelines

• MLflow / experiment tracking

• model monitoring and drift detection

Deploy AI solutions on:

• Azure

• AWS

• GCP

6. Data Integration & AI Systems

Work with enterprise data sources including:

• relational databases

• data warehouses (Snowflake, Redshift, BigQuery)

• data lakes (S3 / Azure Data Lake)

• vector databases (Pinecone, Weaviate, FAISS)

Required Skills:

Programming

Expert-level proficiency in:

• Python

• software engineering best practices

• data structures and algorithms

Experience building production-ready systems.

Machine Learning

Strong expertise in:

• supervised learning

• unsupervised learning

• deep learning

• time-series modelling

• model evaluation and optimization

Generative AI

Experience working with:

• LLM APIs

• prompt engineering

• RAG pipelines

• embeddings and vector search

AI Architecture

Ability to design:

• scalable AI systems

• distributed ML systems

• intelligent automation platforms

Preferred Experience

• Building enterprise AI products

• Developing AI copilots or agents

• Designing decision intelligence platforms

• Experience with large-scale data systems

Ideal Candidate Profile

The ideal candidate is:

• A strong ML engineer AND software engineer

• Comfortable building AI systems end-to-end

• Experienced in deploying models to production

• Passionate about next-generation AI architectures

We value builders who ship real systems, not just research prototypes.

Education

Bachelor’s / Master’s in:

Computer Science

Artificial Intelligence

Machine Learning

Data Science

or related field.

Why Join Ampera

At Ampera, we are building AI-native enterprise platforms that transform how organizations use data and intelligence.

Engineers at Ampera work on:

• real-world enterprise AI systems

• cutting-edge GenAI and agentic architectures

• global enterprise clients across industries

• high-impact AI platforms that scale.

What Makes This Role Unique

You will help build the next generation of enterprise AI systems — where AI moves beyond prediction and becomes an autonomous decision-making layer for organizations.

About Ampera:

Ampera Technologies, a purpose driven Digital IT Services with primary focus on supporting our client with their Data, AI / ML, Accessibility and other Digital IT needs. We also ensure that equal opportunities are provided to Persons with Disabilities Talent. Ampera Technologies has its Global Headquarters in Chicago, USA and its Global Delivery Center is based out of Chennai, India. We are actively expanding our Tech Delivery team in Chennai and across India. We offer exciting benefits for our teams, such as 1) Hybrid and Remote work options available, 2) Opportunity to work directly with our Global Enterprise Clients, 3) Opportunity to learn and implement evolving Technologies, 4) Comprehensive healthcare, and 5) Conducive environment for Persons with Disability Talent meeting Physical and Digital Accessibility standards

Accessibility & Inclusion Statement

We are committed to creating an inclusive environment for all employees, including persons with disabilities. Reasonable accommodations will be provided upon request.

Equal Opportunity Employer (EOE) Statement

Ampera Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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About MyOperator

MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & voice bots into one intelligent business communication platform.Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement

Role Summary

We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.

This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.

Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.

Responsibilities

Requirement Discovery & Stakeholder Interaction

• Join customer calls alongside Sales and Revenue teams.
• Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
• Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
• Act as the AI subject-matter expert during client discussions.

Use Case & Solution Documentation

• Convert discussions into clear, structured use case documents, including:
• Problem statement & goals.
• Current vs. proposed conversational flows.
• Chatbot conversation logic, integrations, and dependencies.
• Assumptions, limitations, and success criteria.

Customer Delivery Ownership

Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.

Prompt Engineering & Conversation Design

Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."

Testing, Debugging & Iteration

Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.

Integrations & Technical Coordination

Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.

What Success Looks Like

• Customer bots go live quickly and show high containment + high task completion with low escalation.
• You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
• Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.

Requirements (Must Have)

• 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
• Willingness to be front deployed (customer calls/visits as needed).

Good to Have (Nice to Have)

• Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects. 
• Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
• Prior SaaS onboarding/delivery experience in mid-market or enterprises.

Working Style & Traits We Value

• High agency: you don’t wait for perfect specs—you create clarity and ship.
• Customer empathy + engineering discipline.
• Strong bias for iteration: deploy → learn → improve.
• Calm under ambiguity (real customer environments are chaotic by default).

Role Overview

We are looking for a sharp and high-ownership Founder’s Office Associate to work closely with the Co-founder CTO on strategic, branding, and operational initiatives.

This is a technical but non-coding role — ideal for someone who understands engineering concepts and can engage meaningfully with technical teams, but does not want to pursue a core software development career.

You will act as a bridge between the CTO and internal engineering teams, ensuring alignment, speed, and clarity across projects.

Key Responsibilities

Work directly with the CTO on high-priority strategic initiatives

Coordinate closely with the engineering team to track progress and unblock execution

Translate complex technical discussions into clear documentation, decks, and internal updates

Drive internal operational processes and improve team workflows

Support hiring initiatives, partnerships, and special projects

Create high-quality content including internal memos, product narratives, and thought leadership pieces

Bring structure to ambiguity and ensure action-oriented follow-through

Who We’re Looking For

Recent graduate (0–2 years experience) from IITs, BITS, or other top-tier institutes

Strong technical foundation with an engineering or computer science background

Excellent written and verbal communication skills

Structured thinker with strong analytical ability

Comfortable interacting with engineers and understanding technical systems

Not actively looking to pursue a core coding role

Highly proactive, detail-oriented, and ownership driven

Why This Role

Direct exposure to founder-level decision making

High learning velocity across AI, deep-tech, and startup execution

Opportunity to build 0→1 operating experience

Strong launchpad for future roles in Product, Strategy, Venture Capital, or Entrepreneurship

Job Title: Tech Lead

Location: Gachibowli, Hyderabad

Required Skills/Experience:

• 6+ years of experience in designing and developing enterprise and/or consumer-facing applications using technologies and frameworks like JavaScript, Node.js, ReactJS, Angular, SCSS, CSS, and React Native.

• 2+ years of experience in leading teams (guiding, designing, and tracking tasks) and taking responsibility for delivering projects as per agreed schedules.

• Hands-on experience with SQL and NoSQL databases.

• Hands-on experience working in Linux OS environments.

• Strong debugging, troubleshooting, and problem-resolution skills.

• Experience in developing responsive and scalable web applications.

• Good communication skills (verbal and written) to effectively interact with customers and internal teams.

• Ability and interest in learning new technologies and adapting to evolving technical requirements.

• Experience working in the complete product development lifecycle (prototyping, development, hardening, testing, and deployment).

• Exposure to AI/ML concepts and ability to integrate AI-based features into applications.

• Experience using AI tools such as ChatGPT, GitHub Copilot, Gemini, or similar tools for improving development productivity, automation, and documentation.

Additional Skills/Experience:

• Working experience with Python and NoSQL databases such as MongoDB and Cassandra.

• Exposure to AI, Machine Learning (ML), Natural Language Processing (NLP), and Predictive Analytics domains.

• Familiarity with modern AI frameworks or APIs and experience integrating AI-powered capabilities into applications is a plus.

• Eagerness to participate in product functional design and user experience discussions.

• Familiarity with internationalization (i18n) and the latest trends in UI/UX design.

• Experience implementing payment gateways applicable across different countries.

• Experience with CI/CD pipelines and tools such as Jenkins, Nginx, and related DevOps practices.

Educational Qualification:

• B.Tech / M.Tech in Computer Science Engineering (CSE), Information Technology (IT), Electronics & Communication Engineering (ECE), Artificial Intelligence (AI), Machine Learning (ML), or Data Science (DS) from a recognized university.

Job Title : AI Consulting Lead (Principal)

Experience : 8 to 12+ Years

Location : Mumbai (Andheri West)

Work Mode : On-site

Employment Type : Full-time Opportunity

Role Overview :

We are looking for an experienced AI Consulting Lead to drive enterprise AI transformation initiatives.

The role involves working closely with CXOs to convert AI ambitions into ROI-driven programs, designing scalable AI solutions, and leading end-to-end delivery of transformation projects.

Mandatory Skills :

AI Strategy, Generative AI, LLMs, RAG, Agentic AI, Enterprise AI Transformation, Program Delivery, Stakeholder Management, Digital Transformation, Consulting.

Key Responsibilities :

• Engage with senior stakeholders to identify AI-led business transformation opportunities.
• Design and manage large-scale consulting programs including scope, pricing, and governance.
• Collaborate with AI architects to implement agentic AI solutions (LLMs, RAG, AI agents, automation).
• Lead 6–8 week pilot deployments and scale successful use cases across business functions.
• Manage client relationships, program delivery, and account growth.
• Develop reusable consulting frameworks, playbooks, and transformation standards.

Requirements :

• 8 to 12+ years of experience in management consulting, digital transformation, or technology consulting.
• Proven experience leading enterprise transformation programs.
• Strong understanding of LLMs, AI agents, RAG architectures, and enterprise AI platforms.
• Excellent stakeholder management and CXO-level communication skills.

Nice to Have :

• Experience with LangChain, AutoGen, CrewAI, or Vector Databases.
• Domain exposure in HR, Finance, Manufacturing, or Supply Chain.

AI Engineer (Generative AI & Healthcare)

Location: Remote (India)

Experience: 3 - 12 Years

Domain: HealthTech

The Mission

We are looking for a heavy-hitter AI Engineer to bridge the gap between unstructured clinical chaos and structured medical insights. You won’t just be "playing" with prompts; you will build production-grade, HIPAA-compliant systems that handle sensitive EMR/EHR data using state-of-the-art RAG architectures and Agentic workflows.

What You’ll Do

• Architect & Deploy: Build end-to-end GenAI pipelines and Agentic Workflows capable of navigating complex clinical logic.
• Clinical NLP: Transform unstructured doctor’s notes into structured insights using BioBERT, ClinicalBERT, or custom fine-tuned LLMs.
• Data Orchestration: Work seamlessly within HL7/FHIR standards to ensure interoperability.
• Production Excellence: Deploy and scale models in a robust environment using Docker, Kubernetes, and AWS.
• Security First: Architect every solution with a HIPAA-compliant mindset, ensuring the absolute integrity of sensitive patient data.

Your Technical Toolkit

• Generative AI: Expert-level RAG, Fine-tuning, and Prompt Engineering.
• Healthcare Tech: Deep familiarity with EMR/EHR systems and HL7/FHIR protocols.
• Engineering: 3+ years of experience with Python, LangChain/LlamaIndex, and vector databases.
• DevOps: Proven track record of deploying "production-grade" AI (not just notebooks) on AWS/K8s.

Interested? Apply with a summary of your most complex production-grade AI project.

https://forms.gle/4L22rGT4VTVyAEnV9

Job Title : AI Analyst (Fresher / Associate)

Experience : 0 to 3 Years

Location : Andheri West, Mumbai (Onsite)

Reporting To : AI Architect

Employment Type : Full-Time

About the Role :

We are hiring an AI Analyst to work with enterprise clients on the assessment, design, and validation of AI systems. This is a hands-on role at the intersection of business, technology, and responsible AI, focused on building production-ready, scalable, and governed AI solutions aligned with real business outcomes.

Mandatory Skills :

Artificial Intelligence (AI), Large Language Models (LLM), AI Agents, Generative AI, Machine Learning basics, Python, Prompt Engineering, Analytical Thinking.

Key Responsibilities :

• Review existing AI workflows, agents, and LLM usage to identify risks, gaps, and inefficiencies.
• Support the design of AI agent workflows aligned with business requirements.
• Help implement AI guardrails, governance frameworks, and safety mechanisms.
• Design evaluation and validation frameworks to test accuracy, reliability, and cost efficiency.
• Support AI pilot launches and production readiness.
• Communicate AI system behavior and insights to technical and non-technical stakeholders.

Required Skills :

• Strong analytical and systems thinking.
• Exposure to LLMs, AI agents, or AI workflows.
• Ability to translate business requirements into AI solutions.
• Good problem-solving and communication skills.
• Comfortable working in fast-paced environments.

Preferred :

• Consulting or client-facing experience.
• Exposure to enterprise AI deployments or regulated environments.

Education :

• Degree in Computer Science, Engineering, AI, or Data Science preferred.
• Strong practical AI skills are also valued.

Why Join Us :

• Work on real-world AI systems with enterprise clients, gain exposure to production AI and responsible AI deployment, and build a strong foundation in Applied AI and AI Systems Architecture.

Location: Mumbai, Maharashtra, India

Sector: Technology, Information & Media

Company Size: 500 - 1,000 Employees

Employment: Full-Time, Permanent

Experience: 10 - 14 Years (Engineering Leadership)

Level: Engineering Manager / Group EM

ABOUT THIS MANDATE :

Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.

This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.

We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.

THE OPPORTUNITY AT A GLANCE :

AI-First Engineering Culture :

• Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.

Hands-On Engineering Leadership :

• Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.

People & Org Builder :

• Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.

KEY RESPONSIBILITIES :

1. Hands-On Technical Engagement :

• Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
• Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
• Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
• Identify and resolve systemic technical debt and architectural risks across team-owned services
• Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
• Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability

2. AI Adoption, Integration & Transformation (2026 Mandate) :

• Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
• Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
• Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
• Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
• Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
• Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
• Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
• Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications

3. People Leadership & Team Development :

• Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
• Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
• Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
• Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
• Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
• Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
• Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering

4. Engineering Delivery & Execution Excellence :

• Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
• Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
• Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
• Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
• Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
• Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership

5. Strategic Leadership & Cross-Functional Influence :

• Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
• Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
• Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
• Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
• Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
• Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use

AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :

In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :

AI Developer Productivity

• Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.

LLM & GenAI Product Features

• Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.

AI-Augmented Observability

• Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.

Team AI Fluency :

• Build mandatory AI literacy across all engineering levels.
• Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.

Responsible AI Governance :

• Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.

TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :

• Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
• Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
• AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
• Copilot: Cursor /Hugging Face
• Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
• Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
• Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
• MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
• Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
• CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)

QUALIFICATIONS & CANDIDATE PROFILE :

Education :

• B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
• Demonstrated engineering depth and leadership impact may complement institution pedigree

Experience :

• 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
• Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
• Hands-on backend engineering background must be able to read, write, and critique production code
• Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
• Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
• Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
• Demonstrated career stability minimum of 2 years of average tenure per organisation.

The Ideal Engineering Manager in 2026 :

• Leads with context, not control, empowers engineers while maintaining accountability and quality
• Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
• Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
• Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
• Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
• Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
• Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites

WHY THIS ROLE STANDS APART :

AI Transformation at Scale :

• Lead one of the most significant AI adoption programmes in India's digital media sector.
• Our decisions will shape how hundreds of engineers work in 2026 and beyond.

Hands-On & Strategic Balance :

• A rare EM role that actively encourages technical depth.
• Stay close to the code while owning the people agenda - the best of both worlds.

Established Platform, Real Scale :

• 5001,000 engineers, proven product-market fit, and the org maturity to execute.
• This is not a greenfield startup gamble it is a serious company with serious ambition.

Clear Leadership Growth Path :

• A visible, direct path toward Director / VP of Engineering.
• Senior leadership is invested in growing its next generation of technology executives.

Senior BackEnd Engineer

The ideal candidate will have a strong background in building scalable applications, a deep understanding of back-end technologies, and experience with cloud infrastructure. As a Back End Engineer, you will be responsible for designing, developing, and maintaining a scalable workflow management system. You will work closely with cross-functional teams to build robust and efficient applications that meet the needs of our users. Your expertise in Scala, Python, AI Agents/APIs, and GCP will be crucial in ensuring our system is reliable, performant, and scalable.

Key Responsibilities:

Back-End Development:

• Build and maintain back-end services and APIs using Scala.
• Implement and optimize Orchestration workflow system involving database queries and operations.
• Build API integrations with Third Party APIs and services.
• Ensure robust and scalable server-side logic.

Cloud Integration:

• Deploy, manage, and monitor applications on Google Cloud Platform (GCP).
• Utilize GCP services to enhance application performance and scalability.
• Implement cloud-based solutions for data storage, processing, and analytics.

Collaboration And Communication:

• Work closely with cross-functional teams to define, design, and ship new features.
• Participate in code reviews and contribute to sharing team knowledge.
• Document development processes, coding standards, and project requirements.

Qualifications:

• Educational Background:
• Completed a masters/bachelor degree in Computer Science, Engineering, or a related field.
• Technical Skills:
• Proficiency in Scala programming language.
• Strong experience with React and ReactJS.
• Familiarity with Google Cloud Platform (GCP) and its services.
• Knowledge of front-end development tools and best practices.
• Understanding of RESTful API design and implementation.
• Soft Skills:
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.
• Eagerness to learn and adapt to new technologies and challenges.

Preferred Qualifications:

• Experience with version control systems such as Git.
• Familiarity with CI/CD pipelines and DevOps practices.
• Understanding of workflow management systems and their requirements.
• Experience with containerization technologies like Docker.

Must have Skills

• Scala - 4 Years
• React.Js - 1 Years
• RESTful API - 4 Years
• Docker - 2 Years
• Python - 3 Years
• Artificial Intelligence - 2 Years

Roles:

-Working on the full stack development (Both Front-end and Back-end)

-Working on any one of the following technologies:

• Java Application Programming

• Web Development with PHP

• Python Application Programming with Django

• Machine Learning

• Data Science

• Artificial Intelligence

• Cyber Security

Eligibility: BCA/MCA 2026/2027 students can apply

Duration: 1-6 months

Perks:

Internship Experience Certificate

Letter of Recommendation

Mode of internship: Online/Offline

Job Responsibilities

• Help develop an analytics platform that integrates insights from diverse data sources.
• Build, deploy, and test machine learning and classification models
• Train and retrain systems when necessary
• Design experiments, train and track performance of machine learning and AI models that meet specific business requirements
• ML and data labelling: Identify ways to gather and build training data with automated data labelling techniques and the creation of highly accurate training datasets.
• Automatic extraction of causal knowledge from diverse information sources such as databases, news, social media, videos and images etc.
• Develop customized machine learning solutions including data querying and knowledge extraction.
• Develop and implement approaches for extracting patterns and correlations from both internal and external data sources using time series machine learning models.
• Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.
• Distil insights from complex data, communicating findings to technical and non-technical audiences.
• Develop, improve, or expand in-house computational pipelines, algorithms, models, and services used in crop product development.
• Constantly document and communicate results of research on data mining, analysis, and modelling approaches.
• 5+ years of experience working with NLP and ML technologies.
• Proven experience as a Machine Learning Engineer or similar role.
• Experience with NLP/ML frameworks and libraries       
• Proficient with Python scripting language
• Background in machine learning frameworks like TensorFlow, PyTorch, Scikit Learn, etc.
• Demonstrated experience developing and executing machine learning, deep learning, data mining and classification models. Conversant with the latest in NLP and NLU models including transformer architectures and in creating explainable AI
• Ability to communicate the advantages and disadvantages of choosing specific models to various stakeholders
• Proficient with relational databases and SQL. Ability to write efficient queries and optimize the storage and retrieval of data within the database. Experience with creating and working on APIs, Serverless architectures and Containers.
• Creative, innovative, and strategic thinking; willingness to be bold and take risks on new ideas.

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Mandatory Skills: AI : Artificial Intelligence .

Experience: 8-10 Years .

• 7+ years in Data, AI, or Advanced Analytics • 3+ years hands-on experience with GenAI / LLM ecosystems • Strong understanding of: ➢ LLM architectures ➢ Prompt engineering ➢ RAG pipelines ➢ AI evaluation frameworks ➢ MLOps & deployment • Experience in regulated industries (Pharma preferred) • Proven consulting or client-facing experience .

Roles and responsibilities: • Combines technical depth + business breadth • Thinks in scalable frameworks, not one-off solutions Driving Innovation, Empowering Insights  • Comfortable speaking to both engineers and VP/SVP/CXOs • Revenue-aware, not just technically strong • High ownership mindset (“runs toward complexity”) • AI-native thinker - uses AI daily to improve productivity 

Shape the future of Generative AI by designing intelligent prompts and RAG systems for enterprise applications.

What you'll do:

• Engineer advanced prompts for GPT-4o, Claude 3.5, Llama 3
• Build Retrieval-Augmented Generation (RAG) pipelines
• Fine-tune open-source LLMs on domain-specific datasets
• Create AI agents with tool calling and memory
• A/B test prompts for accuracy, bias, and response quality
• Develop chatbots for e-commerce, healthcare, legal use cases

What we need:

• Python proficiency, basic ML concepts
• Experience with ChatGPT/Claude APIs
• Strong logical reasoning and writing skills
• Curiosity about LLMs (no PhD required!)

Outcomes:

• Published AI research papers (co-authored)
• Live chatbot deployments in portfolio
• Interview-ready for Prompt Engineer roles

Job Overview

We’re looking for enthusiastic Full Stack Development Interns who are excited to build real-world experience in web development and design. This internship, lasting 1 to 6 months (based on your availability), provides the opportunity to work on real life projects, learn modern web development practices, and develop skills under the guidance of experienced developers.

Responsibilities

• Assist in building and redesigning websites from scratch, ensuring mobile-friendly and user-centric designs.
• Collaborate with the design and development teams to optimize websites for performance, scalability, and SEO.
• Create wireframes and sitemaps to support project planning and improve user experience (UX) design.
• Develop responsive and interactive front-end user interfaces (UI) and assist in back-end tasks for smooth website functionality.
• Participate in project brainstorming sessions to support our development strategies.
• Contribute to troubleshooting, debugging, and testing processes to maintain high-quality standards.
• Follow best practices in clean coding, version control, and web design standards.

Requirements

• A PC or laptop with a stable internet connection.
• Basic understanding of HTML, CSS, and JavaScript is a plus but not mandatory.
• Strong problem-solving skills, attention to detail, and a proactive attitude.
• Comfortable working in a remote environment with an eagerness to learn and adapt.

Benefits

• Hands-on experience in web development with exposure to industry-standard tools and frameworks.
• Mentorship from experienced web developers to support your learning journey.
• Flexible internship duration, from 1 to 6 months, tailored to your goals and availability.
• Potential for a paid stipend based on performance, duration, and project contributions.
• Opportunity to work remotely in a supportive, globally-focused team environment.
• Internship Certificate
• Letter of Recommendation
• Performance-Based Stipend
• Part-time work from home (2-3 hours per day)
• 5 days a week, fully flexible shift

We are a Florida-based nonprofit organization seeking a full-time remote AI Programmer to support automation and AI-driven workflows.

Schedule:

42 hours per week

Flexible schedule overlap with EST preferred

Compensation:

$750 to $1,000 + bonus

Long-term contractor role

Responsibilities:

• Build and maintain AI-driven websites, apps, and automation systems
• Work with large language model APIs (OpenAI, Gemini, etc.)
• Improve prompt engineering and structured outputs
• Optimize performance and reliability

Requirements:

• Experience working with APIs (REST, JSON)
• Experience with PHP, React.js, and database systems.
• Familiarity with LLM models and prompt design
• Understanding of automation workflows
• Reliable high-speed internet
• Ability to communicate clearly in English

Preferred (not required):

• Experience with image generation APIs
• Experience with Google Sheets / Apps Script
• Experience deploying lightweight cloud functions

To apply, please reply with:

• Your resume
• Examples of relevant AI or automation work
• GitHub or portfolio (if available)
• Your current location and availability

Qualified applicants will receive a follow-up application link.

About the Role

We are looking for a motivated and detail-oriented Python Developer Intern to join our development team. This internship provides hands-on experience in real-world software development projects, backend systems, APIs, and automation tools.

You will work closely with senior developers and contribute to live projects, gaining practical exposure to modern development practices.

Key Responsibilities

• Assist in developing, testing, and maintaining Python-based applications
• Write clean, efficient, and reusable code
• Work on backend development and API integrations
• Participate in debugging and troubleshooting applications
• Collaborate with cross-functional teams (Design, QA, Data teams)
• Contribute to documentation and project reports
• Learn and apply best practices in software development

Required Skills & Qualifications

• Basic understanding of Python programming
• Familiarity with OOP concepts
• Knowledge of libraries/frameworks such as Django, Flask, or FastAPI (preferred but not mandatory)
• Basic understanding of databases (MySQL, PostgreSQL, or MongoDB)
• Good problem-solving skills
• Ability to work independently and in a team environment
• Strong communication skills

Preferred (Nice to Have)

• Knowledge of REST APIs
• Familiarity with Git/GitHub
• Understanding of HTML, CSS, and JavaScript
• Exposure to cloud platforms (AWS/Azure/GCP)

What You Will Gain

• Real-time project experience
• Mentorship from experienced developers
• Exposure to industry tools and workflows
• Internship Certificate upon successful completion
• Performance-based stipend (if applicable)
• Opportunity for full-time role based on performance

Job Title: Graphic Designer

Experience: 1+ Year

Location: Calicut (Kozhikode)

Joining: Immediate joiners preferred

Job Description:

We are looking for a creative Graphic Designer with 1+ year of experience to join our team at Calicut. The ideal candidate should have a strong design sense, basic UI/UX understanding, and hands-on exposure to video editing and AI tools.

Key Skills Required:

Proficiency in Adobe Creative Suite (Photoshop, Illustrator)

Basic familiarity with Figma

Knowledge of UI/UX design principles

Basics of video editing (Premiere Pro / After Effects)

Working knowledge of AI tools for design and creative tasks

Creativity, attention to detail, and willingness to learn

Head of AI Systems & Operations

Location: Vile Parle (Mumbai)

Company: Lighting Manufacturing Company

Employment Type: Full-Time

Experience: 1–3 Years

Reporting line: Directly to the Founder

About the Company

We are a fast-growing lighting manufacturing company with 150+ employees, strong online sales, and an expanding product portfolio.

We want to build a Tech-Driven company.  As our Sales and Marketing continue to grow rapidly, we now require strong operational systems to scale efficiently.

Role Overview

We are looking for a highly driven and system-oriented individual to take complete ownership of operational structuring and automation across the organization.

This role is focused on building AI-driven systems that bring clarity, control, and scalability, without the need for manual follow-ups or micromanagement.

Key Responsibilities

• Design and implement AI-based operational systems
• Automate inventory, stock monitoring, and supply chain workflows
• Integrate product costing with website listings for real-time margin visibility
• Build auto-check mechanisms for departmental performance
• Create clear dashboards for:
• Sales tracking
• Cost & profit monitoring
• Inventory health
• Dead stock identification
• Ensure all departments operate within structured processes
• Reduce dependency on manual supervision

Required Skills

• Familiarity with automation tools or AI integrations
• Strong logical thinking and system-building mindset
• Understanding of ERP systems / automation tools
• Experience with data tracking, dashboards, or business analytics
• Ability to structure operations in a growing company
• High ownership and accountability

Who Should Apply

• Young professionals looking to take on a high-impact role
• Individuals excited about building systems from scratch
• Candidates who prefer responsibility over routine

Why Join

• Direct exposure to founder-level decision making
• High-growth environment
• Opportunity to build and scale operational systems from the ground up

Note: Compensation will be aligned with industry benchmarks and will not be a limiting factor for the right candidate.

Inflection.io is a venture-backed B2B marketing automation company, enabling to communicate with their customers and prospects from one platform. We're used by leading SaaS companies like Sauce Labs, Postman, BILL, Mural, and Vercel, many of which pay more than $100K/yr (1 crore rupee).

And,... it’s working! We have world-class stats: our largest deal is over 3 crore, we have a 5 star rating on G2, over 100% NRR, and constantly break sales records. We’ve raised $14M in total since 2021 with $7.6M of fresh funding in 2024, giving us many years of runway.

Why Join Us Now?

We’re at a pivotal growth stage, transitioning from a promising startup to a market leader. Joining us means being part of a journey where your contributions directly impact our trajectory. Our compact team of approximately 30 employees ensures that every voice is heard, and innovation is at the forefront.

Our Culture

At Inflection.io, we pride ourselves on fostering a culture of collaboration, continuous learning, and innovation. Our team comprises passionate professionals from diverse backgrounds located across India, USA, and Canada, united by a shared vision to revolutionize B2B marketing automation. We believe in empowering our employees, offering opportunities for rapid growth, and celebrating successes together.

What you’ll be doing

• Shape and evangelize the product vision and roadmap, grounded in customer pain points and Marketing Ops best practices.
• Conduct market research, competitive analysis, and customer interviews to validate opportunities and prioritize features.
• Author clear product requirements, user stories, and acceptance criteria; partner with UX/UI to ensure intuitive user experiences.
• Lead agile ceremonies (planning, grooming, demos), track sprint progress, and re-prioritize backlog based on stakeholder input and data.
• Monitor product performance against key SaaS metrics, identify friction in Marketing Ops workflows, and drive continuous optimization.

Mandatory Qualifications & Skills:

• 5+ years of overall experience, including 3–5 years of hands-on product management in B2B SaaS, with strong exposure to Marketing Operations workflows and tools
• Background in marketing-technology (MAPs, attribution, lead scoring) a strong plus
• Proven track record owning full product lifecycle: ideation, requirement gathering, go-to-market, measurement, and iteration.
• Data-driven decision-maker: comfortable defining success metrics, running experiments, and pivoting based on results.
• Proficiency in using AI coding tools like Claude Code or Cursor.
• Excellent cross-functional collaborator—adept at aligning engineering, design, marketing, sales, and customer success.

Job Title: Python Backend / GenAI Engineer (4+ Years)

Job Summary

Looking for a Python Backend Engineer with experience in Generative AI, LangGraph workflows, data engineering, and AI evaluation using Arize AI.

Responsibilities

* Develop backend APIs using Python (FastAPI / Flask / Django)

* Build Generative AI and RAG-based applications

* Design LangGraph / agent workflows

* Create data engineering pipelines (ETL, data processing)

* Implement LLM monitoring and evaluation using Arize AI

* Integrate vector databases and AI services

* Maintain scalable and production-ready backend systems

Required Skills

* 4+ years of Python backend development

* Experience in Generative AI / LLM applications

* Knowledge of LangGraph / LangChain

* Experience in data engineering pipelines

* Familiarity with Arize AI or model evaluation tools

* Understanding of REST APIs, databases, Docker

Good to Have

* Cloud platforms (Azure / AWS )

* Vector databases (FAISS, Pinecone, Azure AI Search)

Title: Quantitative Developer

Location : Mumbai

Candidates preferred with Master's

Who We Are

At Dolat Capital, we are a collective of traders, puzzle solvers, and tech enthusiasts passionate about decoding the intricacies of financial markets. From navigating volatile trading conditions with precision to continuously refining cutting-edge technologies and quantitative strategies, our work thrives at the intersection of finance and engineering.

We operate a robust, ultra-low latency infrastructure built for market-making and active trading across Equities, Futures, and Options—with some of the highest fill rates in the industry. If you're excited by technology, trading, and critical thinking, this is the place to evolve your skills into world class capabilities.

What You Will Do

This role offers a unique opportunity to work across both quantitative development and high frequency trading. You'll engineer trading systems, design and implement algorithmic strategies, and directly participate in live trading execution and strategy enhancement.

1. Quantitative Strategy & Trading Execution

• Design, implement, and optimize quantitative strategies for trading derivatives, index options, and ETFs
• Trade across options, equities, and futures, using proprietary HFT platforms
• Monitor and manage PnL performance, targeting Sharpe ratios of 6+
• Stay proactive in identifying market opportunities and inefficiencies in real-time HFT environments
• Analyze market behavior, particularly in APAC indices, to adjust models and positions dynamically

2. Trading Systems Development

• Build and enhance low-latency, high-throughput trading systems
• Develop tools to simulate trading strategies and access historical market data
• Design performance-optimized data structures and algorithms for fast execution
• Implement real-time risk management and performance tracking systems

3. Algorithmic and Quantitative Analysis

• Collaborate with researchers and traders to integrate strategies into live environments
• Use statistical methods and data-driven analysis to validate and refine models
• Work with large-scale HFT tick data using Python / C++

4. AI/ML Integration

• Develop and train AI/ML models for market prediction, signal detection, and strategy enhancement
• Analyze large datasets to detect patterns and alpha signals

5. System & Network Optimization

• Optimize distributed and concurrent systems for high-transaction throughput
• Enhance platform performance through network and systems programming
• Utilize deep knowledge of TCP/UDP and network protocols

6. Collaboration & Mentorship

• Collaborate cross-functionally with traders, engineers, and data scientists
• Represent Dolat in campus recruitment and industry events as a technical mentor

What We Are Looking For:

• Strong foundation in data structures, algorithms, and object-oriented programming (C++).
• Experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Hands-on experience in systems programming within a Linux environment.
• Proficient and Hands on programming using python/ C++
• Familiarity with distributed computing and high-concurrency systems.
• Knowledge of network programming, including TCP/UDP protocols.
• Strong analytical and problem-solving skills.

A passion for technology-driven solutions in the financial markets.

Job Details

- Job Title: Android Developer

- Industry: IT- Services

- Function - Information technology (IT)

- Experience Required: 5-8 years

- Employment Type: Full Time

- Job Location: Delhi

- CTC Range: Best in Industry

Criteria:

· Strong technical background in Android application development and Kotlin

· Looking candidates having 5+ years of experience.

· Need candidates from Delhi NCR Only.

· All Academic backgrounds acceptable (except BCA).

· Immediate Joiners Preferred

· Candidate must have some experience working with IoT devices.

· Candidate should have experience working with Camera model X.

· Candidate's Academic scores must be 70% or above.

· Candidate having fluent communication will be an added advantage.

Job Description 

About the Role:

Senior Android Team Lead will be responsible for testing, QC, debugging support for various Android and Java software/servers for products developed or procured by the company. The role includes debugging integration issues, handling on-field deployment challenges, and suggesting improvements or structured solutions. The candidate will also be responsible for scaling the architecture. You will work closely with other team members including Web Developers, Software Developers, Application Engineers, and Product Managers to test and deploy existing products. You will act as a Team Lead to coordinate and organize team efforts toward successful completion or demo of applications. This includes implementing projects from conception to deployment.

Responsibilities:

● Working with the Android SDK, Java, Kotlin, NDK

● Handling different Android versions and screen sizes

● Applying Android UI design principles, patterns, and best practices

Requirements:

● Strong technical background in Android application development and Kotlin

● Solid programming skills

● Detail-oriented with strong attention to specifics

● Excellent written and verbal communication skills

● Strong analytical and quick problem-solving ability

● Ability to quickly document requirements from open discussions

● Fast typing skills for documentation and communication

● Familiarity with JIRA, EPICs, Excel, Google Sheets, and Agile methodologies

● Team player with leadership qualities

● Decision-making ability and team management skills

● Interest in working in a startup environment with cutting-edge products

● Experience with design and architecture patterns

● Understanding of testing processes, debugging, code versioning, and repositories

● UI/UX experience

● Strong knowledge of Java & Kotlin

● Software development experience with strong coding skills

● Experience building services for data delivery to mobile clients

● Experience with relational and non-relational databases

● Knowledge of REST and JSON data handling

● Experience with libraries like Retrofit, RxJava, Dagger 2, Lottie

● Server integration (REST endpoints)

● Experience with AWS stack and Linux

● Apps shipped and available on Google Play

● Backend API development

● Familiarity with Android Studio, Eclipse IDE

● Good knowledge of mobile hardware, software, and operating systems

● Willingness to work in a fast-paced startup environment

● Strong oral communication and presentation skills

● Team-oriented, with a positive approach to technology and engineering

● Result-oriented with a focus on efficiency and timeliness

● Strong self-awareness and ability to work under deadlines

● Proficiency in Microsoft Project, PowerPoint, Excel, Word

● Willingness to mentor and manage team members

● Willing to travel 5–10% of the time for demos, training, and collaboration

Preferred Background:

● Understanding of Artificial Intelligence and Machine Learning

● B.S. / M.S. in Computer Science, Electrical, or Electronics Engineering

● 5+ years’ experience with Android, Java Server, JSP

● Experience with Virtual Reality and Augmented Reality

● Familiarity with Test-Driven Development

● Background in CS or ECE

● Python experience is a big plus

● iOS development knowledge (not mandatory)

● Strong foundation in data structures and algorithms

We are seeking a talented AI/ML Engineer with strong hands-on experience in Generative AI and Large Language Models (LLMs) to join our Business Intelligence team. The role involves designing, developing, and deploying advanced AI/ML and GenAI-driven solutions to unlock business insights and enhance data-driven decision-making.

Key Responsibilities:

• Collaborate with business analysts and stakeholders to identify AI/ML and Generative AI use cases.

• Design and implement ML models for predictive analytics, segmentation, anomaly detection, and forecasting.

• Develop and deploy Generative AI solutions using LLMs (GPT, LLaMA, Mistral, etc.).

• Build and maintain Retrieval-Augmented Generation (RAG) pipelines and semantic search systems.

• Work with vector databases (FAISS, Pinecone, ChromaDB) for embedding storage and retrieval.

• Develop end-to-end AI/ML pipelines from data preprocessing to deployment.

• Integrate AI/ML and GenAI solutions into BI dashboards and reporting tools.

• Optimize models for performance, scalability, and reliability.

• Maintain documentation and promote knowledge sharing within the team.

Mandatory Requirements:

• 4+ years of relevant experience as an AI/ML Engineer.

• Hands-on experience in Generative AI and Large Language Models (LLMs) – Mandatory.

• Experience implementing RAG pipelines and prompt engineering techniques.

• Strong programming skills in Python.

• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).

• Experience with vector databases (FAISS, Pinecone, ChromaDB).

• Strong understanding of SQL and database systems.

• Experience integrating AI solutions into BI tools (Power BI, Tableau).

• Strong analytical, problem-solving, and communication skills. Good to Have

• Experience with cloud platforms (AWS, Azure, GCP).

• Experience with Docker or Kubernetes.

• Exposure to NLP, computer vision, or deep learning use cases.

• Experience in MLOps and CI/CD pipelines

Head of Product & Technology (CTPO – AI & Product), Miror

Miror is an early-stage, AI-driven health platform focused on women’s health, translating clinical and hormonal health protocols into scalable digital solutions for women in midlife. We are seeking a Head of Product & Technology (CTPO) who will own the end-to-end product vision and roadmap, lead AI-powered product development, and partner closely with a small engineering team to deliver impactful features.

The Role

You will sit at the intersection of healthcare, AI, product, and engineering, defining what we build, why it matters, and in what order. This is a hands-on leadership role for someone who can set strategy for women’s health and AI, while remaining close to discovery, design, and delivery with engineers.

Key responsibilities

Product leadership

·       Own and define the product roadmap aligned with Miror’s vision of holistic menopausal care and long-term health outcomes.    

·       Lead discovery to deeply understand user needs across symptoms, lifestyle, mental health, and engagement, especially for women navigating peri/menopause.

·       Translate clinical and hormonal health protocols into user-friendly digital journeys and AI-assisted experiences.

·       Design and iterate on features for symptom tracking and trend analysis, protocol adherence and personalization, community engagement, and integration of supplements, diet, and consultations.

·       Balance short-term MVP execution with long-term platform scalability and data foundations.

AI and technical ownership (product side)

·       Work with the team to select and refine AI approaches (APIs vs custom models, retrieval-augmented generation vs fine-tuning, guardrails, evaluation strategies) aligned with user value, safety, and constraints in a health context.

·       Define user experience patterns for AI, including prompting, input/output flows, user controls, transparency, and safety expectations.

·       Contribute to evaluation and monitoring frameworks for quality, safety, and latency so AI features are reliable, clinically responsible, and privacy aware.

·       Collaborate with engineers as the technical authority on high-level architecture for apps, backend, data pipelines, analytics, and integrations.

·       Make pragmatic build vs buy decisions and manage external vendors or development partners when needed.

Roadmap and prioritization

·       Translate company and user goals into a clear, prioritized 3–6-month roadmap with a strong emphasis on AI-powered experiences.

·       Identify, validate, and prioritize AI use cases such as intake and assessment flows, symptom triage, coaching copilots, personalization, and insight dashboards.

Define analytics requirements and feedback loops to measure impact and enable rapid experimentation and iteration.

Delivery with the engineering team

·       Facilitate product rituals for the engineering team, including backlog grooming, sprint planning, and asynchronous check-ins.

Ensure the team focuses on high-impact problems and that scope supports rapid learning rather than over-building.

Collaborate with engineers to determine sequencing, including what to prioritize for MVP, what to refine, and what to defer.

Communicate complex technical and product concepts clearly to non-technical stakeholders, including the founder and clinical experts.

Healthcare, compliance, and clinical grounding

·       Work closely with medical advisors, doctors, and nutrition experts to ensure clinical credibility in all product and AI experiences.

·       Ensure the product and data architecture align with healthcare regulations and data privacy standards relevant to women’s health.

·       Help establish frameworks for evidence-based recommendations and protocol validation over time.

Ideal candidate profile

Experience

·       8–10 years in product management, technology leadership, or engineering, with increasing ownership of roadmap, requirements, and delivery.

·       Experience as an AI Product Manager, Technical Product Manager, or similar role working closely with a small engineering team.

·       Proven track record of building and scaling consumer-facing digital products, ideally including at least one AI or large language model-powered product (e.g., chatbot, copilot, personalization system, or workflow automation).

·       Prior experience in healthcare, health tech, wellness, or femtech strongly preferred; experience with health data, behavior change, or regulated environments is a plus.

Skills and competencies

·       Strong product thinking with deep empathy for women navigating peri/menopause and midlife health challenges.

Solid technical foundation: able to read code and architectural diagrams, discuss trade-offs with engineers, and prototype with APIs or LLMs without being the primary individual contributor.

Ability to translate medical and scientific concepts into usable digital experiences and AI-assisted flows.

·       Data-driven mindset, comfortable using analytics and experiments to inform decisions.

·       Comfortable operating in ambiguity and early-stage environments, with a bias toward action and learning.

Engagement details

·       Type: Part-time or contract, with potential for extension or evolution into a longer-term leadership role if there is strong mutual fit

·       Hours: Approximately 15–20 hours per week to start, with flexibility for the right candidate.

·       Duration: Initial 12-week engagement focused on defined outcomes, with the option for ongoing collaboration.

·       Remote position with some overlap required with India or US time zones.

Initial milestone (first 4–6 weeks)

·       Co-create a six-month, AI-focus8-weekduct and technology roadmap for Miror, including clear problem statements, sequencing, and success metrics.

·       Take ownership of one flagship AI feature from concept to launch (for example, a perimenopause assessment or AI coaching companion), including discovery, PRD, user experience flow, and guiding engineers through implementation and launch.

·       Establish foundational product and delivery processes with the engineering team (backlog management, rituals, and metrics) to ensure continuity after the initial engagement.

Job Description:

As a Data Science Intern, you will collaborate with our data science and analytics teams to work on meaningful projects involving data analysis, predictive modeling, and statistical modeling. You will have the opportunity to apply your academic knowledge in a practical, fast-paced environment, contribute to key data-driven projects, and gain valuable experience with industry-leading tools and technologies.

Responsibilities:

• Assist in collecting, cleaning, and preprocessing data from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and implement machine learning models and algorithms.
• Create data visualizations and reports to communicate findings to stakeholders.
• Collaborate with team members on data-driven projects and research.
• Participate in meetings and contribute to discussions on project progress and strategy.
• Work with large datasets to clean, preprocess, and analyze data.
• Build and deploy statistical and machine learning models to generate actionable insights.
• Conduct exploratory data analysis (EDA) to uncover trends, patterns, and correlations.
• Assist in the creation of data visualizations and dashboards for reporting insights.
• Support the development and improvement of data pipelines and algorithms.
• Collaborate with cross-functional teams to understand data needs and translate them into actionable analytics solutions.
• Contribute to the documentation and presentation of results, findings, and recommendations.
• Participate in team meetings, brainstorming sessions, and project discussions.

Duration: 03 Months (with the possibility of extending up to 6 months)

MODE: Work From Home (Online)

Requirements:

• Any Graduate / PassOuts / Freasher can apply.
• Currently pursuing a Bachelor's or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
• Proficiency in programming languages such as Python, R, or SQL.
• Strong foundation in statistics, probability, and data analysis techniques.

Benefits

Internship Certificate

Letter of recommendation

Stipend Performance Based

Part time work from home (2-3 Hrs per day)

5 days a week, Fully Flexible Shift

About the Job :

We are looking for a passionate and driven AI Intern to join our dynamic team. As an intern, you will have the opportunity to work on real-world projects, develop AI models, and collaborate with experienced professionals in the field. This internship is designed to provide hands-on experience in AI and machine learning, offering you the chance to contribute to impactful projects while enhancing your skills.

Job Description:

We are seeking a talented Artificial Intelligence Specialist to join our dynamic team. As an AI Specialist, you will be responsible for developing, implementing, and optimizing AI models and algorithms. You will collaborate closely with cross-functional teams to integrate AI capabilities into our products and services. The ideal candidate should have a strong background in machine learning, deep learning, and natural language processing, with a passion for applying AI to real-world problems.

Responsibilities:

• Design, develop, and deploy AI models and algorithms.
• Conduct data analysis and pre-processing to prepare data for modeling.
• Implement and optimize machine learning algorithms.
• Collaborate with software engineers to integrate AI models into production systems.
• Evaluate and improve the performance of existing AI models.
• Stay updated with the latest advancements in AI research and apply them to enhance our products.
• Provide technical guidance and mentorship to junior team members.

Requirements:

• Any Graduate / Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; Master's degree preferred.
• Proven experience in developing and implementing machine learning models and algorithms.
• Strong programming skills in languages such as Python, R, or Java.

Benefits :

• Internship Certificate
• Letter of Recommendation
• Performance-Based Stipend
• Part-time work from home (2-3 hours per day)
• 5 days a week, fully flexible shift

About the job

We are looking for a motivated and enthusiastic Web Development Intern to join our team. As an intern, you will have the opportunity to work on exciting web projects and gain hands-on experience in front-end and back-end development. This internship is designed to provide you with a solid foundation in web development while contributing to real-world projects.

Eligibility

• Access to a PC or Laptop with a reliable internet connection.
• Good understanding of the English language.
• Any graduate with a desire to become a web developer. Freshers are welcome.
• Knowledge of HTML, CSS, and JavaScript is a plus but NOT mandatory.

Freshers are encouraged to apply. Comprehensive training will be provided, so no prior coding experience is necessary.

Responsibilities

• Creating new websites from scratch.
• Redesigning and rebuilding existing websites.
• Creating sitemaps and designing wireframes.
• Collaborating with teams and managing workspaces.
• Creating effective content to ensure user engagement.
• Working on Front-End development to create interactive User Interfaces (UI).
• Building easy navigation for a solid User Experience (UX).
• Working on Back-End development to ensure fast and error-free website performance.

Benefits

• Internship Certificate
• Letter of Recommendation
• Performance-Based Stipend
• Part-time work from home (2-3 hours per day)
• 5 days a week, fully flexible shift

Roles & Responsibilities:

● Develop and maintain Android applications using Kotlin & Java

● Build modern, responsive UI using Jetpack Compose

● Work with MVVM architecture and follow Android best practices

● Integrate REST APIs and third-party libraries

● Use AI tools (ChatGPT, GitHub Copilot, etc.) to improve development efficiency

● Collaborate with designers, developers, and stakeholders

● Debug, optimize performance, and ensure app quality

Requirements:

● 2–4 years of hands-on experience in Android development (Kotlin)

● Strong experience with Jetpack Compose & Strong debugging skills

● Good understanding of MVVM architecture and Android lifecycle

● Experience with REST APIs and third-party integrations

● Familiarity with AI-powered development tools

● Knowledge of Git/version control

● Strong problem-solving skills and attention to detail

● Good communication and teamwork skills

AI Automation Engineer – Intelligent Systems

(AI Generalist – Automation & Intelligent Systems)

📍 Location: Bengaluru (Onsite)

🏢 Company: Learners Point Academy

📊 Reporting To: Head

🕒 Employment Type: Full-Time

🎯 Role Summary

Learners Point Academy is seeking a hands-on AI Automation Engineer to architect, deploy, and scale intelligent automation systems across Sales, Marketing, Academics, Operations, Finance, and Customer Experience.

🧠 What This Role Requires:

• A Systems Thinker
• A Hands-on Builder
• An Automation Architect
• An AI Deployment Specialist

Core Responsibilities

1️⃣ Operational Workflow Automation

• Automate CRM workflows (Bitrix24 / Zoho or similar)
• Build intelligent lead scoring systems
• Auto-generate proposals from structured CRM inputs
• Deploy WhatsApp automation with tiered logic
• Design cross-functional task routing systems
• Implement automated follow-up sequences
• Build cross-department reporting pipelines

2️⃣ AI Agents & Intelligence Systems

• Build internal AI Sales Assistant (copilot model)
• Develop Academic AI Assistant (summaries, grading support)
• Create AI-powered reporting dashboards
• Build centralized AI knowledge base
• Develop customer segmentation intelligence
• Implement predictive closure timeline models

3️⃣ LMS & Assessment Automation

• Design AI-powered quiz generation systems
• Implement auto-grading frameworks
• Integrate Zoom attendance with LMS tracking
• Automate certification workflows
• Build student performance dashboards
• Ensure seamless LMS–CRM synchronization

4️⃣ Revenue & Growth Intelligence

• Develop pipeline scoring engines
• Deploy sales copilot (email drafting, objection handling)
• Build AI-driven pricing optimization tools
• Design churn prediction logic
• Automate ad spend tracking systems
• Create performance intelligence dashboards

5️⃣ AI Architecture & Governance

• Define AI usage SOPs
• Maintain structured prompt libraries
• Document system architecture & workflows
• Ensure scalable, secure system design
• Build reusable frameworks — avoid patchwork automation

🔧 Required Technical Skills

Mandatory:

• Workflow Automation: Zapier / Make / n8n
• CRM Automation (Bitrix24 / Zoho / similar)
• LLM API Integration (OpenAI, Claude, etc.)
• REST APIs & Webhook Integrations
• Python or JavaScript scripting
• Google Workspace Automation
• Business Process Automation Design

Good to Have

• Lang Chain or AI Agent Frameworks
• Vector Databases & RAG Systems
• Whats App Business API Integration
• Workflow Orchestration Tools
• BI Tools (Power BI / Looker)
• LMS Integration Experience

🎓 Qualifications

• Bachelor’s / Master’s in Engineering, Computer Science, AI, or related field
• 3–6 years experience in AI deployment, automation, or systems integration
• Demonstrated experience implementing automation in business environments
• Portfolio of deployed AI systems (production-grade, not academic-only)

📈 Ideal Candidate Profile

You:

• Think in systems, not scripts
• Understand real-world business workflows
• Have deployed AI agents in production
• Can connect CRM + LMS + Communication tools seamlessly
• Can explain technical architecture clearly to leadership
• Prefer measurable business impact over experimental prototypes

🚫

This Role Is NOT For

• Pure ML researchers
• Academic AI model developers
• Candidates without business automation exposure
• Candidates without real deployment experience

About MyOperator

MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & voice bots into one intelligent business communication platform.Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement

Role Summary

We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.

This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.

Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.

Responsibilities

Requirement Discovery & Stakeholder Interaction

• Join customer calls alongside Sales and Revenue teams.
• Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
• Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
• Act as the AI subject-matter expert during client discussions.

Use Case & Solution Documentation

• Convert discussions into clear, structured use case documents, including:
• Problem statement & goals.
• Current vs. proposed conversational flows.
• Chatbot conversation logic, integrations, and dependencies.
• Assumptions, limitations, and success criteria.

Customer Delivery Ownership

Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.

Prompt Engineering & Conversation Design

Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."

Testing, Debugging & Iteration

Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.

Integrations & Technical Coordination

Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.

What Success Looks Like

• Customer bots go live quickly and show high containment + high task completion with low escalation.
• You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
• Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.

Requirements (Must Have)

• 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
• Willingness to be front deployed (customer calls/visits as needed).

Good to Have (Nice to Have)

• Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects. 
• Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
• Prior SaaS onboarding/delivery experience in mid-market or enterprises.

Working Style & Traits We Value

• High agency: you don’t wait for perfect specs—you create clarity and ship.
• Customer empathy + engineering discipline.
• Strong bias for iteration: deploy → learn → improve.
• Calm under ambiguity (real customer environments are chaotic by default).

About Us

AtDrive Infotech is a forward-thinking IT company dedicated to delivering innovative solutions using cutting-edge web technologies. We are passionate about creating intelligent, scalable, and cohesive applications that drive impact. We are seeking skilled Web Developers to join our dynamic team and contribute to transformative projects.

Key Responsibilities

• Design, architect, and develop secure, high-performance, and scalable web solutions.
• Manage the full application lifecycle, including concept, design, development, testing, deployment, release, and ongoing support.
• Create engaging, device-specific user interfaces to enhance user experience.
• Develop and maintain robust APIs to support seamless integration and functionality.
• Participate actively in all phases of the software development lifecycle.
• Provide technical and architectural leadership to development teams.

Qualifications

• Bachelor’s or Master’s degree in Engineering, specializing in Computer Science, Information Technology, or a related field.
• Minimum of 1 year of relevant experience in web design and development.

Desired Skills and Experience

• Core Technical Skills:
• Strong expertise in Angular for building dynamic, client-side applications.
• Proficiency in Node.js for developing scalable server-side applications.
• Advanced knowledge of MySQL for designing and managing relational databases.
• Expertise in API Development for creating secure, efficient, and scalable APIs to support application functionality and third-party integrations.
• Hands-on experience with web technologies: JavaScript, Bootstrap, jQuery, HTML5, CSS, and open-source platforms.
• Proficiency in CSS customization and MVC frameworks.
• Experience with AJAX, XML, and e-commerce platforms.
• AI Knowledge:
• Familiarity with AI concepts and their application in web development (e.g., integrating AI-driven features or APIs).
• Client Communication:
• Exceptional written and verbal communication skills in English, with the ability to effectively collaborate with clients and stakeholders.
• Additional Skills:
• Real-time testing capabilities during development to ensure quality.
• Exposure to client-side technologies like AngularJS is a plus.
• Ability to work independently and collaboratively within a team.
• Strong dedication and commitment to delivering high-quality work.

Personal Attributes

• Thrives in a fast-paced, dynamic environment with a focus on quality and efficiency.
• Strong problem-solving and troubleshooting skills.
• Excellent interpersonal and communication skills (both verbal and written).
• Ability to prioritize and manage multiple tasks to meet tight deadlines.
• Self-motivated with the ability to work with minimal supervision.
• Innovative and proactive approach to problem-solving.
• Flexible and adaptable, with a strong sense of ownership for resolving challenges.
• Capable of multitasking under pressure while maintaining high standards.

Evaluation Criteria

Candidates will be assessed based on the following key parameters:

• Angular Expertise: Demonstrated ability to build robust, dynamic web applications using Angular.
• Node.js Proficiency: Experience in developing efficient, scalable server-side applications.
• MySQL Competence: Strong skills in designing and optimizing relational databases.
• API Development: Proficiency in designing and implementing secure, efficient, and scalable APIs.
• AI Knowledge: Understanding of AI concepts and their practical application in web development.
• Client Communication: Ability to clearly articulate technical concepts and collaborate effectively with clients.

Why Join Us?

If you are passionate about web development, eager to work on challenging projects, and ready to contribute to AtDrive Infotech’s success, we invite you to apply. Join our team and be part of an exciting journey to shape the future of technology!

Apply Now: Share your resume and portfolio to embark on a rewarding career with AtDrive Infotech.

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

We are looking for a passionate AI/ML Intern with hands-on exposure to Large Language Models (LLMs), fine-tuning techniques like LoRA, and strong fundamentals in Data Structures & Algorithms (DSA). This role is ideal for someone eager to work on real-world AI applications, experiment with open-source models, and contribute to production-ready AI systems.

Duration: 6 months

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

After completion of the internship period, there is a chance to get a full-time opportunity as AI/ML engineer (6-8 LPA).

Compensation:

- Stipend: Base is INR 8000/- & can increase up to 20000/- depending upon performance matrix.

Key Responsibilities

• Work on Large Language Models (LLMs) for real-world AI applications.
• Implement and experiment with LoRA (Low-Rank Adaptation) and other parameter-efficient fine-tuning techniques.
• Perform model fine-tuning, evaluation, and optimization.
• Engage in prompt engineering to improve model outputs and performance.
• Develop backend services using Python for AI-powered applications.
• Utilize GitHub for version control, including managing branches, pull requests, and code reviews.
• Work with AI platforms such as Hugging Face and OpenAI to deploy and test models.
• Collaborate with the team to build scalable and efficient AI solutions.

Must-Have Skills

• Strong proficiency in Python.
• Hands-on experience with LLMs (open-source or API-based).
• Practical knowledge of LoRA or other parameter-efficient fine-tuning techniques.
• Solid understanding of Data Structures & Algorithms (DSA).
• Experience with GitHub and version control workflows.
• Familiarity with Hugging Face Transformers and/or OpenAI APIs.
• Basic understanding of Deep Learning and NLP concepts.

🤖 Robotics Engineer

Company: Pentabay Softwares

Location: Anna Salai (Mount Road), Chennai

Employment Type: Full-Time

🔹 Job Summary

Pentabay Softwares is seeking a highly skilled and innovative Robotics Engineer to design, develop, test, and implement robotic systems and automation solutions. The ideal candidate will have strong technical expertise in robotics programming, control systems, and hardware integration, along with a passion for building intelligent and efficient systems.

🔹 Key Responsibilities

Design, develop, and test robotic systems and automation solutions

Develop and implement control algorithms and motion planning systems

Integrate sensors, actuators, and embedded systems

Program robots using languages such as Python, C++, or ROS

Troubleshoot, debug, and optimize robotic applications

Collaborate with cross-functional teams including software, hardware, and AI engineers

Ensure compliance with safety and quality standards

Document system architecture, processes, and technical specifications

🔹 Required Qualifications

Bachelor’s or Master’s degree in Robotics, Mechatronics, Mechanical, Electronics, or related field

2+ years of experience in robotics development (preferred)

Strong knowledge of robotics frameworks (e.g., ROS)

Experience with microcontrollers, embedded systems, and sensor integration

Familiarity with AI/ML concepts is a plus

Strong analytical and problem-solving skills

🔹 Preferred Skills

Experience with computer vision systems

Knowledge of SLAM, kinematics, and motion planning

Experience with industrial automation or autonomous systems

Strong teamwork and communication skills

🌟 Why Join Pentabay Softwares?

Work on innovative and future-focused technologies

Collaborative and growth-oriented work culture

Opportunities for skill development and career advancement

Exposure to cutting-edge automation and AI-driven projects

We are looking for a visionary and hands-on Head of Data Science and AI with at least 6 years of experience to lead our data strategy and analytics initiatives. In this pivotal role, you will take full ownership of the end-to-end technology stack, driving a data-analytics-driven business roadmap that delivers tangible ROI. You will not only guide high-level strategy but also remain hands-on in model design and deployment, ensuring our data capabilities directly empower executive decision-making.

If you are passionate about leveraging AI and Data to transform financial services, we invite you to lead our data transformation journey.

Key Responsibilities

Strategic Leadership & Roadmap

• End-to-End Tech Stack Ownership: Define, own, and evolve the complete data science and analytics technology stack to ensure scalability and performance.
• Business Roadmap & ROI: Develop and execute a data analytics-driven business roadmap, ensuring every initiative is aligned with organizational goals and delivers measurable Return on Investment (ROI).
• Executive Decision Support: Create and present high-impact executive decision packs, providing actionable insights that drive key business strategies.

Model Design & Deployment (Hands-on)

• Hands-on Development: Lead by example with hands-on involvement in AI modeling, machine learning model design, and algorithm development using Python.
• Deployment & Ops: Oversee and execute the deployment of models into production environments, ensuring reliability, scalability, and seamless integration with existing systems.
• Leverage expert-level knowledge of Google Cloud Agentic AI, Vertex AI and BigQuery to build advanced predictive models and data pipelines.
• Develop business dashboards for various sales channels and drive data driven decision making to improve sales and reduce costs. 

Governance & Quality

• Data Governance: Establish and enforce robust data governance frameworks, ensuring data accuracy, security, consistency, and compliance across the organization.
• Best Practices: Champion best practices in coding, testing, and documentation to build a world-class data engineering culture.

Collaboration & Innovation

• Work closely with Product, Engineering, and Business leadership to identify opportunities for AI/ML intervention.
• Stay ahead of industry trends in AI, Generative AI, and financial modeling to keep Bajaj Capital at the forefront of innovation.

Must-Have Skills & Experience

Experience:

• At least 7 years of industry experience in Data Science, Machine Learning, or a related field.
• Proven track record of applying AI and leading data science teams or initiatives that resulted in significant business impact.

Technical Proficiency:

• Core Languages: Proficiency in Python is mandatory, with strong capabilities in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
• Cloud Data Stack: Expert-level command of Google Cloud Platform (GCP), specifically Agentic AI, Vertex AI and BigQuery.
• AI & Analytics Stack: Deep understanding of the modern AI and Data Analytics stack, including data warehousing, ETL/ELT pipelines, and MLOps.
• Visualization: PowerBI in combination with custom web/mobile applications.

Leadership & Soft Skills:

• Ability to translate complex technical concepts into clear business value for stakeholders.
• Strong ownership mindset with the ability to manage end-to-end project lifecycles.
• Experience in creating governance structures and executive-level reporting.

Good-to-Have / Plus

• Domain Expertise: Prior experience in the BFSI domain (Wealth Management, Insurance, Mutual Funds, or Fintech).
• Certifications: Google Professional Data Engineer or Google Professional Machine Learning Engineer certifications.
• Advanced AI: Experience with Generative AI (LLMs), RAG architectures, and real-time analytics.

In this role, you'll be responsible for building machine learning based systems and conduct data analysis that improves the quality of our large geospatial data. You’ll be developing NLP models to extract information, using outlier detection to identifying anomalies and applying data science methods to quantify the quality of our data. You will take part in the development, integration, productionisation and deployment of the models at scale, which would require a good combination of data science and software development.

Responsibilities

• Development of machine learning models
• Building and maintaining software development solutions
• Provide insights by applying data science methods
• Take ownership of delivering features and improvements on time

Must-have Qualifications

• 4 year's experience 
• Senior data scientist preferable with knowledge of NLP
• Strong programming skills and extensive experience with Python
• Professional experience working with LLMs, transformers and open-source models from HuggingFace
• Professional experience working with machine learning and data science, such as classification, feature engineering, clustering, anomaly detection and neural networks
• Knowledgeable in classic machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN etc.).
• Experience using deep learning libraries and platforms, such as PyTorch
• Experience with frameworks such as Sklearn, Numpy, Pandas, Polars
• Excellent analytical and problem-solving skills
• Excellent oral and written communication skills

Extra Merit Qualifications

• Knowledge in at least one of the following: NLP, information retrieval, data mining
• Ability to do statistical modeling and building predictive models
• Programming skills and experience with Scala and/or Java

Job Description -

Profile: AI/ML

Experience: 4-8 Years

Mode: Remote

Mandatory Skills - AI/ML, LLM, RAG, Agentic AI, Traditional ML,  GCP

Must-Have:

● Proven experience as an AI/ML specifically with a focus on Generative AI and Large Language Models (LLMs) in production.

● Deep expertise in building Agentic Workflows using frameworks like LangChain, LangGraph, or AutoGen.

● Strong proficiency in designing RAG (Retrieval-Augmented Generation) 

● Experience with Function Calling/Tool Use in LLMs to connect AI models with external APIs (REST/gRPC) for transactional tasks

● Hands-on experience with Google Cloud Platform (GCP), specifically Vertex AI, Model Garden, and deploying models on GPUs

● Proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).

Why Antier?

In today’s digital world, technology is no longer just a support function — it is the primary driver of business growth. Organizations across industries are actively adopting Artificial Intelligence and emerging technologies to automate operations, improve decision-making, and build new digital products.

Antier enables this transformation.

We harness leading-edge technologies and deliver forward-thinking solutions that help businesses modernize systems, create intelligent workflows, and unlock long-term value.

With a 600+ strong team of engineers, architects, and technology specialists, Antier has established itself as a global engineering partner in Blockchain and Web3. Building on this foundation, Antier is now expanding its Artificial Intelligence vertical, helping organizations implement:

• Generative AI & LLM powered applications
• AI copilots & enterprise assistants
• Business process automation
• Predictive analytics & data intelligence platforms
• AI integrations into SaaS and enterprise products

We are looking for a sales professional who can understand business problems and position AI as a practical solution — not just a technology pitch.

Role Overview

We are seeking a highly motivated and results-oriented Business Development Manager – AI to drive new client acquisition and revenue growth for Antier’s AI solutions.

The role involves identifying opportunities, engaging decision-makers, running discovery conversations, and converting business challenges into AI solution engagements. You will work closely with solution architects and technical teams during pre-sales and proposal stages.

Key Responsibilities

Opportunity Generation

• Research and identify new business opportunities, markets, and industries adopting AI
• Prospect startups, funded companies, SaaS platforms, and enterprises
• Generate leads via outbound channels (LinkedIn, email, events, networking)
• Identify and reach key stakeholders (CTO, Head of Product, Innovation, Operations leaders)

Consultative Selling

• Conduct discovery calls to understand client business challenges
• Translate business requirements into AI solution opportunities
• Present Antier’s AI capabilities and use-cases to clients
• Coordinate with technical teams for solutioning and effort estimation
• Prepare tailored proposals, capability decks, and commercial discussions

Pipeline & Revenue Management

• Build and manage a qualified sales pipeline
• Negotiate commercials and close deals
• Maintain CRM updates and reporting discipline
• Forecast revenue and present progress to leadership
• Consistently achieve monthly and quarterly targets

Client Relationship Management

• Develop long-term client relationships and identify upsell opportunities
• Act as the primary point of contact during pre-sales and onboarding
• Ensure a smooth handover to delivery teams

Market Awareness

• Stay updated with trends in Generative AI, automation, and enterprise adoption
• Monitor competitor offerings and market positioning
• Provide feedback to marketing for campaigns and messaging

Preferred Skill Sets

1. 4–6 years experience in IT Services / Technology Consulting sales
2. Experience selling AI, Data, SaaS, Cloud, Automation, or Product Engineering services
3. Strong understanding of Generative AI use-cases (Chatbots, copilots, automation, analytics)
4. Experience in outbound sales and lead generation
5. Excellent communication and presentation skills
6. Ability to interact with technical and business stakeholders
7. Negotiation and closing ability
8. Self-driven, target-oriented, and proactive mindset
9. Strategic thinking and problem-solving ability
10. Experience in Management Consultancy or Blockchain industry is a plus

What Will Make You Successful in This Role

• Ability to ask the right business questions (not just pitch services)
• Comfort discussing AI use-cases with decision makers
• Ownership of pipeline and closures
• Consistent outbound effort and relationship building

Why Join Antier?

• Work on cutting-edge AI and emerging technologies
• Exposure to global clients and funded startups
• High-ownership role with fast career growth
• Opportunity to build and scale a new business vertical