50+ Artificial Intelligence (AI) Jobs in India

Role : Data Science Intern Teaching Assistant

Location: HSR Bangalore, WFO | 5.5 Days

Duration 3 Months

Stipend: 12000

Pre-Placement Offer (PPO) based on performance.

About the Role

We are seeking a motivated and knowledgeable Data Science Intern Teaching Assistant to support our academic team in delivering high-quality learning experiences. This role is ideal for someone who enjoys teaching, solving problems, and wants to gain hands-on experience in the EdTech and Data Science domain.

As a Teaching Assistant, you'll help learners understand complex data science topics, resolve doubts, assist during live classes, and contribute to high-quality content development.

Key Responsibilities

 Assist instructors during live classes by providing support and addressing learners queries.

 Conduct doubt-solving sessions to help learners grasp difficult concepts in Data Science, Python, Machine Learning, and related topics.

 Contribute to content creation and review, including assignments, quizzes, and learning materials.

 Provide one-on-one academic support and mentoring to learners when needed.

 Ensure a positive and engaging learning environment during sessions.

Requirements

 Bachelor's in Data Science, CSE, Statistics, or a related field

 Strong foundation in Python, Statistics, Machine Learning, and Data Analysis.

 Excellent communication and interpersonal skills.

 Ability to break down technical concepts into simple explanations.

 Prior experience in teaching, mentoring, or assisting is a plus.

 Passionate about education and helping others learn.

Perks

 Hands-on teaching and mentoring experience.

 Exposure to real-time learners interaction and feedback.

 Mentorship from senior instructors and data science professionals.

 Opportunity to receive a Pre-Placement Offer (PPO) based on performance.

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.

Desired Competencies (Technical/Behavioral Competency)

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

2. Deep Learning Frameworks: PyTorch, spaCy, Keras

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

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

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

6. Programming experience in Python

7. Strong written and verbal communications

8. Excellent interpersonal and collaboration skills.

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

2. Experience with building or maintaining MLOpspipelines.

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

4. Exposure to Docker, Kubernetes

Duties

About Us:

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

Responsibilities:

Design, Build, and Deploy Scalable ML Models

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

Develop NLP-Based Automation Solutions

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

Prototype and Implement Generative AI Tools

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

Integrate ML Models with APIs and Tools

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

Maintain CI/CD for ML Features

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

Review, Debug, and Optimise Models

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

Cross-Team Communication

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

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

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

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

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

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

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

·      Communicate technical concepts effectively across cross-functional teams.

Essentials From Day 1:

Security and Compliance:

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

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

Sandboxing and Risk Management:

         • Use sandboxed environments for testing new ML features.

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

         • Use sandboxed environments for testing and development.

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

Qualifications:

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

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

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

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

·      Basic working knowledge of Generative AI techniques and frameworks.

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

·      Excellent analytical thinking and debugging capabilities.

·      Strong interpersonal and communication skills for effective team collaboration.

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

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

SN Role descriptions / Expectations from the Role

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

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

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

Job Overview:

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

Required Skills & Qualifications:

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

Preferred Qualifications:

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

Key Responsibilities:

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

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

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

What we’re looking for:

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

What we offer:

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

Role : AIML Engineer

Location : Madurai

Experience : 5 to 10 Yrs

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

Language: Python

DBs : SQL

Core Libraries:

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

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

Explainability : Shap / Lime

Required skills:

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

AWS Services:

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

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

✅ Real-time self-coding based on tasks  

✅ Autonomous multi-agent collaboration  

✅ AI-powered decision-making  

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

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

### Responsibilities:

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

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

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

- Work on real-time task execution pipelines  

- Build cross-platform apps using Electron or Flutter  

- Implement Redis, Vector databases, scalable APIs  

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

### Must-Have Skills:

- Python (advanced, AI applications)  

- AI/ML experience, including multi-agent orchestration  

- LLM integration knowledge  

- Full-stack development: React or Next.js  

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

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

- Cloud deployment (AWS, GCP)  

### Good to Have:

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

- Microservices and secure system design  

- Knowledge of AI for workflow automation and productivity tools  

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

Job Overview

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

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

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

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

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

paced environments is critical.

Responsibilities

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

like Meta, Azure OpenAI, Claude, and Mistral.

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

models with business requirements and user needs.

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

with security and governance standards.

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

with business strategies and customer expectations.

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

performance through techniques like quantization and model tuning.

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

cost optimization while maintaining performance and scalability.

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

accurate and relevant outputs.

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

flexible product architecture.

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

enhance user experience and scalability.

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

solutions in product development.

Qualifications

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

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

products.

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

with a focus on AI-driven features.

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

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

services (AWS, Azure, Google Cloud).

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

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

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

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

product-market fit, and post-launch optimization.

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

SaaS product success.

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

performance.

About the CryptoXpress Partner Program

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

(Apply link at the bottom)

More Details:

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

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

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

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

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

About the Role

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

Key Responsibilities

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

Skills & Qualifications

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

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

Pro Tip: Tips for Application Success

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

How to Apply:

Interested candidates must complete the application form at 

https://forms.gle/CCaAvS6yLE92XAzU6

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

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

What You’ll Do:

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

• Translate/adapt dialogues across English + 1 Indian language

• Adjust pitch, emotion, and AV timing

• Work with tech + creative teams to refine workflows

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

You Are:

• Fluent in English + 1 Indian regional language

• Detail-obsessed and creatively curious

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

Freshers welcome. Passion matters most.

Key Responsibilities

• Plan and execute comprehensive digital marketing strategies across SEO, social media, paid advertising, and performance marketing.
• Optimize website performance to improve visibility, user experience, and organic traffic.
• Manage and scale paid campaigns on platforms such as Google Ads, Meta Ads, and LinkedIn, ensuring alignment with business goals.
• Analyze campaign performance, track KPIs, and generate insights using tools like Google Analytics, Search Console, and Data Studio.
• Collaborate with creative, content, and development teams to ensure cohesive and effective campaign execution.
• Communicate with clients or stakeholders, presenting reports, insights, and recommendations.
• Stay updated with the latest digital marketing trends and apply innovative tactics to drive continuous improvement and ROI.

Skills & Experience

• 3+ years in digital marketing (agency or in-house).
• Proficient in tools like Google Ads, Meta Ads, GA, SEMrush, etc.
• Strong analytical, communication, and project management skills.
• Experience in content strategy, ad copywriting, and campaign optimization.
• Ability to manage multiple projects and meet deadlines.
• Should have working experience in Digital Marketing Agency

What’s in It for You

• Work on diverse projects with global exposure.
• Opportunity for career growth and skill development.
• Creative freedom and a supportive team environment.

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

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

Required Skills: Python, AI, Prompting, ML understanding

Eligibility: ALL

Degree: ALL

Branch: ALL

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

Work Details:

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

Evaluation Process:

Round 1: Offline Assessment at AccioJob Pune Centre

Further Rounds (for shortlisted candidates only):

Profile & Background Screening Round, Company Side Process

Company Side Process

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

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

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

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

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

Roles and Responsibilities - 

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

About Us

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

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

What We Build

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

Evaluation Process

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

Blockchain Data & ML Engineer

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

What You’ll Work On

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

Ideal Traits

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

Bonus Points For

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

What You’ll Gain

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

What We Value:

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

Compensation:

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

Technical Skills – Must have  

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

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

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

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

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

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

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

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

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

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

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

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

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

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

AI-Native Full-Stack Engineer

Location: Pune, India (Onsite)

Experience: 2–5 years

Team: Engineering

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

About FlytBase

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

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

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

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

What You’ll Do

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

You’re a Great Fit If You...

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

Our Stack

React? Rust? Firebase?

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

• Learn fast
• Build faster
• Adapt even faster

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

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

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

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

What You'll Do:

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

What Makes You a Great Fit:

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

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

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

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

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

Why Join Us?

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

Job description

Brief Description

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

Job Description

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

Key Responsibilities:

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

Required Skills:

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

Education Qualification:

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

Education:

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

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

Experience:

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

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

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

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

Skills :

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

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

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

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

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

About Us:

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

Role Overview:

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

Key Responsibilities:

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

Must-Have Skills:

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

Good to Have:

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

Why Join Us?

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

Position – Python Developer

Location – Navi Mumbai

Who are we

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

Objectives of this Role:

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

Primary Skills – Python Development

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

Testing & Automation

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

DevOps & Cloud

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

Bonus Skills

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

 Other Skills

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

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

About Us

We’re building the product that makes CMOs stop mid-meeting and say: “Wait… show me that again.”

Our platform turns the endless scroll of social video into real-time business intelligence. Not another dashboard — actual insight.

We’re a small, global, insanely fast team that ships AI-powered features in days, not quarters. We don’t just work with AI — we think in AI. This isn’t your typical PM job. This is where you become the product leader you always knew you could be.

What You’ll Do

• Own end-to-end delivery of high-impact AI features — from idea to prototype to production
• Translate abstract ideas into working products in hours or days (not weeks)
• Collaborate closely with engineers who code faster than most people can spec
• Talk to users, read between the lines, and turn chaos into clarity
• Work directly with leadership (including the CPTO) on product strategy
• Balance speed with quality — build fast, but don’t break trust

What We’re Looking For

• 2–4 years of product management experience in fast-moving tech companies
• Experience shipping AI/ML-powered products (e.g. LLMs, GPT-based tools, recommendations, vision, NLP)
• You’re fluent in how models work — transformers, embeddings, fine-tuning, etc.
• Comfortable working with engineering — maybe you even prototype yourself
• Strong product sense — you know when to ask “why,” and when to say “ship it”

Tech Stack You’ll Work With

• AI/ML: OpenAI, LangChain, HuggingFace, Pinecone, Weaviate
• Frontend: React, Next.js
• Backend: Node.js, Python, FastAPI
• Database: PostgreSQL, Redis, MongoDB
• Analytics & Tracking: Mixpanel, PostHog, Segment
• Infra: AWS, Docker, GitHub
• Docs & Collab: Notion, Slack, Figma

Bonus Points If You:

• Have an engineering degree from a Tier 1 college
• Have worked in a zero-to-one or founding team setup
• Read AI papers for fun and know what “RAG” means without googling

Why Join Us?

• Work with a CPTO who codes and engineers who ship like founders
• Ownership from Day 1 — your decisions matter
• No layers. No BS. Just real work, real users, real impact
• A chance to build something truly category-defining

Job Overview

• o Min. 5 years of experience with development in Computer vision, Machine Learning, Deep Learning and associated implementation  of algorithms
• oKnowledge and experience in 
• -Data Science/Data Analysis techniques 
• -Hands on experience of programming in Python, R and MATLAB or Octave
• -Python Frameworks for AI such as TensorFlow, PySpark, Theano etc. 
• & libraries like PyTorch, Pandas, Numpy, etc.
• -Algorithms such as Regression, SVM, Decision tree, KNN and Neural Networks
• Skills & Attributes: 
• oFast learner and Problem solving
• oInnovative thinking
• oExcellent communication skills 
• oIntegrity, accountability and transparency 
• oInternational working mindset 

Job Overview : Data scientist (AI/ML)

• 3 TO 6 years experience in AI/ML 
• Programming languages: Python, SQL, NoSQL
• Frameworks: Spark(Pyspark), Scikit-learn, Scipy, Numpy, NLTK
• DL Frameworks : Tensotflow, Pytorch, LLMs(Transformers/deepseek/ llama), huggingface, llm deployment and inference
• Gen AI Framework: Langchain
• Cloud:AWS
• Tools: Tableau, Grafana

• LLM, GENAI, OCR(optical character recognition)
•  
• Notice Period: Immediate to 15 Days

• 3 + years owning ML / LLM services in production on Azure (AKS, Azure OpenAI/Azure ML) or another major cloud.
• Strong Python plus hands-on work with a modern deep-learning stack (PyTorch / TensorFlow / HF Transformers). 
• Built features with LLM toolchains: prompt engineering, function calling / tools, vector stores (FAISS, Pinecone, etc.). 
• Familiar with agentic AI patterns (LangChain / LangGraph, eval harnesses, guardrails) and strategies to tame LLM non-determinism.
• Comfortable with containerization & CI/CD (Docker, Kubernetes, Git-based workflows); can monitor, scale and troubleshoot live services. 

Nice-to-Haves

• Experience in billing, collections, fintech, or professional-services SaaS. 
• Knowledge of email deliverability, templating engines, or CRM systems. 
• Exposure to compliance frameworks (SOC 2, ISO 27001) or secure handling of financial data.

Job description : 

Roles & Responsibilities :

Build build Knowledge Models and Product Co-Pilots with Agentic AI frameworks.

• Expertise in creating Agentic AI applications that mimic System Experts, Domain Experts, Technology Architects and Designers
•  
• Expertise in creating Small Language Models tuned to a specific Knowledge area as above
•  
• Work with a team of AI experts to create Product Co-pilots for System Engg, Electronics Design, Mechanical Design and integrate with our inhouse Midas Software co-pilots
•  
• Experience in Multi-Modal AI for speech, vision and text models with possibilities to integrate NLP and Indian languages

 Educational qualification:

Masters / Bachelors in Computer Science, Expert Certifications in AI/ML, Deep Tech, GenAI LLMs, Agentic AI Architecting

Experience :

3+ Years in GenAI based LLM Knowledge Models, 10+ Years in AI/ML Programs, 10-12+ Years as AI Architect in Data Modeling, Knowledge Models, Contextual AI Model building, AI/ML and Deep Tech Applications Architecting such as Engineering Co-Pilots

Mandatory/requires Skills :

AI Architecture development, GenAI LLM Knowledge Model Architecting, Data Models / Libraries Creation, Co-Pilot Architecting

We’re building a powerful, AI-driven communication platform — a next-generation alternative to RingCentral or 8x8 — powered by OpenAI, LangChain, and SIP/WebRTC. We're looking for a Full-Stack Software Developer who’s passionate about building real-time, AI-enabled voice infrastructure and who’s excited to work in a fast-moving, founder-led environment.

This is an opportunity to build from scratch, take ownership of core systems, and innovate on the edge of VoIP + AI.

What You’ll Do

• Design and build AI-driven voice and messaging features (e.g. smart IVRs, call transcription, virtual agents)
• Develop backend services using Python, Node.js, or Golang
• Integrate OpenAI, Whisper, and LangChain with real-time VoIP systems like Twilio, SIP, or WebRTC
• Create scalable APIs, handle call logic, and build AI pipelines
• Collaborate with the founder and early team on product strategy and infrastructure
• Participate in occasional in-person strategy meetings (Delhi, Bangalore, or nearby)

Must-Have Skills

• Strong programming experience in Python, Node.js, or Go
• Hands-on experience with VoIP/SIP, WebRTC, or tools like Twilio, Asterisk, Plivo
• Experience integrating with LLM APIs, OpenAI, or speech-to-text models
• Solid understanding of backend design, Docker, Redis, PostgreSQL
• Ability to work independently and deliver production-grade code

Nice to Have

• Familiarity with LangChain or agent-based AI systems
• Knowledge of call routing logic, STUN/TURN, or media servers (e.g. FreeSWITCH)
• Interest in building scalable cloud-first SaaS products

Work Setup

• 🏠 Remote work (India-based, must be reachable for meetings)
• 🕐 Full-time role
• 💼 Direct collaboration with founder (technical)
• 🧘‍♂️ Flexible hours, strong ownership culture

Role Summary:

We are looking for a Marketing Specialist who understands both AI technology and the industrial manufacturing landscape. This person will be responsible for driving awareness, generating demand, and positioning our AI solutions as a critical tool for modern manufacturing.

Key Responsibilities:

• Develop and execute B2B marketing strategies to promote AI products tailored for the manufacturing sector.
• Craft messaging, positioning, and value propositions based on a deep understanding of manufacturing challenges and AI capabilities.
• Create high-impact content: case studies, product briefs, whitepapers, videos, webinars, and customer success stories.
• Work closely with product, sales, and data science teams to translate complex features into customer-focused benefits.
• Plan and manage industry-specific campaigns using digital marketing, email outreach, LinkedIn, and webinars.
• Represent the brand at manufacturing tech expos, webinars, and customer demos.
• Analyze campaign performance and optimize marketing efforts based on data-driven insights.
• Support lead generation and ABM (Account-Based Marketing) activities focused on key enterprise clients.

Required Skills & Qualifications:

• Bachelor's or Master’s in Marketing, Engineering, Business, or related field.
• 3+ years of experience in B2B marketing, ideally in SaaS, AI/ML products, or industrial/manufacturing tech.
• Strong understanding of the manufacturing domain (automotive, steel, FMCG, pharma, etc.).
• Familiarity with AI/ML concepts such as predictive maintenance, anomaly detection, computer vision, digital twins, etc.
• Proficiency in content marketing, digital campaigns, SEO/SEM, and marketing automation tools (e.g., HubSpot, Marketo).
• Excellent written and verbal communication skills with the ability to convey technical concepts in a simple, compelling manner.
• Ability to analyze data, track KPIs, and continuously improve marketing performance.

Preferred:

• Experience in working with data-driven platforms or IIoT (Industrial Internet of Things).
• Exposure to CRM systems like Salesforce.
• Knowledge of analytics tools such as Google Analytics, Power BI, or Tableau.
• Experience collaborating with cross-functional teams including data scientists, engineers, and sales.

Job Title: Node.js / AI Engineer

Department: Technology

Location: Remote

Company: Mercer Talent Enterprise

Company Overview:Mercer Talent Enterprise is a leading provider of talent management solutions, dedicated to helping organizations optimize their workforce. We foster a collaborative and innovative work environment where our team members can thrive and contribute to our mission of enhancing talent strategies for our clients.

Position Overview:We are looking for a skilled Node.js / AI Engineer to join our Lighthouse Tech Team. This role is focused on application development, where you will be responsible for designing, developing, and deploying intelligent, AI-powered applications. You will leverage your expertise in Node.js and modern AI technologies to build sophisticated systems that feature Large Language Models (LLMs), AI Agents, and Retrieval-Augmented Generation (RAG) pipelines.

Key Responsibilities:

• Develop and maintain robust and scalable backend services and APIs using Node.js.
• Design, build, and integrate AI-powered features into our core applications.
• Implement and optimize Retrieval-Augmented Generation (RAG) systems to ensure accurate and context-aware responses.
• Develop and orchestrate autonomous AI agents to automate complex tasks and workflows.
• Work with third-party LLM APIs (like OpenAI, Anthropic, etc.) and open-source models, fine-tuning and adapting them for specific use cases.
• Collaborate with product managers and developers to define application requirements and deliver high-quality, AI-driven solutions.
• Ensure the performance, quality, and responsiveness of AI-powered applications.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of professional experience in backend application development with a strong focus on Node.js.
• 2+ years of hands-on experience in AI-related development, including building applications that integrate with Large Language Models (LLMs).
• Demonstrable experience developing AI agents and implementing RAG patterns.
• Familiarity with AI/ML frameworks and libraries relevant to application development (e.g., LangChain, LlamaIndex).
• Experience with vector databases (e.g., Pinecone, Chroma, Weaviate) is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.

Benefits:

• Competitive salary and performance-based bonuses.
• Professional development opportunities.

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.

● 2+ years of professional experience as a Python Developer.

● 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.

We are seeking a highly skilled Senior/Lead Data Scientist with deep expertise in AI/ML/Gen AI, including Deep Learning, Computer Vision, and NLP. The ideal candidate will bring strong hands-on experience, particularly in building, fine-tuning, and deploying models, and will work directly with customers with minimal supervision.

This role requires someone who can not only lead and execute technical projects but also actively contribute to business development through customer interaction, proposal building, and RFP responses. You will be expected to take ownership of AI project execution and team leadership, while helping Tekdi expand its AI footprint.

Key Responsibilities:

Contribute to AI business growth by working on RFPs, proposals, and solutioning activities.

• Lead the team in delivering customer requirements, ensuring quality and timely execution.

Develop and fine tune advanced AI/ML models using deep learning and generative AI techniques.

• Fine-tune and optimize Large Language Models (LLMs) such as GPT, BERT, T5, and LLaMA.
• Interact directly with customers to understand their business needs and provide AI-driven solutions.
• Work with Deep Learning architectures including CNNs, RNNs, and Transformer-based models.
• Leverage NLP techniques such as summarization, NER, sentiment analysis, and embeddings.
• Implement MLOps pipelines and deploy scalable AI solutions in cloud environments (AWS, GCP, Azure).
• Collaborate with cross-functional teams to integrate AI into business applications.
• Stay updated with AI/ML research and integrate new techniques into projects.

Required Skills & Qualifications:

• Minimum 6 years of experience in AI/ML/Gen AI, with at least 3+ years in Deep Learning/Computer Vision.
• Strong proficiency in Python and popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn).
• Hands-on experience with LLMs and generative models (e.g., GPT, Stable Diffusion).
• Experience with data preprocessing, feature engineering, and performance evaluation.
• Exposure to containerization and cloud deployment using Docker, Kubernetes.
• Experience with vector databases and RAG-based architectures.
• Ability to lead teams and projects, and work independently with minimal guidance.
• Experience with customer-facing roles, proposals, and solutioning.

Educational Requirements:

• Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Information Technology, or related field.

Preferred Skills (Good to Have):

• Knowledge of Reinforcement Learning (e.g., RLHF), multi-modal AI, or time-series forecasting.
• Familiarity with Graph Neural Networks (GNNs).
• Exposure to Responsible AI (RAI), AI Ethics, or AutoML platforms.
• Contributions to open-source AI projects or publications in peer-reviewed journals.

ROLES AND RESPONSIBILITIES

As a Full Stack Developer at GoQuest Media, you will play a key role in building and maintaining

web applications that deliver seamless user experiences for our global clients. From

brainstorming features with the team to executing back-end logic, you will be involved in every

aspect of our application development process.

You will be working with modern technologies like NodeJS, ReactJS, NextJS, and Tailwind CSS

to create performant, scalable applications. Your role will span both front-end and back-end

development as you build efficient and dynamic solutions to meet the company’s and users’

needs.

What will you be accountable for?

● End-to-End Development:

● Design and develop highly scalable and interactive web applications from scratch.

● Take ownership of both front-end (ReactJS, NextJS, Tailwind CSS) and back-end

(NodeJS) development processes.

● Feature Implementation:

● Work closely with designers and product managers to translate ideas into highly

interactive and responsive interfaces.

● Maintenance and Debugging:

● Ensure applications are optimized for performance, scalability, and reliability.

● Perform regular maintenance, debugging, and testing of existing apps to ensure

they remain in top shape.

● Collaboration:

● Collaborate with cross-functional teams, including designers, product managers,

and stakeholders, to deliver seamless and robust applications.

● Innovation:

● Stay updated with the latest trends and technologies to suggest and implement

improvements in the development process.

Tech Stack

● Front-end: ReactJS, NextJS, Tailwind CSS

● Back-end: NodeJS, ExpressJS

● Database: MongoDB (preferred), MySQL

● Version Control: Git

● Tools: Webpack, Docker (optional but a plus)

Preferred Location

This role is based out of our Andheri Office, Mumbai.

Growth Opportunities for You

● Lead exciting web application projects end-to-end and own key product initiatives.

● Develop cutting-edge apps used by leading media clients around the globe.

● Gain experience working in a high-growth company in the media and tech industry.

● Potential to grow into a team lead role.

Who Should Apply?

● Individuals with a passion for coding and web technologies.

● Minimum 3-5 years of experience in full-stack development using NodeJS, ReactJS,

NextJS, and Tailwind CSS.

● Strong understanding of both front-end and back-end development and ability to

write efficient, reusable, and scalable code.

● Familiarity with databases like MongoDB and MySQL.

● Experience with CI/CD pipelines and cloud infrastructure (AWS, Google Cloud) is a

plus.

● Team players with excellent communication skills and the ability to work in a

fast-paced environment.

Who Should Not Apply?

● If you're not comfortable with both front-end and back-end development.

● If you don’t enjoy problem-solving or tackling complex development challenges.

● If working in a dynamic, evolving environment doesn’t appeal to you.

Job Description: AI/ML Specialist

We are looking for a highly skilled and experienced AI/ML Specialist 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.

● 3+ years of professional experience as a AI/ML Specialist

● 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.

• Strong AI/ML OR Software Developer Profile
• Mandatory (Experience 1) - Must have 3+ YOE in Core Software Developement (SDLC)
• Mandatory (Experience 2) - Must have 2+ years of experience in AI/ML, preferably in conversational AI domain (spped to text, text to speech, speech emotional recognition) or agentic AI systems.
• Mandatory (Experience 3) - Must have hands-on experience in fine-tuning LLMs/SLM, model optimization (quantization, distillation) and RAG
• Mandatory (Experience 4) - Hands-on Programming experience in Python, TensorFlow, PyTorch and model APIs (Hugging Face, LangChain, OpenAI, etc

Role: Graphic Designer

Experience: 0-3 years

Location: Ambattur, Chennai

Responsibilities:

● Collaborate with the marketing and creative teams to understand design requirements, objectives, and target audience.

● Develop design concepts, graphics, and layouts based on the project briefs and brand guidelines.

● Create visually appealing designs for various marketing materials, including digital and print assets such as brochures, flyers, banners, social media graphics, and website elements.

● Produce high-quality illustrations, icons, and infographics that effectively communicate complex ideas and information.

● Select colors, typography, and imagery that align with the brand identity and project goals.

● Ensure all designs are visually cohesive and consistent across different platforms and channels.

● Utilize industry-standard design software and tools to create and edit graphics, such as Adobe Creative Suite (Photoshop, Illustrator, InDesign).

● Collaborate with the creative team to brainstorm and contribute innovative design ideas and concepts.

● Manage multiple design projects simultaneously while adhering to project timelines and deadlines.

● Stay updated with design trends, techniques, and best practices, and incorporate them into design projects.

● Maintain and organize design files, assets, and documentation for easy accessibility and future reference.

● Work closely with external vendors, printers, and other partners to ensure accurate and high-quality production of design materials.

● Incorporate feedback and iterate designs based on stakeholder input and requirements.

● Contribute to the continuous improvement of design processes and workflows.

Requirements:

● Bachelor's degree in graphic design, visual communication, or a related field.

● Minimum 0-3 years work experience as a Graphic Designer or in a similar role.

● Proficiency in using industry-standard design software, such as Adobe Creative Suite (Photoshop, Illustrator, InDesign).

● Strong portfolio showcasing a diverse range of design projects and styles.

● Excellent understanding of design principles, typography, color theory, and layout composition.

● Creative thinking and the ability to generate innovative design concepts and solutions.

● Strong attention to detail and a keen eye for aesthetics.

● Good communication and collaboration skills to work effectively with cross-functional teams.

● Ability to manage multiple projects simultaneously and meet deadlines.

● Knowledge of digital design principles and formats for online platforms.

● Familiarity with print production processes and specifications.

● Familiarity with UX/UI design principles and an understanding of user-centered design is a plus.

● Knowledge of motion graphics and video editing software is a plus.

Note: Send your Resume attached with Portfolio

Let’s get started on building your path to success!

We are seeking a visionary and hands-on AI/ML and Chatbot Lead to spearhead the design, development, and deployment of enterprise-wide Conversational and Generative AI solutions. This role will be instrumental in establishing and scaling our AI Lab function, defining chatbot and multimodal AI strategies, and delivering intelligent automation solutions that enhance user engagement and operational efficiency.

Key Responsibilities

• Strategy & Leadership
• Define and lead the enterprise-wide strategy for Conversational AI, Multimodal AI, and Large Language Models (LLMs).
• Establish and scale an AI/Chatbot Lab, with a clear roadmap for innovation across in-app, generative, and conversational AI use cases.
• Lead, mentor, and scale a high-performing team of AI/ML engineers and chatbot developers.
• Architecture & Development
• Architect scalable AI/ML systems encompassing presentation, orchestration, AI, and data layers.
• Build multi-turn, memory-aware conversations using frameworks like LangChain or Semantic Kernel.
• Integrate chatbots with enterprise platforms such as Salesforce, NetSuite, Slack, and custom applications via APIs/webhooks.
• Solution Delivery
• Collaborate with business stakeholders to assess needs, conduct ROI analyses, and deliver high-impact AI solutions.
• Identify and implement agentic AI capabilities and SaaS optimization opportunities.
• Deliver POCs, pilots, and MVPs, owning the full design, development, and deployment lifecycle.
• Monitoring & Governance
• Implement and monitor chatbot KPIs using tools like Kibana, Grafana, and custom dashboards.
• Champion ethical AI practices, ensuring compliance with governance, data privacy, and security standards.

Must-Have Skills

• Experience & Leadership
• 10+ years of experience in AI/ML with demonstrable success in chatbot, conversational AI, and generative AI implementations.
• Proven experience in building and operationalizing AI/Chatbot architecture frameworks across enterprises.
• Technical Expertise
• Programming: Python
• AI/ML Frameworks & Libraries: LangChain, ElasticSearch, spaCy, NLTK, Hugging Face
• LLMs & NLP: GPT, BERT, RAG, prompt engineering, PEFT
• Chatbot Platforms: Azure OpenAI, Microsoft Bot Framework, CLU, CQA
• AI Deployment & Monitoring at Scale
• Conversational AI Integration: APIs, webhooks
• Infrastructure & Platforms
• Cloud: AWS, Azure, GCP
• Containerization: Docker, Kubernetes
• Vector Databases: Pinecone, Weaviate, Qdrant
• Technologies: Semantic search, knowledge graphs, intelligent document processing
• Soft Skills
• Strong leadership and team management
• Excellent communication and documentation
• Deep understanding of AI governance, compliance, and ethical AI practices

Good-to-Have Skills

• Familiarity with tools like Glean, Perplexity.ai, Rasa, XGBoost
• Experience integrating with Salesforce, NetSuite, and understanding of Customer Success domain
• Knowledge of RPA tools like UiPath and its AI Center

Role: Data Scientist

Location: Bangalore (Remote)

Experience: 4 - 15 years

Skills Required - Radiology, visual images, text, classical model, LLM multi model, Primarily Generative AI, Prompt Engineering, Large Language Models, Speech & Text Domain AI, Python coding, AI Skills, Real world evidence, Healthcare domain

JOB DESCRIPTION

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

Responsibilities

• LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.

• Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

• Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.

• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

• Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

• Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

• 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

• 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

• Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

• Excellent problem-solving and analytical abilities

• Strong communication skills, both written and verbal

• Ability to thrive in a collaborative and fast-paced environment

We’re looking for an experienced AI Developer to join our team and drive the design, development, and deployment of advanced computer-vision and LLM-based solutions. You’ll build real-time object detection & tracking pipelines (LLM, YOLOv8/11), develop face-recognition models on video feeds with LLM support, and manage GPU-powered server infrastructure end-to-end.

Key Responsibilities

• Model Development & Optimization
• Design, train, and fine-tune LLMs, YOLOv8/11 models for multi-class object detection.
• Implement face-recognition pipelines leveraging state-of-the-art LLMs and embedding techniques.
• Optimize inference speed and accuracy for real-time video processing on GPUs.
• Video Analytics & Tracking
• Develop multi-camera object-tracking algorithms across disparate video sources.
• Integrate OpenCV, DeepSORT (or similar), and custom tracking logic for robust performance.
• Infrastructure & Deployment
• Provision and maintain Linux servers with SSH, Docker, and GPU drivers (NVIDIA CUDA/cuDNN).
• Automate CI/CD pipelines for model training, evaluation, and deployment.
• Monitor GPU utilization, troubleshoot performance bottlenecks, and ensure high availability.
• Collaboration & Documentation
• Work closely with product managers, data engineers, and front-end teams to integrate AI services via REST/gRPC APIs.
• Write clear technical documentation, API specs, and best-practice guides.

Required Qualifications

• Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field.
• 2-3+ years hands-on experience with:
• YOLOv8 or YOLOv11 (training, inference, transfer learning)
• Face recognition frameworks (InsightFace, FaceNet, ArcFace) and LLM embeddings (e.g., Hugging Face Transformers)
• Python ecosystem: PyTorch/TensorFlow, OpenCV, NumPy, scikit-learn
• Strong Linux skills: server provisioning, SSH, shell scripting.
• Proficiency in managing GPU servers (NVIDIA CUDA, Docker GPU containers)
• Experience deploying models in production (AWS/GCP/Azure or on-prem clusters).

Preferred Qualifications

• Familiarity with video-streaming protocols (RTSP/WebRTC).
• Knowledge of microservices architecture and API gateways.
• Exposure to MLOps platforms (MLflow, Kubeflow).
• Strong debugging, profiling, and performance-tuning abilities.

Key Responsibilities

• Develop and maintain backend services and APIs using Java (Spring Boot preferred).
• Integrate Large Language Models (LLMs) and Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into applications.
• Collaborate with data scientists to build data pipelines and enable intelligent application features.
• Design scalable systems to support AI model inference and deployment.
• Work with cloud platforms (AWS, GCP, or Azure) for deploying AI-driven services.
• Write clean, maintainable, and well-tested code.
• Participate in code reviews and technical discussions.

Required Skills

• 3–5 years of experience in Java development (preferably with Spring Boot).
• Experience working with RESTful APIs, microservices, and cloud-based deployments.
• Exposure to LLMs, NLP, or GenAI tools (OpenAI, Cohere, Hugging Face, LangChain, etc.).
• Familiarity with Python for data science/ML integration is a plus.
• Good understanding of software engineering best practices (CI/CD, testing, etc.).
• Ability to work collaboratively in cross-functional teams.

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

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

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

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

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

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

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

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

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

Key Responsibilities

• Experience working with python, LLM, Deep Learning, NLP, etc..
• Utilize GitHub for version control, including pushing and pulling code updates.
• Work with Hugging Face and OpenAI platforms for deploying models and exploring open-source AI models.
• Engage in prompt engineering and the fine-tuning process of AI models.

Requirements

• Proficiency in Python programming.
• Experience with GitHub and version control workflows.
• Familiarity with AI platforms such as Hugging Face and OpenAI.
• Understanding of prompt engineering and model fine-tuning.
• Excellent problem-solving abilities and a keen interest in AI technology.

Procedure is hiring for WorkHero.

Across the U.S., thousands of small HVAC businesses are drowning in admin. WorkHero pairs seasoned office managers with AI workflows to free up their time, unlock growth, and modernize the trades. We handle everything that touches the back office of a small HVAC operation: billing, rebates, permits, warranties, marketing, and more. Our customers save dozens of hours every week, allowing them to focus on growing their business.

We are building at the intersection of Human and AI automation, and that’s where you come in!

How you will help us achieve it

As an Applied AI Engineer, you will collaborate with the company founders, product team, and office managers to develop agentic workflows for many of their daily processes. You will ideate, design, implement, and maintain the software side of the product. You will design the UX, develop the front end interfaces, build backend routes and design database models. The bulk of this role is interacting with office managers to understand their workflows and then creating and managing AI agents & workflows to make them more efficient.

In your day to day, you will:

• Partner with our frontline staff to understand their work so you can automate it with AI and save them time
• Live on the cutting edge of Human & AI interactions, keeping up to date with the latest patterns and how they apply to WorkHero and our workflows
• Contribute to exceptional code quality and performance of the code base
• Mentor young engineer(s) to be great at their craft, as our team grows

Key Details

• You can work remotely from anywhere with an overlap of at least four hours with the product team (6 pm to 10 pm IST)
• This role involves participating in calls with US-based stakeholders
• The compensation comes with a salary and an equity component
• Location - Remote
• YOE - 5 to 10 years
• NP - Immediate to 30 days

You’ll thrive if you

• Care about your craft and the mission of the software you are developing
• Are enterprising and can figure out how to convert workflows/playbooks to AI agents
• Work with cutting-edge AI tools and APIs
• Don’t just complete tickets that are assigned to you; you think deeply about the product and how you can make it great, then put that into action
• Enjoy developing 0-1 software products iteratively
• Are proficient in the Typescript ecosystem, including monorepos.
• Are skilled in React and Express (Koa is a plus) or similar tech
• Are pragmatic and understand trade-offs in software engineering

Requirements

• 4+ years of experience in building software products
• Have created applications using AI and LLMs. Can understand when to prompt, use RAG, create agents or fine-tune an LLM
• Have solid experience with the MERN stack
• Ability to debug and optimize complex systems
• Excellent communication and collaboration skills

Bonus points if you have

• Experience in mentoring junior team members. Better if they had gone to replace you in your team, allowing you to take up a more meaningful role
• Familiarity with our tech stack (React, Koa, Mongo, AWS, React Native)
• A good understanding of UX best practices for SaaS based interfaces & AI
• Built apps using React Native
• A deep understanding of infrastructure and can optimize for cost
• Set up evaluation frameworks for agentic workflows
• Contributed to open-source projects

Your First Six Months

• You will be working on creating AI Agents/Workflows based on the playbooks for some of the crucial workflows of HVAC office managers
• You will work on building the frontend, APIs and apply AI knowledge to add features to the office manager and admin portal, as well as the mobile app
• You will be using Vercel AI SDK to create abstracted AI agents and workflows with the capability of falling back to different providers
• You will demo the agentic workflows to US-based stakeholders—small HVAC business owners, product team and office managers
• You will monitor and manage the AI Workflows, ensuring quality and accuracy, improving them over time

About engineering at WorkHero

We value:

• High ownership and fast iteration
• Deep understanding our tools and systems
• Continuous improvement, both technically and interpersonal

Our technology stack:

• Full Stack TypeScript (React, React Native, KoaJS Backend, CRXJS Browser Extension)
• NX Monorepo with shared typing & libraries
• Infrastructure:
• AWS (ECS, Hosted RMQ)
• MongoDB Atlas
• Firebase & GCP services
• AI Tooling (Anthropic, OpenAI, Gemini, Deepgram)

Our team

• The Company is funded by Workshop Ventures Partners, a US-based venture studio focused on building great companies in Climate Tech
• The team consists of founding members from Harvard Business School and the Workshop Ventures team — Kyler, Furman, Chad, Jason, and Ulhas

Interview Process:

• Screening: Review of your open source contributions and past projects.
• First Round of Technical Evaluation: Assessing your problem-solving and AI integration skills.
• Technical Evaluation + Cultural Fit: Understanding your alignment with our team.

We are seeking a passionate and experienced Data Analyst Trainer to design, develop, and deliver training content for aspiring or existing data professionals. The trainer will be responsible for teaching core data analytics skills, tools, and industry practices to ensure trainees are job-ready or upskilled.

We’re hiring a hands-on Full-Stack Developer to join as our first technical hire and help turn our operational edge into scalable software. You’ll work directly with the founding team to:

* Build internal and guest-facing tools in React

* Develop a Node.js backend to power core workflows

* Integrate with property management software APIs (e.g., Guesty, Hostaway, Airbnb)

* Implement and extend functionality using AI APIs like OpenAI (required)

Our Stack

* Frontend: React

* Backend: Node.js (Express or similar)

* Database: MongoDB or Postgres

* APIs: REST/GraphQL, PMS integrations

* AI: OpenAI API and related services

Must-Have Skills

* 2+ years of full-stack development experience

* Strong proficiency in React and Node.js

* Demonstrated experience integrating external APIs (especially SaaS or PMS platforms)

* Familiarity working with OpenAI or other AI APIs

* Ability to work independently and ship quickly

Nice to Have

* Background in hospitality, rentals, or operational software

* Experience building dashboards or guest lifecycle tools

* Bonus: Prior experience with Guesty, Hostaway, or PMS APIs

To prepare placement students with the technical knowledge, skills, and confidence required to succeed in campus recruitment drives, technical interviews, and entry-level job roles in the industry.

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