50+ Artificial Intelligence (AI) Jobs in India

Company Description

I Vision Infotech is a comprehensive IT company delivering high-quality, cost-effective, and reliable web and e-commerce solutions. Founded in 2011 and located in India, we serve both domestic and international clients, including those from the USA, Malaysia, Australia, Canada, and the United Kingdom. Our services encompass web design, development, e-commerce, and mobile app development across platforms like Android, iOS, Windows, and Blackberry. Our aim is to provide top-notch service that meets and exceeds client expectations.

About the Internship Program: AI/ML Paid Internship

This Paid AI/ML Internship Program is designed for students, freshers, and career switchers who want to start a strong career in Artificial Intelligence (AI) and Machine Learning (ML). You will gain hands-on experience through real-time projects, practical assignments, and guidance from industry professionals.

What You Will Learn

1. Core Foundations

• Python Basics for AI/ML
• Data Preprocessing & Cleaning
• Exploratory Data Analysis (EDA)

2. Machine Learning

• Supervised Learning (Regression, Classification)
• Unsupervised Learning (Clustering, Dimensionality Reduction)
• Model Evaluation & Tuning (Accuracy, Precision, Recall, F1 Score)

3. Artificial Intelligence & Deep Learning

• Neural Networks Basics
• Convolutional Neural Networks (CNN) – Image Processing
• Recurrent Neural Networks (RNN) – Sequential Data
• Natural Language Processing (NLP) – Text Analysis

4. Tools & Technologies

• Python 3.x
• Libraries: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn
• TensorFlow / PyTorch
• Jupyter Notebook / Google Colab
• Git & GitHub (Version Control)

5. Real-Time Projects

• Spam Mail / Fake News Detection
• Image Recognition (AI Vision Project)
• Chatbot Development using NLP
• Predictive Analytics (Stock / Sales Forecasting)
• Sentiment Analysis

Internship Highlights

• 100% Practical & Hands-on Learning
• Industry-Level AI/ML Projects
• Internship Certificate (3 Months)
• Resume Building + GitHub Portfolio Support
• Mock Interviews & Placement Assistance

Eligibility Criteria

• BCA / MCA / B.Sc IT / M.Sc IT / Diploma / B.E / B.Tech
• No prior AI/ML experience required – only basic computer knowledge preferred
• Strong passion to build a career in AI/ML / Data Science

Important Notes

• This is a Paid Internship Program with a Job-Oriented Structure.
• Internship Fees to be paid before the batch starts.
• Limited Seats – First-Come, First-Served.
• Only for serious learners who want to build a career in AI/ML.

About Us:

MyOperator is India’s leading Cloud Telephony platform, empowering 40,000+ businesses to communicate smarter. We’re now expanding into Conversational AI and Chatbots, aiming to build intelligent customer engagement solutions from the ground up. We're seeking a Product Manager with hands-on experience in building AI-driven chatbot products who can lead this initiative from zero to launch.

Key Responsibilities:

• Chatbot Product Ownership: Lead the end-to-end development of our chatbot product, from ideation, architecture definition, and MVP launch to scale-up.
• Product Strategy & Roadmap: Define and own the chatbot product vision and roadmap aligned with business goals and customer needs.
• Requirement Documentation: Draft comprehensive Product Requirement Documents (PRDs) detailing user stories, workflows, and technical integrations (LLMs, APIs).
• Conversation Design & UX: Collaborate with UX teams to craft intuitive conversational flows and ensure a seamless user experience across WhatsApp, Web, and App.
• AI/ML Collaboration: Work closely with Data Science and Engineering teams to integrate LLMs (OpenAI, Vertex AI) for dynamic, context-aware interactions.
• Data-Driven Decisions: Utilize tools like Mixpanel, Google Analytics, and bot analytics platforms to monitor user behavior, define success metrics, and iterate features.
• Cross-functional Leadership: Partner with Tech, Sales, Marketing, and Customer Success teams to align product development with market demands and go-to-market strategy.
• Project Management: Drive agile processes using Jira, ensuring timely sprint deliveries, backlog grooming, and resolution of blockers.

Qualifications:

• Experience: 2+ years in Product Management, with direct experience in chatbot or conversational AI product development.
• AI & LLM Knowledge: Strong understanding of Large Language Models (LLMs), NLP technologies, and experience integrating AI-powered chatbots.
• Platform Ecosystem: Exposure to WhatsApp Business API ecosystem and conversational commerce tools.
• Mobile & Web Product Understanding: Ability to oversee chatbot deployment across mobile apps and web platforms.
• Analytical Skills: Proficient in product analytics using Mixpanel, Google Analytics, or Adobe Analytics.
• Project Management Tools: Experience with Jira or similar agile project management tools.
• Education: Bachelor’s degree in Computer Science, Engineering, or Business; MBA is a plus.
• Soft Skills: Strong problem-solving skills, data-driven mindset, excellent communication, and collaborative leadership.

Why Join Us?

• Lead the Chatbot Product from zero-to-one in a fast-growing SaaS environment.
• Work with a cross-functional, high-impact team on cutting-edge AI solutions.
• Career growth and leadership opportunities in Conversational AI domain.
• Competitive compensation, remote-first work culture, and collaborative environment.

Job Title: Generative AI Engineer

 Company: EaseMyTrip.com

 Location: On site - Gurgaon (Sec - 32)

 Experience: 5+ Years

About the Role

EaseMyTrip.com is looking for a talented Generative AI Engineer to help build the future of travel technology. You will work at the intersection of AI, backend systems, and frontend interfaces, crafting intelligent solutions using LLMs, scalable Python APIs, and interactive UIs with React JS.

Join us to create conversational travel assistants, automate customer experiences, and deliver cutting-edge features powered by GPT-4, LangChain, and more.

 Key Responsibilities

 Build and integrate Large Language Models (LLMs) like GPT-4, Claude, or Mistral into real-world travel solutions.

 Design prompt engineering pipelines and implement RAG (Retrieval-Augmented Generation) workflows.

 Develop and maintain secure, scalable backend services using FastAPI or Django.

 Create dynamic frontend interfaces and dashboards using React JS

 Deploy AI models and services on AWS, GCP, or Azure with containerization and CI/CD.

 Implement NLP features such as entity recognition, summarization, and sentiment analysis.

 Work with relational and NoSQL databases like PostgreSQL or MongoDB.

 Collaborate with cross-functional teams including design, product, and data.

 Requirements

 5+ years of backend development experience, with at least 2 years working with LLMs/NLP

Strong Python programming skills

Hands-on experience with React JS for front-end development

 Experience building APIs using FastAPI or Django

 Familiarity with LangChain, Hugging Face, and OpenAI APIs

 Knowledge of cloud platforms and serverless architecture

 Problem-solving mindset and a deep passion for AI innovation.

Certa (getcerta.com) is a Silicon Valley-based startup automating the vendor, supplier, and stakeholder onboarding processes for businesses globally. Serving Fortune 500 and Fortune 1000 clients, Certa's engineering team tackles expansive and deeply technical challenges, driving innovation in business processes across industries.

Location: Remote (India only)

Role Overview

We are looking for an experienced and innovative AI Engineer to join our team and push the boundaries of large language model (LLM) technology to drive significant impact in our products and services . In this role, you will leverage your strong software engineering skills (particularly in Python and cloud-based backend systems) and your hands-on experience with cutting-edge AI (LLMs, prompt engineering, Retrieval-Augmented Generation, etc.) to build intelligent features for enterprise (B2B SaaS). As an AI Engineer on our team, you will design and deploy AI-driven solutions (such as LLM-powered agents and context-aware systems) from prototype to production, iterating quickly and staying up-to-date with the latest developments in the AI space . This is a unique opportunity to be at the forefront of a new class of engineering roles that blend robust backend system design with state-of-the-art AI integration, shaping the future of user experiences in our domain.

Key Responsibilities

• Design and Develop AI Features: Lead the design, development, and deployment of generative AI capabilities and LLM-powered services that deliver engaging, human-centric user experiences . This includes building features like intelligent chatbots, AI-driven recommendations, and workflow automation into our products.
• RAG Pipeline Implementation: Design, implement, and continuously optimize end-to-end RAG (Retrieval-Augmented Generation) pipelines, including data ingestion and parsing, document chunking, vector indexing, and prompt engineering strategies to provide relevant context to LLMs . Ensure that our AI systems can efficiently retrieve and use information from knowledge bases to enhance answer accuracy.
• Build LLM-Based Agents: Develop and refine LLM-based agentic systems that can autonomously perform complex tasks or assist users in multi-step workflows. Incorporate tools for planning, memory, and context management (e.g. long-term memory stores, tool use via APIs) to extend the capabilities of our AI agents . Experiment with emerging best practices in agent design (planning algorithms, self-healing loops, etc.) to make these agents more reliable and effective.
• Integrate with Product Teams: Work closely with product managers, designers, and other engineers to integrate AI capabilities seamlessly into our products, ensuring that features align with user needs and business goals . You’ll collaborate cross-functionally to translate product requirements into AI solutions, and iterate based on feedback and testing.
• System Evaluation & Iteration: Rigorously evaluate the performance of AI models and pipelines using appropriate metrics – including accuracy/correctness, response latency, and avoidance of errors like hallucinations . Conduct thorough testing and use user feedback to drive continuous improvements in model prompts, parameters, and data processing.
• Code Quality & Best Practices: Write clean, maintainable, and testable code while following software engineering best practices . Ensure that the AI components are well-structured, scalable, and fit into our overall system architecture. Implement monitoring and logging for AI services to track performance and reliability in production.
• Mentorship and Knowledge Sharing: Provide technical guidance and mentorship to team members on best practices in generative AI development . Help educate and upskill colleagues (e.g. through code reviews, tech talks) in areas like prompt engineering, using our AI toolchain, and evaluating model outputs. Foster a culture of continuous learning and experimentation with new AI technologies.
• Research & Innovation: Continuously explore the latest advancements in AI/ML (new model releases, libraries, techniques) and assess their potential value for our products . You will have the freedom to prototype innovative solutions – for example, trying new fine-tuning methods or integrating new APIs – and bring those into our platform if they prove beneficial. Staying current with emerging research and industry trends is a key part of this role .

Required Skills and Qualifications

• Software Engineering Experience: 3+ years (Mid-level) / 5+ years (Senior) of professional software engineering experience. Rock-solid backend development skills with expertise in Python and designing scalable APIs/services. Experience building and deploying systems on AWS or similar cloud platforms is required (including familiarity with cloud infrastructure and distributed computing) . Strong system design abilities with a track record of designing robust, maintainable architectures is a must.
• LLM/AI Application Experience: Proven experience building applications that leverage large language models or generative AI. You have spent time prompting and integrating language models into real products (e.g. building chatbots, semantic search, AI assistants) and understand their behavior and failure modes . Demonstrable projects or work in LLM-powered application development – especially using techniques like RAG or building LLM-driven agents – will make you stand out .
• AI/ML Knowledge: Prioritize applied LLM product engineering over traditional ML pipelines. Strong chops in prompt design, function calling/structured outputs, tool use, context-window management, and the RAG levers that matter (document parsing/chunking, metadata, re-ranking, embedding/model selection). Make pragmatic model/provider choices (hosted vs. open) using latency, cost, context length, safety, and rate-limit trade-offs; know when simple prompting/config changes beat fine-tuning, and when lightweight adapters or fine-tuning are justified. Design evaluation that mirrors product outcomes: golden sets, automated prompt unit tests, offline checks, and online A/Bs for helpfulness/correctness/safety; track production proxies like retrieval recall and hallucination rate. Solid understanding of embeddings, tokenization, and vector search fundamentals, plus working literacy in transformers to reason about capabilities/limits. Familiarity with agent patterns (planning, tool orchestration, memory) and guardrail/safety techniques.
• Tooling & Frameworks: Hands-on experience with the AI/LLM tech stack and libraries. This includes proficiency with LLM orchestration libraries such as LangChain, LlamaIndex, etc., for building prompt pipelines . Experience working with vector databases or semantic search (e.g. Pinecone, Chroma, Milvus) to enable retrieval-augmented generation is highly desired.
• Cloud & DevOps: Own the productionization of LLM/RAG-backed services as high-availability, low-latency backends. Expertise in AWS (e.g., ECS/EKS/Lambda, API Gateway/ALB, S3, DynamoDB/Postgres, OpenSearch, SQS/SNS/Step Functions, Secrets Manager/KMS, VPC) and infrastructure-as-code (Terraform/CDK). You’re comfortable shipping stateless APIs, event-driven pipelines, and retrieval infrastructure (vector stores, caches) with strong observability (p95/p99 latency, distributed tracing, retries/circuit breakers), security (PII handling, encryption, least-privilege IAM, private networking to model endpoints), and progressive delivery (blue/green, canary, feature flags). Build prompt/config rollout workflows, manage token/cost budgets, apply caching/batching/streaming strategies, and implement graceful fallbacks across multiple model providers.
• Product and Domain Experience: Experience building enterprise (B2B SaaS) products is a strong plus . This means you understand considerations like user experience, scalability, security, and compliance. Past exposure to these types of products will help you design AI solutions that cater to a range of end-users.
• Strong Communication & Collaboration: Excellent interpersonal and communication skills, with an ability to explain complex AI concepts to non-technical stakeholders and create clarity from ambiguity . You work effectively in cross-functional teams and can coordinate with product, design, and ops teams to drive projects forward.
• Problem-Solving & Autonomy: Self-motivated and able to manage multiple priorities in a fast-paced environment . You have a demonstrated ability to troubleshoot complex systems, debug issues across the stack, and quickly prototype solutions. A “figure it out” attitude and creative approach to overcoming technical challenges are key.

Preferred (Bonus) Qualifications

• Multi-Modal and Agents: Experience developing complex agentic systems using LLMs (for example, multi-agent systems or integrating LLMs with tool networks) is a bonus . Similarly, knowledge of multi-modal AI (combining text with vision or other data) could be useful as we expand our product capabilities.
• Startup/Agile Environment: Prior experience in an early-stage startup or similarly fast-paced environment where you’ve worn multiple hats and adapted to rapid changes . This role will involve quick iteration and evolving requirements, so comfort with ambiguity and agility is valued.
• Community/Research Involvement: Active participation in the AI community (open-source contributions, research publications, or blogging about AI advancements) is appreciated. It demonstrates passion and keeps you at the cutting edge. If you have published research or have a portfolio of AI side projects, let us know !

Perks of working at Certa.ai:

• Best-in-class compensation
• Fully-remote work with flexible schedules
• Continuous learning
• Massive opportunities for growth
• Yearly offsite
• Quarterly hacker house
• Comprehensive health coverage
• Parental Leave
• Latest Tech Workstation
• Rockstar team to work with (we mean it!)

Job Title: SRE Lead Engineer

Location: Hyderabad, India

Company: Client of Options Executive Search, AI Saas Product Development Company

We are seeking a DevOps / SRE Lead Engineer to architect and scale our client's multi-tenant SaaS platform with AI/ML at the core..

Our client, a fast-growing AI-powered SaaS company in the FinTech space, is looking for a Site Reliability Engineering (SRE) Lead Engineer to join their dynamic team. This is an opportunity to design and operate large-scale SaaS systems that integrate cutting-edge AI/ML capabilities.

About the Role

As the SRE Lead Engineer, you will be responsible for architecting, building, and maintaining infrastructure that powers a multi-tenant SaaS platform. You’ll drive reliability, scalability, and security, while supporting AI/ML pipelines in production. This is a hands-on role with significant ownership, requiring both technical depth and leadership in site reliability practices.

Key Responsibilities

• Architect, design, and deploy end-to-end infrastructure for large-scale, microservices-based SaaS platforms.
• Ensure system reliability, scalability, and security for AI/ML model integrations and data pipelines.
• Automate environment provisioning and management using Terraform in AWS (EKS-focused).
• Implement full-stack observability across applications, networks, and operating systems.
• Lead incident management and participate in 24/7 on-call rotation.
• Optimize SaaS reliability while enabling REST APIs, SSO integrations (Okta/Auth0), and cloud data services (RDS/MySQL, Elasticsearch).
• Define and maintain backup and disaster recovery for critical workloads.

Required Skills & Experience

• 8+ years in SRE/DevOps roles, managing enterprise SaaS applications in production.
• Minimum 1 year experience with AI/ML infrastructure or model-serving environments.
• Strong expertise in AWS cloud, particularly EKS, container orchestration, and Kubernetes.
• Hands-on experience with Infrastructure as Code (Terraform), Docker, and scripting (Python, Bash).
• Solid Linux OS and networking fundamentals.
• Experience in monitoring and observability with ELK, CloudWatch, or similar tools.
• Strong track record with microservices, REST APIs, SSO, and cloud databases.

Nice-to-Have Skills

• Experience with MLOps and AI/ML pipeline observability.
• Cost optimization and security hardening in multi-tenant SaaS.
• Prior exposure to FinTech or enterprise finance solutions.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related discipline.
• AWS Certified Solutions Architect (strongly preferred).
• Experience in early-stage or high-growth startups is an advantage.

Why Join?

• Be at the forefront of AI/ML-powered SaaS innovation in FinTech.
• Work with a high-energy, entrepreneurial team building next-gen infrastructure.
• Take ownership of mission-critical reliability challenges.
• Grow your career in an environment that values impact, adaptability, and innovation.

If you’re passionate about building secure, scalable, and intelligent platforms, we’d love to hear from you. Apply now to be part of our client’s journey in redefining enterprise finance operations.

As an L3 Data Scientist, you’ll work alongside experienced engineers and data scientists to solve real-world problems using machine learning (ML) and generative AI (GenAI). Beyond classical data science tasks, you’ll contribute to building and fine-tuning large language model (LLM)– based applications, such as chatbots, copilots, and automation workflows.

Key Responsibilities

• Collaborate with business stakeholders to translate problem statements into data science tasks.
• Perform data collection, cleaning, feature engineering, and exploratory data analysis (EDA).
• Build and evaluate ML models using Python and libraries such as scikit-learn and XGBoost.
• Support the development of LLM-powered workflows like RAG (Retrieval-Augmented Generation), prompt engineering, and fine-tuning for use cases including summarization, Q&A, and task automation.
• Contribute to GenAI application development using frameworks like LangChain, OpenAI APIs, or similar ecosystems.
• Work with engineers to integrate models into applications, build/test APIs, and monitor performance post-deployment.
• Maintain reproducible notebooks, pipelines, and documentation for ML and LLM experiments.
• Stay updated on advancements in ML, NLP, and GenAI, and share insights with the team.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• 6–9 years of experience in data science, ML, or AI (projects and internships included).
• Proficiency in Python with experience in libraries like pandas, NumPy, scikit-learn, and matplotlib.
• Basic exposure to LLMs (e.g., OpenAI, Cohere, Mistral, Hugging Face) or a strong interest with the ability to learn quickly.
• Familiarity with SQL and structured data handling.
• Understanding of NLP fundamentals and vector-based retrieval techniques (a plus).
• Strong communication, problem-solving skills, and a proactive attitude.

Nice-to-Have (Not Mandatory)

• Experience with GenAI prototyping using LangChain, LlamaIndex, or similar frameworks.
• Knowledge of REST APIs and model integration into backend systems.
• Familiarity with cloud platforms (AWS/GCP/Azure), Docker, or Git.

As an L1/L2 Data Scientist, you’ll work alongside experienced engineers and data scientists to solve real-world problems using machine learning (ML) and generative AI (GenAI). Beyond classical data science tasks, you’ll contribute to building and fine-tuning large language model (LLM)– based applications, such as chatbots, copilots, and automation workflows.

Key Responsibilities

• Collaborate with business stakeholders to translate problem statements into data science tasks.
• Perform data collection, cleaning, feature engineering, and exploratory data analysis (EDA).
• Build and evaluate ML models using Python and libraries such as scikit-learn and XGBoost.
• Support the development of LLM-powered workflows like RAG (Retrieval-Augmented Generation), prompt engineering, and fine-tuning for use cases including summarization, Q&A, and task automation.
• Contribute to GenAI application development using frameworks like LangChain, OpenAI APIs, or similar ecosystems.
• Work with engineers to integrate models into applications, build/test APIs, and monitor performance post-deployment.
• Maintain reproducible notebooks, pipelines, and documentation for ML and LLM experiments.
• Stay updated on advancements in ML, NLP, and GenAI, and share insights with the team.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• 2.5–5 years of experience in data science, ML, or AI (projects and internships included).
• Proficiency in Python with experience in libraries like pandas, NumPy, scikit-learn, and matplotlib.
• Basic exposure to LLMs (e.g., OpenAI, Cohere, Mistral, Hugging Face) or strong interest with the ability to learn quickly.
• Familiarity with SQL and structured data handling.
• Understanding of NLP fundamentals and vector-based retrieval techniques (a plus).
• Strong communication, problem-solving skills, and a proactive attitude.

Nice-to-Have (Not Mandatory)

• Experience with GenAI prototyping using LangChain, LlamaIndex, or similar frameworks.
• Knowledge of REST APIs and model integration into backend systems.
• Familiarity with cloud platforms (AWS/GCP/Azure), Docker, or Git.

About Us

We are a company where the ‘HOW’ of building software is just as important as the ‘WHAT.’ We partner with large organizations to modernize legacy codebases and collaborate with startups to launch MVPs, scale, or act as extensions of their teams. Guided by Software Craftsmanship values and eXtreme Programming Practices, we deliver high-quality, reliable software solutions tailored to our clients' needs.

We thrive to: 

• Bring our clients' dreams to life by being their trusted engineering partners, crafting innovative software solutions.
• Challenge offshore development stereotypes by delivering exceptional quality, and proving the value of craftsmanship.
• Empower clients to deliver value quickly and frequently to their end users.
• Ensure long-term success for our clients by building reliable, sustainable, and impactful solutions.
• Raise the bar of software craft by setting a new standard for the community.

About Us

We are a company where the ‘HOW’ of building software is just as important as the ‘WHAT.’ We partner with large organizations to modernize legacy codebases and collaborate with startups to launch MVPs, scale, or act as extensions of their teams. Guided by Software Craftsmanship values and eXtreme Programming Practices, we deliver high-quality, reliable software solutions tailored to our clients' needs.

We thrive to: 

• Bring our clients' dreams to life by being their trusted engineering partners, crafting innovative software solutions.
• Challenge offshore development stereotypes by delivering exceptional quality, and proving the value of craftsmanship.
• Empower clients to deliver value quickly and frequently to their end users.
• Ensure long-term success for our clients by building reliable, sustainable, and impactful solutions.
• Raise the bar of software craft by setting a new standard for the community.

Our Core Values

• Quality with Pragmatism: We aim for excellence with a focus on practical solutions. 
• Extreme Ownership: We own our work and its outcomes, fully. 
• Proactive Collaboration: Teamwork elevates us all. 
• Pursuit of Mastery: Continuous growth drives us. 
• Effective Feedback: Honest, constructive feedback fosters improvement. 
• Client Success: Our clients’ success is our success.  
• 
  

Experience Level

This role is ideal for engineers with 4+ years of hands-on software development experience, particularly in Node.js and Reactjs at scale. 

Role Overview

If you’re a Software Craftsperson who takes pride in clean, test-driven code and believes in Extreme Programming principles, we’d love to meet you. At Incubyte, we’re a DevOps organization where developers own the entire release cycle, meaning you’ll get hands-on experience across programming, cloud infrastructure, client communication, and everything in between. Ready to level up your craft and join a team that’s as quality-obsessed as you are? Read on!

What You'll Do

• Write Tests First: Start by writing tests to ensure code quality 
• Clean Code: Produce self-explanatory, clean code with predictable results 
• Frequent Releases: Make frequent, small releases 
• Pair Programming: Work in pairs for better results 
• Peer Reviews: Conduct peer code reviews for continuous improvement
• Product Team: Collaborate in a product team to build and rapidly roll out new features and fixes 
• Full Stack Ownership: Handle everything from the front end to the back end, including infrastructure and DevOps pipelines 
• Never Stop Learning: Commit to continuous learning and improvement

Requirements

• 4+ years of expertise in Node, TypeScript, React, JavaScript, Object Oriented Programming in JS 
• AI Tech Stack: the candidate should be aware of: MCP Servers, Agentic Development Frameworks like (Llamaindex, Langchain, Mastra, Agno etc), Vector Databases (Pinecone, PgVector, Qdrant etc.), LLM Observability (Langsmith, DeepEval etc.), AI video and speech models (Deepgram, Whisper, Veo3, Elevanlabs etc), AI cloud provider services (AWS Bedrock, Azure AI Services, Google Vertex AI etc.) 
• Expertise in object-oriented programming, data structures, algorithms, and software engineering methodologies 
• Experience working in Agile and eXtreme Programming methodologies in a continuous deployment environment 
• Interest in mastering technologies like web server ecosystems, relational DBMS, TDD, CI tools like Jenkins, Hudson, and Bamboo, web frameworks and front-end technologies, complexity analysis, and performance optimization 
• Working knowledge of server configuration/deployment infrastructure 
• Experience using source control and bug tracking systems, writing user stories, and technical documentation

Benefits

What We Offer

• Dedicated Learning & Development Budget: Fuel your growth with a budget dedicated solely to learning.  
• Conference Talks Sponsorship: Amplify your voice! If you’re speaking at a conference, we’ll fully sponsor and support your talk. 
• Cutting-Edge Projects: Work on exciting projects with the latest AI technologies   
• Employee-Friendly Leave Policy: Recharge with ample leave options designed for a healthy work-life balance. 
• Comprehensive Medical & Term Insurance: Full coverage for you and your family’s peace of mind. 
• And More: Extra perks to support your well-being and professional growth.

Work Environment

• Remote-First Culture: At Incubyte, we thrive on a culture of structured flexibility — while you have control over where and how you work, everyone commits to a consistent rhythm that supports their team during core working hours for smooth collaboration and timely project delivery. By striking the perfect balance between freedom and responsibility, we enable ourselves to deliver high-quality standards our customers recognize us by. With asynchronous tools and push for active participation, we foster a vibrant, hands-on environment where each team member’s engagement and contributions drive impactful results. 
• Work-In-Person: Twice a year, we come together for two-week sprints to collaborate in person, foster stronger team bonds, and align on goals. Additionally, we host an annual retreat to recharge and connect as a team. All travel expenses are covered. 
• Proactive Collaboration: Collaboration is central to our work. Through daily pair programming sessions, we focus on mentorship, continuous learning, and shared problem-solving. This hands-on approach keeps us innovative and aligned as a team. 

Incubyte is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 

Job Description – AI Developer

Job Description 

We are seeking a forward-thinking AI Developer with expertise in Generative AI, Machine Learning, Data Science, and Advanced Analytics. In this role, you will design, optimize, and deploy scalable AI solutions that power automation, personalization, and decision intelligence. You will closely collaborate with data engineers, product leaders, and business stakeholders to develop production-grade AI systems aligned with the latest enterprise AI trends such as LLM, prompt engineering, multimodal AI, and trustworthy/ethical AI practices.

This is a unique opportunity to work at the forefront of AI innovation, shaping high-impact solutions that address real-world challenges across industries.

Key Responsibilities

• Design and deploy advanced Generative AI models including LLMs, diffusion models, and multimodal architectures.
• Develop and fine-tune ML/DL solutions for NLP, computer vision, time-series forecasting, and predictive analytics.
• Implement RAG pipelines, embeddings-based search, and knowledge graph integrations to enhance context-aware AI applications.
• Stay ahead of AI research, industry trends, and tools (multi-agent systems, federated learning, privacy-preserving ML).

What we are looking for

• Strong programming background in Python (primary), R & Familiar with Object Oriented Programming Language.
• Proficiency in any of the framework PyTorch, TensorFlow, SAS, ChemBerta.
• Expertise in Machine Learning & Deep Learning.
• Strong grounding in mathematics & applied statistics (linear algebra, probability, optimization).

Qualifications

• Bachelor’s, Master’s, in Computer Science, Artificial Intelligence, Data Science, or related fields. We also welcome PhD scholars.
• 0–6 years of proven experience into AI development, optimization, and production deployment.

Preferred / Nice to Have

• Someone who is passionate about GEN AI is ideal candidate & did Research contributions or open-source AI project contributions.
• Exposure to multimodal AI, agent-based systems, or reinforcement learning.
• Knowledge of AI safety, interpretability frameworks, and responsible AI practices.

Responsibilities

● Design, build, and deploy applied ML models (NLP, LLM-based) to solve real-world sales tech problems.

● Build and orchestrate true multi-agent systems to collaboratively solve complex tasks and workflows that reason, remember, plan, and take actions over structured and unstructured data.

● Use frameworks like LangGraph, CrewAI, or custom planners to orchestrate LLM-powered agents.

● Prototype and productionize capabilities using foundation models (OpenAI, Claude, Gemini, etc.), embeddings, and vector databases (e.g., Pinecone, Weaviate).

● Work with the product team to integrate intelligent agents into customer CRM workflows and GTM-facing tools.

● Design observability, evaluation and control mechanisms to ensure agent reliability, traceability, safety and frugality.

● Continuously improve agents with RF and active learning.

Requirements

● Bachelor’s or Master’s in Computer Science, AI/ML, or a related field.

● 2+ years of experience deploying ML models or AI systems in production

environments.

● Experience with LLMs, NLP pipelines, prompt engineering, and fine-tuning.

● Familiarity with agentic frameworks (LangChain, LangGraph, AutoGPT, CrewAI, or custom orchestration).

● Strong Python programming skills and deep knowledge of the ML/LLM ecosystem.

● Hands-on experience with MLOps, API integrations, and cloud infrastructure (AWS, GCP, or Azure).

● Ability to balance rapid experimentation with robust engineering.

Nice to Have

● Experience working with sales/revenue data (CRM, Gong, Salesforce, LinkedIn).

● Familiarity with reasoning techniques (ReAct, CoT, Tree-of-Thoughts), graph orchestration, and tool chaining.

● Exposure to multi-agent systems, RAG pipelines, or feedback loops in production.

● Contributions to open-source AI/agentic tools or frameworks.

We are looking for a proactive and skilled MEAN Stack Developer with 2–4 years of experience to join our growing team at Rudra Innovative Software Pvt. Ltd. The ideal candidate must have strong proficiency in Angular and TypeScript, along with hands-on experience in the full MEAN Stack (MongoDB, Express.js, Angular, Node.js). Exposure to microservices architecture is highly desirable.

Key Responsibilities:

• Develop, enhance, and maintain robust web applications using the MEAN stack
• Write clean, maintainable, and efficient code with a strong focus on Angular and TypeScript
• Integrate and manage RESTful APIs and backend services using Node.js and Express.js
• Collaborate closely with designers, testers, and other developers for end-to-end delivery
• Work on designing and developing microservices-based components where applicable
• Participate in daily standups, code reviews, and technical discussions
• Troubleshoot application issues, perform root cause analysis, and implement solutions

Required Skills:

• 2–3 years of solid experience with Angular (v18+) and TypeScript
• Awareness of current Angular features like standalone components and signals
• Strong foundation in JavaScript, HTML5, and CSS3
• Proficient in Node.js and Express.js development
• Familiar with MongoDB and writing optimized database queries
• Good understanding of RESTful APIs, JSON, and API integration
• Hands-on experience with Git and version control practices
• Exposure to microservices architecture and understanding of its types (e.g., API gateway, database per service, event-driven communication)
• Excellent debugging, problem-solving, and communication skills

Preferred Qualifications:

• Bachelor’s degree in Computer Science, IT, or a related field
• Prior experience working in Agile/Scrum environments
• Familiarity with Docker, Kubernetes, or any cloud services is a plus

What We Offer:

• Opportunity to work on exciting and challenging global projects
• Supportive, collaborative, and innovation-driven work environment
• Competitive compensation with performance-based incentives
• Ongoing training, learning resources, and growth opportunities

Lead Drone Software Engineer

About the Role

We are hiring a Lead Drone Software Engineer to architect and develop embedded flight software, autonomy algorithms, and AI-powered navigation systems. You will build the intelligence that powers our drones.

Responsibilities

• Develop flight control algorithms using PX4/ArduPilot/ROS.
• Build real-time embedded systems for obstacle avoidance, GPS-denied navigation, and autonomy.
• Implement sensor fusion algorithms (LiDAR, IMU, GPS, vision-based SLAM).
• Develop AI/ML and computer vision systems for object detection and terrain mapping.
• Create ground control systems (GCS) for mission planning and telemetry.
• Integrate cloud-based platforms for fleet management and data analytics.
• Ensure regulatory compliance (geo-fencing, fail-safe, BVLOS).

Qualifications

• B.E./M.Tech in Computer Science, Robotics, or related field.
• 4- 5+ years in embedded software, robotics, or UAV development.
• Strong programming in C/C++, Python.
• Hands-on with ROS, PX4, ArduPilot, MAVLink protocols.
• Experience in AI/ML frameworks (TensorFlow, PyTorch, OpenCV).
• Knowledge of networking, cloud APIs, and cybersecurity for UAVs.
• Prior UAV/robotics product experience highly preferred.

Experience Required: 5-7 Years

No. of vacancies: 1

Job Type: Full Time

Vacancy Role: WFO

Job Category: Development

Job Description

AI/ML Developer Overview We are looking for a highly skilled and experienced AI/ML Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential.

Key Responsibilities :

● Develop and maintain web applications using Django and Flask frameworks.

● Design and implement RESTful APIs using Django Rest Framework (DRF).

● Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation.

● Build and integrate APIs for AI/ML models into existing systems.

● Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn.

● Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases.

● Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization.

● Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker.

● Ensure the scalability, performance, and reliability of applications and deployed models.

● Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions.

● Write clean, maintainable, and efficient code following best practices.

● Conduct code reviews and provide constructive feedback to peers.

● Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML.

Required Skills and Qualifications :

● Bachelor’s degree in Computer Science, Engineering, or a related field.

● 5+ years of professional experience as a AI Engineer.

● Proficient in Python with a strong understanding of its ecosystem.

● Extensive experience with Django and Flask frameworks.

● Hands-on experience with AWS services for application deployment and management.

● Strong knowledge of Django Rest Framework (DRF) for building APIs.

● Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.

● Experience with transformer architectures for NLP and advanced AI solutions.

● Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).

● Familiarity with MLOps practices for managing the machine learning lifecycle.

● Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus.

● Excellent problem-solving skills and the ability to work independently and as part of a team.

● Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

Job Title: AI Architecture Intern

Company: PGAGI Consultancy Pvt. Ltd.

Location: Remote

Employment Type: Internship

Position Overview

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

Duration: 6 months

Key Responsibilities:

• AI System Architecture Design: Collaborate with the technical team to design robust, scalable, and high-performance AI system architectures aligned with client requirements.
• Client-Focused Solutions: Analyze and interpret client needs to ensure architectural solutions meet expectations while introducing innovation and efficiency.
• Methodology Development: Assist in the formulation and implementation of best practices, methodologies, and frameworks for sustainable AI system development.
• Technology Stack Selection: Support the evaluation and selection of appropriate tools, technologies, and frameworks tailored to project objectives and future scalability.
• Team Collaboration & Learning: Work alongside experienced AI professionals, contributing to projects while enhancing your knowledge through hands-on involvement.

Requirements:

• Strong understanding of AI concepts, machine learning algorithms, and data structures.
• Familiarity with AI development frameworks (e.g., TensorFlow, PyTorch, Keras).
• Proficiency in programming languages such as Python, Java, or C++.
• Demonstrated interest in system architecture, design thinking, and scalable solutions.
• Up-to-date knowledge of AI trends, tools, and technologies.
• Ability to work independently and collaboratively in a remote team environment

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

Compensation:

- Joining Bonus: A one-time bonus of INR 2,500 will be awarded upon joining.

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

After completion of the internship period, there is a chance to get a full-time opportunity as an AI/ML engineer (Up to 12 LPA).

Preferred Experience:

• Prior experience in roles such as AI Solution Architect, ML Architect, Data Science Architect, or AI/ML intern.
• Exposure to AI-driven startups or fast-paced technology environments.
• Proven ability to operate in dynamic roles requiring agility, adaptability, and initiative.

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.

Job Title : Applied AI Engineer (AI/ML & LLM Deployment)

Experience : 4+ Years

Location : Remote

Job Summary :

We are looking for an Applied AI Engineer with strong expertise in Large Language Models (LLMs) to design, optimize, and deploy advanced AI solutions. The role focuses on LLM integration, fine-tuning, and performance optimization for scalable production use.

Mandatory Skills :

LLM Integration, Prompt Engineering, LangChain/LlamaIndex, Fine-tuning & LoRA, Model Quantization, Local Deployment, Tokenizers, Performance Optimization.

Key Responsibilities :

• Integrate GPT-4, Claude, and open-source LLMs into applications.
• Design and implement prompt engineering for context-specific, tone-appropriate outputs.
• Build AI pipelines using LangChain, LlamaIndex, or similar frameworks.
• Perform fine-tuning and LoRA (Low-Rank Adaptation) to customize models.
• Apply model quantization (GGML, GPTQ, bitsandbytes) for efficient deployment.
• Deploy models with Hugging Face Transformers, vLLM, llama.cpp.
• Optimize tokenization and inference performance for low latency.

Required Skills :

• Strong hands-on experience with LLMs (OpenAI GPT-4, Claude, open-source models).
• Proficiency in Prompt Engineering and tone-specific output design.
• Experience with LangChain, LlamaIndex, or other orchestration frameworks.
• Knowledge of fine-tuning, LoRA techniques, and quantization methods.
• Familiarity with deployment frameworks (Transformers, vLLM, llama.cpp).
• Strong understanding of tokenizers and efficient text preprocessing.
• Ability to optimize models for real-time, low-latency inference.
• Solid programming skills in Python and experience with PyTorch/TensorFlow.

Nice to Have :

• Exposure to MLOps tools (Docker, Kubernetes, CI/CD for AI).
• Experience with evaluation frameworks for LLMs.
• Knowledge of multi-modal models (text, vision, audio).

We are seeking a highly skilled Node.js Backend Developer with hands-on experience in DevOps, MongoDB, Socket.IO, REST APIs, and AI/ML integration. You will work on innovative and scalable backend systems, collaborating with cross-functional teams to integrate AI-driven solutions and manage infrastructure for product-based development.

Key Responsibilities:

• Develop and maintain backend services using Node.js and Express.js.
• Design and manage scalable RESTful APIs.
• Build and manage real-time communication using Socket.IO.
• Collaborate with the DevOps team to implement and manage CI/CD pipelines, Docker, and cloud services (AWS/GCP).
• Work closely with data science and ML teams to integrate AI/ML models and APIs into backend systems.
• Optimize database interactions using MongoDB and Mongoose.
• Write clean, efficient, and testable code with strong focus on scalability and performance.
• Ensure backend security, monitoring, and logging are in place.

Required Skills & Experience:

• 2–4 years of hands-on experience in Node.js backend development.
• Strong knowledge of MongoDB and query optimization.
• Experience with DevOps tools like Docker, Jenkins, Git, and cloud platforms (AWS/GCP).
• Proficiency in REST API development and integration.
• Experience with Socket.IO or other real-time communication libraries.
• Basic understanding of integrating AI/ML solutions, such as OpenAI APIs or custom ML models.
• Good grasp of data structures, algorithms, and backend architecture.
• Version control using Git and team collaboration through Agile methodologies.

Good to Have:

• Exposure to frontend technologies like Angular (MEAN Stack).
• Familiarity with chatbot or NLP integration.
• Understanding of CI/CD pipelines and Kubernetes.

Perks & Benefits:

• Competitive salary based on experience.
• Opportunity to work on AI-driven product innovations.
• Collaborative and growth-oriented work culture.
• Exposure to cutting-edge technologies and scalable system design.

Location: Flexible - Remote or Based in India

Type: Equity-Based Partnership with Investment

Vesting Schedule: 4 years with a 1-year cliff

IMPORTANT: This is an equity-only position with investment until the business starts generating revenue.

About Dwichakra:

Dwichakra is the ultimate lifestyle app for motorcycle enthusiasts, providing everything riders need to fuel their passion for the open road. Our platform offers new routes, epic ride planning, and a vibrant community connection, along with an e-commerce shop, achievement tracking, expense management, and roadside assistance. Committed to AI-powered personalized route catalogs and instant support, Dwichakra ensures a thrilling journey for every motorcyclist.

Founded in 2016, Dwichakra is transforming the Indian two-wheeler industry by delivering an integrated ecosystem that caters to every aspect of a rider's journey. We are rapidly positioning ourselves as a pioneer in comprehensive services for motorcycle enthusiasts across India.

Time Commitment:

• Hours: 15-25 hours per week
• Flexibility: Can be managed alongside a full-time job
• Working Hours: Flexible

Compensation:

• Equity Partnership: Join a growing startup as a key partner
• Leadership Opportunity: Shape technology as a Director
• Future Revenue Sharing: As the business scales
• Potential Full-Time Role: As the company grows

Role Overview:

We are seeking a driven and visionary Director Of Technology to join Dwichakra as an integral contributor and investor. This role is perfect for anyone with entrepreneurial aspirations and a robust technical background who is ready to invest in our shared mission.

As a technologist and partner, you will provide technical leadership and expertise in developing and launching innovative technology solutions. Your contributions will be crucial in enhancing our product offerings and scaling the company.

Key Responsibilities:

• Technology Strategy: Collaborate with founders to define and execute a technology roadmap that aligns with the company’s vision and growth strategy.
• Financial Investment: Commit to a financial contribution to support technology development, product launch, and scaling efforts.
• Technical Leadership: Lead the design and implementation of the platform, ensuring scalability, security, and performance.
• Product Development: Direct the development of new features and enhancements, leveraging AI and other technologies for a superior user experience.
• Team Building: Recruit, mentor, and manage a talented technology team to foster innovation and excellence.
• Decision-Making: Participate in strategic and operational decisions to drive the company forward.

Shared Responsibilities:

• Operations Oversight: Collaborate with Founders for smooth daily operations in technology.
• Business Development: Partner with technology vendors, service providers, and stakeholders.
• Industry Representation: Represent Dwichakra at key industry events and technology forums.
• Visionary Leadership: Inspire the technology team to drive innovation and stay ahead of market trends.

Qualifications and Skills:

Essential:

• Proven experience in a senior technology leadership role (CTO or equivalent).
• Strong understanding of software development, AI applications, and mobile app technologies.
• An entrepreneurial mindset with a strategic approach to technology and business goals.
• Willingness and ability to make a financial investment in the company.
• Excellent leadership, collaboration, and problem-solving skills.
• Strong communication and interpersonal abilities.

Preferred:

• Experience in startups, product development, or technology commercialization.
• Familiarity with the motorcycle or automobile industry and market trends.
• A network of potential clients, investors, or technology partners.

Equity and Investment:

• Equity Offering: Based on contributions (financial, expertise, and operational involvement), equity shares will be negotiated with a vesting schedule.
• Investment Requirement: A minimum financial contribution of INR 15-25 lakhs to support technology development and product launch.

If you are an innovative and entrepreneurial-minded technology leader passionate about the startup community, we invite you to join us in shaping the future of Dwichakra. Apply today and help us create the ultimate experience for motorcycle riders and indian two-wheeler ecosystem!

Job description

Job Title: AI-Driven Data Science Automation Intern – Machine Learning Research Specialist

Location: Remote (Global)

Compensation: $50 USD per month

Company: Meta2 Labs

www.meta2labs.com

About Meta2 Labs:

Meta2 Labs is a next-gen innovation studio building products, platforms, and experiences at the convergence of AI, Web3, and immersive technologies. We are a lean, mission-driven collective of creators, engineers, designers, and futurists working to shape the internet of tomorrow. We believe the next wave of value will come from decentralized, intelligent, and user-owned digital ecosystems—and we’re building toward that vision.

As we scale our roadmap and ecosystem, we're looking for a driven, aligned, and entrepreneurial AI-Driven Data Science Automation Intern – Machine Learning Research Specialist to join us on this journey.

The Opportunity:

We’re seeking a part-time AI-Driven Data Science Automation Intern – Machine Learning Research Specialist to join Meta2 Labs at a critical early stage. This is a high-impact role designed for someone who shares our vision and wants to actively shape the future of tech. You’ll be an equal voice at the table and help drive the direction of our ventures, partnerships, and product strategies.

Responsibilities:

• Collaborate on the vision, strategy, and execution across Meta2 Labs' portfolio and initiatives.
• Drive innovation in areas such as AI applications, Web3 infrastructure, and experiential product design.
• Contribute to go-to-market strategies, business development, and partnership opportunities.
• Help shape company culture, structure, and team expansion.
• Be a thought partner and problem-solver in all key strategic discussions.
• Lead or support verticals based on your domain expertise (e.g., product, technology, growth, design, etc.).
• Act as a representative and evangelist for Meta2 Labs in public or partner-facing contexts.

Ideal Profile:

• Passion for emerging technologies (AI, Web3, XR, etc.).
• Comfortable operating in ambiguity and working lean.
• Strong strategic thinking, communication, and collaboration skills.
• Open to wearing multiple hats and learning as you build.
• Driven by purpose and eager to gain experience in a cutting-edge tech environment.

Commitment:

• Flexible, part-time involvement.
• Remote-first and async-friendly culture.

Why Join Meta2 Labs:

• Join a purpose-led studio at the frontier of tech innovation.
• Help build impactful ventures with real-world value and long-term potential.
• Shape your own role, focus, and future within a decentralized, founder-friendly structure.
• Be part of a collaborative, intellectually curious, and builder-centric culture.

Job Types: Part-time, Internship

Pay: $50 USD per month

Work Location: Remote

Job Types: Full-time, Part-time, Internship

Contract length: 3 months

Pay: Up to ₹5,000.00 per month

Benefits:

• Flexible schedule
• Health insurance
• Work from home

Work Location: Remote

JOB ROLE : Graphic Designer with AI Skills

Key Responsibilities

• Create compelling and effective logos, designs, print and digital media

• Utilize AI-powered platforms to generate strong visually appealing designs.

• Prompt Engineering

Coordinate with marketers to understand requirements, campaign objectives, and content directions. Continuously review and improve the generated content to ensure visual quality, originality, and brand consistency. Stay updated with cutting-edge AI video creation tools and industry trends, integrating new skills and technologies as needed.

Required Skills & Qualifications

• Innovation and Quality oriented mindset

• Proficient in Adobe Illustrator, Premiere Pro, Photoshop, After Effects (or any similar platforms)

• Experience or strong interest in AI video generation tools (such as Hedra AI, Kling AI, VEO3, RunwayML, Synthesia, Pictory, or similar platforms).

• Thumbnail creation (e.g., Midjourney, Leonardo AI)

• Strong English writing skills and basic understanding

• Use AI Text-to-Speech tools (e.g., ElevenLabs, Descript) to generate voiceovers

• A portfolio showcasing your work.

• Creative mindset with an eye for high-quality content and digital storytelling.

• Team player with strong communication skills to liaise with the marketing department.

• Ability to blend AI + human creativity for seamless storytelling and marketing trends.

Proven experience as a Data Scientist or similar role with relevant experience of at least 4 years and total experience 6-8 years.

· Technical expertiseregarding data models, database design development, data mining and segmentation techniques

· Strong knowledge of and experience with reporting packages (Business Objects and likewise), databases, programming in ETL frameworks

· Experience with data movement and management in the Cloud utilizing a combination of Azure or AWS features

· Hands on experience in data visualization tools – Power BI preferred

· Solid understanding of machine learning

· Knowledge of data management and visualization techniques

· A knack for statistical analysis and predictive modeling

· Good knowledge of Python and Matlab

· Experience with SQL and NoSQL databases including ability to write complex queries and procedures

Job Title: Technical Manager – Digital & Emerging Tech

Location: Kempegowda International Airport, Bengaluru

Department: ICT / Architecture & Digital Solutions

Experience: 12+ years

About the Role:

We’re looking for an experienced Technical Manager to lead innovative digital initiatives at Bangalore Airport. You will identify, validate, and implement emerging technologies such as AI/ML, IoT, robotics, biometrics, and more — from proof-of-concept to full-scale deployment. This role demands strong project management, vendor coordination, and technical expertise to deliver impactful solutions aligned with our business goals.

Key Responsibilities:

• Lead end-to-end project management of IT and digital innovation initiatives.
• Research, evaluate, and implement emerging technologies relevant to smart airports.
• Develop RFPs, evaluate vendor proposals, and manage partner relationships.
• Conduct and manage Proof of Concepts (PoCs) with measurable success criteria.
• Define and validate target architectures in line with best practices and security standards.
• Oversee application development, ensuring technical, UX, and security compliance.
• Collaborate closely with internal teams and external vendors to meet project goals.

Requirements:

• MCA / B.E. / B.Tech in IT or related field.
• 12+ years of experience in technology leadership with focus on innovation.
• Hands-on exposure to emerging technologies (AI, Blockchain, IoT, AR/VR, Cloud).
• Experience with AWS/Azure, agile project management, and vendor management.
• Strong understanding of cybersecurity, DevSecOps, and IT infrastructure.
• Excellent stakeholder management and documentation skills.

Behavioral Competencies:

• Strategic Leadership – Proficient
• Change Influencer & Innovation Mindset – Advanced
• Customer Centricity, Execution Excellence, Collaboration – Expert

Why Join Us:

Work at one of India’s premier airports, driving future-ready digital transformation that enhances passenger experience and operational efficiency.

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.
• 4+ 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.

About MyOperator

MyOperator is India’s only Business AI Operator, an integrated platform that brings together

WhatsApp, voice calls, and AI-powered chat and voice bots to help businesses automate,

manage, and personalize customer interactions at scale.

We’re building the future of business communication: unified, intelligent, and deeply integrated.

If conversations are the new currency of business, we’re here to make every one count.

About the Role

We’re looking for a sharp, strategic, and SEO-savvy Senior Content Writer who can write with

clarity, depth, and purpose. You’ll be responsible for crafting high-impact content across web

pages, blogs, product explainers, LinkedIn posts, customer stories, and more, helping establish

MyOperator as a category leader in AI-led business communication.

If you have a flair for storytelling, a research-first mindset, a strong grasp of B2B SaaS/tech, and

an understanding of how content drives both brand and performance, this role is for you.

What You’ll Do

• Research deeply on AI, SEO, and business communication to craft content that adds
• real value, not just ranks.
• Own end-to-end content creation across formats, including long-form blogs, product
• pages, whitepapers, emailers, case studies, and social media content.
• Collaborate with product, sales, and support teams to create technically accurate,
• user-friendly, and search-optimized content.
• Lead and contribute to SEO content strategy, keyword research, clustering, and on-page
• SEO execution.
• Translate technical product features into crisp, benefits-led copy that customers can
• relate to.
• Ensure editorial excellence: clarity, consistency, grammar, structure, and tone of voice.
• Track content performance, analyze gaps, and continuously improve strategy.
• Stay updated on AI/LLM SEO trends and tools (vector search, content embeddings,
• ChatGPT workflows, etc.), and experiment when possible.
• Help build internal content systems: tone guides, editorial frameworks, and scalable
• content ops.

What We’re Looking For

• 3–5 years of experience in B2B or SaaS content writing.
• A strong portfolio of SEO-optimized, long-form content.
• Solid understanding of content-led growth in a product-first or tech-first environment.
• Experience with SEO tools like Ahrefs, SEMrush, Surfer SEO, or Clearscope.
• Comfortable working in a fast-paced, high-ownership setup.
• Excellent command of English: written and verbal.
• Bonus: Familiarity with AI-driven SEO, technical SEO, or LLM-first content strategies.
• Bonus: Hands-on with tools like Notion, Webflow, WordPress, Jasper, or ChatGPT for
• content workflows.

Why Join Us

• Learn how to leverage AI and LLMs to create AEO-first content at scale.
• Help shape a category-defining brand in the business AI space.
• Work with a high-performing, future-forward content and marketing team.
• Flexible, remote-friendly environment with space to experiment.
• Your words will influence how thousands of businesses engage with MyOperator.

About HelloRamp.ai

HelloRamp is on a mission to revolutionize media creation for automotive and retail using AI. Our platform powers 3D/AR experiences for leading brands like Cars24, Spinny, and Samsung. We’re now building the next generation of Computer Vision + AI products, including cutting-edge NeRF pipelines and AI-driven video generation.

What You’ll Work On

• Develop and optimize Computer Vision pipelines for large-scale media creation.
• Implement NeRF-based systems for high-quality 3D reconstruction.
• Build and fine-tune AI video generation models using state-of-the-art techniques.
• Optimize AI inference for production (CUDA, TensorRT, ONNX).
• Collaborate with the engineering team to integrate AI features into scalable cloud systems.
• Research latest AI/CV advancements and bring them into production.

Skills & Experience

• Strong Python programming skills.
• Deep expertise in Computer Vision and Machine Learning.
• Hands-on with PyTorch/TensorFlow.
• Experience with NeRF frameworks (Instant-NGP, Nerfstudio, Plenoxels) and/or video synthesis models.
• Familiarity with 3D graphics concepts (meshes, point clouds, depth maps).
• GPU programming and optimization skills.

Nice to Have

• Knowledge of Three.js or WebGL for rendering AI outputs on the web.
• Familiarity with FFmpeg and video processing pipelines.
• Experience in cloud-based GPU environments (AWS/GCP).

Why Join Us?

• Work on cutting-edge AI and Computer Vision projects with global impact.
• Join a small, high-ownership team where your work matters.
• Opportunity to experiment, publish, and contribute to open-source.
• Competitive pay and flexible work setup.

Remote Work | Type: Freelance / Project-based

Preferred Location: Candidates from Gujarat will be preferred

What are we looking for?

• 3 to 4 years of experience in React Native development
• Minimum 1 year of experience in AI/ML integrations
• Good understanding of mobile app architecture
• Ability to work independently and meet deadlines
• Strong communication and problem-solving skills

What will you do at Digicorp?

• Build and maintain mobile apps using React Native
• Integrate AI-based features like chatbots, recommendations, etc.
• Collaborate with design and backend teams
• Test, debug, and optimize app performance
• Stay updated with latest tools and best practices

Skills Required:

• React Native, Redux, JavaScript/TypeScript
• AI/ML tools or APIs (OpenAI, TensorFlow, etc.)
• REST API integration
• Knowledge of Firebase or AWS (added advantage)

What You’ll Do

• Build & tune models: embeddings, transformers, retrieval pipelines, evaluation frameworks.
• Architect Python services (FastAPI/Flask) to embed ML/LLM workflows end-to-end.
• Translate AI research into production features for data extraction, document reasoning, and risk analytics.
• Own the full user flow: back-end → front-end (React/TS) → CI/CD on Azure & Docker.
• Leverage AI coding tools (Copilot, Cursor, Jules) to meet our 1 dev = 4 devs productivity bar.

Core Tech Stack:

• Primary:

Python · FastAPI/Flask · Pandas · SQL/NoSQL · Hugging Face · LangChain/RAG · REST/GraphQL · Azure · Docker

• Bonus:

React.js · Vector Databases · Kubernetes

You Bring:

• Proven track record shipping Python features and training/serving ML or LLM models.
• Comfort reading research papers/blogs, prototyping ideas, and measuring model performance.
• 360° product mindset: tests, reviews, secure code, quick iterations.
• Strong ownership and output focus — impact beats years of experience.

Why Join Intain?

• Small, expert team where your code and models hit production fast.
• Work on real-world AI problems powering billions in structured-finance transactions.
• Compensation & ESOPs tied directly to the value you ship.

📍 About Us

Intain is transforming structured finance using AI — from data ingestion to risk analytics. Our platform, powered by IntainAI and Ida, helps institutions manage and scale transactions seamlessly.

Job Title: Data Science Trainer

Location: Coimbatore

Employment Type: Full-time

Job Summary:

We are seeking an experienced and passionate Data Science Trainer to deliver engaging and practical training sessions to students or professionals. The trainer will design curriculum, prepare materials, and guide learners in developing data science skills through real-world projects and case studies.

Key Responsibilities:

• Develop and deliver comprehensive training programs on Data Science concepts, tools, and techniques.
• Teach topics including but not limited to:
• Data Analysis (NumPy, Pandas, Data Cleaning, EDA)
• Data Visualization (Matplotlib, Seaborn, Plotly)
• Statistics & Probability (Descriptive, Inferential)
• Machine Learning (Supervised & Unsupervised Algorithms, Model Evaluation)
• Deep Learning (Neural Networks, TensorFlow, PyTorch – if applicable)
• Big Data Tools (Hadoop, Spark – if applicable)
• Provide hands-on training with industry-relevant datasets and projects.
• Prepare lesson plans, assignments, assessments, and evaluation reports.
• Mentor learners individually to ensure conceptual clarity and practical application.
• Keep training content updated with the latest industry trends and technologies.
• Collaborate with the academic or corporate training team for curriculum improvement.

Required Skills & Qualifications:

• Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, or related field.
• Proven experience in Data Science, Machine Learning, and Data Analytics.
• Proficiency in Python (NumPy, Pandas, Scikit-learn, etc.) and SQL.
• Strong understanding of statistical concepts and their application in data analysis.
• Experience with visualization tools like Tableau/Power BI is a plus.
• Excellent communication and presentation skills.
• Ability to simplify complex concepts for learners with varied backgrounds.
• Prior teaching/training experience preferred.

About the job 

1. Develop responsive, user-friendly, and visually appealing web applications using React, Node.js, and Tailwind. 

2. Collaborate with the design team to transform mockups into pixel-perfect web applications. 

3. Implement UI designs and build reusable components with React and Tailwind. 

4. Write clean, efficient, and maintainable code. 

5. Troubleshoot and debug issues as they arise. 

6. Optimize the application for performance, scalability, and usability. 

7. Stay updated with the latest trends and technologies in front-end development. 

Skill(s) required 

Backend development 

Frontend developmen 

MySQL 

Node.js 

React 

Tailwind 

CSS 

Who can apply 

Only those candidates can apply who: 

1. Have minimum 3 years of experience 

Other requirements 

1. Bachelor's degree in Computer Science or related field. 

2. Minimum 3-4 years of experience in front-end development. 

3. Strong proficiency in React, NextJS, HTML, CSS, and JavaScript. 

4. Familiarity with Agile development methodologies. 

5. Excellent problem-solving abilities and attention to detail. 

6. Ability to work collaboratively in a remote team environment. 

7. Strong communication skills in English. 

Perks 

5 days a week 

Work from home 

Number of openings 

2 

About Strategy Connect

We, at Strategy Connect, are building a B2B SaaS solution for strategy consulting companies to manage their teams and workflows. We are a Dubai-based & well-funded company that has been a part of TechStars. We are working with Government entities in the UAE. Our development and design functions are based out of India. 

At CraftMyPlate, we’re building something simple, yet meaningful — a way for people to order great food for gatherings without the usual chaos. From small family functions to big corporate events, we help people celebrate better — with curated menus, transparent pricing, and genuine care.

But at the heart of it, we’re not just about food or tech. We’re about how we make people feel — and marketing plays a big role in that.

What We’re Looking For

We’re looking for someone who can think clearly, communicate creatively, and most importantly — cares deeply about the craft.

Someone who’s not chasing hacks or vanity metrics, but who wants to build real connection, trust, and growth — one piece of content, one campaign, and one customer at a time.

You’ll lead our growth and marketing efforts across channels — and help shape how the world sees CraftMyPlate. From videos to campaigns, from analytics to brand voice — this role is about bringing it all together.

What You'll Own

🎯 Growth & Strategy

• Plan and execute customer growth initiatives across digital & offline
• Build funnels that don’t just convert, but make people trust us
• Understand what’s working, what’s not — and move fast with insight

🎥 Content & Communication

• Work with editors, writers, designers, and tools to bring ideas to life
• Define how we speak, what we share, and what we stand for as a brand
• Make content that people don’t just scroll past — but remember

📊 Analytics & Iteration

• Track what matters, and learn from what doesn’t
• Bring data and creativity together — not just in reports, but in decisions

🤝 Team & Collaboration

• Lead a small but growing content/marketing team
• Collaborate with founders, product, ops, and creators — like it’s one kitchen
• Use AI tools smartly to speed up, not replace, your creative thinking

Who This Is For

You’re someone who:

• Has 4 years of experience in growth, content, or brand marketing
• Thinks both creatively and analytically
• Is excited to work with a small team, and grow with it
• Can take ownership without needing a title to act like a leader
• Loves seeing impact — whether it’s in a campaign or a customer’s smile
• Have worked in a consumer startup before
• Use AI tools (like ChatGPT, editing tools) to make content smarter, not harder
• Care more about doing meaningful work than just ticking boxes

Why This Role Matters

Because every person who hears about CraftMyPlate hears it through you.

Position 1: Lead Generation Expert (Multi-Channel)

Location: Spacejam, Sector 82, Mohali

Salary: ₹30,000/month

Experience Required: 3+ years

Work Type: On Site

About the Role

We’re looking for a Lead Generation Expert who can bring qualified leads consistently—not limited to freelancing platforms. If you understand how to convert cold contacts into warm leads using a mix of platforms and outreach strategies, we want to talk.

Key Responsibilities

●      Generate leads daily from platforms like Upwork, PeoplePerHour, Fiverr, etc.

●      Run email campaigns and cold outreach via tools like Instantly, Apollo, or Lemlist.

●      Use LinkedIn and Twitter actively to connect and nurture leads.

●      Build lead databases from directories, web scraping, or AI tools.

●      Track performance and ensure consistency in lead flow.

●      Coordinate with the sales and marketing team for feedback loops.

Requirements

●      Minimum 3 years of experience in lead generation across multiple channels.

●      Proven track record of delivering high-quality, converting leads.

●      Comfortable using automation tools and CRMs.

●      Strong written English and communication skills.

Must be result-driven. We’re investing in you—we expect results.

Key Responsibilities

• Backend & API Engineering (60% Focus)
• Design and implement REST APIs and microservices for high-performance AI systems.
• Apply enterprise object-oriented programming best practices for secure, scalable backend services.
• Integrate AI-powered features with cloud-native architectures.
• Generative AI & LLM Development (40% Focus)
• Build LLM-powered features with the OpenAI API or other LLM APIs (reasoning and non-reasoning models, temperature tuning, version control).
• Implement retrieval-augmented generation (RAG).
• Apply advanced prompt engineering and model tuning techniques for optimized results.
• Deploy and manage solutions using Docker and secure integrations (e.g., SSO, Google Drive).

What We’re Looking For

• 10+ years of backend engineering experience (REST APIs, microservices, OO enterprise architecture).
• 3+ years of experience building AI/ML solutions (LLMs, RAG, OpenAI API).
• Strong hands-on Python expertise and object-oriented design patterns.
• Hands-on experience with Langchain, Lambda, Docker, and secure system integrations.
• Proven track record delivering production-ready, scalable applications.

Job Title: AI Architect

Location: [Pune, Onsite]

Experience: 6+ Years

Employment Type: Full-Time

Working requirements:

Engagement Commitment: 3 months to start with to ensure that the engagement is progressing well.

Deliverable: Minimum Viable Product is already there, enhancement is required

Working Hours Preferable: California Time (which is ~12 hours behind IST), requesting this because then it will be easier to huddle and both US and India team can work simultaneously

About the Role:

We are seeking an experienced and visionary AI Architect to lead the design, development, and deployment of cutting-edge AI/ML solutions. The ideal candidate will have a strong foundation in artificial intelligence, machine learning, data engineering, and cloud technologies, with the ability to architect scalable and high-performing systems.

Key Responsibilities:

• Design and implement end-to-end AI/ML architectures for large-scale enterprise applications.
• Lead AI strategy, frameworks, and roadmaps in collaboration with product and engineering teams.
• Guide the development of machine learning models (e.g., NLP, Computer Vision, Predictive Analytics).
• Define best practices for model training, validation, deployment, monitoring, and versioning.
• Collaborate with data engineers to build and maintain robust data pipelines.
• Choose the right AI tools, libraries, and platforms based on project needs (e.g., TensorFlow, PyTorch, Hugging Face).
• Work with cloud platforms (AWS, Azure, GCP) to deploy and manage AI models and services.
• Ensure AI/ML solutions comply with data privacy, governance, and ethical standards.
• Mentor junior AI engineers and data scientists.

Required Skills & Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
• 6+ years of experience in AI/ML, with at least 2+ years in an architecture or lead role.
• Strong experience with AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn, etc.
• Deep understanding of LLMs, transformers, GPT models, and fine-tuning techniques.
• Proficiency in Python and data processing libraries (Pandas, NumPy, etc.).
• Experience with cloud-based AI services (AWS SageMaker, Azure ML, Vertex AI, etc.).
• Knowledge of MLOps practices, CI/CD for models, and model monitoring.
• Familiarity with data lakehouse architecture, real-time inference, and APIs.
• Strong communication and leadership skills.

Preferred Qualifications:

• Experience with generative AI applications and prompt engineering.
• Knowledge of reinforcement learning or federated learning.
• Publications or contributions to open-source AI projects.
• AI certifications from cloud providers (AWS, Azure, GCP).

Why Join Us?

• Work on transformative AI projects across industries.
• Collaborate with a passionate and innovative team.
• Flexible work environment with remote/hybrid options.
• Continuous learning, upskilling, and growth opportunities.

Role Description

This is a full-time on-site role for the Head of Artificial Intelligence at KGiSL Educational Institutions, located in Coimbatore. The Head of Artificial Intelligence will be responsible for overseeing and developing AI strategies and initiatives. Daily tasks include leading AI research projects, developing innovative AI solutions, managing a team of AI professionals, and collaborating with various departments to integrate AI methodologies into different functions. The role also involves staying current with industry advancements and ensuring compliance with ethical and regulatory standards.

Qualifications

• Strong background in Computer Science and Data Science
• Extensive experience in Pattern Recognition, Natural Language Processing (NLP), and Computer Vision
• Proven leadership and team management skills
• Excellent problem-solving and analytical skills
• Advanced degree Master's in a related field
• Strong communication and collaboration skills
• Experience in the educational sector is a plus
• 8 Years of experience in Artificial Intelligence

The Opportunity: Start Orchestrating

Software engineering is at a historic inflection point. We are moving beyond AI as a simple code completion tool into a new era of agentic development. AI systems like Google's Gemini CLI are no longer just assistants; they are semi-autonomous partners capable of tackling complex engineering tasks, from fixing bugs to implementing entire features from a high-level prompt.

We are building an elite team to operate at this new frontier. We seek a deeply technical, hands-on pioneer—an "AI Orchestrator"—who lives on the command line and is obsessed with achieving a step-change in development velocity. Your mission is not to manage a team that writes code, but to architect and orchestrate a fleet of AI agents to build the future of our software. This is a role for an ultra-high-energy individual contributor who wants to move beyond incremental improvements and define how high-performance software is built for the next decade.

What You'll Do: Your Mission & Core Mandate

As our lead AI Orchestrator, you will be a hands-on-keyboard pioneer, responsible for building the systems and workflows that fuse human ingenuity with agentic AI power.

• Architect Agentic Workflows: You will design, implement, and govern the end-to-end "human-in-the-loop" development lifecycle. This means architecting how we use Gemini CLI at every stage, from turning architectural diagrams into code to establishing multi-agent TDD (Test-Driven Development) patterns.
• AI-Generated Code Reviewer: Provide hands-on architectural stewardship. You will conduct rigorous code reviews of AI-generated code, ensuring it meets our exacting standards for scalability, performance, and security.
• Mentor a New Class of Engineer: You will be the catalyst for transforming future hires from traditional coders into elite AI Orchestrators. You will establish the best practices, training, and "critical collaboration" culture required to master this new paradigm.

Who You Are: A Profile of a Pioneer

This is not a role for a manager who delegates; it is for a deeply technical leader who architects the future from the command line.

Foundational Engineering Excellence:

• Real world experience and/or BS, MS, or Ph.D. in Computer Science or a related quantitative field.
• 7+ years of professional software engineering experience, with 3+ years in a Staff, Principal, or Tech Lead capacity or similar.
• Expert-level proficiency in at least one of: Python, Go, Rust, or TypeScript.
• Deep, hands-on experience with cloud-native architecture (GCP, AWS, Azure), distributed systems, and MLOps e.g. (CI/CD, Docker, Kubernetes, or Terraform).

Essential Hands-On Mastery:

• You live in the terminal. You have daily, expert-level, hands-on experience using agentic CLI tools (Gemini CLI, Claude Code) to perform complex, multi-day engineering tasks.
• You build the connections. You have architected, built, and deployed custom Model Context Protocol (MCP) servers to integrate AI agents with production-grade internal systems.
• You are a master of prompts and workflows. You have designed and implemented novel, multi-agent workflows and can architect "mega-prompts" or custom slash commands that codify sophisticated business logic for an AI to execute.
• You understand AI governance. You have implemented formal, risk-based strategies for when to allow autonomous agent actions versus when to require manual sign-off, balancing velocity with safety.

Your Pioneer Spirit:

We know you don't have "5+ years of experience" with these tools—they're too new. If you figured it out yesterday that's fine.

The ideal candidate is an obsessive early adopter who has been relentlessly experimenting with these technologies. Your qualifications will be measured not in years, but in the depth of your practical knowledge and a portfolio that demonstrates:

• Massive Impact: Evidence of using agentic AI to achieve significant outcomes (e.g., a 10x reduction in dev time, completion of a previously blocked project).
• Disruptive Mentorship: A track record of leading and upskilling an engineering team in the adoption of a new, game-changing technology.

Why Join Us?

This is a career-defining opportunity to be at the epicenter of a paradigm shift.

• Define the Future: Your work will not just be implemented here; it will be studied elsewhere. You will establish the patterns that shape the industry.
• Autonomy & Impact: Reporting directly to senior leadership, you will be given the resources and trust to build a world-class AI-native development platform.
• Unprecedented Challenge: You will solve novel problems at the intersection of AI, software engineering, and HCI for which no playbook exists.
• A Team of Pioneers: Join a small, elite team of engineers who share your passion and drive to push the boundaries of what's possible.

Position: AI Knowledge Manager

Department: Founder's Office

Reports to: Founder

Employment Type: Full-time

Position Overview:

MyOperator seeks a strategic AI Knowledge Manager to join our Founder's Office team. This role is responsible for managing and organising information that powers our AI systems, chatbots, and internal collaboration platforms. You will serve as the central architect of our organisational knowledge ecosystem, ensuring information is effectively structured and accessible for both customer-facing AI interactions and internal operations.

The position requires critical thinking, analytical abilities, and collaborative skills to identify, capture, and organise knowledge from across departments into a unified, AI-ready knowledge management system. This knowledge will become the central repository for documentation and process understanding, directly impacting how our AI systems learn, adapt, and serve customers.

Key Responsibilities:

• Knowledge Architecture & AI Integration - Develop AI-aligned knowledge management strategies, taxonomies, and information hierarchies. Optimise knowledge assets for AI processing (NLP, semantic tagging). Implement knowledge APIs.
• Cross-Departmental Knowledge Capture - Liaison between departments to identify, extract, and document critical organisational knowledge (explicit and tacit). Conduct interviews with SMEs. Develop standardised documentation.
• AI Performance Optimisation - Improve chatbot/AI performance via knowledge enhancement. Analyse conversation logs for knowledge gaps. Establish AI performance metrics and testing protocols (A/B testing, correlation). Implement feedback loops.
• Knowledge Quality & Platform Management - Maintain rigorous knowledge quality standards (review, approval, audit). Select and manage knowledge management platforms. Oversee technical configuration (search optimisation, access controls, integrations). Ensure infrastructure performance.
• Continuous Improvement & Gap Analysis - Evaluate chatbot performance and identify AI knowledge gaps. Develop strategies to address deficiencies. Create KPIs for knowledge adoption, utilisation, and AI performance correlation. Drive a culture of knowledge sharing.
• Essential Skills - Critical Thinking & Analysis: Exceptional analytical capabilities with the ability to break down complex processes into structured, documentable components. Strong problem-solving skills for diagnosing AI performance issues and developing targeted interventions.
• Communication & Collaboration: Outstanding interpersonal skills for conducting productive interviews with subject matter experts across all organisational levels. Excellent written communication for creating clear documentation serving both human and AI users.
• Project Management: Strong organisational skills for coordinating complex knowledge management initiatives across multiple departments. Ability to manage concurrent projects while maintaining quality standards.
• Change Management: Skills to drive adoption of new knowledge management processes and technologies. Ability to influence without direct authority and build consensus around knowledge initiatives.

Success Metrics:

• AI Performance: Measurable improvements in chatbot first-contact resolution rates, reduced escalation rates, and enhanced customer satisfaction scores.
• Knowledge Coverage: Achievement of target knowledge base completeness across business domains and reduction in identified knowledge gaps.
• Organisational Adoption: Increased participation rates from departments, sustainable knowledge contribution workflows, and improved utilisation of knowledge management tools.
• Operational Efficiency: Reduced time spent searching for information, decreased training time for new employees, and demonstrated ROI on knowledge management investments.

What We Offer:

• Direct exposure to strategic decision-making as part of the Founder's Office team.
• Opportunity to shape the technological direction of a growing company.
• Access to cutting-edge AI and knowledge management technologies
• Professional development resources, including conferences, certifications, and training.
• Competitive compensation package with performance bonuses and equity participation.
• Comprehensive benefits and flexible working arrangements.

LLM Engineer 

3-6 Years

Bengaluru/Mumbai/Remote

WHO WE ARE: 

TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who’s who of the financial service industry. We are creating engaging wealth experiences to better financial lives through AI and investment intelligence-powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes. 

We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes. In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions. 

OUR VALUES: Go with your GUT 

● Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos aside to find our genius zones. With self-awareness and integrity we strive to be the best we can possibly be. No excuses. 

●Understanding through Listening and Speaking the Truth. We value transparency. We communicate with radical candor, authenticity and precision to create a shared understanding. We challenge, but once a decision is made, commit fully. 

●I Win for Teamwin. We believe in staying within our genius zones to succeed and we take full ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win together.

Key responsibilities: 

• Work closely with the design and product teams to help craft conversational experiences for our users 
• Ability to work independently to deliver features that the team design 
• You need to own outcomes without someone watching over you 
• Understand the data we have and identify how we could leverage it to create more personalised experiences for our users 
• Fine tune models with data specific to our use case 
• Use different RAG approaches to augment data that the LLM already has ● Ability to be a leader and independent contributor (we’re a startup so be ready to do whatever it takes) 
• Setup new workflow, systems and tool from the ground up (you will have support, but we’re building things from scratch)
• 
  

Requirements: 

• 3+ years of experience
• Experience working with LLMs and Generative AI 
• Experience building conversational bots 
• Experience fine tuning models 
• Experience using RAG base approaches 

Understanding of financial concepts and investing would be a big plus but not required

About Raiseli

Raiseli is a cutting-edge fintech SaaS platform revolutionizing fund management and real estate investment through blockchain technology. We empower institutional investors, fund managers, and private investors with transparent, secure, and efficient investment solutions.

Our mission is to raise the standard of how investments are managed, traded, and accessed globally.

We are expanding our team to build the next-generation blockchain infrastructure that underpins our investment marketplace, tokenization framework, and real-time transaction ledger.

What You’ll Do

• Design, develop, and deploy blockchain-based applications and smart contracts (Ethereum, Polygon, or other EVM-compatible chains).
• Implement tokenization protocols for fractional ownership of real estate and funds.
• Develop secure and scalable APIs and integrations with wallets, custodians, and payment systems.
• Collaborate with product, UI/UX, and AI teams to integrate blockchain features into our SaaS platform.
• Conduct code reviews, testing, and security audits to ensure compliance with best practices.
• Stay ahead of blockchain trends and suggest innovations to enhance the platform.

Key Requirements

• 3+ years of experience in blockchain development.
• Strong proficiency in Solidity, Web3.js/ethers.js, and smart contract frameworks (Hardhat, Truffle).
• Experience with DeFi protocols, token standards (ERC20, ERC721, ERC1155), and NFTs.
• Familiarity with layer-2 solutions, cross-chain bridges, and scalable blockchain architectures.
• Proficiency in backend languages (Node.js, Python, or Go) and database integration (MySQL, MongoDB).
• Understanding of cryptographic principles and security best practices in blockchain.
• Experience with cloud services (AWS, GCP, Azure) and CI/CD pipelines is a plus.
• Passion for fintech, tokenization, and decentralized finance.

Nice-to-Have

• Experience in real estate tokenization or asset-backed token projects.
• Knowledge of regulatory compliance in blockchain-based financial applications.
• Familiarity with AI/ML integrations for fintech platforms.

Why Join Us?

• Work on innovative blockchain solutions shaping the future of fintech.
• Flexible remote work with a global team.
• Competitive compensation and equity opportunities.
• Direct involvement in building a platform that impacts institutional and private investors.

Interested?

Apply directly on Cutshort.io

Request for Proposal (RFP): AI Receptionist for Helvetica Incoming Broker Calls

Company Overview

Helvetica Group is a direct commercial real estate lender and investment bank, specializing in providing alternative financing solutions for complex real estate transactions. We focus on fast, innovative, and common-sense underwriting to serve brokers, investors, and borrowers nationwide.

Website: helveticagroup.com

Project Overview

We are seeking an experienced AI Engineer to design and implement an AI Receptionist using Retell AI and Make (formerly Integromat). This AI Receptionist will handle incoming broker calls, collect loan request details, integrate with Salesforce, and automate follow-up communications.

Scope of Work

The solution should:

1. Receive Incoming Calls

• Integrate with our phone system and Retell AI to answer broker calls professionally.
• Detect caller intent and initiate a structured loan intake conversation.

1. Prompt Loan Request Details

• Use natural language conversation to gather key loan scenario data:
• Borrower and broker information
• Property type, location, value
• Loan amount requested, purpose, and timeline
• Any special circumstances (e.g., foreclosure bailout, BK buyout, etc.)

1. Data Handling & Automation

• Send collected call details to Salesforce as a new Lead.
• Email a summary of the loan request to our broker group.
• Send an automated confirmation email to the caller.
• Send an SMS confirmation text to the caller with a thank-you and next steps.

1. Integration Requirements

• Use Retell AI for call handling and voice interactions.
• Use Make for workflow automation (Salesforce, email, SMS).
• Ensure all data flows securely and complies with applicable regulations.

Deliverables

• Fully functional AI Receptionist integrated with our systems
• Retell AI call flow design and scripts tailored to Helvetica's lending guidelines
• Make (Integromat) scenarios for:
• Salesforce lead creation
• Email notifications (internal and external)
• SMS confirmation to caller
• Documentation for setup, maintenance, and future scaling
• Optional: Dashboard for call analytics and performance monitoring

Skills Required

• Experience with Retell AI (or similar conversational AI voice platforms)
• Expertise in Make (Integromat) or similar workflow automation tools
• Strong knowledge of Salesforce API integrations
• Experience with Twilio or other SMS/email APIs is a plus
• Understanding of secure data handling and compliance (preferred)

Proposal Requirements

Please include in your proposal:

• Relevant experience with Retell AI, Make, and Salesforce integrations
• Portfolio of similar AI automation projects (voice + CRM)
• Estimated timeline for project completion
• Proposed budget and pricing structure
• Any additional recommendations to enhance this solution

Timeline

• Proposal Submission Deadline: [Insert Date]
• Project Kickoff: [Insert Date]
• Expected Completion: Within 4-6 weeks from kickoff

Budget

We are open to proposals with fixed price or hourly rates. Please provide a clear breakdown of your pricing.

How to Apply

Submit your proposal directly through Upwork, including all requested details.

Would you also like me to include:

• Sample call flow conversation script (to attract engineers who understand the flow)?
• Technical architecture diagram (for clarity on integrations)?
• I can draft both to include in your posting. Shall I proceed?

Location: Remote (US preferred) | Type: Full-Time | Team Size: 12-person product org

Industry: Fintech / Lending SaaS | Stack: PHP, Python, AWS, LangChain, OpenAI, CrewAI

🧠 

What We’re Building

We’re LendingWise — a B2B SaaS platform powering over 250 lenders, brokers, and banks nationwide. We’re launching a next-gen AI Agent Platform for the mortgage/lending lifecycle: document verification, pricing engines, automated workflows, and multi-agent orchestration — all fully integrated with our CRM/LOS.

You’ll lead the design and development of:

• Modular AI agent system (n8n, CrewAI, LangChain, or your recs)
• Workflow builder UI (admin-facing, trigger/condition/action logic)
• Tool registry + field mapping layer (to connect LendingWise + 3rd-party APIs like CoreLogic, Qualia)
• Document AI module using OCR (Textract or Google)
• Python AI microservices running next to our PHP monolith
• OpenAPI 3.1 upgrade of our current endpoints

🛠️ 

Your Role

• Act as hands-on architect and lead engineer
• Own integration of LLMs, workflows, and document tools into real loan files
• Design scalable agent orchestration, triggers, and tool execution
• Collaborate with CTO, 5 full stack engineers (PHP), and 2 product owners
• Prototype and ship the MVP in 4–6 months, scale from there

💡 

About You

• You’ve built real-world agent workflows or automation platforms (AI or not)
• You’re fluent in LangChain, CrewAI, OpenAI API, or similar
• You’ve shipped production software integrating external APIs and business logic
• You’re comfortable leading architecture, writing Python services, and advising on where PHP stays or goes
• You balance speed with technical vision — you build for iteration, not just demos

🧰 

Bonus Skills

• Experience with mortgage or financial software
• PHP knowledge (to interface with legacy systems)
• Familiarity with MCP (Model Context Protocol) or tool registry concepts
• Vector databases, RAG, embeddings, Doc AI APIs

📈 Why This Role?

• Massive greenfield AI project with real customers, real use cases, real docs
• No fluff. Small team. Fast cycles. Visible outcomes.
• You’ll architect something that might become the “AI Copilot of Lending”

✅ Apply if you’re ready to:

• Own the architecture
• Write production Python
• Help shape the next chapter of AI in lending tech

Research Intern 

Position Overview

We are seeking a motivated Research Intern to join our AI research team, focusing on Text-to-Speech (TTS) and Automatic Speech Recognition (ASR) technologies. The intern will play a crucial role in evaluating our proprietary models against industry benchmarks, analyzing competitive voice agent platforms, and contributing to cutting-edge research in speech AI technologies.

Key Responsibilities

Model Evaluation & Benchmarking

• Conduct comprehensive evaluation of our TTS and ASR models against existing state-of-the-art models
• Design and implement evaluation metrics and frameworks for speech quality assessment
• Perform comparative analysis of model performance across different datasets and use cases
• Generate detailed reports on model strengths, weaknesses, and improvement opportunities

Competitive Analysis

• Evaluate and compare our voice agent platform with existing solutions (Vapi, Bland AI, and other competitors)
• Analyze feature sets, performance metrics, and user experience across different voice agent platforms
• Conduct technical deep-dives into competitive architectures and methodologies
• Provide strategic recommendations based on competitive landscape analysis

Research & Innovation

• Monitor and analyze emerging trends in ASR, TTS, and voice AI technologies
• Research novel approaches to improve ASR and TTS model performance
• Investigate new architectures, training techniques, and optimization methods
• Stay current with academic literature and industry developments in speech AI

Model Development & Training

• Assist in training TTS and ASR models on various datasets
• Implement and experiment with different model architectures and configurations
• Perform model fine-tuning for specific use cases and domains
• Optimize models for different deployment scenarios (edge, cloud, real-time)
• Conduct data preprocessing and augmentation for training datasets

Documentation & Reporting

• Maintain detailed documentation of experiments, methodologies, and results
• Prepare technical reports and presentations for internal stakeholders
• Contribute to research publications and technical blog posts
• Create visualization and analysis tools for model performance tracking

Required Qualifications

Education & Experience

• Currently pursuing or recently completed Bachelor's/Master's degree in Computer Science, Electrical Engineering, Machine Learning, or related field
• Strong academic background in machine learning, deep learning, and signal processing
• Previous experience with speech processing, NLP, or audio ML projects (academic or professional)

Technical Skills

• Programming Languages: Proficiency in Python; experience with PyTorch, TensorFlow
• Speech AI Frameworks: Experience with libraries like librosa, torchaudio, speechbrain, or similar
• Machine Learning: Strong understanding of deep learning architectures, training procedures, and evaluation methods
• Data Processing: Experience with audio data preprocessing, feature extraction, and dataset management
• Tools & Platforms: Familiarity with Colab or Jupyter notebooks, Git, Docker, and cloud platforms (AWS/GCP/Azure)

Preferred Qualifications

• Experience with transformer architectures, attention mechanisms, and sequence-to-sequence models
• Knowledge of speech synthesis techniques (WaveNet, Tacotron, FastSpeech, etc.)
• Understanding of ASR architectures (Wav2Vec, Whisper, Conformer, etc.)
• Experience with model optimization techniques (quantization, pruning, distillation)
• Familiarity with MLOps tools and model deployment pipelines
• Previous work with voice AI applications or conversational AI systems

Skills & Competencies

Technical Competencies

• Strong analytical and problem-solving abilities
• Ability to design and conduct rigorous experiments
• Experience with statistical analysis and performance metrics
• Understanding of audio signal processing fundamentals
• Knowledge of distributed training and large-scale model development

Soft Skills

• Excellent written and verbal communication skills
• Ability to work independently and manage multiple projects
• Strong attention to detail and commitment to reproducible research
• Collaborative mindset and ability to work in cross-functional teams
• Curiosity and passion for staying current with AI research trends

What You'll Gain

Learning Opportunities

• Hands-on experience with state-of-the-art speech AI technologies
• Exposure to full model development lifecycle from research to deployment
• Mentorship from experienced AI researchers and engineers
• Opportunity to contribute to cutting-edge research projects

Professional Development

• Experience with industry-standard tools and methodologies
• Opportunity to present research findings to technical and business stakeholders
• Potential for research publication and conference presentations
• Networking opportunities within the AI research community

Job Title: Sales Executive (1 Yrs Exp) – Enterprise AI Software Pre-Sales

About PGAGI:

At PGAGI, we believe in a future where AI and human intelligence coexist in harmony, creating a world that is smarter, faster, and better. We are not just building AI; we are shaping a future where AI is a fundamental and positive force for businesses, societies, and the planet.

Role Overview:

We are seeking a Sales Executive with 1+ years of experience in B2B IT/Tech/AI/AI Solutions sales and pre-sales activities. This is a remote role with company-provided leads. The candidate will be responsible for driving enterprise AI software sales, conducting solution presentations, and collaborating with technical teams to craft client-focused proposals.

Key Responsibilities:

• Drive B2B enterprise pre sales for AI and solutions, managing the end-to-end sales and pre-sales cycle.

• Engage with potential clients (company-provided leads) to understand business pain points and propose AI-driven software solutions.

• Lead pre-sales activities, including product demonstrations, solution presentations, technical discussions, and proof-of-concept (POC) design.

• Collaborate with the AI and technical teams to design custom solutions and respond to RFPs/RFIs.

• Prepare business and technical proposals, pricing models, and solution roadmaps.

• Build and maintain strong relationships with C-level executives and key decision-makers in enterprise accounts.

• Track, manage, and report pipeline and pre-sales activities using CRM tools.

• Meet or exceed monthly and quarterly B2B sales targets.

Requirements:

• 1+ years of experience in B2B IT/Tech/AI/Solution sales and pre-sales.

• Proven track record in solution selling or enterprise-level software sales.

• Solid understanding of AI, Solution development , or cloud-based solutions and their business applications.

• Exceptional presentation, negotiation, and proposal writing skills.

• Experience with consultative and solution-oriented sales for mid to enterprise clients.

• Familiarity with CRM tools (HubSpot, Salesforce, etc.) and sales automation.

• Bachelor’s degree in IT, Business, Engineering, or a related field.

What We Offer:

• Competitive salary + attractive performance incentives.

• Fully remote, flexible work environment.

• Opportunity to work with cutting-edge AI  products.

• Career growth with a fast-scaling AI consultancy.

• Exposure to global B2B enterprise clients . 

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.