50+ Artificial Intelligence (AI) Jobs in India

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

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

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

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

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

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

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

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

9) Strong knowledge of JS internals is a must.

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

Location: Hybrid/ Remote

Type: Contract / Full‑Time

Experience: 5+ Years

Qualification: Bachelor’s or Master’s in Computer Science or a related technical field

Responsibilities:

• Architect & implement the RAG pipeline: embeddings ingestion, vector search (MongoDB Atlas or similar), and context-aware chat generation.
• Design and build Python‑based services (FastAPI) for generating and updating embeddings.
• Host and apply LoRA/QLoRA adapters for per‑user fine‑tuning.
• Automate data pipelines to ingest daily user logs, chunk text, and upsert embeddings into the vector store.
• Develop Node.js/Express APIs that orchestrate embedding, retrieval, and LLM inference for real‑time chat.
• Manage vector index lifecycle and similarity metrics (cosine/dot‑product).
• Deploy and optimize on AWS (Lambda, EC2, SageMaker), containerization (Docker), and monitoring for latency, costs, and error rates.
• Collaborate with frontend engineers to define API contracts and demo endpoints.
• Document architecture diagrams, API specifications, and runbooks for future team onboarding.

Required Skills

• Strong Python expertise (FastAPI, async programming).
• Proficiency with Node.js and Express for API development.
• Experience with vector databases (MongoDB Atlas Vector Search, Pinecone, Weaviate) and similarity search.
• Familiarity with OpenAI’s APIs (embeddings, chat completions).
• Hands‑on with parameters‑efficient fine‑tuning (LoRA, QLoRA, PEFT/Hugging Face).
• Knowledge of LLM hosting best practices on AWS (EC2, Lambda, SageMaker).

Containerization skills (Docker):

• Good understanding of RAG architectures, prompt design, and memory management.
• Strong Git workflow and collaborative development practices (GitHub, CI/CD).

Nice‑to‑Have:

• Experience with Llama family models or other open‑source LLMs.
• Familiarity with MongoDB Atlas free tier and cluster management.
• Background in data engineering for streaming or batch processing.
• Knowledge of monitoring & observability tools (Prometheus, Grafana, CloudWatch).
• Frontend skills in React to prototype demo UIs.

Location: Hybrid/ Remote

Openings: 2

Experience: 5+ Years

Qualification: Bachelor’s or Master’s in Computer Science or related field

Job Responsibilities

Problem Solving & Optimization:

• Analyze and resolve complex technical and application issues.
• Optimize application performance, scalability, and reliability.

Design & Develop:

• Build, test, and deploy scalable full-stack applications with high performance and security.
• Develop clean, reusable, and maintainable code for both frontend and backend.

AI Integration (Preferred):

• Collaborate with the team to integrate AI/ML models into applications where applicable.
• Explore Generative AI, NLP, or machine learning solutions that enhance product capabilities.

Technical Leadership & Mentorship:

• Provide guidance, mentorship, and code reviews for junior developers.
• Foster a culture of technical excellence and knowledge sharing.

Agile & Delivery Management:

• Participate in Agile ceremonies (sprint planning, stand-ups, retrospectives).
• Define and scope backlog items, track progress, and ensure timely delivery.

Collaboration:

• Work closely with cross-functional teams (product managers, designers, QA) to deliver high-quality solutions.
• Coordinate with geographically distributed teams.

Quality Assurance & Security:

• Conduct peer reviews of designs and code to ensure best practices.
• Implement security measures and ensure compliance with industry standards.

Innovation & Continuous Improvement:

• Identify areas for improvement in the software development lifecycle.
• Stay updated with the latest tech trends, especially in AI and cloud technologies, and recommend new tools or frameworks.

Required Skills

• Strong proficiency in JavaScript, HTML5, CSS3
• Hands-on expertise with frontend frameworks like React, Angular, or Vue.js
• Backend development experience with Java, Spring Boot (Node.js is a plus)
• Knowledge of REST APIs, microservices, and scalable architectures
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Experience with Agile/Scrum methodologies and JIRA for project tracking
• Proficiency in Git and version control best practices
• Strong debugging, performance optimization, and problem-solving skills
• Ability to analyze customer requirements and translate them into technical specifications

Location: Hybrid/ Remote

Openings: 5

Experience: 0 - 2Years

Qualification: Bachelor’s or Master’s in Computer Science or a related technical field

Key Responsibilities:

Backend Development & APIs

• Build microservices that provide REST APIs to power web frontends.
• Design clean, reusable, and scalable backend code meeting enterprise security standards.
• Conceptualize and implement optimized data storage solutions for high-performance systems.

Deployment & Cloud

• Deploy microservices using a common deployment framework on AWS and GCP.
• Inspect and optimize server code for speed, security, and scalability.

Frontend Integration

• Work on modern front-end frameworks to ensure seamless integration with back-end services.
• Develop reusable libraries for both frontend and backend codebases.

AI Awareness (Preferred)

• Understand how AI/ML or Generative AI can enhance enterprise software workflows.
• Collaborate with AI specialists to integrate AI-driven features where applicable.

Quality & Collaboration

• Participate in code reviews to maintain high code quality.
• Collaborate with teams using Agile/Scrum methodologies for rapid and structured delivery.

Required Skills:

• Proficiency in JavaScript (ES6+), Webpack, Mocha, Jest
• Experience with recent frontend frameworks – React.js, Redux.js, Node.js (or similar)
• Deep understanding of HTML5, CSS3, SASS/LESS, and Content Management Systems
• Ability to design and implement RESTful APIs and understand their impact on client-side applications
• Familiarity with cloud platforms (AWS, Azure, or GCP) – deployment, storage, and scalability
• Experience working with Agile and Scrum methodologies
• Strong backend expertise in Java, J2EE, Spring Boot is a plus but not mandatory

About the Role

We are seeking an innovative Data Scientist specializing in Natural Language Processing (NLP) to join our technology team in Bangalore. The ideal candidate will harness the power of language models and document extraction techniques to transform legal information into accessible, actionable insights for our clients.

Responsibilities

• Develop and implement NLP solutions to automate legal document analysis and extraction
• Create and optimize prompt engineering strategies for large language models
• Design search functionality leveraging semantic understanding of legal documents
• Build document extraction pipelines to process unstructured legal text data
• Develop data visualizations using PowerBI and Tableau to communicate insights
• Collaborate with product and legal teams to enhance our tech-enabled services
• Continuously improve model performance and user experience

Requirements

• Bachelor's degree in relevant field
• 1-5 years of professional experience in data science, with focus on NLP applications
• Demonstrated experience working with LLM APIs (e.g., OpenAI, Anthropic, )
• Proficiency in prompt engineering and optimization techniques
• Experience with document extraction and information retrieval systems
• Strong skills in data visualization tools, particularly PowerBI and Tableau
• Excellent programming skills in Python and familiarity with NLP libraries
• Strong understanding of legal terminology and document structures (preferred)
• Excellent communication skills in English

What We Offer

• Competitive salary and benefits package
• Opportunity to work at India's largest legal tech company
• Professional growth in the fast-evolving legal technology sector
• Collaborative work environment with industry experts
• Modern office located in Bangalore
• Flexible work arrangements

Qualified candidates are encouraged to apply with a resume highlighting relevant experience with NLP, prompt engineering, and data visualization tools.

Location: Bangalore, India

• Audit technical, on‑page and off‑page issues; ship fixes that lift traffic and revenue.

• Create keyword maps, content briefs and internal‑linking plans using Ahrefs/GSC data piped through Python or n8n.

• Build workflows in n8n, Airops and Zapier to scrape SERPs, cluster queries, monitor logs and flag anomalies in real time.

• Deploy GPT‑4o / Claude via API to generate schema, outreach copy and QA at scale, maintaining EEAT.

• Guide devs on Core Web Vitals, hreflang, structured data and site architecture.

• Automate dashboards in Looker Studio/BigQuery for transparent reporting.

Ops Analysts/Sys Admin

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

Ops Analysts/Sys Admin

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

External Job Title :

Systems Engineer 1

Position Responsibilities :

We are seeking a highly skilled and motivated System Engineer to join our team. Apart from a strong technical background, excellent problem-solving abilities, and a collaborative mindset the ideal candidate will be a self-starter with a high level of initiative and a passion for experimentation. This role requires someone who thrives in a fast-paced environment and is eager to take on new challenges.

• Technical Skills:

Must Have Skills:

• PHP
• SQL; Relational Database Concepts
• At least one scripting language (Python, PowerShell, Bash, UNIX, etc.)
• Experience with Learning and Utilizing APIs

Nice to Have Skills:

• Experience with AI Initiatives & exposure of GenAI and/or Agentic AI projects
• Microsoft Power Apps
• Microsoft Power BI 
• Atomic
• Snowflake
• Cloud-Based Application Development 
• Gainsight
• Salesforce 

• Soft Skills:

Must Have Skills:

• Flexible Mindset for Solution Development 
• Independent and Self-Driven; Autonomous
• Investigative; drives toward resolving Root Cause of Stakeholder needs instead of treating Symptoms; Critical Thinker
• Collaborative mindset to drive best results 

Nice to Have Skills:

• Business Acumen (Very Nice to Have)

• Responsibilities:
• Develop and maintain system solutions to meet stakeholder needs.
• Collaborate with team members and stakeholders to ensure effective communication and teamwork.
• Independently drive projects and tasks to completion with minimal supervision.
• Investigate and resolve root causes of issues, applying critical thinking to develop effective solutions.
• Adapt to changing requirements and maintain a flexible approach to solution development.

Qualifications :

• A college degree in Computer Science, Software Engineering, Information Science or a related field is required 
• Minimum 2-3 years of experience programming skills on PHP, Powe BI or Snowflake, Python and API Integration.
• Proven experience in system engineering or a related field.
• Strong technical skills in the required areas.
• Excellent problem-solving and critical thinking abilities.
• Ability to work independently and as part of a team.
• Strong communication and collaboration skills.

3+ years of experience in cybersecurity, with a focus on application and cloud security.

· Proficiency in security tools such as Burp Suite, Metasploit, Nessus, OWASP ZAP, and SonarQube.

· Familiarity with data privacy regulations (GDPR, CCPA) and best practices.

· Basic knowledge of AI/ML security frameworks and tools.

Greentree Capital is seeking an enthusiastic Software Network Engineering Intern to join our growing team. This internship will focus on integrating artificial intelligence and ChatGPT functionalities into our AI-powered chatbot systems across various investment project websites. The ideal candidate will have a passion for artificial intelligence and software development, with a strong foundation in programming and problem-solving.

Responsibilities:

- Collaborate with the development team to design and implement AI-driven chatbot functionalities for our investment project websites.

- Assist in the integration of ChatGPT into existing systems to enhance user interaction and experience using artificial intelligence technologies.

- Conduct research on artificial intelligence technologies, natural language processing (NLP), and recommend best practices for chatbot development.

- Test and debug AI-driven chatbot functionalities to ensure optimal performance and user satisfaction.

- Gather and analyze user feedback to improve AI-driven chatbot responses and capabilities.

- Document technical specifications and processes for the development of AI-enhanced chatbot features.

Qualifications

- Strong foundation in programming languages such as Python, Java, or JavaScript.

- Familiarity with AI concepts, machine learning, and natural language processing (NLP) technologies.

- Experience with chatbot development and/or artificial intelligence frameworks is a plus.

- Ability to work in a fast-paced environment, be self-motivated, organized, and detail-oriented.

- Excellent communication skills, with the ability to work collaboratively within a team.

- A keen interest in learning about new artificial intelligence technologies and business processes.

Education & Experience

- Currently pursuing a Bachelor’s degree in Computer Science, Software Engineering, or a related field.

- Previous experience in software development or AI-related projects is preferred but not required.

Greentree’s website: www.greentree.group

We are looking for a highly skilled AI/ML/Gen AI Data Scientist with expertise in Generative AI, Machine Learning, Deep Learning, and Natural Language Processing (NLP). The ideal candidate should have a strong foundation in Python-based AI frameworks and experience in developing, deploying, and optimizing AI models for real-world applications.

Key Responsibilities:

Develop and implement AI/ML models.

Work with Deep Learning architectures like Transformers (BERT, GPT, LLaMA) and CNNs/RNNs.

Fine-tune and optimize Large Language Models (LLMs) for various applications.

Design and train custom Machine Learning models using structured and unstructured data.

Leverage NLP techniques such as text summarization, Named Entity Recognition (NER).

Implement ML pipelines and deploy models in cloud environments (AWS/GCP/Azure).

Collaborate with cross-functional teams to integrate AI-driven solutions into business applications.

Stay updated with latest AI advancements and apply innovative techniques to improve model performance.

Required Skills & Qualifications:

1 to 3 years of experience in AI/ML, Deep Learning, and Generative AI.

 Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn.

 Hands-on experience with NLP models, including BERT, GPT, T5, LLaMA, and Stable Diffusion.

 Expertise in data preprocessing, feature engineering, and model evaluation.

 Experience with MLOps, cloud-based AI deployment, and containerization (Docker, Kubernetes).

 Knowledge of vector databases and retrieval-augmented generation (RAG) techniques.

 Ability to fine-tune LLMs and work with prompt engineering.

 Strong problem-solving skills and ability to work in agile environments.

Educational Requirements:

Bachelor's, Master's, or PhD in Computer Science/Artificial Intelligence/Information Technology

Preferred Skills (Good to Have):

Experience with Reinforcement Learning (RLHF) and multi-modal AI.

Familiarity with AutoML, Responsible AI (RAI), and AI Ethics.

Exposure to Graph Neural Networks (GNNs) and time-series forecasting.

Contributions to open-source AI projects or research papers.

Software Development Intern

About This Role

We're building next-generation browser agents that combine accuracy, security, and advanced task learning capabilities. We're looking for self-driven, independent interns who thrive on exploration and problem-solving to help us push the boundaries of what's possible with intelligent web automation.

This isn't a traditional learning internship—we want builders who have already proven they can ship projects and tackle challenges autonomously. You'll work across our full tech stack, from backend APIs to frontend interfaces, with access to cutting-edge AI-powered development tools while contributing to the future of browser automation.

What You'll Do

• Develop intelligent browser agents with advanced task learning and execution capabilities
• Build secure automation systems that can navigate complex web environments accurately
• Create robust AI-powered workflows using LangChain and modern ML frameworks
• Design and implement security measures for safe browser automation
• Create comprehensive test environments for agent validation and performance testing
• Debug and fix application bugs across the full stack to ensure reliable agent operation
• Solve complex problems independently using AI code assistants (Cursor, v0.dev, etc.)
• Explore and experiment with new technologies in AI agent development
• Own projects end-to-end from conception to deployment
• Work across the full stack as needed—no rigid role boundaries

Our Tech Stack

Backend:

• Python with FastAPI
• LangChain for AI/ML workflows
• Google Cloud Platform (GCP) services
• Supabase for database and authentication

Frontend:

• JavaScript/TypeScript
• React for web interfaces
• Electron for desktop applications

Development Tools:

• Cursor IDE with AI assistance
• v0.dev for rapid prototyping
• Modern DevOps and CI/CD pipelines

Flexibility:

• Choose your own tech stack when needed - We're open to new tools and frameworks that solve problems better
• Experiment with cutting-edge technologies - If you find a better solution, we're all ears

What We're Looking For

Required Experience

• Proven project portfolio - Show us what you've built, not what you've learned
• Full-stack development experience with Python and JavaScript
• Independent problem-solving skills - You research, experiment, and find solutions
• Experience with modern frameworks (FastAPI, React, or similar)
• Cloud platform familiarity (GCP, AWS, or Azure)

Ideal Candidates Have

• Built and deployed real applications (personal projects, hackathons, open source)
• Experience with browser automation (Selenium, Playwright, Puppeteer, or similar)
• AI/ML model integration experience (LangChain, OpenAI APIs, agent frameworks)
• Security-focused development understanding of web security principles
• Task learning and reinforcement learning familiarity
• Testing and debugging experience with automated systems and complex applications
• Test environment setup and CI/CD pipeline experience
• Database design and optimization experience
• Desktop application development (Electron or similar)
• DevOps and infrastructure automation knowledge

What We Offer

• Work on cutting-edge browser agent technology - Shape the future of intelligent web automation
• Cutting-edge AI development tools - Full access to Cursor, v0.dev, and other AI assistants
• Technology freedom - Choose the best tools for the job, not just what's already in the stack
• Real project ownership - Your work will directly impact our next-gen browser agents
• Flexible exploration time - Dedicate time to experiment with new AI/ML approaches
• Mentorship from experienced developers - When you need it, not constant hand-holding
• Remote-first environment with flexible working hours
• Competitive internship compensation

What Makes You Stand Out

• Self-starter mentality - You don't wait for detailed instructions
• Curiosity-driven exploration - You love diving into new technologies
• Problem-solving resilience - You debug, research, and iterate until it works
• Quality-focused delivery - You ship polished, well-tested code
• Open source contributions or active GitHub presence
• Technology adaptability - You can evaluate and adopt new tools when they solve problems better

Application Requirements

1. Portfolio/GitHub - Show us your best projects with live demos
2. Brief cover letter - Tell us about a challenging problem you solved independently
3. Technical challenge - We'll provide a small project to assess your problem-solving approach

Not a Good Fit If You

• Need constant guidance and structured learning paths
• Prefer working on assigned tasks without creative input
• Haven't built substantial projects outside of coursework
• Are looking primarily for resume building rather than real contribution

Ready to build something amazing? Send us your portfolio and let's see what you can create with unlimited access to AI development tools and real-world challenges.

We're an equal opportunity employer committed to diversity and inclusion.

Job Description: Growth Officer - Founder's Office

Company Overview

AXS Solutions & Consulting Pvt. Ltd.

AXS Solutions is a leading technology company focused on providing unique and innovative solutions across AI/ML, fintech, customer experience, and digital transformation. With our mission of "Enabling Digital Future," we serve 50+ clients globally and maintain operations in India with aspirations for global expansion.

Position Summary

Job Title: Growth Officer - Founder's Office

Department: Founder's Office

Reports To: Founder & Managing Director

Location: Mumbai

Employment Type: Full-time

Experience Level: 4 years +

The Growth Officer will serve as a strategic business leader working directly with the founder's office to drive accelerated growth across all business verticals. This role combines strategic thinking with operational excellence, overseeing Sales, Marketing, and Delivery functions to achieve aggressive growth targets while maintaining operational efficiency.

Key Responsibilities

Strategic Growth Planning (30%)

• Develop and execute comprehensive growth strategies aligned with company vision
• Identify new market opportunities and business verticals for expansion
• Create and monitor KPIs for sales, marketing, and delivery performance
• Conduct market analysis and competitive intelligence to inform strategic decisions
• Collaborate with founders on long-term business planning and goal setting
• Drive digital transformation initiatives across all business functions

Sales Leadership & Revenue Growth (35%)

• Lead sales strategy development and execution across all product lines
• Manage and optimize the complete sales funnel from lead generation to closure
• Develop pricing strategies and negotiate high-value enterprise deals
• Build and maintain relationships with key clients and stakeholders
• Establish channel partnerships and strategic alliances
• Implement sales methodologies and processes to improve conversion rates
• Manage sales team performance and provide strategic guidance
• Target: Achieve 40%+ year-over-year revenue growth

Marketing & Brand Development (20%)

• Develop integrated marketing strategies across digital and traditional channels
• Lead brand positioning and messaging for all product offerings
• Oversee content marketing, thought leadership, and industry presence
• Manage marketing budget allocation and ROI optimization
• Drive demand generation and lead qualification processes
• Establish AXS as a thought leader in AI, fintech, and customer experience domains
• Coordinate participation in industry events, conferences, and trade shows

Delivery Excellence & Customer Success (15%)

• Ensure delivery quality and customer satisfaction across all engagements
• Implement standardized delivery methodologies and best practices
• Monitor project profitability and resource utilization
• Drive customer retention and expansion strategies
• Establish customer success metrics and feedback loops
• Collaborate with technical teams to ensure solution quality and innovation

Required Qualifications

Education & Experience

• Education: MBA from reputed institution (IIM/ISB/XLRI) or equivalent
• Experience: 4 years+ in growth roles within technology/consulting companies
• Industry: Prior experience in B2B technology, fintech, or professional services
• Leadership: Minimum 3 years managing cross-functional teams

Core Competencies

• Strategic Thinking: Proven ability to develop and execute growth strategies
• Sales Excellence: Track record of achieving 30%+ growth targets consistently
• Marketing Expertise: Experience with B2B marketing, digital marketing, and brand building
• Analytical Skills: Strong data analysis and business intelligence capabilities
• Leadership: Experience leading teams of 10+ members across multiple functions
• Communication: Exceptional presentation and stakeholder management skills

Technical Knowledge

• Understanding of AI/ML, fintech, and digital transformation landscapes
• Experience with CRM systems, marketing automation, and analytics tools
• Knowledge of enterprise sales cycles and complex solution selling
• Familiarity with project delivery methodologies (Agile/Waterfall)

Preferred Qualifications

Industry Experience

• Previous experience in AI/ML, fintech, or customer experience domains
• Background in consulting or professional services
• Experience with government and large enterprise sales
• International business development experience

Achievements

• Demonstrated success in scaling businesses
• Experience in new market entry and product launches
• Track record of building high-performing teams from scratch
• Recognition in industry forums or publications

*Must speak fluent english*

Video Pre-Screen Interview Required... After submitting please also visit here to apply & start the initial video interview:

Job description

We believe cloud based technology has changed how we work. Our commercial lending SaaS platform empowers our client base of brokers and lenders to create a seamless borrower experience, manage a network of brokers, & scale their entire lending organization in the cloud powered by LendingWise

Company Description

Do you want to work for a company powering the digital lending transformation across numerous lending verticals? We work to make a lending platform that is robust, customizable, & turnkey for numerous business purpose lending products like residential/commercial real estate lending, business funding, SBA, Equipment, MCA and more. The lending suite of products includes a CRM, LOS, Marketplace, and Servicing capabilities, ALL-IN-ONE platform. It’s the holy grail for every private lender/commercial lender/bank/Credit Union or broker of any size. We launched in early 2018 and have seen explosive growth nationwide.

Position Summary

LendingWise is looking for a Full Stack Developer/Architect who has the ability to define, develop and manage the existing architecture strategy for the LendingWise platform & its inter-connected products related to CRM, LOS, Servicing & Marketplace of lenders. You will be responsible for introducing new applications, services, and technologies into the LendingWise technical landscape and you will take responsibility for the initiatives you designed. You will need expert level knowledge of a variety of business domains including, but not limited to, CRM, Loan Origination, Loan Servicing, Payment integration, & API connectivity for various integrations for mortgage vendors (Plaid, Corelogic, DocMagic, Docusign, etc… & CRMs like hubspot, salesforce, etc… You need to manage input from our product owner/manager & CEO and assume overall responsibility for the execution of multiple, large-scale, mission critical initiatives. You will be accountable to a variety of primary business stakeholders for the quality and success of programs assigned to you. An acute sense of attention to detail is necessary. This role requires working with teams within and outside the USA. Flexibility in working hours will be required.

Key Responsibilities

Help plan, architect, & review various phases, features, bugs, & enhancements of the CRM, Loan Origination, & Loan Servicing platform & API connectivity hub

Introduce new tools and fresh insights to assist with development goals

Work on new features, enhancements, bugs & refactor code to MVC structure within the LendingWise platform

Requirements

Deep knowledge of Core PHP & other PHP frameworks, including strong experience with MVC patterns

JavaScript, HTML, Bootstrap

MySQL & Stored Procedures

Excellent skills in object-oriented programming and MVC design patterns

Comfortable working with SSH command line & GitHub version control, & PHP Storm

Solid knowledge of RESTful API endpoints

Multi-tenant CRM, ERP, Real Estate, Loan or FinTech Experience required

Compensation:

Competitive Salary & Bonuses

2 weeks paid time off annually

Flexible work schedule

Job Type: Full-time

Location:

Remote

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets.

Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Work you’ll do

As an AI Engineer at Moative, you will be at the forefront of applying cutting-edge AI to solve real-world problems. You will be instrumental in designing and developing intelligent software solutions, leveraging the power of foundation models to automate and optimize critical workflows. Collaborating closely with domain experts, data scientists, and ML engineers, you will integrate advanced ML and AI technologies into both existing and new systems. This role offers a unique opportunity to explore innovative ideas, experiment with the latest foundation models, and build impactful products that directly enhance the lives of citizens by transforming how government services are delivered. You'll be working on challenging and impactful projects that move the needle on traditionally difficult-to-automate processes.

Responsibilities

• Utilize and adapt foundation models, particularly in vision and data extraction, as the core building blocks for developing impactful products aimed at improving government service delivery. This includes prompt engineering, fine-tuning, and evaluating model performance
• Architect, build, and deploy intelligent AI agent-driven workflows that automate and optimize key processes within government service delivery. This encompasses the full lifecycle from conceptualization and design to implementation and monitoring
• Contribute directly to enhancing our model evaluation and monitoring methodologies to ensure robust and reliable system performance. Proactively identify areas for improvement and implement solutions to optimize model accuracy and efficiency
• Continuously learn and adapt to the rapidly evolving landscape of AI and foundation models, exploring new techniques and technologies to enhance our capabilities and solutions

Who you are

You are a passionate and results-oriented engineer who is driven by the potential of AI/ML to revolutionize processes, enhance products, and ultimately improve user experiences. You thrive in dynamic environments and are comfortable navigating ambiguity. You possess a strong sense of ownership and are eager to take initiative, advocating for your technical decisions while remaining open to feedback and collaboration. 

You are adept at working with real-world, often imperfect data, and have a proven ability to develop, refine, and deploy AI/ML models into production in a cost-effective and scalable manner. You are excited by the prospect of directly impacting government services and making a positive difference in the lives of citizens

Skills & Requirements

• 3+ years of experience in programming languages such as Python or Scala
• Proficient knowledge of cloud platforms (e.g., AWS, Azure, GCP) and containerization, DevOps (Docker, Kubernetes)
• Tuning and deploying foundation models, particularly for vision tasks and data extraction
• Excellent analytical and problem-solving skills with the ability to break down complex challenges into actionable steps
• Strong written and verbal communication skills, with the ability to effectively articulate technical concepts to both technical and non-technical audiences

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less.

Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply. We encourage you to apply even if you believe you do not meet all the requirements listed above.  

That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers. 

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.

About Reltio

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data.

Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”.

If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives.

If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data—let’s talk!

Job Summary

Core Platform development is spread across multiple cross-functional teams, each building large and complex components of the MDM platform. An engineer playing a senior role in a team is technically responsible for particular feature delivery, which consists of:

• Presenting a solution to Architects
• Technically driving feature delivery, making decisions, development leadership – distributing tasks across one or two regular engineers
• Working with QA to review testing approaches, providing all details needed for testing, and reviewing test plans
• Being responsible for all internal feature documentation

Job Duties and Responsibilities

• Integrate backend services with AI agents and LLM-powered toolchains
• Work closely with AI/ML teams to expose and support autonomous workflows through APIs
• Develop event-driven and asynchronous services for real-time agentic interactions
• Support integration of AI agents with business logic, databases, external APIs, and messaging systems
• Maintain API security, authentication, and data privacy standards
• Stay up to date on emerging agentic AI trends and suggest practical applications within the backend stack

Skills You Must Have

• Experience integrating with AI microservices, APIs, or agent frameworks
• Basic knowledge of Python will be a plus
• Previous work in a cross-functional environment combining backend and AI components
• Understanding of prompt engineering, embeddings, or semantic search is a plus
• Exposure to agentic AI systems and tools like LangChain will be a plus
• Familiarity with graph-based memory systems, context-aware workflows, or reasoning engines
• Basic understanding of MCP protocol

Skills That Are Nice to Have

• Experience working with NoSQL databases like Cassandra, and queue services like SQS
• Experience in cloud security principles
• Experience with Kubernetes
• Experience with big data technologies
• Experience in driving customer focus for SaaS products is a big plus

Why Join Reltio?

Health & Wellness:

• Comprehensive Group medical insurance (includes parents) with additional top-up options
• Accidental Insurance
• Life Insurance
• Free unlimited online doctor consultations
• Employee Assistance Program (EAP)

Work-Life Balance:

• 36 annual leaves (18 sick + 18 earned)
• 26 weeks maternity leave, 15 days paternity leave
• 1 week additional off every year globally (Recharge Week)

Support for Home Office Setup:

• Home office setup allowance

Stay Connected, Work Flexibly:

• Mobile & internet reimbursement
• Free meal coverage
• And many more…

We are seeking a detail-oriented and analytical Data Analyst to collect, process, and analyze data to help drive informed business decisions. The ideal candidate will have strong technical skills, business acumen, and the ability to communicate insights effectively.

We are looking for skilled AI Engineer for our organization. Please have a look to below details and revert accordingly if we can discuss further

Company Name: TechWize (A Business unit of Mangalam Information Technologies Pvt Ltd.)

Our Accreditations -

• 25 years of industry presence
• Salesforce Partner
• ISO 27001:2019 certified
• Great Place to Work certified
• HIPAA Compliant
• SOC2 Compliant
• NASSCOM Member

Our EVP (Employee Value proposition)

• We are a Great place to work certified company.
• 30 Earned Leaves during calendar Year
• Career progression and continuous Learning & Development (Technical, Soft skills, Communication, Leadership)
• Performance bonus & Loyalty Bonus Benefits
• 5 Days working
• Rewards and Recognition programs
• Standard Salary as per market norms
• Equal career opportunities, No discrimination
• Magnificent & Dynamic Culture
• Festival celebrations & fun events

Explore more : https://techwize.com/, https://mangalaminfotech.com/

Position: AI/Sr. AI Engineer

Job location: Ahmedabad

Experience: 4+ years

Job Overview:

We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI, including LLM fine-tuning and prompt engineering. This role requires hands-on expertise across NLP, Computer Vision, and AI agent-based systems, with the ability to build, deploy, and optimize scalable AI solutions using modern tools and frameworks.

Key Responsibilities:

• Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications.
• Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality.
• Build NLP solutions for Q&A, summarization, information extraction, text classification, and more.
• Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks.
• Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines.
• Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features.
• Optimize models for performance, cost-efficiency, and low latency in production.
• Continuously evaluate new AI research, tools, and frameworks and apply them where relevant.
• Mentor junior AI engineers and contribute to internal AI best practices and documentation.

Required Skills & Qualifications:

• Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
• 5+ years of hands-on experience in AI/ML solution development.
• Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT.
• Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG).
• 
  
• Proficient in key AI libraries and frameworks:
• LLMs & GenAI: Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers
• NLP: SpaCy, NLTK.
• Vision: OpenCV, MMDetection, YOLOv5/v8, Detectron2
• MLOps: MLflow, FastAPI, Docker, Git
• 
  
• Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation.
• Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure.
• Strong communication skills and ability to convert business problems into technical solutions.

We are inviting a Fullstack Engineer to join our dynamic product team at BrandLabs. If you’re passionate about building end-to-end web applications and enjoy working across the stack, we’d love to connect!

Key Responsibilities:

• Develop, deploy, and maintain web applications using NextJS, Typescript, NodeJS, NestJS, and ExpressJS.
• Collaborate with the product, design, and backend teams to deliver seamless user experiences.
• Write clean, maintainable, and scalable code following industry best practices.
• Participate in technical discussions, code reviews, and architectural planning.
• Integrate third-party services, APIs, and tools where required.
• Ensure application performance, security, and responsiveness.

Required Skills:

• 1-2 years of hands-on experience in fullstack development.
• Strong proficiency in NextJS, Typescript, NodeJS, NestJS, and ExpressJS.
• Good understanding of RESTful APIs and microservice architecture.
• Ability to troubleshoot, debug, and optimize applications for performance.

Good to Have:

• Experience building n8n workflows for automation.
• Exposure to AI/ML-based projects or AI service integrations.
• Familiarity with DevOps, CI/CD pipelines, and cloud platforms.

Additional Information:

• Location: We prefer candidates based in or around Thane, Mumbai for better collaboration.

Project Links: Please share your GitHub, portfolio, or links to live projects you’ve contributed to.

Job Title: AI Integration Specialist 

Location: Remote

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
• Proven 6+ years of hands-on experience in designing, developing, and deploying integrations using the Workato platform.
• Strong understanding of Integration Platform as a Service (iPaaS) concepts and enterprise application integration (EAI) patterns.
• Demonstrated experience with Workato's AI capabilities, including building solutions with AI by Workato, IDP, or Agentic AI.
• Proficiency in working with various APIs (REST, SOAP), webhooks, and different data formats (JSON, XML, CSV).
• Experience with scripting languages (e.g., Ruby, Python, JavaScript) for custom logic within Workato recipes is a plus.
• Solid understanding of database concepts and experience with SQL/NoSQL databases.
• Excellent problem-solving, analytical, and troubleshooting skills with keen attention to detail.
• Strong communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders.
• Workato certifications (e.g., Automation Pro I, II, III, Integration Developer) are highly desirable.
• Experience with Agile/Scrum methodologies is a plus.

Experience in working with various ML libraries and packages like Scikit learn, Numpy, Pandas, Tensorflow, Matplotlib, Caffe, etc. 2. Deep Learning Frameworks: PyTorch, spaCy, Keras 3. Deep Learning Architectures: LSTM, CNN, Self-Attention and Transformers 4. Experience in working with Image processing, computer vision is must 5. Designing data science applications, Large Language Models(LLM) , Generative Pre-trained Transformers (GPT), generative AI techniques, Natural Language Processing (NLP), machine learning techniques, Python, Jupyter Notebook, common data science packages (tensorflow, scikit-learn,keras etc.,.) , LangChain, Flask, FastAPI, prompt engineering. 6. Programming experience in Python 7. Strong written and verbal communications 8. Excellent interpersonal and collaboration skills.

Good-to-Have 1. Experience working with vectored databases and graph representation of documents. 2. Experience with building or maintaining MLOps pipelines. 3. Experience in Cloud computing infrastructures like AWS Sagemaker or Azure ML for implementing ML solutions is preferred. 4. Exposure to Docker, Kubernetes

SN Role descriptions / Expectations from the Role

1 Design and implement scalable and efficient data architectures to support generative AI workflows.

2 Fine tune and optimize large language models (LLM) for generative AI, conduct performance evaluation and benchmarking for LLMs and machine learning models

3 Apply prompt engineer techniques as required by the use case

4 Collaborate with research and development teams to build large language models for generative AI use cases, plan and breakdown of larger data science tasks to lower-level tasks

5 Lead junior data engineers on tasks such as design data pipelines, dataset creation, and deployment, use data visualization tools, machine learning techniques, natural language processing , feature engineering, deep learning , statistical modelling as required by the use case.

We're looking for a curious, creative, and AI-obsessed design intern who’s excited to explore the intersection of AI and design. If you’re someone who is constantly playing with new AI tools (or wants to), loves experimenting, and is excited about AI first design crossing paths with traditional design methods, this one’s for you.

This is not your average design internship. This is an AI-X internship. You’ll explore how AI tools can be embedded into everyday design processes. You'll explore internal experiments and real-world applications to help shape how AI enhances modern design workflows.

What you’ll do: 

• Experiment with AI tools (like Midjourney, ChatGPT, Galileo AI, and who knows what new ones might come out!) to create visual assets, design systems, AI bots and more Integrate AI-generated content into real design projects
• Research and test new AI tools, be our in-house AI explorer
• Support the design team in UI/UX and visual design tasks using a blend of AI + traditional tools
• Immersive in a bunch of vide coding, but with a design-first approach to belt out actual working platforms/ apps, not just design. 
• Help document workflows, findings, and create case studies
• Communicate and articulate ideas clearly to the internal team

What we are looking for: 

• Pursuing a degree in Design, Human-Computer Interaction, or a related field.
• Foundational knowledge of design principles and an eagerness to learn and develop UI/UX skills.
• Familiarity with Design AI tools like Framer, Lovable, Scade etc or any other tool is a good to have.
• Passionate about AI and design you’ve either explored tools already or are hungry to dive in
• Good foundational understanding of design — layout, color, typography, UX thinking
• Curious, self-driven, and open to experimentation and ambiguity
• Great communication & articulation skills, can explain ideas, tools, and results clearly
• Open to working in fast-paced, iterative, and collaborative setups. 

Qualifications

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 1 to 3 years of experience in backend Python development.
• Proficiency in FastAPI and RESTful API design.
• Basic understanding of RAG pipelines and LLM-based applications.
• Experience with Git and version control workflows.
• Familiarity with MS SQL and Cosmos DB.
• Understanding of security best practices and RBAC.
• Exposure to DevOps tools, CI/CD, and cloud platforms is a plus.
• Strong communication and problem-solving skills.

Job role

Job Summary:

Sendable is looking for a passionate Python (FastAPI) Engineer with 1–3 years of experience to join our AI/ML-focused product team. You will contribute to the development of backend systems powered by FastAPI, working on RAG (Retrieval-Augmented Generation) pipelines and microservices that support advanced AI/ML applications.Key Responsibilities:

• Design and develop robust microservices using FastAPI and Python.
• Build and enhance RAG pipelines for intelligent data retrieval and generation.
• Develop and maintain efficient REST APIs.
• Use Infrastructure as Code with Bicep to manage cloud infrastructure.
• Integrate RBAC (Role-Based Access Control) mechanisms using tools like Oso.
• Work with MS SQL and Cosmos DB for data storage and management.
• Collaborate with DevOps, AI teams, and frontend engineers.
• Ensure code quality, scalability, and performance through testing and clean architecture.

Must-Have Skills:

• Python (Core + FastAPI)
• REST API Development
• MS SQL / Cosmos DB
• Git
• Authentication & Authorization
• Clean Code Practices
• Problem Solving

Good-to-Have Skills:

• Knowledge of RAG pipelines / LLMs
• Docker, Kubernetes, or CI/CD Tools
• Cloud Platforms (Azure, AWS, GCP)
• Bicep for IaC
• Event-Driven Architecture

Job Title: Full Stack Developer (MERN + Python)

Location: Bangalore

Job Type: Full-time

Experience: 4–8 years

About Miror

Miror is a pioneering FemTech company transforming how midlife women navigate perimenopause and menopause. We offer medically-backed solutions, expert consultations, community engagement, and wellness products to empower women in their health journey. Join us to make a meaningful difference through technology.

Role Overview

·        We are seeking a passionate and experienced Full Stack Developer skilled in MERN stack and Python (Django/Flask) to build and scale high-impact features across our web and mobile platforms. You will collaborate with cross-functional teams to deliver seamless user experiences and robust backend systems.

Key Responsibilities

·        Design, develop, and maintain scalable web applications using MySQL/Postgres, MongoDB, Express.js, React.js, and Node.js

·        Build and manage RESTful APIs and microservices using Python (Django/Flask/FastAPI)

·        Integrate with third-party platforms like OpenAI, WhatsApp APIs (Whapi), Interakt, and Zoho

·        Optimize performance across the frontend and backend

·        Collaborate with product managers, designers, and other developers to deliver high-quality features

·        Ensure security, scalability, and maintainability of code

·        Write clean, reusable, and well-documented code

·        Contribute to DevOps, CI/CD, and server deployment workflows (AWS/Lightsail)

·        Participate in code reviews and mentor junior developers if needed

Required Skills

·        Strong experience with MERN Stack: MongoDB, Express.js, React.js, Node.js

·        Proficiency in Python and web frameworks like Django, Flask, or FastAPI

·        Experience working with REST APIs, JWT/Auth, and WebSockets

·        Good understanding of frontend design systems, state management (Redux/Context), and responsive UI

·        Familiarity with database design and queries (MongoDB, PostgreSQL/MySQL)

·        Experience with Git, Docker, and deployment pipelines

·        Comfortable working in Linux-based environments (e.g., Ubuntu on AWS)

Bonus Skills

·        Experience with AI integrations (e.g., OpenAI, LangChain)

·        Familiarity with WooCommerce, WordPress APIs

·        Experience in chatbot development or WhatsApp API integration

Who You Are

·        You are a problem-solver with a product-first mindset

·        You care about user experience and performance

·        You enjoy working in a fast-paced, collaborative environment

·        You have a growth mindset and are open to learning new technologies

Why Join Us?

·        Work at the intersection of healthcare, community, and technology

·        Directly impact the lives of women across India and beyond

·        Flexible work environment and collaborative team

·        Opportunity to grow with a purpose-driven startup

·         

In you are interested please apply here and drop me a message here in cutshort.

About Us

DAITA is a German AI startup revolutionizing the global textile supply chain by digitizing factory-to-brand workflows. We are building cutting-edge AI-powered SaaS and Agentic Systems that automate order management, production tracking, and compliance — making the supply chain smarter, faster, and more transparent.

Fresh off a $500K pre-seed raise, our passionate team is on the ground in India, collaborating directly with factories and brands to build our MVP and create real-world impact. If you’re excited by the intersection of AI, SaaS, and supply chain innovation, join us to help reshape how textiles move from factory floors to global brands.

Role Overview

We’re seeking a versatile Full-Stack Engineer to join our growing engineering team. You’ll be instrumental in designing and building scalable, secure, and high-performance applications that power our AI-driven platform. Working closely with Founders, ML Engineers, and Pilot Customers, you’ll transform complex AI workflows into intuitive, production-ready features.

What You’ll Do

•⁠ ⁠Design, develop, and deploy backend services, APIs, and microservices powering our platform.

•⁠ ⁠Build responsive, user-friendly frontend applications tailored for factory and brand users.

•⁠ ⁠Integrate AI/ML models and agentic workflows into seamless production environments.

•⁠ ⁠Develop features supporting order parsing, supply chain tracking, compliance, and reporting.

•⁠ ⁠Collaborate cross-functionally to iterate rapidly, test with users, and deliver impactful releases.

•⁠ ⁠Optimize applications for performance, scalability, and cost-efficiency on cloud platforms.

•⁠ ⁠Establish and improve CI/CD pipelines, deployment processes, and engineering best practices.

•⁠ ⁠Write clear documentation and maintain clean, maintainable code.

Required Skills

•⁠ ⁠3–5 years of professional Full-Stack development experience

•⁠ ⁠Strong backend skills with frameworks like Node.js, Python (FastAPI, Django), Go, or similar

•⁠ ⁠Frontend experience with React, Vue.js, Next.js, or similar modern frameworks

•⁠ ⁠Solid knowledge and experience with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis, Neon)

•⁠ ⁠Strong API design skills (REST mandatory; GraphQL a plus)

•⁠ ⁠Containerization expertise with Docker

•⁠ ⁠Container orchestration and management with Kubernetes (including experience with Helm charts, operators, or custom resource definitions)

•⁠ ⁠Cloud deployment and infrastructure experience on AWS, GCP or Azure

•⁠ ⁠Hands-on experience deploying AI/ML models in cloud-native environments (AWS, GCP or Azure) with scalable infrastructure and monitoring.

•⁠ ⁠Experience with managed AI/ML services like AWS SageMaker, GCP Vertex AI, Azure ML, Together.ai, or similar

•⁠ ⁠Experience with CI/CD pipelines and DevOps tools such as Jenkins, GitHub Actions, Terraform, Ansible, or ArgoCD

•⁠ ⁠Familiarity with monitoring, logging, and observability tools like Prometheus, Grafana, ELK stack (Elasticsearch, Logstash, Kibana), or Helicone

Nice-to-have

•⁠ ⁠Experience with TypeScript for full-stack AI SaaS development

•⁠ ⁠Use of modern UI frameworks and tooling like Tailwind CSS

•⁠ ⁠Familiarity with modern AI-first SaaS concepts viz. vector databases for fast ML data retrieval, prompt engineering for LLM integration, integrating with OpenRouter or similar LLM orchestration frameworks etc.

•⁠ ⁠Knowledge of MLOps tools like Kubeflow, MLflow, or Seldon for model lifecycle management.

•⁠ ⁠Background in building data pipelines, real-time analytics, and predictive modeling.

•⁠ ⁠Knowledge of AI-driven security tools and best practices for SaaS compliance.

•⁠ ⁠Proficiency in cloud automation, cost optimization, and DevOps for AI workflows.

•⁠ ⁠Ability to design and implement hyper-personalized, adaptive user experiences.

What We Value

•⁠ ⁠Ownership: You take full responsibility for your work and ship high-quality solutions quickly.

•⁠ ⁠Bias for Action: You’re pragmatic, proactive, and focused on delivering results.

•⁠ ⁠Clear Communication: You articulate ideas, challenges, and solutions effectively across teams.

•⁠ ⁠Collaborative Spirit: You thrive in a cross-functional, distributed team environment.

•⁠ ⁠Customer Focus: You build with empathy for end users and real-world usability.

•⁠ ⁠Curiosity & Adaptability: You embrace learning, experimentation, and pivoting when needed.

•⁠ ⁠Quality Mindset: You write clean, maintainable, and well-tested code.

Why Join DAITA?

•⁠ ⁠Be part of a mission-driven startup transforming a $1+ Trillion global industry.

•⁠ ⁠Work closely with founders and AI experts on cutting-edge technology.

•⁠ ⁠Directly impact real-world supply chains and sustainability.

•⁠ ⁠Grow your skills in AI, SaaS, and supply chain tech in a fast-paced environment.

Responsibilities

• Design and implement advanced solutions utilizing Large Language Models (LLMs).
• Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
• Conduct research and stay informed about the latest developments in generative AI and LLMs.
• Develop and maintain code libraries, tools, and frameworks to support generative AI development.
• Participate in code reviews and contribute to maintaining high code quality standards.
• Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
• Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
• Possess strong analytical and problem-solving skills.
• Demonstrate excellent communication skills and the ability to work effectively in a team environment.

Primary Skills

• Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
• Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and Huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
• Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
• Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.
• Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.
• Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.

·        3 to 5 years of full-stack development experience implementing applications using Python, React.js

·        In-depth knowledge of Python – Data Analytics, NLP and Flask API

§  Experience working in SQL Databases (MySQL/Postgres – min. 2 years)

§  Ability to use Gen AI tools for Productivity.

§  Gen AI for Natural Language processing Use cases – Using ChatGPT 4/Gemini flash or other cutting-edge tools

§  Hands-on exposure in working with messaging systems like RabbitMQ

§  Experience in the end to end and unit testing frameworks (jest/cypress)

§  Experience working in NoSQL Databases like MongoDB

·         Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform.

§  Cloud architectural knowledge of Azure cloud.

§  Proficient understanding of code versioning tools, such as Git, SVN

§  Knowledge of CI/CD (Jenkins/Hudson)

§  Self-organizing & experience working in Agile/Scrum culture

Good to have.

§ Experience working in Angular, Elasticsearch and Redis

§ Understanding accessibility and security compliances

§ Understanding of UI/UX

We are seeking a passionate and knowledgeable Data Science and Data Analyst Trainer to deliver engaging and industry-relevant training programs. The trainer will be responsible for teaching core concepts in data analytics, machine learning, data visualization, and related tools and technologies. The ideal candidate will have hands-on experience in the data domain with 2-5 years and a flair for teaching and mentoring students or working professionals.

We are looking for a dynamic and skilled Data Science and Data Analyst Trainer with 2 to 5 years of hands-on industry and/or teaching experience. The ideal candidate should be able to simplify complex data concepts, mentor aspiring professionals, and deliver effective training programs in data analytics, data science, and business intelligence tools.

We are seeking a dynamic and experienced Data Analytics and Data Science Trainer to deliver high-quality training sessions, mentor learners, and design engaging course content. The ideal candidate will have a strong foundation in statistics, programming, and data visualization tools, and should be passionate about teaching and guiding aspiring professionals.

Desired Competencies (Technical/Behavioral Competency)

Must-Have 1. Experience in working with various ML libraries and packages like Scikit learn, Numpy, Pandas, Tensorflow, Matplotlib, Caffe, etc.

2. Deep Learning Frameworks: PyTorch, spaCy, Keras

3. Deep Learning Architectures: LSTM, CNN, Self-Attention and Transformers

4. Experience in working with Image processing, computer vision is must

5. Designing data science applications, Large Language Models(LLM) , Generative Pre-trained Transformers (GPT), generative AI techniques, Natural Language Processing (NLP), machine learning techniques, Python, Jupyter Notebook, common data science packages (tensorflow, scikit-learn,kerasetc.,.) , LangChain, Flask,FastAPI, prompt engineering.

6. Programming experience in Python

7. Strong written and verbal communications

8. Excellent interpersonal and collaboration skills.

Good-to-Have 1. Experience working with vectored databases and graph representation of documents.

2. Experience with building or maintaining MLOpspipelines.

3. Experience in Cloud computing infrastructures like AWS Sagemaker or Azure ML for implementing ML solutions is preferred.

4. Exposure to Docker, Kubernetes

Duties

About Us:

We are a UK-based conveyancing firm dedicated to transforming property transactions through cutting-edge artificial intelligence. We are seeking a talented Machine Learning Engineer with 1–2 years of experience to join our growing AI team. This role offers a unique opportunity to work on scalable ML systems and Generative AI applications in a dynamic and impactful environment.

Responsibilities:

Design, Build, and Deploy Scalable ML Models

You will be responsible for end-to-end development of machine learning and deep learning models that can be scaled to handle real-world data and use cases. This includes training, testing, validating, and deploying models efficiently in production environments.

Develop NLP-Based Automation Solutions

You'll create natural language processing pipelines that automate tasks such as document understanding, text classification, and summarisation, enabling intelligent handling of property-related documents.

Prototype and Implement Generative AI Tools

Work closely with AI researchers and developers to experiment with and implement Generative AI techniques for tasks like content generation, intelligent suggestions, and workflow automation.

Integrate ML Models with APIs and Tools

Integrate machine learning models with external APIs and internal systems to support business operations and enhance customer service workflows.

Maintain CI/CD for ML Features

Collaborate with DevOps teams to manage CI/CD pipelines that automate testing, validation, and deployment of ML features and updates.

Review, Debug, and Optimise Models

Participate in thorough code reviews and model debugging sessions. Continuously monitor and fine-tune deployed models to improve their performance and reliability.

Cross-Team Communication

Communicate technical concepts effectively across teams, translating complex ML ideas into actionable business value.

·      Design, build, and deploy scalable ML and deep learning models for real-world applications.

·      Develop NLP-based and Gen AI based solutions for automating document understanding, classification, and summarisation.

·      Collaborate with AI researchers and developers to prototype and implement Generative AI tools.

·      Integrate ML and Gen AI models with APIs and internal tools to support business operations.

·      Work with CI/CD pipelines to ensure continuous delivery of ML features and updates.

·      Participate in code reviews, debugging, and performance optimisation of deployed models.

·      Communicate technical concepts effectively across cross-functional teams.

Essentials From Day 1:

Security and Compliance:

         • Ensure ML systems are built with GDPR compliance in mind.

         • Adhere to RBAC policies and maintain secure handling of personal and property         data.

Sandboxing and Risk Management:

         • Use sandboxed environments for testing new ML features.

         • Conduct basic risk analysis for model performance and data bias.

         • Use sandboxed environments for testing and development.

         • Evaluate and mitigate potential risks in model behavior and data pipelines

Qualifications:

·      1–2 years of professional experience in Machine Learning and Deep Learning projects.

·      Proficient in Python, Object-Oriented Programming (OOPs), and Data Structures & Algorithms (DSA).

·      Strong understanding of NLP and its real-world applications.

·      Exposure to building scalable ML systems and deploying models into production.

·      Basic working knowledge of Generative AI techniques and frameworks.

·      Familiarity with CI/CD tools and experience with API-based integration.

·      Excellent analytical thinking and debugging capabilities.

·      Strong interpersonal and communication skills for effective team collaboration.

Hands-on knowledge in machine learning, deep learning, TensorFlow, Python, NLP 2. Stay up to date on the latest AI emergences relevant to the business domain. 3. Conduct research and development processes for AI strategies. 4. Experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. 5. Experience with transformer models such as BERT, GPT, RoBERTa, etc, and a solid understanding of their underlying principles is a plus

Good-to-Have 1. Have knowledge of software development methodologies, such as Agile or Scrum 2. Have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. 3. Have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face 4. Ensure the quality of code and applications through testing, peer review, and code analysis. 5. Root cause analysis and bugs correction 6. Familiarity with version control systems, preferably Git. 7. Experience with building or maintaining cloud-native applications. 8. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is Plus

SN Role descriptions / Expectations from the Role

1 Design, Develop and configure GenAI applications to meet the business requirements.

2 Optimizing existing generative AI models for improved performance, scalability, and efficiency

3 Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation

Job Overview:

We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI, including LLM fine-tuning and prompt engineering. This role requires hands-on expertise across NLP, Computer Vision, and AI agent-based systems, with the ability to build, deploy, and optimize scalable AI solutions using modern tools and frameworks.

Required Skills & Qualifications:

• Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
• 5+ years of hands-on experience in AI/ML solution development.
• Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT.
• Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG).
• Proficient in key AI libraries and frameworks:
• LLMs & GenAI: Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers
• NLP: SpaCy, NLTK.
• Vision: OpenCV, MMDetection, YOLOv5/v8, Detectron2
• MLOps: MLflow, FastAPI, Docker, Git
• Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation.
• Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure.
• Strong communication skills and ability to convert business problems into technical solutions.

Preferred Qualifications:

• Experience building multimodal systems (text + image, etc.)
• Practical experience with agent frameworks for autonomous or goal-directed AI.
• Familiarity with quantization, distillation, or knowledge transfer for efficient model deployment.

Key Responsibilities:

• Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications.
• Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality.
• Build NLP solutions for Q&A, summarization, information extraction, text classification, and more.
• Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks.
• Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines.
• Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features.
• Optimize models for performance, cost-efficiency, and low latency in production.
• Continuously evaluate new AI research, tools, and frameworks and apply them where relevant.
• Mentor junior AI engineers and contribute to internal AI best practices and documentation.

We are looking for a skilled and detail-oriented Data Analyst – Data Scientist (DA-DS) to join our team. This hybrid role involves analyzing large datasets to extract insights, build predictive models, and support data-driven decision-making. You’ll work closely with cross-functional teams to transform raw data into actionable insights using statistical techniques, data visualization, and machine learning tools.

As a senior software engineer (AI/ML), you will play a key role in shaping our AI-powered visual search engine for fashion and e-commerce. Responsibilities include solving complex deep-tech challenges to build scalable AI/ML solutions, leading backend development for performance and scalability, and architecting and integrating software aligned with product strategy and innovation goals. You will collaborate with cross-functional teams to address real consumer problems and build robust AI/ML pipelines to drive product innovation.

What we’re looking for:

• Design and deploy advanced machine learning models in computer vision, including object detection & similarity matching
• Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready with MLOps
• 3–5 years of Python experience (Golang is a plus), with expertise in concurrency, FastAPI, restful APIs, and microservices.
• proficiency in PostgreSQL/MongoDB, cloud platforms (AWS/GCP/Azure), and containerization tools like Docker/Kubernetes.
• Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices
• Strong experience in asynchronous programming, CI/CD pipelines, and version control (git). Excellent problem-solving and communication skills are essential.

What we offer:

• Competitive salary and ESOPs, along with HackerHouse living: live and work with a Gen Z team in a 7BHK house on MG Road, Gurgaon.
• hands-on experience in shipping world-class products, professional development opportunities, flexible hours, and a collaborative, supportive culture.

Role : AIML Engineer

Location : Madurai

Experience : 5 to 10 Yrs

Mandatory Skills : AIML, Python, SQL, ML Models, PyTorch, Pandas, Docker, AWS

Language: Python

DBs : SQL

Core Libraries:

Time Series & Forecasting: pmdarima, statsmodels, Prophet, GluonTS, NeuralProphet

SOTA ML : ML Models, Boosting & Ensemble models etc.

Explainability : Shap / Lime

Required skills:

• Deep Learning: PyTorch, PyTorch Forecasting,
• Data Processing: Pandas, NumPy, Polars (optional), PySpark
• Hyperparameter Tuning: Optuna, Amazon SageMaker Automatic Model Tuning
• Deployment & MLOps: Batch & Realtime with API endpoints, MLFlow
• Serving: TorchServe, Sagemaker endpoints / batch
• Containerization: Docker
• Orchestration & Pipelines: AWS Step Functions, AWS SageMaker Pipelines

AWS Services:

• SageMaker (Training, Inference, Tuning)
• S3 (Data Storage)
• CloudWatch (Monitoring)
• Lambda (Trigger-based Inference)
• ECR, ECS or Fargate (Container Hosting)

We are building an advanced, AI-driven multi-agent software system designed to revolutionize task automation and code generation. This is a futuristic AI platform capable of:

✅ Real-time self-coding based on tasks  

✅ Autonomous multi-agent collaboration  

✅ AI-powered decision-making  

✅ Cross-platform compatibility (Desktop, Web, Mobile)  

We are hiring a highly skilled **AI Engineer & Full-Stack Developer** based in India, with a strong background in AI/ML, multi-agent architecture, and scalable, production-grade software development.

### Responsibilities:

- Build and maintain a multi-agent AI system (AutoGPT, BabyAGI, MetaGPT concepts)  

- Integrate large language models (GPT-4o, Claude, open-source LLMs)  

- Develop full-stack components (Backend: Python, FastAPI/Flask, Frontend: React/Next.js)  

- Work on real-time task execution pipelines  

- Build cross-platform apps using Electron or Flutter  

- Implement Redis, Vector databases, scalable APIs  

- Guide the architecture of autonomous, self-coding AI systems  

### Must-Have Skills:

- Python (advanced, AI applications)  

- AI/ML experience, including multi-agent orchestration  

- LLM integration knowledge  

- Full-stack development: React or Next.js  

- Redis, Vector Databases (e.g., Pinecone, FAISS)  

- Real-time applications (websockets, event-driven)  

- Cloud deployment (AWS, GCP)  

### Good to Have:

- Experience with code-generation AI models (Codex, GPT-4o coding abilities)  

- Microservices and secure system design  

- Knowledge of AI for workflow automation and productivity tools  

Join us to work on cutting-edge AI technology that builds the future of autonomous software.

Job Overview

We are seeking an agile AI Engineer with a strong focus on both AI engineering and SaaS product development in a 0-1

product environment. This role is perfect for a candidate skilled in building and iterating quickly, embracing a fail fast

approach to bring innovative AI solutions to market rapidly. You will be responsible for designing, developing, and

deploying SaaS products using advanced Large Language Models (LLMs) such as Meta, Azure OpenAI, Claude, and Mistral,

while ensuring secure, scalable, and high-performance architecture. Your ability to adapt, iterate, and deliver in fast-

paced environments is critical.

Responsibilities

 Lead the design, development, and deployment of SaaS products leveraging LLMs, including platforms

like Meta, Azure OpenAI, Claude, and Mistral.

 Support product lifecycle, from conceptualization to deployment, ensuring seamless integration of AI

models with business requirements and user needs.

 Build secure, scalable, and efficient SaaS products that embody robust data management and comply

with security and governance standards.

 Collaborate closely with product management, and other stakeholders to align AI-driven SaaS solutions

with business strategies and customer expectations.

 Fine-tune AI models using custom instructions to tailor them to specific use cases and optimize

performance through techniques like quantization and model tuning.

 Architect AI deployment strategies using cloud-agnostic platforms (AWS, Azure, Google Cloud), ensuring

cost optimization while maintaining performance and scalability.

 Apply retrieval-augmented generation (RAG) techniques to build AI models that provide contextually

accurate and relevant outputs.

 Build the integration of APIs and third-party services into the SaaS ecosystem, ensuring robust and

flexible product architecture.

 Monitor product performance post-launch, iterating and improving models and infrastructure to

enhance user experience and scalability.

 Stay current with AI advancements, SaaS development trends, and cloud technology to apply innovative

solutions in product development.

Qualifications

 Bachelor’s degree or equivalent in Information Systems, Computer Science, or related fields.

 6+ years of experience in product development, with at least 2 years focused on AI-based SaaS

products.

 Demonstrated experience in leading the development of SaaS products, from ideation to deployment,

with a focus on AI-driven features.

 Hands-on experience with LLMs (Meta, Azure OpenAI, Claude, Mistral) and SaaS platforms.

 Proven ability to build secure, scalable, and compliant SaaS solutions, integrating AI with cloud-based

services (AWS, Azure, Google Cloud).

 Strong experience with RAG model techniques and fine-tuning AI models for business-specific needs.

 Proficiency in AI engineering, including machine learning algorithms, deep learning architectures (e.g.,

CNNs, RNNs, Transformers), and integrating models into SaaS environments.

 Solid understanding of SaaS product lifecycle management, including customer-focused design,

product-market fit, and post-launch optimization.

 Excellent communication and collaboration skills, with the ability to work cross-functionally and drive

SaaS product success.

 Knowledge of cost-optimized AI deployment and cloud infrastructure, focusing on scalability and

performance.

About the CryptoXpress Partner Program

Earn lifetime income just by liking posts, posting memes, art, simple threads, engaging on Twitter, Quora, Reddit, or Instagram, referral signups, commission from transactions like flight, hotel, trade, gift card etc., 

(Apply link at the bottom)

More Details:

• Student Partner Program - https://cryptoxpress.com/student-partner-program
• Ambassador Program - https://cryptoxpressambassadors.com

CryptoXpress has built two powerful tracks to help students gain experience, earn income, and launch real careers:

🌱 Growth Partner: Bring in new users, grow the network, and earn lifetime income from your referrals' transactions like trades, investments, flight/hotel/gift card purchases.

🎯 CX Ambassador: Complete creative tasks, support the brand, and get paid by liking posts, creating simple threads, memes, art, sharing your experience, and engaging on Twitter, Quora, Reddit, or Instagram.

Participants will be rewarded with payments, internship certificates, mentorship, certified Web3 learning and career opportunities. 

About the Role

We're looking for an AI Engineer to help CryptoXpress automate the validation of user-submitted content from our Student Partner and Ambassador Programs. Your mission: build intelligent systems that can detect fake submissions, verify social media links, classify content formats, and flag anything suspicious - freeing up our moderators and improving scale.

Key Responsibilities

• Design and deploy lightweight AI models to classify memes, posts, videos, etc.
• Build logic to verify if social content was posted by the actual user (handle matching, metadata extraction)
• Create detection rules or classifiers to flag bot-like or duplicate behavior
• Integrate AI outputs into our reward & moderation flows
• Collaborate with frontend/backend engineers to ensure a seamless experience

Skills & Qualifications

• Proficiency in Python with experience in NLP, Vision, or Transformer-based models
• Experience with content classification, user verification, or social scraping
• Knowledge of tools like LangChain, Pinecone, or LLM orchestration (bonus)
• Familiar with Reddit, Twitter, Quora APIs or UGC datasets

Join us and play a key role in driving the growth of CryptoXpress in the cryptocurrency space!

Pro Tip: Tips for Application Success

• Please fill out the application below
• Explore CryptoXpress before applying, take 2 minutes to download and try the app so you understand what we're building
• Show your enthusiasm for crypto, travel, and digital innovation
• Mention any self-learning initiatives or personal crypto experiments
• Be honest about what you don't know - we value growth mindsets

How to Apply:

Interested candidates must complete the application form at 

https://forms.gle/CCaAvS6yLE92XAzU6

Role: Techno-Creative Post-Production Intern (Fresher)

We’re looking for a tech-savvy, creative fresher who loves video, audio, language, and pop culture. If syncing dialogues, experimenting with AI tools, and chasing audio-visual perfection excite you — this role is for you.

What You’ll Do:

• Review AI-dubbed videos for sync, tone, and accuracy

• Translate/adapt dialogues across English + 1 Indian language

• Adjust pitch, emotion, and AV timing

• Work with tech + creative teams to refine workflows

• Explore tools like ElevenLabs, Azure & open-source dubbing tech

You Are:

• Fluent in English + 1 Indian regional language

• Detail-obsessed and creatively curious

• Excited by tech, dubbing, editing, acting, or gaming

Freshers welcome. Passion matters most.

AccioJob is conducting a Walk-In Hiring Drive with Atomic Loops for the position of AI/ML Developer Intern.

To apply, register, and select your slot here: https://go.acciojob.com/E8wPb8

Required Skills: Python, AI, Prompting, ML understanding

Eligibility: ALL

Degree: ALL

Branch: ALL

Graduation Year: 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026

Work Details:

• Work Location: Pune (Onsite)
• CTC: 4 LPA to 5 LPA

Evaluation Process:

Round 1: Offline Assessment at AccioJob Pune Centre

Further Rounds (for shortlisted candidates only):

Profile & Background Screening Round, Company Side Process

Company Side Process

2 rounds will be for the intern role, and 3 rounds will be for the full-time role (Virtual or Face-to-Face)

Important Note: Bring your laptop & earphones for the test.

Register here: https://go.acciojob.com/E8wPb8

Brudite is an IT Training and Services company shaping the future of technology with Fortune 500 clients. We specialize in empowering young engineers to achieve their dreams through cutting-edge training, innovative products, and comprehensive services.

Proudly registered with iStart Rajasthan and Startup India, we are supported by industry leaders like NVIDIA and AWS.

Roles and Responsibilities - 

• A can-do attitude to new challenges.
• Strong understanding of computer science fundamentals, including operating systems, Databases, and Networking.
• Knowledge of Python or any other programming language.
• Basic knowledge of Cloud Computing(AWS/Azure/GCP) will be a Plus.
• Basic Knowledge of Any Front-end Framework will be a Plus.
• We operate in a fast-paced, startup-like environment, so the ability to work in a dynamic, agile environment is essential.
• Strong written and verbal communication skills are essential for this role. You'll need to communicate with clients, team members, and stakeholders.
• Ability to learn and adapt to new technology trends and a curiosity to learn are essential

About Us

Alfred Capital - Alfred Capital is a next-generation on-chain proprietary quantitative trading technology provider, pioneering fully autonomous algorithmic systems that reshape trading and capital allocation in decentralized finance. 

As a sister company of Deqode — a 400+ person blockchain innovation powerhouse — we operate at the cutting edge of quant research, distributed infrastructure, and high-frequency execution.

What We Build

• Alpha Discovery via On‑Chain Intelligence — Developing trading signals using blockchain data, CEX/DEX markets, and protocol mechanics.
• DeFi-Native Execution Agents — Automated systems that execute trades across decentralized platforms.
• ML-Augmented Infrastructure — Machine learning pipelines for real-time prediction, execution heuristics, and anomaly detection.
• High-Throughput Systems — Resilient, low-latency engines that operate 24/7 across EVM and non-EVM chains tuned for high-frequency trading (HFT) and real-time response
• Data-Driven MEV Analysis & Strategy — We analyze mempools, order flow, and validator behaviors to identify and capture MEV opportunities ethically—powering strategies that interact deeply with the mechanics of block production and inclusion.

Evaluation Process

• HR Discussion – A brief conversation to understand your motivation and alignment with the role.
• Initial Technical Interview – A quick round focused on fundamentals and problem-solving approach.
• Take-Home Assignment – Assesses research ability, learning agility, and structured thinking.
• Assignment Presentation – Deep-dive into your solution, design choices, and technical reasoning.
• Final Interview – A concluding round to explore your background, interests, and team fit in depth.
• Optional Interview – In specific cases, an additional round may be scheduled to clarify certain aspects or conduct further assessment before making a final decision.

Blockchain Data & ML Engineer

As a Blockchain Data & ML Engineer, you’ll work on ingesting and modeling on-chain behavior, building scalable data pipelines, and designing systems that support intelligent, autonomous market interaction.

What You’ll Work On

• Build and maintain ETL pipelines for ingesting and processing blockchain data.
• Assist in designing, training, and validating machine learning models for prediction and anomaly detection.
• Evaluate model performance, tune hyperparameters, and document experimental results.
• Develop monitoring tools to track model accuracy, data drift, and system health.
• Collaborate with infrastructure and execution teams to integrate ML components into production systems.
• Design and maintain databases and storage systems to efficiently manage large-scale datasets.

Ideal Traits

• Strong in data structures, algorithms, and core CS fundamentals.
• Proficiency in any programming language
• Curiosity about how blockchain systems and crypto markets work under the hood.
• Self-motivated, eager to experiment and learn in a dynamic environment.

Bonus Points For

• Hands-on experience with pandas, numpy, scikit-learn, or PyTorch.
• Side projects involving automated ML workflows, ETL pipelines, or crypto protocols.
• Participation in hackathons or open-source contributions.

What You’ll Gain

• Cutting-Edge Tech Stack: You'll work on modern infrastructure and stay up to date with the latest trends in technology.
• Idea-Driven Culture: We welcome and encourage fresh ideas. Your input is valued, and you're empowered to make an impact from day one.
• Ownership & Autonomy: You’ll have end-to-end ownership of projects. We trust our team and give them the freedom to make meaningful decisions.
• Impact-Focused: Your work won’t be buried under bureaucracy. You’ll see it go live and make a difference in days, not quarters

What We Value:

• Craftsmanship over shortcuts: We appreciate engineers who take the time to understand the problem deeply and build durable solutions—not just quick fixes.
• Depth over haste: If you're the kind of person who enjoys going one level deeper to really "get" how something works, you'll thrive here.
• Invested mindset: We're looking for people who don't just punch tickets, but care about the long-term success of the systems they build.
• Curiosity with follow-through: We admire those who take the time to explore and validate new ideas, not just skim the surface.

Compensation:

• INR 6 - 12 LPA
• Performance Bonuses: Linked to contribution, delivery, and impact.

Technical Skills – Must have  

 Lead the design and development of AI-driven test automation frameworks and solutions.

 Collaborate with stakeholders (e.g., product managers, developers, data scientists) to understand testing requirements and identify areas where AI automation can be effectively implemented.

 Develop and implement test automation strategies for AI-based systems, encompassing various aspects like data generation, model testing, and performance evaluation.

 Evaluate and select appropriate tools and technologies for AI test automation, including AI frameworks, testing tools, and automation platforms.

 Define and implement best practices for AI test automation, covering areas like code standards, test case design, test data management, and ethical considerations.

 Lead and mentor a team of test automation engineers in designing, developing, and executing AI test automation solutions.

 Collaborate with development teams to ensure the testability of AI models and systems, providing guidance and feedback throughout the development lifecycle.

 Analyze test results and identify areas for improvement in the AI automation process, continuously optimizing testing effectiveness and efficiency.

 Stay up-to-date with the latest advancements and trends in AI and automation technologies, actively adapting and implementing new knowledge to enhance testing capabilities.

 Knowledge in Generative AI and Conversational AI for implementation in test automation strategies is highly desirable.

 Proficiency in programming languages commonly used in AI, such as Python, Java, or R.

 Knowledge on AI frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.

 Familiarity with testing methodologies and practices, including Agile and DevOps.

 Working experience on Python/Java and Selenium also knowledge in prompt engineering.

AI-Native Full-Stack Engineer

Location: Pune, India (Onsite)

Experience: 2–5 years

Team: Engineering

If you're a fast-moving full-stack engineer with sharp problem-solving skills, deep web dev know-how, and a passion for using AI to ship smarter and faster — you might’ve just found your dream role.

About FlytBase

At FlytBase, we’re not just creating a product — we’re on a zero-to-one journey, building a whole new global category that’s never existed before.

We’re on a mission to unlock the world’s third dimension with fully autonomous drones. That means solving problems from first principles, embracing bold experimentation, and pushing the boundaries of what’s possible.

If you’re bored of cookie-cutter playbooks and ready for something fresh, exciting (and yes, involving drones), this is your place.

Don’t believe it? Challenge us — we’d love to show you why we’re so confident in what we’re building.

What You’ll Do

• Build from zero- Turn raw ideas into high-impact features — fast.
• Engineer with AI- Use AI to prototype, ship, debug, and iterate at blinding speed.
• Move across the stack- Work fluidly across UI, APIs, backend, services, and deployment.
• Think like a founder - You won’t be assigned tasks — you’ll own outcomes.

You’re a Great Fit If You...

• Are AI-native - You treat AI as a superpower, not a novelty.
• Ship relentlessly -You can out-ship most with one hand tied.
• Think problem-first - You pick tools for results — not popularity.
• Hate hand-holding - You own your sprints, your bugs, and your outcomes.
• Are built different - You don’t want a job. You want war. Legacy. Impact.

Our Stack

React? Rust? Firebase?

We don’t care what you’ve used — we care if you can:

• Learn fast
• Build faster
• Adapt even faster

You’ll use AI tools to go 5x faster than the average engineer — and still want to go faster.

Apply Now: https://lnk.ink/5uP0H

Your Role: As a Product Marketer at LearnTube, you will be the bridge between product, growth, and the user. You’ll turn insight into action by understanding our users deeply, translating product value into compelling narratives, and designing experiments that move key metrics. You’ll own the marketing funnel, craft sharp positioning, drive adoption, and scale revenue-driving campaigns across channels.

You’ll work directly with the founders to bring new features, journeys, and growth loops to life — combining storytelling, data, and execution. You’ll be expected to take ownership from day one and operate at the intersection of product, growth, and GTM — turning insight into impact at speed.

What You'll Do:

• Own and execute growth experiments across the entire funnel — from onboarding to retention and referrals
• Run paid marketing and performance campaigns with a clear eye on ROI and CAC:LTV
• Write high-converting, user-first copy across landing pages, WhatsApp, and in-product journeys
• Collaborate with product, content, and sales teams to align GTM, messaging, and conversion strategy
• Use AI tools to scale creative production, personalize communication, and automate campaigns
• Analyze funnel and cohort data to identify drop-offs, run rapid A/B tests, and double down on what works
• Bring user insights into growth — through qualitative feedback, user calls, and market research

What Makes You a Great Fit:

• You’re a doer with a bias to action — you can go from insight → plan → execution without waiting for hand-holding.
• You’ve worked in growth/product marketing roles at high-velocity B2C startups and understand funnel obsession.
• You’re sharp with copy — you write like a human, not a template, and can persuade with clarity.
• You have a strong understanding of users — especially the aspiring professionals in India’s Tier 1–3 landscape.
• You understand how AI works, and how to apply tools like ChatGPT, Notion AI, Synthesia, etc. in your daily growth playbook.
• You thrive in ambiguity, love solving problems, and think like a mini-founder, not just a marketer.
• Bonus: Experience in ed-tech, career-tech, or consumer internet is a huge plus.

About Us: At LearnTube, we’re on a mission to make learning accessible, affordable, and engaging for millions of learners globally. Using Generative AI, we transform scattered internet content into dynamic, goal-driven courses with:

• AI-powered tutors that teach live, solve doubts in real time, and provide instant feedback.
• Seamless delivery through WhatsApp, mobile apps, and the web, with over 2 million+ learners across 64 countries.

Meet the Founders: LearnTube was founded by Shronit Ladhani and Gargi Ruparelia, who bring deep expertise in product development and ed-tech innovation. Shronit, a TEDx speaker, is an advocate for disrupting traditional learning, while Gargi’s focus on scalable AI solutions drives our mission to build an AI-first company that empowers learners to achieve career outcomes.

We’re proud to be recognized by Google as a Top 20 AI Startup and are part of their 2024 Startups Accelerator: AI First Program, giving us access to cutting-edge technology, credits, and mentorship from industry leaders.

Why Join Us?

• Unparalleled Growth: Work in an AI-first startup in hyper-growth mode, accelerating your career.
• High Ownership, High Impact: Take full ownership of your function and work directly with founders.
• Culture of Excellence: Be surrounded by a high-caliber, ambitious team that thrives on results.
• Fast-Paced, No Bureaucracy: We move fast, value accountability, and celebrate action.
• Mission-Driven Work: Help shape the future of learning and upskilling in India.

Job description

Brief Description

One of our client is looking for a Lead Engineer in Bhopal with 5–10 years of experience. Candidates must have strong expertise in Python. Additional experience in AI/ML, MERN Stack, or Full Stack Development is a plus.

Job Description

We are seeking a highly skilled and experienced Lead Engineer – Python AI to join our dynamic team. The ideal candidate will have a strong background in AI technologies, MERN stack, and Python full stack development, with a passion for building scalable and intelligent systems. This role involves leading development efforts, mentoring junior engineers, and collaborating with cross-functional teams to deliver cutting-edge AI-driven solutions.

Key Responsibilities:

• Lead the design, development, and deployment of AI-powered applications using Python and MERN stack.
• Architect scalable and maintainable full-stack solutions integrating AI models and data pipelines.
• Collaborate with data scientists and product teams to integrate machine learning models into production systems.
• Ensure code quality, performance, and security across all layers of the application.
• Mentor and guide junior developers, fostering a culture of technical excellence.
• Stay updated with emerging technologies in AI, data engineering, and full-stack development.
• Participate in code reviews, sprint planning, and technical discussions.

Required Skills:

• 5+ years of experience in software development with a strong focus on Python full stack and MERN stack.
• Hands-on experience with AI technologies, machine learning frameworks (e.g., TensorFlow, PyTorch), and data processing tools.
• Proficiency in MongoDB, Express.js, React.js, Node.js.
• Strong understanding of RESTful APIs, microservices architecture, and cloud platforms (AWS, Azure, GCP).
• Experience with CI/CD pipelines, containerization (Docker), and version control (Git).
• Excellent problem-solving skills and ability to work in a fast-paced environment.

Education Qualification:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Certifications in AI/ML or Full Stack Development are a plus.

Education:

•Bachelor’s degree in Computer Science, Data Science, Information Technology or a related field

•Relevant certifications in data engineering or AI/cloud platforms (preferred)

Experience:

•8+ years of experience in AI platform architecture, deployment, and optimization, ideally within large-scale telecom environments

•Strong background in designing enterprise-scale AI platforms integrating with IT and cloud environments

•Hands on experience in AI platform development, API management, or MLOps practice

•Experience of working in a dynamic, fast-paced environment

Skills :

•Proficiency in AI and machine learning frameworks (TensorFlow, PyTorch, Keras)

•Proficient with public cloud platforms (AWS, Azure, Google Cloud) for AI and telecom solutions

•Experience in containerization and orchestration tools (e.g. : Docker, Kubernetes) for AI deployment

•Strong understanding of telecom networks (5G, IoT, edge computing) and how AI can optimize them

•In-depth Knowledge of security protocols in AI and telecom, including data privacy, encryption, and secure access management

About Us:

MyOperator and Heyo are India’s leading conversational platforms empowering 40,000+ businesses with Call and WhatsApp-based engagement. We’re a product-led SaaS company scaling rapidly, and we’re looking for a skilled Software Developer to help build the next generation of scalable backend systems.

Role Overview:

We’re seeking a passionate Python Developer with strong experience in backend development and cloud infrastructure. This role involves building scalable microservices, integrating AI tools like LangChain/LLMs, and optimizing backend performance for high-growth B2B products.

Key Responsibilities:

• Develop robust backend services using Python, Django, and FastAPI
• Design and maintain scalable microservices architecture
• Integrate LangChain/LLMs into AI-powered features
• Write clean, tested, and maintainable code with pytest
• Manage and optimize databases (MySQL/Postgres)
• Deploy and monitor services on AWS
• Collaborate across teams to define APIs, data flows, and system architecture

Must-Have Skills:

• Python and Django
• MySQL or Postgres
• Microservices architecture
• AWS (EC2, RDS, Lambda, etc.)
• Unit testing using pytest
• LangChain or Large Language Models (LLM)
• Strong grasp of Data Structures & Algorithms
• AI coding assistant tools (e.g., Chat GPT & Gemini)

Good to Have:

• MongoDB or ElasticSearch
• Go or PHP
• FastAPI
• React, Bootstrap (basic frontend support)
• ETL pipelines, Jenkins, Terraform

Why Join Us?

• 100% Remote role with a collaborative team
• Work on AI-first, high-scale SaaS products
• Drive real impact in a fast-growing tech company
• Ownership and growth from day one

Position – Python Developer

Location – Navi Mumbai

Who are we

Based out of IIT Bombay, HaystackAnalytics is a HealthTech company creating clinical genomics products, which enable diagnostic labs and hospitals to offer accurate and personalized diagnostics. Supported by India's most respected science agencies (DST, BIRAC, DBT), we created and launched a portfolio of products to offer genomics in infectious diseases. Our genomics-based diagnostic solution for Tuberculosis was recognized as one of the top innovations supported by BIRAC in the past 10 years, and was launched by the Prime Minister of India in the BIRAC Showcase event in Delhi, 2022.

Objectives of this Role:

• Design and implement efficient, scalable backend services using Python.
• Work closely with healthcare domain experts to create innovative and accurate diagnostics solutions.
• Build APIs, services, and scripts to support data processing pipelines and front-end applications.
• Automate recurring tasks and ensure robust integration with cloud services.
• Maintain high standards of software quality and performance using clean coding principles and testing practices.
• Collaborate within the team to upskill and unblock each other for faster and better outcomes.

Primary Skills – Python Development

• Proficient in Python 3 and its ecosystem
• Frameworks: Flask / Django / FastAPI
• RESTful API development
• Understanding of OOPs and SOLID design principles
• Asynchronous programming (asyncio, aiohttp)
• Experience with task queues (Celery, RQ)
• Rust programming experience for systems-level or performance-critical components

Testing & Automation

• Unit Testing: PyTest / unittest
• Automation tools: Ansible / Terraform (good to have)
• CI/CD pipelines

DevOps & Cloud

• Docker, Kubernetes (basic knowledge expected)
• Cloud platforms: AWS / Azure / GCP
• GIT and GitOps workflows
• Familiarity with containerized deployment & serverless architecture

Bonus Skills

• Data handling libraries: Pandas / NumPy
• Experience with scripting: Bash / PowerShell
• Functional programming concepts
• Familiarity with front-end integration (REST API usage, JSON handling)

 Other Skills

• Innovation and thought leadership
• Interest in learning new tools, languages, workflows
• Strong communication and collaboration skills
• Basic understanding of UI/UX principles

To know more about us – https://haystackanalytics.in