50+ Artificial Intelligence (AI) Jobs in India

🚀 Join GuppShupp: Build Bharat's First AI Lifelong Friend

GuppShupp's mission is nothing short of building Bharat's First AI Lifelong Friend. This is more than just a chatbot—it's about creating a truly personalized, consistently available companion that understands and grows with the user over a lifetime. We are pioneering this deeply personal experience using cutting-edge Generative AI.

We're hiring a Founding AI Engineer (1+ Year Experience) to join our small team of A+ builders and craft the foundational LLM and infrastructure behind this mission.

If you are passionate about:

• Deep personalization and managing complex user state/memory.
• Building high-quality, high-throughput AI tools.
• Next-level infrastructure at an incredible scale (millions of users).

What you'll do (responsibilities)

We're looking for an experienced individual contributor who enjoys working alongside other experienced engineers and iterate on AI

Prompt Engineering & Testing

• Write, test, and iterate numerous prompt variations.
• Identify and fix failures, biases, or edge cases in AI responses.

Advance LLM and Development

• Engineer solutions for long-term conversational memory and statefulness in LLMs.
• Implement techniques (e.g., retrieval-augmented generation (RAG) or summarization) to effectively manage and extend the context window for complex tasks.

Collaboration & Optimization

• Work with product and growth teams to turn feature goals into effective technical prompts.
• Optimize prompts for diverse use cases (e.g., chat, content, personalization).

LLM Fine-Tuning & Management

• Prepare, clean, and format datasets for training.
• Run fine-tuning jobs on smaller, specialized language models.
• Assist in deploying, monitoring, and maintaining these models

What we're looking for (qualifications)

You are an AI Engineer who has successfully shipped systems in this domain for over a year—you won't need ramp-up time. We prioritize continuous learning and hands-on skill development over formal qualifications. Crucially, we are looking for a teammate driven by a sense of duty to the user and a passion for taking full ownership of their contributions.

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

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

Things you'll be working on

1. How to improve conversion rate? How do we make sure our message resonates with more & more people who land on the website. This will mean mapping their journey before they land and following through to understand what is it they're seeing on the website and why are they not moving forward.
2. Understand the user's pain points and incorporate proactive solutions in our digital communication for the channels you own.
3. Collaborating to find tech enabled solutions to business problems like how do we make our packaging staff more efficient, how do we manage inventory better, ensuring communication around delays is automated and handled better, etc.
4. Working on setting up and optimizing our CRM for better engaging with the users.

Qualifications

• 2+ years of working experience
• Previous experience in product is mandatory
• Experience with Shopify is a plus
• Strong with numbers and ability to manage multiple moving pieces together
• Ability to communicate well with all team members and keep members in sync
• Functional knowledge of AI tools and ability to learn new ones will help you stand out

Location: Mumbai / Remote

Department: AI & Automation

Role Objective

Build intelligent, multilingual AI agents that combine LLM reasoning with live communication channels to assist humans in real-time.

Key Responsibilities

• Design and deploy AI agent workflows using LangChain / Bedrock / OpenAI APIs.
• Develop contextual memory, persona, and tone control.
• Integrate agents into Jodo Online, Jodo QA, Jodo Admin, Jodo C3, and Toolbar Apps.
• Optimize latency and conversation flow for real-time interactions.
• Implement compliance and audit hooks within AI pipelines.

Required Skills & Experience

• 3–7 years in AI engineering, NLP, or chatbot frameworks.
• Experience with Python/Node.js LLM APIs.
• Familiar with RAG architectures and vector DBs.
• Understanding of multilingual processing and ethics AI.

What Success Looks Like

• < 2 s response time.
• 95 % contextual accuracy.

Why Join Us

Shape the digital workforce of the borderless economy — where humans and AI execute seamlessly together.

https://www.avhan.com/job/ai-agent-developer/

We're seeking an AI/ML Engineer to join our team-

As an AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real world business problems. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop. Your role will involve researching cutting-edge algorithms, data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities

• Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI
• AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.
• Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data
• Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics
• Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behavior, and performance metrics
• Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems
• Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes
• Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions
• Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference

Requirements

• Bachelor's, Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus
• Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects
• Proficiency in programming languages commonly used for AI/ML. Preferably Python
• Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.
• Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.
• Strong understanding of machine learning algorithms, statistics, and data structures
• Experience with data preprocessing, data wrangling, and feature engineering
• Knowledge of deep learning architectures, neural networks, and transfer learning
• Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment
• Solid understanding of software engineering principles and best practices for writing maintainable and scalable code
• Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions
• Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders

We’re seeking a highly skilled, hands-on Product Engineer with strong end-to-end product development experience - from concept (0→1) through iterative launch and scaling. You’ll own features across the stack (frontend, backend, infra), with a strong sense of UX, design quality, and user empathy.

The ideal candidate has shipped real products publicly on Product Hunt, App Store, or live web platforms and can demonstrate thoughtful product decisions, iteration, and measurable user impact. You’ll work in a lean, high-velocity pod alongside ML and DevOps specialists, contributing not just code but direction, polish, and execution. This is a role for builders who thrive on accountability, autonomy, and the craft of taking products live.

Responsibilities:

• Full-Stack Product Ownership: Design, build, and ship features end-to-end - from concept to deployment - ensuring smooth, performant, and polished user experiences.
• Frontend & UX Craft: Implement high-quality, responsive, and performant interfaces. Own details like animations, progress indicators, and state management for media-heavy workflows.
• Backend & Infrastructure: Build robust APIs, real-time features, and integrations with ML pipelines. Ensure reliability, scalability, and maintainability.
• Media & Streaming Systems: Develop performant video workflows, upload/processing flows, streaming, and playback experiences with real-time progress tracking.
• AI/ML Integration: Collaborate with MLOps engineers to integrate and productionize ML features, handling data flows, inference endpoints, and user-facing AI interactions.
• DevOps & CI/CD: Manage efficient deployments using modern cloud tooling (preferably GCP) and maintain CI/CD pipelines for rapid iteration.
• Product Thinking & Iteration: Drive decisions grounded in user feedback and metrics. Balance trade-offs between polish, speed, and scalability.
• Collaboration & Initiative: Work closely with designers and specialists, proactively proposing improvements and solutions rather than just surfacing blockers.

Requirements

• Experience: Proven record of shipping live products (preferably 3+ years in product-focused engineering).
• Portfolio Evidence: Links to real products, public launches, or active projects (Product Hunt, GitHub, App Store, live demos).
• Full-Stack Skills: Proficient in modern frontend frameworks (Next.js, Firebase Storage SDK, React Query) and backend environments (NestJS, TypeORM, PostgreSQL).
• Media/Video Expertise: Experience with streaming, video processing, encoding, or real-time rendering systems.
• Cloud & CI/CD: Familiar with GCP, containerized deployments (Docker/Kubernetes), and automated pipelines.
• AI/ML Exposure: Comfortable integrating ML models or AI APIs into production features.
• Execution Mindset: Bias toward action, accountability, and high ownership of outcomes.
• Product Sense: Demonstrated ability to think from a user’s perspective — balancing technical feasibility with product value.

Benefits

• Best in class salary: We hire only the best, and we pay accordingly.
• Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
• Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

About us

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies.

Today, we are a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company’s success will be huge. You’ll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams.

We are looking for a Senior Frontend Engineer who excels at building high-performance, scalable, and user-friendly interfaces. You will be responsible for developing new software products, solving complex technical challenges, and delivering high-quality, maintainable front-end code. This role requires a deep understanding of modern frontend technologies, with a strong focus on ReactJS, along with leadership and collaboration skills.

At Proximity, you won’t just build interfaces — you’ll own features end-to-end, collaborate with brilliant peers across design and product, and contribute to the design system that powers experiences for 370M+ daily users.

Responsibilities

• Own and deliver end-to-end features ensuring performance, accessibility, and cross-browser compatibility.
• Build reusable components & libraries, shaping our evolving design system.
• Translate UI/UX designs into high-quality, efficient, maintainable code
• Collaborate with product managers, designers, and backend engineers to create seamless user-facing features.
• Write clean, testable, and documented code, contributing to best practices and code reviews.
• Stay curious and constantly push the boundaries by exploring new technologies and frameworks.
• Develop new user-facing features using ReactJS, ensuring a smooth and responsive user experience.
• Optimize components for maximum performance across a wide array of web-capable devices and browsers.
• Collaborate with UI/UX designers and backend developers to improve usability and design.
• Stay up-to-date with the latest industry trends and technologies, ensuring the application adheres to best practices.
• Write clear, maintainable, and testable code.
• Mentor junior engineers, conduct knowledge-sharing sessions, and contribute to the hiring process.
• Work with product managers and stakeholders to define project requirements and break down complex problems into manageable tasks.
• Ensure timely delivery of project milestones, maintaining high-quality standards.
• Maintain a focus on performance, scalability, and SEO optimization.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
• 3 years of experience in software development, with extensive expertise in ReactJS and its core principles.
• Strong proficiency in React.js/Next.js and modern JavaScript, including DOM manipulation and CSSOM.
• In-depth knowledge of modern front-end development practices, including state management libraries (such as Redux or Flux).
• Experience with RESTful APIs and frontend build pipelines and tools.
• Familiarity with modern authorization mechanisms (e.g., JSON Web Tokens).
• Proficiency in code versioning tools, such as Git.
• Strong problem-solving, communication, and leadership skills.
• Ability to work independently, take ownership of features from design to production, and collaborate with cross-functional teams.
• Solid understanding of SEO principles and ensuring frontend applications adhere to them.
• Experience with responsive and adaptive design, ensuring compatibility across different devices and browsers.
• Deep understanding of browser internals and performance optimization.
• Solid grasp of design & architecture patterns.
• Enthusiasm for learning and contributing in a high-energy team environment.
• Immediate availability to join our remote-first team

Desired Skills:

• Experience with TypeScript.
• Familiarity with modern front-end build tools and methodologies.
• Understanding of Agile development methodologies.
• Open-source contributions or public projects that showcase your craft.

Benefits

• Best in class salary: We hire only the best, and we pay accordingly.
• Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
• Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

About us

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies.

Today, we are a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company’s success will be huge. You’ll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams.

Experience- 6 to 8 years

Location- Bangalore

Job Description-

- Extensive experience with machine learning utilizing the latest analytical models in Python. (i.e., experience in generating data-driven insights that play a key role in rapid decision-making and driving business outcomes.)

- Extensive experience using Tableau, table design, PowerApps, Power BI, Power Automate, and cloud environments, or equivalent experience designing/implementing data analysis pipelines and visualization.

- Extensive experience using AI agent platforms. (AI = data analysis: a required skill for data analysts.)

- A statistics major or equivalent understanding of statistical analysis results interpretation.

At iDreamCareer, we’re on a mission to democratize career guidance for millions of young learners across India and beyond. Technology is at the heart of this mission — and we’re looking for an Engineering Manager who thrives in high-ownership environments, thinks with an enterprising mindset, and gets excited about solving problems that genuinely change lives.

This is not just a management role. It’s a chance to shape the product, scale the platform, influence the engineering culture, and lead a team that builds with heart and hustle.

As an Engineering Manager here, you will:

• Lead a talented team of engineers while remaining hands-on with architecture and development.
• Champion the use of AI/ML, LLM-driven features, and intelligent systems to elevate learner experience.
• Inspire a culture of high performance, clear thinking, and thoughtful engineering.
• Partner closely with product, design, and content teams to deliver delightful, meaningful user experiences.
• Bring structure, clarity, and energy to complex problem-solving.
• This role is ideal for someone who loves building, mentoring, scaling, and thinking several steps ahead.

Key Responsibilities

Technical Leadership & Ownership

• Lead end-to-end development across backend, frontend, architecture, and infrastructure in partnership with product and design teams.
• Stay hands-on with the MERN stack, Python, and AI/ML technologies, while guiding and coaching a high-performance engineering team.
• Architect, develop, and maintain distributed microservices, event-driven systems, and robust APIs on AWS.

AI/ML Engineering

• Build and deploy AI-powered features, leveraging LLMs, RAG pipelines, embeddings, vector databases, and model evaluation frameworks.
• Drive prompt engineering, retrieval optimization, and continuous refinement of AI system performance.
• Champion the adoption of modern AI coding tools and emerging AI platforms to boost team productivity.

Cloud, Data, DevOps & Scaling

• Own deployments and auto-scaling on AWS (ECS, Lambda, CloudFront, SQS, SES, ELB, S3).
• Build and optimize real-time and batch data pipelines using BigQuery and other analytics tools.
• Implement CI/CD pipelines for Dockerized applications, ensuring strong observability through Prometheus, Loki, Grafana, CloudWatch.
• Enforce best practices around security, code quality, testing, and system performance.

Collaboration & Delivery Excellence

• Partner closely with product managers, designers, and QA to deliver features with clarity, speed, and reliability.
• Drive agile rituals, ensure engineering predictability, and foster a culture of ownership, innovation, and continuous improvement

Required Skills & Experience

• 8–12 years of experience in full-stack or backend engineering with at least 5+ years leading engineering teams.
• Strong hands-on expertise in the MERN stack and modern JavaScript/TypeScript ecosystems.
• 5+ years building and scaling production-grade applications and distributed systems.
• 2+ years building and deploying AI/ML products — including training, tuning, integrating, and monitoring AI models in production.
• Practical experience with SQL, NoSQL, vector databases, embeddings, and production-grade RAG systems.
• Strong understanding of LLM prompt optimization, evaluation frameworks, and AI-driven system design.
• Hands-on with AI developer tools, automation utilities, and emerging AI productivity platforms.

Preferred Skills

• Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex, etc.) and advanced tool-calling workflows.
• Experience building async workflows, schedulers, background jobs, and offline processing systems.
• Exposure to modern frontend testing frameworks, QA automation, and performance testing.

We are looking for AI Interns from IIT and Top Colleges of India who have worked on AI Based projects during their tenure or have any experience in AI.

About Us

Mobileum is a leading provider of Telecom analytics solutions for roaming, core network, security, risk management, domestic and international connectivity testing, and customer intelligence.

More than 1,000 customers rely on its Active Intelligence platform, which provides advanced analytics solutions, allowing customers to connect deep network and operational intelligence with real-time actions that increase revenue, improve customer experience, and reduce costs.

Headquartered in Silicon Valley, Mobileum has global offices in Australia, Dubai, Germany, Greece, India, Portugal, Singapore and UK with global HC of over 1800+. 

Join Mobileum Team

At Mobileum we recognize that our team is the main reason for our success. What does work with us mean? Opportunities!

Role: GenAI/LLM Engineer – Domain-Specific AI Solutions (Telecom)

About the Job

We are seeking a highly skilled GenAI/LLM Engineer to design, fine-tune, and operationalize Large Language Models (LLMs) for telecom business applications. This role will be instrumental in building domain-specific GenAI solutions, including the development of domain-specific LLMs, to transform telecom operational processes, customer interactions, and internal decision-making workflows.

Roles & Responsibility:

• Build domain-specific LLMs by curating domain-relevant datasets and training/fine-tuning LLMs tailored for telecom use cases.
• Fine-tune pre-trained LLMs (e.g., GPT, Llama, Mistral) using telecom-specific datasets to improve task accuracy and relevance.
• Design and implement prompt engineering frameworks, optimize prompt construction and context strategies for telco-specific queries and processes.
• Develop Retrieval-Augmented Generation (RAG) pipelines integrated with vector databases (e.g., FAISS, Pinecone) to enhance LLM performance on internal knowledge.
• Build multi-agent LLM pipelines using orchestration tools (LangChain, LlamaIndex) to support complex telecom workflows.
• Collaborate cross-functionally with data engineers, product teams, and domain experts to translate telecom business logic into GenAI workflows.
• Conduct systematic model evaluation focused on minimizing hallucinations, improving domain-specific accuracy, and tracking performance improvements on business KPIs.
• Contribute to the development of internal reusable GenAI modules, coding standards, and best practices documentation.

Desired Profile

• Familiarity with multi-modal LLMs (text + tabular/time-series).
• Experience with OpenAI function calling, LangGraph, or agent-based orchestration.
• Exposure to telecom datasets (e.g., call records, customer tickets, network logs).
• Experience with low-latency inference optimization (e.g., quantization, distillation).

Technical skills

• Hands-on experience in fine-tuning transformer models, prompt engineering, and RAG architecture design.
• Experience delivering production-ready AI solutions in enterprise environments; telecom exposure is a plus.
• Advanced knowledge of transformer architectures, fine-tuning techniques (LoRA, PEFT, adapters), and transfer learning.
• Proficiency in Python, with significant experience using PyTorch, Hugging Face Transformers, and related NLP libraries.
• Practical expertise in prompt engineering, RAG pipelines, and LLM orchestration tools (LangChain, LlamaIndex).
• Ability to build domain-adapted LLMs, from data preparation to final model deployment.

Work Experience

7+ years of professional experience in AI/ML, with at least 2+ years of practical exposure to LLMs or GenAI deployments.

Educational Qualification

• Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a related field.
• Ph.D. preferred for foundational model work and advanced research focus.

We're looking for an experienced Full-Stack Engineer who can architect and build AI-powered agent systems from the ground up. You'll work across the entire stack—from designing scalable backend services and LLM orchestration pipelines to creating frontend interfaces for agent interactions through widgets, bots, plugins, and browser extensions.

You should be fluent in modern backend technologies, AI/LLM integration patterns, and frontend development, with strong systems design thinking and the ability to navigate the complexities of building reliable AI applications.

Note: This is an on-site, 6-day-a-week role. We are in a critical product development phase where sthe peed of iteration directly determines market success. At this early stage, speed of execution and clarity of thought are our strongest moats, and we are doubling down on both as we build through our 0→1 journey.

WHAT YOU BRING:

You take ownership of complex technical challenges end to end, from system architecture to deployment, and thrive in a lean team where every person is a builder. You maintain a strong bias for action, moving quickly to prototype and validate AI agent capabilities while building production-grade systems. You consistently deliver reliable, scalable solutions that leverage AI effectively — whether it's designing robust prompt chains, implementing RAG systems, building conversational interfaces, or creating seamless browser extensions.

You earn trust through technical depth, reliable execution, and the ability to bridge AI capabilities with practical business needs. Above all, you are obsessed with building intelligent systems that actually work. You think deeply about system reliability, performance, cost optimization, and you're motivated by creating AI experiences that deliver real value to our enterprise customers.

WHAT YOU WILL DO:

Your primary responsibility (95% of your time) will be designing and building AI agent systems across the full stack. Specifically, you will:

• Architect and implement scalable backend services for AI agent orchestration, including LLM integration, prompt management, context handling, and conversation state management.
• Design and build robust AI pipelines — implementing RAG systems, agent workflows, tool calling, and chain-of-thought reasoning patterns.
• Develop frontend interfaces for AI interactions including embeddable widgets, Chrome extensions, chat interfaces, and integration plugins for third-party platforms.
• Optimize LLM operations — managing token usage, implementing caching strategies, handling rate limits, and building evaluation frameworks for agent performance.
• Build observability and monitoring systems for AI agents, including prompt versioning, conversation analytics, and quality assurance pipelines.
• Collaborate on system design decisions around AI infrastructure, model selection, vector databases, and real-time agent capabilities.
• Stay current with AI/LLM developments and pragmatically adopt new techniques (function calling, multi-agent systems, advanced prompting strategies) where they add value.

BASIC QUALIFICATIONS:

• 4–6 years of full-stack development experience, with at least 1 year working with LLMs and AI systems.
• Strong backend engineering skills: proficiency in Node.js, Python, or similar; experience with API design, database systems, and distributed architectures.
• Hands-on AI/LLM experience: prompt engineering, working with OpenAI/Anthropic/Google APIs, implementing RAG, managing context windows, and optimizing for latency/cost.
• Frontend development capabilities: JavaScript/TypeScript, React or Vue, browser extension development, and building embeddable widgets.
• Systems design thinking: ability to architect scalable, fault-tolerant systems that handle the unique challenges of AI applications (non-determinism, latency, cost).
• Experience with AI operations: prompt versioning, A/B testing for prompts, monitoring agent behavior, and implementing guardrails.
• Understanding of vector databases, embedding models, and semantic search implementations.
• Comfortable working in fast-moving, startup-style environments with high ownership.

PREFERRED QUALIFICATIONS:

• Experience with advanced LLM techniques: fine-tuning, function calling, agent frameworks (LangChain, LlamaIndex, AutoGPT patterns).
• Familiarity with ML ops tools and practices for production AI systems.
• Prior work on conversational AI, chatbots, or virtual assistants at scale.
• Experience with real-time systems, WebSockets, and streaming responses.
• Knowledge of browser automation, web scraping, or RPA technologies.
• Experience with multi-tenant SaaS architectures and enterprise security requirements.
• Contributions to open-source AI/LLM projects or published work in the field.

WHAT WE OFFER:

• Competitive salary + meaningful equity.
• High ownership and the opportunity to shape product direction.
• Direct impact on cutting-edge AI product development.
• A collaborative team that values clarity, autonomy, and velocity.

Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions.

We are hiring a passionate and highly experienced Senior Product Designer to join our driven team. In this role, you will be pivotal in shaping products that unlock tangible value for our consumers. You will report into a Design Lead and will support and lead design initiatives as well as work in cross-functional teams from product, data, CRO, and publishing. If you are excited about shaping the future of digital publishing, and building products that help millions of people make complex decisions confidently - this role is for you.

Responsibilities:

• End-to-End Design Ownership: Oversee the complete design lifecycle for multiple, sometimes overlapping, product features from research and concept ideation to high-fidelity prototyping and final handoff. You will also produce detailed documentation (annotated mockups, style guides) for smooth development handoffs and coordinate with QA post-launch to gather user feedback and continuously refine the user experience.
• AI-friendly Design System Development: Contribute to the evolution of our design system from our current experience into an AI-first experience, creating scalable patterns, tokens, and workflows that can be prompted or extended by other designers.
• Front End Implementation: Understand design work into front-end components using React, Tailwind CSS, or rapid prototyping tools such as Bolt, Lovable in a consistent way and partner with engineers to align design intent and technical feasibility, ensuring solutions are both elegant and efficient to implement.
• Advanced Prototyping & Interaction: Develop interactive prototypes showcasing intricate user flows, micro-interactions, and motion elements that clarify and enhance the user experience.
• Team Mentorship: Provide guidance to junior and mid-level designers, facilitate design critiques, and foster a culture of feedback and continuous learning.
• Cross-Functional Collaboration: Cross-disciplinary skill sharing by organizing workshops or pairing sessions with engineering, experimentation teams, and product managers to broaden the team’s perspective.
• Documentation & Standards: Maintain system documentation covering tokens, component behaviors, accessibility, and brand alignment.
• Design System Governance: Champion design consistency and scalability while enabling experimentation and localization across products.
• AI Design Enablement: Explore how AI tools and generative workflows can accelerate design exploration and empower other designers to create faster and smarter.

Qualifications:

• At 5-8 years of experience in a Product Design or UI/UX Design role with an emphasis on mobile-first, web-based, proactive conversion optimization and feature development.
• Should have experience with the basics of frontend engineering frameworks, React, CSS, and pushing code to production.
• You care fiercely about crafting meaningful, impactful user experiences and continuously level up your craft.
• Remote-first experience - at least one-two years thriving in a fully distributed team - strong asynchronous communication habits and tooling fluency.
• Your work is grounded in ideation, well tested, and fundamentally driven by data. Analyze both qualitative and quantitative data (e.g., heatmaps, user funnels, user feedback, usage metrics) to refine product features and validate design hypotheses. Familiarity with Google Analytics, Microsoft Clarity is a plus.
• Conduct or oversee in-depth usability tests, user interviews, and other research activities, synthesizing findings into actionable design improvements.
• Experienced in structuring information and user journeys across diverse platforms (web, mobile), balancing aesthetics with usability.
• Deep familiarity with maintaining and evolving large-scale component libraries, ensuring brand consistency and accessibility.
• Ability to craft detailed animations and transitions that enhance user comprehension and delight in moderately complex workflows.
• Comfortable iterating quickly in a fast-paced environment; you distill clarity and direction from open-ended problems.
• You bring people together—articulate vision, build alignment, and foster cross-team collaboration through inspiring narrative.

Must haves:

• Minimum of 5 - 8 years experience in a product design/UI/UX capacity
• Portfolio of at least 3-4 projects with clear design rationale and execution
• Timezone: IST, with flexibility to overlap for 2-3 hours with U.S. (EST) timezone
• Solid grasp of Figma

Nice to haves:

• Aptitude for AI-based workflows
• Experience with conversion optimization and feature development
• Experience with Google Analytics

Perks:

• Day off on the 3rd Friday of every month (one long weekend each month)
• Monthly Wellness Reimbursement Program to promote health well-being
• Monthly Office Commutation Reimbursement Program
• Paid paternity and maternity leaves

What You’ll Do

• Build and enhance real-time voice agents for sales, support, and operations use cases
• Work with ASR, TTS, LLMs, and dialog orchestration frameworks to improve voice quality and response accuracy
• Integrate multiple providers (Deepgram, Sarvam, ElevenLabs, OpenAI) into a modular voice pipeline
• Reduce latency, improve interrupt handling, and make conversations more natural
• Own the agent evaluation process: call audits, response quality scoring, and accuracy improvements
• Collaborate with product teams and customers to understand real call behaviours and solve friction points
• Contribute to voice infrastructure: WebRTC, streaming sockets, call routing flows

⚙️ What You Bring

• 3–6 years of experience as an AI/ML/LLM Engineer working on voice or conversational systems
• Strong hands-on experience with LLM prompting, finetuning, embeddings, and RAG
• Solid understanding of STT and TTS models and tuning them for natural speech
• Proficiency in Python and Node.js
• Experience with real-time audio streaming (WebRTC, WebSockets) is a strong advantage
• Ability to debug live calls and rapidly improve agent behaviour
• Strong sense of ownership and willingness to iterate closely with users

🏆 What Success Looks Like

• Voice agents handle interruptions smoothly and sound natural
• Call success and customer completion rates increase month over month
• Latency, token usage, and infra costs are reduced through better engineering and smart model choices
• Customers begin trusting agents as teammates, not just tools

If You Are Someone Who:

✅ Builds fast and learns faster

✅ Cares deeply about product experience, not just model performance

✅ Wants to create the future of how businesses talk to customers

We are looking for an 4-5 years of experienced AI/ML Engineer who can design, develop, and deploy scalable machine learning models and AI-driven solutions. The ideal candidate should have strong expertise in data processing, model building, and production deployment, along with solid programming and problem-solving skills.

Key Responsibilities

• Develop and deploy machine learning, deep learning, and NLP models for various business use cases.
• Build end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and production deployment.
• Optimize model performance and ensure scalability in production environments.
• Work closely with data scientists, product teams, and engineers to translate business requirements into AI solutions.
• Conduct data analysis to identify trends and insights.
• Implement MLOps practices for versioning, monitoring, and automating ML workflows.
• Research and evaluate new AI/ML techniques, tools, and frameworks.
• Document system architecture, model design, and development processes.

Required Skills

• Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).
• Hands-on experience in building and deploying ML/DL models in production.
• Good understanding of machine learning algorithms, neural networks, NLP, and computer vision.
• Experience with REST APIs, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
• Working knowledge of MLOps tools such as MLflow, Airflow, DVC, or Kubeflow.
• Familiarity with data pipelines and big data technologies (Spark, Hadoop) is a plus.
• Strong analytical skills and ability to work with large datasets.
• Excellent communication and problem-solving abilities.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or related fields.
• Experience in deploying models using cloud services (AWS Sagemaker, GCP Vertex AI, etc.).
• Experience in LLM fine-tuning or generative AI is an added advantage.

Role Description

• Develop the tech stack of Pieworks to achieve the fly-wheel in the most efficient manner
• Focus on standardising the code, making it more modular to enable quick updations
• Integaring with various APIs to provide seamless solution to all stakeholders
• Build a robust node based information tracking & flow to capitalize on degrees of separation between members, candidates
• Bring in new design ideas to make the UI stunning and UX functional i.e one click actionable, as much as possible

 Mandatory Criteria

1. Ability to code in Java
2. Ability to Scale on AWS
3. Product Thinking
4. Passion for Automation

If interested kindly share your updated resume at 82008 31681

Key Responsibilities

• Oversee the end-to-end execution of web and mobile app development projects.
• Manage project scope, schedule, and delivery — ensuring milestones are achieved within deadlines and budgets.
• Coordinate between clients, developers, designers, and QA teams to ensure clarity and smooth communication.
• Define project requirements, sprint plans, and resource allocation using Agile or Scrum methodologies.
• Conduct regular status meetings, performance tracking, and progress reporting.
• Identify project risks, dependencies, and blockers, and develop proactive solutions.
• Maintain high levels of client satisfaction through transparency and consistent project updates.
• Collaborate with leadership to enhance project processes and overall delivery efficiency.

Required Skills & Experience

3–8 years of experience in project management within a software or digital agency environment.

Strong understanding of web and mobile app development life cycles.

Experience with Agile, Scrum, or Kanban methodologies.

Familiarity with project management tools like Jira, Trello, ClickUp, or Asana.

Excellent communication, leadership, and stakeholder management skills.

Ability to translate technical concepts into business-friendly language.

Knowledge of frontend (React, Next.js), backend (Node.js, Django), or mobile (Flutter, React Native) technologies is a plus.

Proven ability to handle multiple projects simultaneously with attention to detail and deadlines.

Preferred Qualifications

PMP, PRINCE2, or Agile certification preferred but not mandatory.

Prior experience managing offshore or remote teams.

Exposure to SaaS, AI-powered, or enterprise software projects.

Our client is looking for a CTO / Founding Engineer to join their early-stage product company.

• Ideally, you have 2–6 years of experience as a full-stack engineer and hands-on expertise in AI, with a proven track record of building and shipping end-to-end products that people love.

• You’ve likely built or scaled consumer-facing, viral products — the kind that take off because they just click with users.

• You are fluent across the stack (frontend, backend, APIs, and deployment), comfortable working with LLMs or AI APIs, and excited to build from zero to one.

Key Skills & Technologies:

• Frontend: React, Next.js, TypeScript, TailwindCSS
• Backend: Node.js, Python (FastAPI / Django / Flask), Go
• Databases: PostgreSQL, MongoDB, Redis
• AI / ML: OpenAI API, LangChain, Pinecone, Hugging Face, vector databases
• DevOps & Deployment: AWS / GCP / Azure, Docker, Kubernetes, CI/CD
• Other: System design, API architecture, scalability, product intuition

This is a ground-floor opportunity to own product and technology decisions, shape the company’s direction, and help scale something game-changing from scratch.

About the Role:

We are building cutting-edge AI products designed for enterprise-scale applications and arelooking for a Senior Python Developer to join our core engineering team. You will beresponsible for designing and delivering robust, scalable backend systems that power ouradvanced AI solutions.

Key Responsibilities:

• Design, develop, and maintain scalable Python-based backend applications and services.
• Collaborate with AI/ML teams to integrate machine learning models into production environments.
• Optimize applications for performance, reliability, and security.
• Write clean, maintainable, and testable code following best practices.
• Work with cross-functional teams including Data Science, DevOps, and UI/UX to ensure seamless delivery.
• Participate in code reviews, architecture discussions, and technical decision-making.
• Troubleshoot, debug, and upgrade existing systems.

Required Skills & Experience:

• Minimum 5 years of professional Python development experience.
• Strong expertise in Django / Flask / FastAPI.
• Hands-on experience with REST APIs, microservices, and event-driven architecture.
• Solid understanding of databases (PostgreSQL, MySQL, MongoDB, Redis).
• Familiarity with cloud platforms (AWS / Azure / GCP) and CI/CD pipelines.
• Experience with AI/ML pipeline integration is a strong plus.
• Strong problem-solving and debugging skills.
• Excellent communication skills and ability to work in a collaborative environment.

Good to Have:

• Experience with Docker, Kubernetes.
• Exposure to message brokers (RabbitMQ, Kafka).
• Knowledge of data engineering tools (Airflow, Spark).
• Familiarity with Neo4j or other graph databases.

About Us: The Next Generation of WealthTech  

We're Cambridge Wealth, an award-winning force in mutual fund distribution and Fintech. We're not just moving money; we're redefining wealth management for everyone from retail investors to ultra-HNIs (including the NRI segment). Our brand is synonymous with excellence, backed by accolades from the BSE and top Mutual Fund houses.

If you thrive on building high-performance, scalable systems that drive real-world financial impact, you'll feel right at home. Join us in Pune to build the future of finance.

[Learn more: www.cambridgewealth.in]

The Role: Engineering Meets Team Meets Customer

We're looking for an experienced, hands-on Tech Catalyst to accelerate our product innovation. This isn't just a coding job; it's a chance to blend deep backend expertise with product strategy. You will be the engine driving rapid, data-driven product experiments, leveraging AI and Machine Learning to create smart, personalized financial solutions. You'll lead by example, mentoring a small, dedicated team and ensuring technical excellence and rapid deployment in the high-stakes financial domain.

Key Impact Areas: Ship Fast, Break Ground  

1. Backend & AI/ML Innovation  

• Rapid Prototyping: Design and execute quick, iterative experiments to validate new features and market hypotheses, moving from concept to production in days, not months.
• AI-Powered Features: Build scalable Python-based backend services that integrate AI/ML models to enhance customer profiling, portfolio recommendation, and risk analysis.
• System Architecture: Own the performance, stability, and scalability of our core fintech platform, implementing best practices in modern backend development.

2. Product Leadership & Execution  

• Agile Catalyst: Drive and optimize Agile sprints, ensuring clear technical milestones, efficient resource allocation, backlog grooming and maintaining a laser focus on preventing scope creep.
• Mentorship & Management: Provide technical guidance and mentorship to a team of developers, fostering a culture of high performance, code quality, and continuous learning.
• Domain Alignment: Translate complex financial requirements and market insights into precise, actionable technical specifications and seamless user stories.
• Problem Solver: Proactively identify and resolve technical and process bottlenecks, acting as the ultimate problem solver for the engineering and product teams.

3. Financial Domain Expertise  

• High-Value Delivery: Apply deep knowledge of the mutual fund and broader fintech landscape to inform product decisions, ensuring our solutions are compliant, competitive, and truly valuable to our clients.
• Risk & Security: Proactively architect solutions with security and financial risk management baked in from the ground up, protecting client data and assets.

Your Tech Stack & Experience  

The Must-Haves  

• Mindset: A verifiable track record as a proactive First Principle Problem Solver with an intense Passion to Ship production-ready features frequently.
• Customer Empathy: Keeps the customer's experience in mind at all times.
• Team Leadership: Experience in leading, mentoring, or managing a small development team, driving technical excellence and project delivery.
• Systems Thinker: Diagnoses and solves problems by viewing the organization as an interconnected system to anticipate broad impacts and develop holistic, strategic solutions.
• Backend Powerhouse: 2+ years of professional experience with a strong focus on backend development.
• Python Guru: Expert proficiency in Python and related frameworks (e.g., Django, Flask) for building robust, scalable APIs and services.
• AI/ML Integration: Proven ability to leverage and integrate AI/ML models into production-level applications.
• Data Driven: Expert in SQL for complex data querying, analysis, and ETL processes.
• Financial Domain Acumen:Strong, demonstrable knowledge of financial products, especially mutual funds, wealth management, and key fintech metrics.

Nice-to-Haves  

• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Familiarity with Zoho Analytics, Zoho CRM and Zoho Deluge
• Familiarity with modern data analysis tools and visualization platforms (e.g., Mixpanel, Tableau, or custom dashboard tools).
• Understanding of Mutual Fund, AIF, PMS operations

Ready to Own the Backend and Shape Finance?  

This is where your code meets the capital market. If you’re a Fintech-savvy Python expert ready to lead a team and build a scalable platform in Pune, we want to talk.

Apply now to join our award-winning, forward-thinking team.

Our High-Velocity Hiring Process:  

• You Apply & Engage: Quick application and a few insightful questions. (5 min)
• Online Tech Challenge: Prove your tech mettle. (90 min)
• People Sync: A focused call to understand if there is cultural and value alignment. (30 min)
• Deep Dive Technical Interview: Discuss architecture and projects with our senior engineers. (1 hour)
• Founder's Vision Interview: Meet the leadership and discuss your impact. (1 hour)
• Offer & Onboarding: Reference and BGV check follow the successful offer.

What are you building right now that you're most proud of?

Job Title: AI Engineer

Location: Bengaluru 

Experience: 3 Years 

Working Days: 5 Days

About the Role

We’re reimagining how enterprises interact with documents and workflows—starting with BFSI and healthcare. Our AI-first platforms are transforming credit decisioning, document intelligence, and underwriting at scale. The focus is on Intelligent Document Processing (IDP), GenAI-powered analysis, and human-in-the-loop (HITL) automation to accelerate outcomes across lending, insurance, and compliance workflows.

As an AI Engineer, you’ll be part of a high-caliber engineering team building next-gen AI systems that:

• Power robust APIs and platforms used by underwriters, credit analysts, and financial institutions.
• Build and integrate GenAI agents.
• Enable “human-in-the-loop” workflows for high-assurance decisions in real-world conditions.

Key Responsibilities

• Build and optimize ML/DL models for document understanding, classification, and summarization.
• Apply LLMs and RAG techniques for validation, search, and question-answering tasks.
• Design and maintain data pipelines for structured and unstructured inputs (PDFs, OCR text, JSON, etc.).
• Package and deploy models as REST APIs or microservices in production environments.
• Collaborate with engineering teams to integrate models into existing products and workflows.
• Continuously monitor and retrain models to ensure reliability and performance.
• Stay updated on emerging AI frameworks, architectures, and open-source tools; propose improvements to internal systems.

Required Skills & Experience

• 2–5 years of hands-on experience in AI/ML model development, fine-tuning, and building ML solutions.
• Strong Python proficiency with libraries such as NumPy, Pandas, scikit-learn, PyTorch, or TensorFlow.
• Solid understanding of transformers, embeddings, and NLP pipelines.
• Experience working with LLMs (OpenAI, Claude, Gemini, etc.) and frameworks like LangChain.
• Exposure to OCR, document parsing, and unstructured text analytics.
• Familiarity with model serving, APIs, and microservice architectures (FastAPI, Flask).
• Working knowledge of Docker, cloud environments (AWS/GCP/Azure), and CI/CD pipelines.
• Strong grasp of data preprocessing, evaluation metrics, and model validation workflows.
• Excellent problem-solving ability, structured thinking, and clean, production-ready coding practices.

IMP: Please read through before applying!

Nature of role: Full-time; On-site

Location: Thiruvanmiyur, Chennai

Responsibilities:

Build and manage automation workflows using n8n, Make (Integromat), Zapier, or custom APIs.

Integrate tools across JugaadX, WhatsApp, Shopify, Meta, Google Workspace, CRMs, and internal systems.

Develop and maintain scalable, modular automation systems with clear documentation.

Integrate and experiment with AI tools and APIs such as OpenAI, Gemini, Claude, HeyGen, Runway, etc.

Create intelligent workflows — from chatbots and lead scorers to content generators and auto-responders.

Manage cloud infrastructure (VPS, Docker, SSL, security) for automations and dashboards.

Identify repetitive tasks and convert them into reliable automated processes.

Build centralized dashboards and automated reports for teams and clients.

Stay up-to-date with the latest in AI, automation, and LLM technologies, and bring new ideas to life within Jugaad’s ecosystem.

Requirements:

Hands-on experience with n8n, Make, or Zapier (or similar tools).

Familiarity with OpenAI, Gemini, HuggingFace, ElevenLabs, HeyGen, and other AI platforms.

Working knowledge of JavaScript and basic Python for API scripting.

Strong understanding of REST APIs, webhooks, and authentication.

Experience with Docker, VPS (AWS/DigitalOcean), and server management.

Proficiency with Google Sheets, Airtable, JSON, and basic SQL.

Clear communication and documentation skills — able to explain technical systems simply.

Who You Are:

A self-starter who loves automation, optimization, and innovation.

Comfortable building end-to-end tech solutions independently.

Excited to collaborate across creative, marketing, and tech teams.

Always experimenting with new AI tools and smarter ways to work.

Obsessed with efficiency, scalability, and impact — you love saving time and getting more done with less.

What You Get:

A strategic and hands-on role at the intersection of AI, automation, and operations.

The chance to shape the tech backbone of Jugaad and influence how we work, scale, and innovate.

Freedom to experiment, build, and deploy your ideas fast.

A young, fast-moving team where your work directly drives impact and growth.

About Vomyra:

We build Voice AI agents that answer business calls 24×7 for restaurants, hotels, spas, education centres, and service businesses. No more missed calls → higher revenue → better customer experience.

Role Overview:

You will own the full sales cycle: prospecting → demo → trial → closure. You’ll directly work with the founder, sell to SMB/MSME owners, and help them adopt Voice AI.

What you’ll do

Generate qualified leads through LinkedIn, WhatsApp outreach, and cold calling

Run product demos and explain value clearly to business owners

Convert trials to paid plans

Manage a predictable pipeline and follow-up rigor

Hit weekly KPIs (demos, trials, conversions)

Maintain CRM hygiene and report performance

Gather market insights, objections, and help improve messaging

Must-haves

2–5 years of SaaS / Cloud / IVR / Telephony sales

Strong communication in English + Hindi

Experience selling to SMEs/MSMEs (restaurants/hotels/spas = bonus)

High activity mindset: outreach, follow-up, hustle

Comfort with demos, objections, pricing conversations

Proven consistency in hitting targets

Good-to-haves

Experience with Exotel, MyOperator, Ozonetel, Airtel Tata Reliance Jio

Exposure to GenAI or Voice AI products

Startup or zero-to-one environment experience

Ability to work in fast cycles with direct founder access

What we offer

Competitive base + aggressive incentives

Fast growth: work directly with founder, own accounts

Flexible remote-friendly culture

Opportunity to be early in a rapidly growing Voice AI category

Location

Remote / Delhi-NCR preferred

Role Overview

We are looking for a highly skilled and intellectually curious Senior Data Scientist with 7+ years of experience in applying advanced machine learning and AI techniques to solve complex business problems. The ideal candidate will have deep expertise in Classical Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI (GenAI), along with strong hands-on coding skills and a proven track record of delivering impactful data science solutions. This role requires a blend of technical excellence, business acumen, and collaborative mindset.

Key Responsibilities

• Design, develop, and deploy ML models using classical algorithms (e.g., regression, decision trees, ensemble methods) and deep learning architectures (CNNs, RNNs, Transformers).
• Build NLP solutions for tasks such as text classification, entity recognition, summarization, and conversational AI.
• Develop and fine-tune GenAI models for use cases like content generation, code synthesis, and personalization.
• Architect and implement Retrieval-Augmented Generation (RAG) systems for enhanced contextual AI applications.
• Collaborate with data engineers to build scalable data pipelines and feature stores.
• Perform advanced feature engineering and selection to improve model accuracy and robustness.
• Work with large-scale structured and unstructured datasets using distributed computing frameworks.
• Translate business problems into data science solutions and communicate findings to stakeholders.
• Present insights and recommendations through compelling storytelling and visualization.
• Mentor junior data scientists and contribute to internal knowledge sharing and innovation.

Required Qualifications

• 7+ years of experience in data science, machine learning, and AI.
• Strong academic background in Computer Science, Statistics, Mathematics, or related field (Master’s or PhD preferred).
• Proficiency in Python, SQL, and ML libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face).
• Experience with NLP and GenAI tools (e.g., Azure AI Foundry, Azure AI studio, GPT, LLaMA, LangChain).
• Hands-on experience with Retrieval-Augmented Generation (RAG) systems and vector databases.
• Familiarity with cloud platforms (Azure preferred, AWS/GCP acceptable) and MLOps tools (MLflow, Airflow, Kubeflow).
• Solid understanding of data structures, algorithms, and software engineering principles.
• Experience with Aure, Azure Copilot Studio, Azure Cognitive Services
• Experience with Azure AI Foundry would be a strong added advantage

Preferred Skills

• Exposure to LLM fine-tuning, prompt engineering, and GenAI safety frameworks.
• Experience in domains such as finance, healthcare, retail, or enterprise SaaS.
• Contributions to open-source projects, publications, or patents in AI/ML.

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder engagement abilities.
• Ability to work independently and collaboratively in cross-functional teams.
• Passion for continuous learning and innovation.

Are you a motivated individual eager to launch your career in generative AI and learn advanced technologies? Are you a hands-on learner with an interest in large language models and emerging AI technologies? Do you possess the ability to collaborate effectively within a team environment to implement and learn technical solutions?

At Aivar, we're looking for entry-level architects and engineers to learn generative AI techniques and contribute to building innovative solutions under the guidance of experienced professionals.

As an Generative AI/ML Engineer, you'll learn from technology and business teams while developing solutions. You will gain hands-on experience in a fast-paced environment that contributes to innovative AI projects.

Key job responsibilities:

● Learn to implement large language model solutions using Amazon Web Services (AWS)

● Learn Generative AI frameworks (LangChain, LangSmith, HuggingFace)

● Support prompt engineering implementation

● Assist in fine-tuning pipelines for specific use cases

● Learn to build basic generative AI solutions for text and images

● Help implement RAG architectures

● Support MLOps/LLMOps practices

● Document implementations and learnings

● Assist in testing generative AI solutions

We are building an AI-powered chatbot platform and looking for an AI/ML Engineer with strong backend skills as our first technical hire. You will be responsible for developing the core chatbot engine using LLMs, creating backend APIs, and building scalable RAG pipelines.

You should be comfortable working independently, shipping fast, and turning ideas into real product features. This role is ideal for someone who loves building with modern AI tools and wants to be part of a fast-growing product from day one.

Responsibilities

• Build the core AI chatbot engine using LLMs (OpenAI, Claude, Gemini, Llama etc.)

• Develop backend services and APIs using Python (FastAPI/Flask)

• Create RAG pipelines using vector databases (Pinecone, FAISS, Chroma)

• Implement embeddings, prompt flows, and conversation logic

• Integrate chatbot with web apps, WhatsApp, CRMs and 3rd-party APIs

• Ensure system reliability, performance, and scalability

• Work directly with the founder in shaping the product and roadmap

Requirements

• Strong experience with LLMs & Generative AI

• Excellent Python skills with FastAPI/Flask

• Hands-on experience with LangChain or RAG architectures

• Vector database experience (Pinecone/FAISS/Chroma)

• Strong understanding of REST APIs and backend development

• Ability to work independently, experiment fast, and deliver clean code

Nice to Have

• Experience with cloud (AWS/GCP)

• Node.js knowledge

• LangGraph, LlamaIndex

• MLOps or deployment experience

About Us : Signal Expert Global LLP is a Multi-National Company & involved in the business of providing Technical Analysis Research services in the Forex & Comex Global Market Since 2016. We provide learning and trading assistance about Forex and Comex segments. Also, Educate in Technical Analysis, identification of market Lots, pricing, possible entry points, barriers to entry, and the prevailing trends of the Forex and Comex market. Signal Expert Global LLP is a Member of the International Trade Council and Follows Foreign Inward Remittance Certificate (FIRC) Norms as per Foreign Exchange Management Act (FEMA) Guidelines.

Job Profile - App Developer / Full Time / Permanent / On-site

Package - upto 4.20 LPA

Experience - 1-3 years

Key Responsibilities:

• Independently develop, maintain, and update mobile applications (Android/iOS) as per company requirements.
• Implement new features, fix bugs, and optimize app performance for a seamless user experience.
• Customize and modify the app according to business needs and changing requirements.
• Ensure code quality, security, and scalability of the applications.
• Monitor app performance, troubleshoot issues, and provide timely solutions.
• Develop applications using AI-based platforms and tools, including Shopify apps, to enhance business operations.

Qualifications:

• Minimum Graduate or Post Graduate.
• Proven experience in app development (mobile/web) for Android, iOS, or cross-platform frameworks (Flutter, React Native).
• Ability to work independently and take full ownership of development projects.
• Strong problem-solving and analytical skills.
• Knowledge of API integration, app deployment, and version control (Git).
• Familiarity with AI-powered app development platforms (e.g., Shopify, automation tools).

Why Join Us :

• International market exposure
• Opportunities for growth and development
• International travel contests

About Us : Signal Expert Global LLP is a Multi-National Company & involved in the business of providing Technical Analysis Research services in the Forex & Comex Global Market Since 2016. We provide learning and trading assistance about Forex and Comex segments. Also, Educate in Technical Analysis, identification of market Lots, pricing, possible entry points, barriers to entry, and the prevailing trends of the Forex and Comex market. Signal Expert Global LLP is a Member of the International Trade Council and Follows Foreign Inward Remittance Certificate (FIRC) Norms as per Foreign Exchange Management Act (FEMA) Guidelines.

Job Profile - App Developer / Full Time / Permanent / On-site

Package - upto 4.20 LPA

Experience - 1-3 years

Key Responsibilities:

• Independently develop, maintain, and update mobile applications (Android/iOS) as per company requirements.
• Implement new features, fix bugs, and optimize app performance for a seamless user experience.
• Customize and modify the app according to business needs and changing requirements.
• Ensure code quality, security, and scalability of the applications.
• Monitor app performance, troubleshoot issues, and provide timely solutions.
• Develop applications using AI-based platforms and tools, including Shopify apps, to enhance business operations.

Qualifications:

• Minimum Graduate or Post Graduate.
• Proven experience in app development (mobile/web) for Android, iOS, or cross-platform frameworks (Flutter, React Native).
• Ability to work independently and take full ownership of development projects.
• Strong problem-solving and analytical skills.
• Knowledge of API integration, app deployment, and version control (Git).
• Familiarity with AI-powered app development platforms (e.g., Shopify, automation tools).

Why Join Us :

• International market exposure
• Opportunities for growth and development
• International travel contests

Full Stack Engineer

Position Description

Responsibilities

• Take design mockups provided by UX/UI designers and translate them into web pages or applications using HTML and CSS. Ensure that the design is faithfully replicated in the final product.

• Develop enabling frameworks and application E2E and enhance with data analytics and AI enablement

• Ensure effective Design, Development, Validation and Support activities in line with the Customer needs, architectural requirements, and ABB Standards.

• Support ABB business units through consulting engagements.

• Develop and implement machine learning models to solve specific business problems, such as predictive analytics, classification, and recommendation systems

• Perform exploratory data analysis, clean and preprocess data, and identify trends and patterns.

• Evaluate the performance of machine learning models and fine-tune them for optimal results.

• Create informative and visually appealing data visualizations to communicate findings and insights to non-technical stakeholders.

• Conduct statistical analysis, hypothesis testing, and A/B testing to support decision-making processes.

• Define the solution, Project plan, identifying and allocation of team members, project tracking; Work with data engineers to integrate, transform, and store data from various sources.

• Collaborate with cross-functional teams, including business analysts, data engineers, and domain experts, to understand business objectives and develop data science solutions.

• Prepare clear and concise reports and documentation to communicate results and methodologies.

• Stay updated with the latest data science and machine learning trends and techniques.

• Familiarity with ML Model Deployment as REST APIs.

Background

• Engineering graduate / Masters degree with rich exposure to Data science, from a reputed institution

• Create responsive web designs that adapt to different screen sizes and devices using media queries and responsive design techniques.

• Write and maintain JavaScript code to add interactivity and dynamic functionality to web pages. This may include user input handling, form validation, and basic animations.

• Familiarity with front-end JavaScript libraries and frameworks such as React, Angular, or Vue.js. Depending on the projects, you may be responsible for working within these frameworks

• Atleast 6+ years experience in AI ML concepts, Python (preferred), prefer knowledge in deep learning frameworks like PyTorch and TensorFlow

• Domain knowledge of Manufacturing/ process Industries, Physics and first principle based analysis

• Analytical thinking for translating data into meaningful insight and could be consumed by ML Model for Training and Prediction.

• Should be able to deploy Model using Cloud services like Azure Databricks or Azure ML Studio. Familiarity with technologies like Docker, Kubernetes and MLflow is good to have.

• Agile development of customer centric prototypes or ‘Proof of Concepts’ for focused digital solutions

• Good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.

We’re partnering with a fast-growing AI-first enterprise transforming how organizations handle documents, decisioning, and workflows — starting with BFSI and healthcare. Their platforms are redefining document intelligence, credit analysis, and underwriting automation using cutting-edge AI and human-in-the-loop systems.

As an AI Engineer, you’ll work with a high-caliber engineering team building next-gen AI systems that:

• Power robust APIs and platforms used by underwriters, analysts, and financial institutions.
• Build and integrate GenAI-powered agents.
• Enable “human-in-the-loop” workflows for high-assurance decisions in real-world conditions.

Key Responsibilities

• Build and optimize ML/DL models for document understanding, classification, and summarization.
• Apply LLMs and RAG techniques for validation, search, and question-answering tasks.
• Design and maintain data pipelines for structured and unstructured inputs (PDFs, OCR text, JSON, etc.).
• Package and deploy models as REST APIs or microservices in production environments.
• Collaborate with engineering teams to integrate models into existing products and workflows.
• Monitor, retrain, and fine-tune models to ensure reliability and performance.
• Stay updated on emerging AI frameworks, architectures, and open-source tools; propose system improvements.

Required Skills & Experience

• 2–5 years of hands-on experience in AI/ML model development, fine-tuning, and deployment.
• Strong Python proficiency (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow).
• Solid understanding of transformers, embeddings, and NLP pipelines.
• Experience with LLMs (OpenAI, Claude, Gemini, etc.) and frameworks like LangChain.
• Exposure to OCR, document parsing, and unstructured text analytics.
• Familiarity with FastAPI/Flask, Docker, and cloud environments (AWS/GCP/Azure).
• Working knowledge of CI/CD pipelines, model validation, and evaluation workflows.
• Strong problem-solving skills, structured thinking, and production-quality coding practices.

Bonus Skills

• Domain exposure to Fintech/BFSI or Healthcare (e.g., credit underwriting, claims automation, KYC).
• Experience with vector databases (FAISS, Pinecone, Weaviate) and semantic search.
• Knowledge of MLOps tools (MLflow, Airflow, Kubeflow).
• Experience integrating GenAI into SaaS or enterprise products.

Education

• B.Tech / M.Tech / MS in Computer Science, Data Science, or related field.
• (Equivalent hands-on experience will also be considered.)

Why Join

• Build AI systems from prototype to production for live enterprise use.
• Work with a senior AI and product team that values ownership, innovation, and impact.
• Exposure to LLMs, GenAI, and Document AI in large-scale enterprise environments.
• Competitive compensation, career growth, and a flexible work culture.

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

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

We are seeking a curious and analytical AI/ML Data Analyst to join our growing team. This role is the perfect blend of deep data analysis, statistical modeling, and applied machine learning. With 3+ years of hands-on experience, you will be responsible for translating complex business questions into data-driven solutions.

You will work cross-functionally to mine massive datasets, perform exploratory data analysis, build predictive models, and generate actionable insights that drive product strategy, operational efficiency, and business growth. The ideal candidate has a strong statistical foundation and proven experience in applying ML models to real-world business problems.

<strong>Key Responsibilities</strong>

• Exploratory Data Analysis (EDA): Query, clean, and analyze large, complex datasets to identify trends, patterns, and anomalies.
• Predictive Modeling: Develop, train, and evaluate machine learning models (e.g., regression, classification, clustering, time-series forecasting) to solve business problems like customer churn prediction, fraud detection, or sales forecasting.
• Feature Engineering: Identify and create relevant features from raw data to improve model accuracy and performance.
• Data Manipulation: Write efficient and complex SQL queries for data extraction. Use Python (Pandas, NumPy) for advanced data manipulation, cleaning, and preparation.
• Insight Generation & Communication: Translate complex statistical and ML-driven findings into clear, concise, and actionable insights for non-technical stakeholders.
• Visualization: Create compelling dashboards and reports (using tools like Tableau, Power BI, or Python libraries) to communicate model results and analytical insights.
• Model Validation: Continuously monitor and validate model performance in production, suggesting improvements and retraining as needed.
• Collaboration: Partner with data engineers, product managers, and business stakeholders to define project requirements, gather data, and deploy solutions.

We're hiring 2 Sales Executives Interns who know how to sell or are hungry to learn it fast.

If you're confident in conversations, know when to talk and when to pitch - you'll fit right in.

Your role:

• Call potential businesses (we'll provide the leads)
• Pitch our Al product & Services
• Get meetings booked directly with our founder

We work with startups, SMEs, and enterprises whole over the world to help them implement Al in their existing systems or build complete Al products from scratch.

Growth here is immiscible. If we see the spark, you'll grow exponentially move to full-time within 3 months, scale your position, your pay, and your impact fast.

We're not looking for "average salespeople."

If you love talking business, enjoy learning about Al, and can close with confidence this is your space.

DM us or drop your profile if you think you've got the spark. We'll reach out.

Review Criteria

• Strong DevOps /Cloud Engineer Profiles
• Must have 3+ years of experience as a DevOps / Cloud Engineer
• Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)
• Must have strong hands-on experience in Linux administration and system management
• Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
• Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation
• Must be proficient in scripting languages such as Python or Bash for automation
• Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch
• Top tier Product-based company (B2B Enterprise SaaS preferred)

Preferred

• Experience in multi-tenant SaaS infrastructure scaling.
• Exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors.

Role & Responsibilities

We are seeking a DevOps Engineer to design, build, and maintain scalable, secure, and resilient infrastructure for our SaaS platform and AI-driven products. The role will focus on cloud infrastructure, CI/CD pipelines, container orchestration, monitoring, and security automation, enabling rapid and reliable software delivery.

Key Responsibilities:

• Design, implement, and manage cloud-native infrastructure (AWS/Azure/GCP).
• Build and optimize CI/CD pipelines to support rapid release cycles.
• Manage containerization & orchestration (Docker, Kubernetes).
• Own infrastructure-as-code (Terraform, Ansible, CloudFormation).
• Set up and maintain monitoring & alerting frameworks (Prometheus, Grafana, ELK, etc.).
• Drive cloud security automation (IAM, SSL, secrets management).
• Partner with engineering teams to embed DevOps into SDLC.
• Troubleshoot production issues and drive incident response.
• Support multi-tenant SaaS scaling strategies.

Ideal Candidate

• 3–6 years' experience as DevOps/Cloud Engineer in SaaS or enterprise environments.
• Strong expertise in AWS, Azure, or GCP.
• Strong expertise in LINUX Administration.
• Hands-on with Kubernetes, Docker, CI/CD tools (GitHub Actions, GitLab, Jenkins).
• Proficient in Terraform/Ansible/CloudFormation.
• Strong scripting skills (Python, Bash).
• Experience with monitoring stacks (Prometheus, Grafana, ELK, CloudWatch).
• Strong grasp of cloud security best practices.

Job Details

- Job Title: Lead II - Software Engineering- AI, NLP, Python, Data science

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 7-9 years

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Job Description:

Role Proficiency:

Act creatively to develop applications by selecting appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions. Account for others' developmental activities; assisting Project Manager in day-to-day project execution.

Additional Comments:

Mandatory Skills Data Science Skill to Evaluate AI, Gen AI, RAG, Data Science

Experience 8 to 10 Years

Location Bengaluru

Job Description

Job Title AI Engineer Mandatory Skills Artificial Intelligence, Natural Language Processing, python, data science Position AI Engineer – LLM & RAG Specialization Company Name: Sony India Software Centre About the role: We are seeking a highly skilled AI Engineer with 8-10 years of experience to join our innovation-driven team. This role focuses on the design, development, and deployment of advanced enterprise-scale Large Language Models (eLLM) and Retrieval Augmented Generation (RAG) solutions. You will work on end-to-end AI pipelines, from data processing to cloud deployment, delivering impactful solutions that enhance Sony’s products and services. Key Responsibilities: Design, implement, and optimize LLM-powered applications, ensuring high performance and scalability for enterprise use cases. Develop and maintain RAG pipelines, including vector database integration (e.g., Pinecone, Weaviate, FAISS) and embedding model optimization. Deploy, monitor, and maintain AI/ML models in production, ensuring reliability, security, and compliance. Collaborate with product, research, and engineering teams to integrate AI solutions into existing applications and workflows. Research and evaluate the latest LLM and AI advancements, recommending tools and architectures for continuous improvement. Preprocess, clean, and engineer features from large datasets to improve model accuracy and efficiency. Conduct code reviews and enforce AI/ML engineering best practices. Document architecture, pipelines, and results; present findings to both technical and business stakeholders. Job Description: 8-10 years of professional experience in AI/ML engineering, with at least 4+ years in LLM development and deployment. Proven expertise in RAG architectures, vector databases, and embedding models. Strong proficiency in Python; familiarity with Java, R, or other relevant languages is a plus. Experience with AI/ML frameworks (PyTorch, TensorFlow, etc.) and relevant deployment tools. Hands-on experience with cloud-based AI platforms such as AWS SageMaker, AWS Q Business, AWS Bedrock or Azure Machine Learning. Experience in designing, developing, and deploying Agentic AI systems, with a focus on creating autonomous agents that can reason, plan, and execute tasks to achieve specific goals. Understanding of security concepts in AI systems, including vulnerabilities and mitigation strategies. Solid knowledge of data processing, feature engineering, and working with large-scale datasets. Experience in designing and implementing AI-native applications and agentic workflows using the Model Context Protocol (MCP) is nice to have. Strong problem-solving skills, analytical thinking, and attention to detail. Excellent communication skills with the ability to explain complex AI concepts to diverse audiences. Day-to-day responsibilities: Design and deploy AI-driven solutions to address specific security challenges, such as threat detection, vulnerability prioritization, and security automation. Optimize LLM-based models for various security use cases, including chatbot development for security awareness or automated incident response. Implement and manage RAG pipelines for enhanced LLM performance. Integrate AI models with existing security tools, including Endpoint Detection and Response (EDR), Threat and Vulnerability Management (TVM) platforms, and Data Science/Analytics platforms. This will involve working with APIs and understanding data flows. Develop and implement metrics to evaluate the performance of AI models. Monitor deployed models for accuracy and performance and retrain as needed. Adhere to security best practices and ensure that all AI solutions are developed and deployed securely. Consider data privacy and compliance requirements. Work closely with other team members to understand security requirements and translate them into AI-driven solutions. Communicate effectively with stakeholders, including senior management, to present project updates and findings. Stay up to date with the latest advancements in AI/ML and security and identify opportunities to leverage new technologies to improve our security posture. Maintain thorough documentation of AI models, code, and processes. What We Offer Opportunity to work on cutting-edge LLM and RAG projects with global impact. A collaborative environment fostering innovation, research, and skill growth. Competitive salary, comprehensive benefits, and flexible work arrangements. The chance to shape AI-powered features in Sony’s next-generation products. Be able to function in an environment where the team is virtual and geographically dispersed

Education Qualification: Graduate

Skills: AI, NLP, Python, Data science

Must-Haves

Skills

AI, NLP, Python, Data science

NP: Immediate – 30 Days

Job Title: AI / Machine Learning Engineer

 Company: Apprication Pvt Ltd

 Location: Goregaon East

 Employment Type: Full-time

 Experience: 2.5-4 Years

• Bachelor’s or Master’s in Computer Science, Machine Learning, Data Science, or related field.
• Proven experience of 2.5-4 years as an AI/ML Engineer, Data Scientist, or AI Application Developer.
• Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn); familiarity with LangChain, Hugging Face, OpenAI API is a plus.
• Experience in model deployment, serving, and optimization (FastAPI, Flask, Django, or Node.js).
• Proficiency with databases (SQL and NoSQL: MySQL, PostgreSQL, MongoDB).
• Hands-on experience with cloud ML services (Sage Maker, Vertex AI, Azure ML) and DevOps tools (Docker, Kubernetes, CI/CD).
• Knowledge of MLOps practices: model versioning, monitoring, retraining, experiment tracking.
• Familiarity with frontend frameworks (React.js, Angular, Vue.js) for building AI-driven interfaces (nice to have).
• Strong understanding of data structures, algorithms, APIs, and distributed systems.
• Excellent problem-solving, analytical, and communication skills.
• Develop and maintain ETL pipelines, data preprocessing workflows, and feature engineering processes.
• Ensure solutions meet security, compliance, and performance standards.
• Stay updated with the latest research and trends in deep learning, generative AI, and LLMs.

• Curiosity, passion, teamwork, and initiative
• Extensive experience with SQL Server (T-SQL, query optimization, performance tuning, schema design)
• Strong proficiency in C# and .NET Core for enterprise application development and integration with complex data models
• Experience with Azure cloud services (e.g., Azure SQL, App Services, Storage)
• Ability to leverage agentic AI as a development support tool, with a critical thinking approach
• Solid understanding of agile methodologies, DevOps, and CI/CD practices
• Ability to work independently and collaboratively in a fast-paced, distributed team environment
• Excellent problem-solving, analytical, and communication skills
• Master's degree in Computer Science or equivalent; 5+ years of relevant work experience
• Experience with ERP systems or other complex business applications is a strong plus

Marketing Lead – Performance, Content & Growth

This is a full-time core team role based in Hyderabad at a funded startup

At CraftMyPlate, we’re transforming how India orders food for group gatherings — from office teams to family celebrations.

Our platform blends deep operational intelligence, delightful user experiences, and highly scalable systems to make bulk food ordering (10+ people) truly effortless.

We’re backed by leading investors and are entering an exciting scale phase — building the Event OS for India.

We’re looking for a hands-on growth marketer who is both:

✅ A performance marketing wizard — smart with money, obsessed with ROAS/CAC

✅ A content creator at heart — can turn real moments into trust-building stories

If you love owning numbers, scaling experiments, and building from scratch — this role is for you.

What You’ll Do

• Own and scale growth across Meta, Google, YouTube, WhatsApp, SEO, affiliates, influencers, and retargeting.
• Run bold experiments, test fast, and double down on what drives results.
• Deep-dive into analytics — optimize funnels, cut waste, and boost conversions.
• Create content that builds trust, recall, and demand, not just clicks.
• Collaborate with agencies, influencers, and partner brands (like MyGate) — understand target audiences by use case, design the right campaigns, and get them executed with clear ROI.
• Manage budgets with discipline, efficiency, and accountability.
• Work directly with founders to set ambitious goals — and hit them.
• Guide and mentor agencies or junior marketers to deliver consistent creative and performance output.

Must-Have Requirements

• 3+ years of performance marketing experience with proven CAC and ROAS impact.
• Strong analytical mindset — turns campaign data into insights and actions.
• Hands-on across Meta + Google Ads, remarketing, influencer strategy, and SEO fundamentals.
• Genuine storytelling ability — understands how content builds trust and converts.
• Deep customer empathy — ideally with experience in event, food, or consumer internet segments.
• Clear communicator who can align creative, performance, and brand thinking.
• Startup agility — executes fast, iterates daily, learns from data.

Good-to-Have

• Entrepreneurial experience or a founder mindset — someone who thinks in terms of outcomes, not tasks.
• Exposure to affiliate and partnership-driven growth.
• Experience creating regional + English content (Telugu or Hindi a plus).
• Comfort using AI and automation tools to speed up testing and production.
• Strong grasp of brand-building through consistent storytelling and recall design.

What You’ll Get

• A front-row seat to build and scale a brand from the ground up.
• The freedom to experiment, own big decisions, and see direct impact.
• Mentorship and collaboration directly with the founding team.
• A fast-moving, high-ownership culture where growth is visible and rewarded.
• Opportunity to shape brand perception, recall, and performance across multiple channels.
• Competitive salary + growth-linked incentives/ESOP's.

1. Leadership & Team Management :

- Lead a team of Power Platform developers and mentor junior team members.

- Review technical designs, code, and configurations to ensure quality and compliance.

- Coordinate with project managers, business analysts, and QA teams for smooth delivery.

- Conduct training and knowledge-sharing sessions on Power Platform best practices.

2. Governance & Security :

- Implement and enforce Power Platform governance policies, environment management, and DLP (Data Loss Prevention) rules.

- Ensure applications adhere to security, compliance, and licensing guidelines.

- Monitor and manage platform usage, capacity, and performance metrics.

3. Stakeholder Management :

- Work closely with business users to gather feedback, resolve issues, and enhance solutions.

- Act as a Power Platform evangelist to promote adoption and standardization across the organization.

- Provide post-deployment support and continuous improvement recommendations.

Technical Skills Required :

- Microsoft Power Platform: PowerApps (Canvas & Model-driven), Power Automate, Power BI, Dataverse, Power Pages

- Integration: SharePoint, Dynamics 365, Azure Logic Apps, SQL, REST APIs

- Development Tools: Power Fx, JavaScript, TypeScript, C#, .NET, JSON, HTML/CSS

- ALM Tools: Azure DevOps, Git, Power Platform CLI

- Databases: Microsoft SQL Server, Dataverse, Azure SQL

- Security: Azure Active Directory, Role-based access, DLP policies

- Bonus Skills: AI Builder, Power Virtual Agents, Copilot Studio, Azure Functions

Position Overview

• Drive cloud financial management (FinOps) lifecycle at Deltek.
• Optimize cloud spend, forecasting, and financial performance.
• Collaborate across teams to deliver actionable financial insights.

Key Responsibilities

• Deliver monthly cloud spend reports and forecasts to stakeholders.
• Manage cloud financial tools and consumption platforms.
• Apply financial principles for contract optimization and spend control.
• Present technical and financial insights in a clear, actionable format.
• Partner with engineering/product teams to identify cost drivers and savings.
• Lead optimization efforts (e.g., savings plans, reserved instances, right-sizing).
• Ensure tagging strategies and alerting frameworks are scalable.
• Support forecasting through demand planning and capacity management.
• Build financial models and forecasting tools for cloud spend.
• Automate FinOps workflows using Python, SQL, and cloud-native services.
• Develop AI-powered cost optimization tools using GenAI APIs.
• Create data pipelines for real-time cost visibility and alerting.
• Onboard stakeholders to FinOps tools and practices.
• Maintain KPIs, dashboards, and scorecards for spend tracking.
• Promote cost-conscious architecture and automation-driven optimization.
• Analyze usage patterns and provide technical cost-saving recommendations.
• Build self-service FinOps portals and GenAI chatbots for cost insights.
• Use GenAI to enhance automation, reporting, and productivity.

Qualifications

• Bachelor’s in finance, CS, IS, or related field.
• 4+ years in Cloud FinOps or IT Financial Management.
• 6–8 years in Cloud Infra, DevOps, or Software Development.
• Experience with AWS, Azure, OCI cost tools and FinOps platforms.
• Proven FinOps experience in enterprise environments.
• Skilled in building reports, dashboards, and financial insights.
• Strong grasp of cloud pricing, billing, and optimisation strategies.
• Experience with tagging, anomaly detection, and lifecycle policies.
• Proficient in Python, SQL, and automation for FinOps.
• Hands-on with GenAI APIs and prompt engineering.
• Experience with IaC (Terraform) and CI/CD pipelines.
• Familiarity with Power BI and data visualisation libraries.
• Knowledge of ML/AI frameworks and chatbot development is a plus.
• FinOps Certified Practitioner; cloud certifications preferred.

We are hiring BDM/BDEs with 1- 6 years of experience in IT service-based sales. Must have strong English skills, lead generation experience, and a proven track record in domestic/international client handling in IT Services.

At Pipaltree, we’re building an AI-enabled platform that helps brands understand how they’re truly perceived — not through surveys or static dashboards, but through real conversations happening across the world.

We’re a small team solving deep technical and product challenges: orchestrating large-scale conversation data, applying reasoning and summarization models, and turning this into insights that businesses can trust.

We’re looking for a Senior Fullstack Engineer who loves crafting delightful, high-performance applications that can handle thousands of concurrent users — and who thrives at the intersection of elegant UX and robust backend systems.

You’ll work closely with our AI, data, and product teams to build responsive, real-time interfaces that bring brand intelligence to life.

Requirements:

• Deep expertise in Next.js, React, Node.js, and TypeScript
• Experience architecting systems that handle thousands of concurrent users with low latency
• Strong understanding of web performance, caching, and asynchronous data flows
• Familiarity with databases (MongoDB/Postgres) and API design (REST or GraphQL)
• Strong product intuition — you care about UX, not just functionality
• Bonus: exposure to AI/LLM integrations, WebSockets, or event-driven architectures

At Pipaltree, we’re building an AI-enabled platform that helps brands understand how they’re truly perceived — not through surveys or static dashboards, but through real conversations happening across the world.

We’re a small team solving deep technical and product challenges: orchestrating large-scale conversation data, applying reasoning and summarization models, and turning this into insights that businesses can trust.

Requirements:

• Deep understanding of distributed systems and asynchronous programming in Python
• Experience with building scalable applications using LLMs or traditional ML techniques
• Experience with Databases, Cache, and Micro services
• Experience with DevOps is a huge plus

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

Job Title: Freelance AI & Data Science Trainer | 5+ Years Experience | Tamil Nadu

Location: Coimbatore / Tamil Nadu (Remote or Hybrid)

Engagement: Freelance / Contract-only

Experience: Minimum 5+ years (Industry + Training)

About the Role:

We are looking for an experienced Freelance AI & Data Science Trainer to deliver project-based, industry-relevant training sessions. The trainer should have deep expertise in Machine Learning, Deep Learning, and Python for Data Science, with the ability to guide learners through real-world use cases.

Requirements:

• Minimum 5 years of experience in AI / Data Science (training or real-world projects).
• Strong hands-on skills in Python, Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
• Expertise in data analysis, ML algorithms, and deployment workflows.
• Excellent communication and mentoring skills.
• Freelancers only (no full-time employment).
• Must be based in Tamil Nadu (preferably Coimbatore).

Compensation:

• Per session / per batch payment (competitive, based on experience).

Position Responsibilities:

About the Role

We are seeking a skilled and motivated Senior Software Developer to join our team, responsible for developing and maintaining a robust ERP solution used by approximately 400 customers and over 30,000 users worldwide. The system is built using C# (.NET Core), leverages SQL Server for data management, and is hosted in the Microsoft Azure cloud.

This role offers the opportunity to work on a mission-critical product, contribute to architectural decisions, and help shape the future of our cloud-native ERP platform.

Key Responsibilities

• Design, develop, and maintain features and modules within the ERP system using C# (.NET Core)
• Optimise and manage SQL Server database interactions for performance and scalability
• Collaborate with cross-functional teams, including QA, DevOps, Product Management, and Support
• Participate in code reviews, architecture discussions, and technical planning
• Contribute to the adoption and improvement of CI/CD pipelines and cloud deployment practices
• Troubleshoot and resolve complex technical issues across the stack
• Ensure code quality, maintainability, and adherence to best practices
• Stay current with emerging technologies and recommend improvements where applicable

Qualifications

• Curiosity, passion, teamwork, and initiative
• Strong experience with C# and .NET Core in enterprise application development
• Solid understanding of SQL Server, including query optimization and schema design
• Experience with Azure cloud services (App Services, Azure SQL, Storage, etc.)
• Ability to utilize agentic AI as a development support, with a critical thinking attitude
• Familiarity with agile development methodologies and DevOps practices
• Ability to work independently and collaboratively in a fast-paced environment
• Excellent problem-solving and communication skills
• Master's degree in computer science or equivalent; 5+ years of relevant work experience
• Experience with ERP systems or other complex business applications is a plus

What We Offer

• A chance to work on a product that directly impacts thousands of users worldwide
• A collaborative and supportive engineering culture
• Opportunities for professional growth and technical leadership
• Competitive salary and benefits package

Sr Software Engineer

Company Summary :

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference.

At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com

Business Summary :

The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged – consider joining us as we explore the limitless opportunities of the software industry.

Position Responsibilities :

About the Role

We are looking for a skilled and motivated Senior Software Developer to join our team responsible for developing and maintaining a robust ERP solution used by approximately 400 customers and more than 30000 users worldwide. The system is built using C# (.NET Core), leverages SQL Server for data management, and is hosted in the Microsoft Azure cloud.

This role offers the opportunity to work on a mission-critical product, contribute to architectural decisions, and help shape the future of our cloud-native ERP platform.

Key Responsibilities

• Design, develop, and maintain features and modules within the ERP system using C# (.NET Core)
• Optimize and manage SQL Server database interactions for performance and scalability
• Collaborate with cross-functional teams, including QA, DevOps, Product Management, and Support
• Participate in code reviews, architecture discussions, and technical planning
• Contribute to the adoption and improvement of CI/CD pipelines and cloud deployment practices
• Troubleshoot and resolve complex technical issues across the stack
• Ensure code quality, maintainability, and adherence to best practices
• Stay current with emerging technologies and recommend improvements where applicable

Qualifications

• Curiosity, passion, teamwork, and initiative
• Strong experience with C# and .NET Core in enterprise application development
• Solid understanding of SQL Server, including query optimization and schema design
• Experience with Azure cloud services (App Services, Azure SQL, Storage, etc.)
• Ability to utilize agentic AI as a development support, with a critical thinking attitude
• Familiarity with agile development methodologies and DevOps practices
• Ability to work independently and collaboratively in a fast-paced environment
• Excellent problem-solving and communication skills
• Master's degree in Computer Science or equivalent; 5+ years of relevant work experience
• Experience with ERP systems or other complex business applications is a plus

What We Offer

• A chance to work on a product that directly impacts thousands of users worldwide
• A collaborative and supportive engineering culture
• Opportunities for professional growth and technical leadership
• Competitive salary and benefits package

Hi Shanon, As discussed we have one open req for AI role. The right skill set I am looking for is experience with RAG pipelines, Performance monitoring of prompts and tuning. Multi model RAG and agentic AI soon but not night away. Needless to say Python and the NLP lib experience is a must. Database knowledge is also essential. The developer needs to be in Morgan Stanley offices 3 days per week. BLR location is preferred, if not Mumbai is also fine. The duration is long term since we are looking to expand the use cases Please let me know if you have any questions. 

Exp: 4 to 8 Years

CTC: up to 40 LPA

Mandatory Criteria

• 5–7 years of hands-on experience in building and deploying AI solutions, ideally in fintech or financial services.
• Strong coding skills in Python and familiarity with libraries like TensorFlow, PyTorch, scikit-learn, XGBoost, etc.
• Experience with NLP, time series forecasting, anomaly detection, or graph ML relevant to fintech applications.
• Solid understanding of MLOps concepts – model versioning, deployment, monitoring.
• Experience working with cloud platforms (AWS/GCP/Azure) and ML services (e.g., SageMaker, Vertex AI).
• Familiarity with Docker, Kubernetes, or other containerization tools for model deployment is a plus.
• Comfortable working with large-scale structured and unstructured datasets. Experience with LLMs or generative AI for fintech-specific use cases.
• Exposure to RegTech, risk modeling, or algorithmic trading.
• Publications, GitHub contributions, or Kaggle competitions.
• Familiarity with SQL/NoSQL databases and data pipelines (e.g., Airflow, Spark, etc.).

If interested kindly share your updated resume on 82008 31681

About Asha Health

Asha Health helps medical practices launch their own AI clinics. We're backed by Y Combinator, General Catalyst, 186 Ventures, Reach Capital and many more. We recently raised an oversubscribed seed round from some of the best investors in Silicon Valley. Our team includes AI product leaders from companies like Google, physician executives from major health systems, and more.

About the Role

We're looking for a Software Engineer to join our engineering team (currently 5 teammates). We're looking for someone who is an all-rounder, but has particularly exceptional backend engineering skills.

Our ideal candidate has built AI agents at the orchestration layer level and leveraged clever engineering techniques to improve latency & reliability for complex workflows.

We pay well above market for the country's best talent and provide a number of excellent perks.

Responsibilities

In this role, you will have the opportunity to build state-of-the-art AI agents, and learn what it takes to build an industry-leading multimodal, multi-agent suite.

You'll wear many hats. Your responsibilities will fall into 3 categories:

AI Engineering

• Develop AI agents with a high bar for reliability and performance.
• Build SOTA LLM-powered tools for providers, practices, and patients.
• Architect our data annotation, fine tuning, and RLHF workflows.
• Live on the bleeding-edge ensuring that every week, we have the most cutting edge agents as the industry evolves.

Full-Stack Engineering (80% backend, 20% frontend)

• Lead the team in designing scalable architecture to support performant web applications.
• Develop features end-to-end for our web applications (Typescript, nodeJS, python etc).

Requirements

You do not need AI experience to apply to this role. While we prefer candidates that have some AI experience, we have hired engineers before that do not have any, but have demonstrated that they are very fast learners.

We prefer candidates who have worked as a founding engineer at an early stage startup (Seed or Preseed) or a Senior Software Engineer at a Series A or B startup.

Perks of Working at Asha Health

#1 Build cool stuff: work on the latest, cutting-edge tech (build frontier AI agents with technologies that evolve every 2 weeks).

#2 Surround yourself with top talent: our team includes senior AI product leaders from companies like Google, experienced physician executives, and top 1% engineering talent (the best of the best).

#3 Rocketship trajectory: we get more customer interest than we have time to onboard, it's a good problem to have :)