701 Artificial Intelligence (AI) Jobs in India

Junior PHP/Laravel developer - Education ERP

Experience: 1.5-3 Years

Location: Remote

We are looking for a Junior PHP/Laravel Developer with hands-on experience in Core PHP, Laravel, and MySQL. The candidate will work on Education ERP/EdTech applications, developing new features, fixing bugs, handling databases, and supporting existing applications.

Key Responsibilities:

Develop and maintain web applications using Core PHP and Laravel.

Write and optimize MySQL/SQL queries and perform database operations.

Junior PHP/Laravel Developer - Education ERP

Experience: 1.5 -3 Years

Employment Type: Full Time

Location : Remote

We are looking for a Junior PHP/Laravel Developer with hands -on experience in Core PHP ,Laravel ,and MySQL The candidate will work

on Education ERP/EdTech applications, developing new features, fixing

bugs ,handling databases,,and supporting existing applications.

Key Responsibilities

• Develop and maintain web applications using Core PHP and Laravel.
• Write and optimize My SQL/SQLqueries and perform database operations.

Looking for an Architect with strong experience in AI and Data Engineering, preferably with hands-on experience in Generative AI (GenAI). Candidates with experience in any cloud platform (AWS, Azure, or GCP) will be considered, 

Chief Engineer - Artificial Intelligence

AI Architecture | Production Engineering | LLM, RAG & Agentic AI

Primary objective: Build secure, scalable and reusable AI capabilities that move from experimentation to reliable production use across DocTutorials products and business functions.

Department

Technology & Product Engineering

Location

Hyderabad / Chennai

Reports to

Vice President - Technology

Experience

10+ years in software engineering, including 5+ years in AI/ML

Role Summary

The Chief Engineer - AI will define and lead AI engineering architecture, standards and production implementation. This is a senior, hands-on technical leadership role responsible for building reliable AI platforms and guiding AI engineers, data teams and application teams.

Key Responsibilities

1. AI Strategy and Architecture

·       Define the AI engineering strategy, architecture and technical roadmap.

·       Evaluate and select suitable models, frameworks, vector databases and AI platforms.

·       Make practical build-versus-buy and open-source-versus-commercial decisions.

·       Ensure AI solutions are modular, reusable, scalable, secure and cost-effective.

2. Production AI Engineering

·       Lead AI initiatives from use-case assessment and proof of concept through production deployment.

·       Build reusable AI services, APIs, pipelines and platform components for web, mobile and internal applications.

·       Establish development, testing, deployment, monitoring and production-support practices.

·       Resolve complex issues involving model quality, retrieval, performance, reliability and cost.

3. LLM, RAG and Agentic AI

·       Design LLM applications, enterprise RAG solutions and controlled AI-agent workflows.

·       Build document processing, chunking, embedding, indexing, retrieval and response pipelines.

·       Implement source traceability, human approval and clear permissions for sensitive use cases.

·       Improve response quality through prompt design, retrieval optimisation and evaluation.

4. AI Quality, Security and Responsible AI

·       Define evaluation standards for accuracy, relevance, groundedness, safety, latency and cost.

·       Introduce benchmark datasets and regression testing for prompts, models and retrieval pipelines.

·       Implement safeguards for hallucinations, unsupported responses, data leakage and unsafe actions.

·       Ensure role-based access, encryption, audit logging, secure secrets handling and approved data usage.

5. AI Platform and Integration

·       Create common AI capabilities and integration standards that can be reused across products and teams.

·       Integrate AI services with applications, databases and approved enterprise data sources.

·       Implement observability for model usage, quality, errors, response time and cost.

·       Reduce dependency on a single model provider, individual engineer or external vendor.

6. Technical Leadership and Team Development

·       Define AI engineering standards for architecture, coding, review, testing and documentation.

·       Remain hands-on through design reviews, critical code reviews, debugging and focused prototypes.

·       Mentor AI/ML engineers, data engineers and application teams; support hiring and capability building.

·       Work with Product and business teams to convert high-value problems into measurable AI solutions.

Required Skills and Experience

·       10+ years of software engineering experience, including 5+ years in practical AI/ML engineering.

·       Proven experience moving AI solutions from prototype to reliable production use.

·       Strong Python and production API development experience, preferably FastAPI.

·       Strong knowledge of LLMs, RAG, prompt engineering, embeddings and agentic AI.

·       Experience with vector databases such as pgvector, Qdrant, Milvus or Weaviate.

·       Experience with LangChain, LlamaIndex, Haystack or similar orchestration frameworks.

·       Knowledge of cloud architecture (preferably AWS), microservices, databases, queues and distributed systems.

·       Experience with Docker, Kubernetes, CI/CD, observability and production support.

·       Strong understanding of application security, data privacy and responsible-AI engineering.

·       Demonstrated technical leadership, mentoring and stakeholder-management capability.

Good-to-Have Experience

·       Healthcare, medical education, EdTech or digital-learning platforms.

·       Medical-content intelligence, knowledge graphs, ontologies, taxonomy or semantic search.

·       Clinical Case Library, personalised learning or recommendation systems.

·       Multi-modal AI involving text, audio, images or video.

·       Healthcare-data privacy, de-identification or standards such as SNOMED CT, ICD, HL7 or FHIR.

How Success Will Be Measured

·       Production adoption and measurable business or learner impact of AI capabilities.

·       Accuracy, groundedness, reliability, security and cost efficiency of AI solutions.

·       Reusable AI services delivered across products with reduced technical and vendor dependency.

·       Improved capability, engineering quality and ownership within the AI team.

We are looking for a hands-on AI engineering leader who can distinguish a valuable production capability from an attractive demo and build AI that is secure, scalable, measurable and maintainable.

Senior Trainer — AI/ML

Reports To: Associate Director / Head of L&D

Department: L&D-Corporate

Location: Gurgaon, Haryana & Bangalore

Job Summary

We are looking for a skilled and detail-oriented Trainer to design and deliver high-impact learning programs in AI/ML (including Generative AI), Digital Transformation, Technology, and Advanced Analytics.

The role emphasizes structured learning paths, engaging facilitation, and measurable outcomes aligned with company's domain-specific AI and analytics offerings. Key Responsibilities We seek an experienced AI Enablement professional to design and deliver high-impact learning programs in Generative AI, Agentic AI, AI Productivity, Data & Analytics, and Digital Transformation.

The role focuses on driving enterprise AI adoption through structured learning journeys, hands-on workshops, AI certifications, and business-aligned capability-building initiatives. The trainer will work closely with business leaders and SMEs to enable employees to leverage AI, automation, and intelligent agents.

Core Competencies

• Design and deliver instructor-led, virtual, and blended learning programs on Generative AI, Agentic AI, Large Language Models (LLMs), AI Engineering, Data Science, and enterprise AI platforms such as Microsoft Copilot, Copilot Studio, and Azure AI Foundry.

• Develop role-based curricula, learning journeys, certification pathways, and capability frameworks aligned to emerging AI technologies and business needs.

• Deliver hands-on workshops on AI applications, prompt engineering, AI agents, enterprise copilots, and workflow automation.

• Create practical learning experiences using tools such as Microsoft 365 Copilot, Copilot Studio, ChatGPT, Claude, Azure AI Services, and other enterprise AI platforms.

• Track learning effectiveness, adoption, business impact, and ROI using learner feedback, usage analytics, and performance metrics.

• Develop reusable prompts, agent templates, AI accelerators, and knowledge assets to support scalable learning initiatives.

• Leverage digital learning technologies, AI-powered learning platforms, and modern instructional methodologies to enhance learner engagement.

• Stay abreast of advancements in GenAI, Agentic AI, AI governance, Responsible AI, automation, and emerging technologies and continuously integrate them into learning programs.

Required Qualifications

• Master’s degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Analytics, or a related discipline

• 6–10 years of corporate training/L&D experience with strong focus on technology and analytics would be an added advantage.

• Hands-on expertise in Python and practical AI solution development, with experience in Generative AI tools, prompt engineering, and AI-powered productivity platforms.

• Working knowledge of LLM ecosystems, Retrieval-Augmented Generation (RAG), AI agents, automation frameworks, and enterprise AI applications.

• Experience with Microsoft Copilot, Copilot Studio, Power Platform, Azure AI Services, OpenAI technologies, or equivalent AI ecosystems.

• Strong understanding of cloud platforms such as Azure, AWS, or Google Cloud, with familiarity in AI and machine learning services.

Preferred Qualifications

• AI/ML & Generative AI concepts; model lifecycle and governance awareness.

• Instructional design, curriculum development, and assessment design.

• Strong facilitation, storytelling, and stakeholder management.

• Data-driven evaluation; dashboards and reporting for learning impact.

• Familiarity with company's platforms and decision-centric analytics approach.  

Thanks & Regards,

Arti Chopra

Bean HR Consulting-"Ahead Your Search"

https://beanhr.com

Locations:- Ghaziabad (Delhi-NCR) / Dehradun

Key Responsibilities

We seek an experienced AI Enablement professional to design and deliver high-impact learning programs in Generative AI, Agentic AI, AI Productivity, Data & Analytics, and Digital Transformation. The role focuses on driving enterprise AI adoption through structured learning journeys, hands-on workshops, AI certifications, and business-aligned capability-building initiatives. The trainer will work closely with business leaders and SMEs to enable employees to leverage AI, automation, and intelligent agents.

Core Competencies

• Design and deliver instructor-led, virtual, and blended learning programs on Generative AI, Agentic AI, Large Language Models (LLMs), AI Engineering, Data Science, and enterprise AI platforms such as Microsoft Copilot, Copilot Studio, and Azure AI Foundry.
• Develop role-based curricula, learning journeys, certification pathways, and capability frameworks aligned to emerging AI technologies and business needs.
• Deliver hands-on workshops on AI applications, prompt engineering, AI agents, enterprise copilots, and workflow automation.
• Create practical learning experiences using tools such as Microsoft 365 Copilot, Copilot Studio, ChatGPT, Claude, Azure AI Services, and other enterprise AI platforms.
• Track learning effectiveness, adoption, business impact, and ROI using learner feedback, usage analytics, and performance metrics.
• Develop reusable prompts, agent templates, AI accelerators, and knowledge assets to support scalable learning initiatives. Sensitivity: Public evalueserve.com
• Leverage digital learning technologies, AI-powered learning platforms, and modern instructional methodologies to enhance learner engagement.
• Stay abreast of advancements in GenAI, Agentic AI, AI governance, Responsible AI, automation, and emerging technologies and continuously integrate them into learning programs.

Required Qualifications

• Master’s degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Analytics, or a related discipline
• 6–10 years of corporate training/L&D experience with strong focus on technology and analytics would be an added advantage.
• Hands-on expertise in Python and practical AI solution development, with experience in Generative AI tools, prompt engineering, and AI-powered productivity platforms.
• Working knowledge of LLM ecosystems, Retrieval-Augmented Generation (RAG), AI agents, automation frameworks, and enterprise AI applications.
• Experience with Microsoft Copilot, Copilot Studio, Power Platform, Azure AI Services, OpenAI technologies, or equivalent AI ecosystems.
• Strong understanding of cloud platforms such as Azure, AWS, or Google Cloud, with familiarity in AI and machine learning services. Preferred Qualifications
• AI/ML & Generative AI concepts; model lifecycle and governance awareness.
• Instructional design, curriculum development, and assessment design.
• Strong facilitation, storytelling, and stakeholder management.
• Data-driven evaluation; dashboards and reporting for learning impact.

Role Overview: Take full ownership of infrastructure architecture, scaling, and uptime. Establish the technical roadmap, shape and formalize the SRE function, and coach engineers. Design, deploy, and run AI-scale infrastructure that enables real-time healthcare workflows.

Serve as a Founding Member, owning end-to-end infrastructure capabilities and introducing AI-first DevOps, SRE, and MLOps best practices, with direct collaboration alongside the Founder, Co-Founder, and Head of Engineering.

Key Responsibilities:

Architecture & Platform

• Design scalable, secure, cost-efficient AWS/GCP architectures for AI and healthcare workloads
• Lead IaC standards and reusable modules org-wide; own GitOps practices
• Architect optimized Kubernetes (EKS/GKE) for HA, scale, and GPU workload orchestration

Reliability Engineering

• Define and drive reliability targets (SLOs/SLIs); establish SRE practice
• Lead incident management, RCA, and blameless post-mortems for critical systems
• Partner on infrastructure hardening and compliance (SOC 2, HIPAA)

AI-First Engineering

• Lead AI/ML inference and GPU infrastructure scaling in production
• Evaluate and introduce AI tooling, platforms, and automation best practices
• Contribute to LLM deployment pipelines and AI systems reliability

Leadership & SDLC

• Mentor L1/L2 engineers; influence cross-team infrastructure decisions
• Drive DevSecOps maturity across the SDLC (policy-as-code, SBOM, supply-chain security)
• Evaluate and introduce new tooling and platforms

Key Requirements:

• 4–8 years infrastructure/platform/DevOps/SRE
• Deep expertise in AWS & GCP large-scale production systems
• Advanced Kubernetes (cluster design, multi-tenant ops, resource quotas)
• AI/ML inference or GPU infrastructure scaling (production track record)
• Strong Terraform / equiv. and GitOps practices
• Python, Go, or Bash scripting and automation
• Track record in scale, reliability, and cost efficiency
• Lead incident response and on-call practices

Nice-to-Have

• LLM Gateway architecture and optimization
• Zero-trust networking and advanced security/compliance (SOC 2, HIPAA)
• DevSecOps maturity: SBOM, supply-chain security, policy-as-code
• Open-source contributions or platform-team leadership

Why This Role?

• Build infrastructure and products powering real-world healthcare AI
• Work with AI-native engineering teams using cutting-edge tools (Claude Code, Cursor, Copilot)
• Mission-driven impact — improve patient outcomes and save thousands of staff hours
• High ownership, rapid learning, and significant career upside
• Global collaboration across India and the US
• Seed-stage growth — scale from Seed to Series A alongside the team
• Founding Member role and own the entire infrastructure capabilities, including bringing best AI-first practices in DevOps, SRE and MLOps; direct access to work with the Founder, Co-Founder and Head of Engineering

Why this role exists 

Most systems work at a low scale. 

Very few survive real production load, complex workflows, and enterprise edge cases. 

We are building a platform that must: 

1. Scale from 500K → 20M+ interactions/month 
2. Handle complex insurance workflows reliably 
3. Become easier to deploy as it grows, not harder 
4.  
5. This role exists to build the backend foundation that makes this possible. 

What you’ll do 

You will not just write services. 

You will design and own core platform systems. 

1. Scale the platform without breaking architecture 

1. Scale from 50K → 4M+ interactions/month 
2. Ensure: 
3. High availability 
4. Low latency 
5. Fault tolerance 
6. Avoid large rewrites — build systems that evolve cleanly 

2. Build the workflow automation (WA) engine 

1. Design a flexible system with: 
2. States 
3. Stages 
4. Cohorts 
5. Dynamic workflows 
6. Ensure workflows: 
7. Handle edge cases reliably 
8. Can be configured easily 
9. Move from: 
10. Hardcoded flows → configurable execution engine 

3. Build the insurance-specific data layer 

1. Design data models for: 
2. Policy states 
3. Claim workflows 
4. Consent tracking 
5. Ensure the system works across: 
6. Multiple insurers 
7. Multiple use cases 
8. Build a platform-first data layer, not use-case-specific hacks 

4. Make deployment and setup simple 

1. Ensure workflows and data models are: 
2. Easy to configure 
3. Easy to launch 
4. Reduce friction for: 
5. Product teams 
6. Deployment teams 

5. Create a compounding data advantage 

1. Build a data layer that: 
2. Improves with every deployment 
3. Captures structured signals 
4. Ensure data becomes a long-term edge, not just storage 

6. Own production reliability 

1. Participate in on-call rotation across 3 engineers 
2. Ensure: 
3. Incidents are handled quickly 
4. Root causes are fixed permanently 
5. Build systems where reliability is shared, not individual 

What success looks like 

1. Platform scales to 2M+ interactions/month smoothly 
2. Workflow engine supports complex, dynamic use cases 
3. Data layer enables fast deployment across accounts 
4. Edge cases are handled without constant firefighting 
5. System becomes easier to use as it grows 
6. Production issues are rare and predictable 

Who you are 

1. You have built: 
2. Scalable systems 
3. Distributed services 
4. You think in: 
5. Systems 
6. Data models 
7. Trade-offs 
8. You are comfortable owning: 
9. Architecture 
10. Production systems 

What will make you stand out 

1. Experience building: 
2. Workflow engines 
3. State machines 
4. Data-heavy platforms 
5. Strong understanding of: 
6. System design 
7. Distributed systems 
8. Failure handling 
9. Experience working in: 
10. High-scale production environments 

Why join 

1. You will build the core backend of an AI platform 
2. Your work directly impacts: 
3. Scale 
4. Reliability 
5. Product capability 
6. You will design systems that move from: 
7. Use-case specific → platform-level infrastructure 

What this role is not 

1. Not just API development 
2. Not limited to feature-level work 
3. Not disconnected from production realities 

What this role is 

1. A system architect 
2. A builder of scalable platforms 
3. A driver of long-term technical advantage 

One question to self-evaluate 

Can you design backend systems that scale, handle edge cases, and become easier to use as they grow? 

Job Title: Java SDET / Automation Test

Experience: 5+ Years

Location: Hyderabad

Work Mode: 4 Days WFO

Interview Process:

• L1: Case Study – GitHub Repository
• L2: Face-to-Face – Hyderabad

Job Summary

We are looking for an experienced Java SDET / Automation Test Lead with strong expertise in Java, Selenium, automation testing, and AI-powered testing tools. The candidate will be responsible for leading automation testing activities, developing robust test frameworks, ensuring product quality, and improving testing efficiency using AI tools.

Mandatory Skills

• Java
• Selenium WebDriver
• Automation Testing / SDET
• Test Automation Frameworks
• Test Planning & Test Case Development
• AI Tools for Development & Test Automation
• End-to-End Testing
• Test Data Creation
• Defect Tracking

Preferred Skills

• AI Testing Frameworks
• API Testing – Postman / SoapUI
• Performance Testing
• CI/CD
• Agile/Scrum
• Database Testing & SQL

Roles & Responsibilities

• Lead software testing activities and ensure high-quality deliverables.
• Design, develop, and execute automated test scripts using Java and Selenium.
• Develop and maintain test plans, test cases, and test data.
• Identify, document, and track defects.
• Mentor and guide junior testers.
• Collaborate with development teams to improve testability and automation strategies.
• Use AI tools to improve testing and automation efficiency.
• Participate in code reviews and contribute to testing best practices.
• Perform end-to-end testing and ensure application quality.
• Report testing progress and results to stakeholders.

📩 Interested candidates can share their updated resumes:

Email: pavithra.e @vysystems. com

Contact: 8 9 2 5 8 0 2 4 5 7

We're building the AI operating system for the $600B global managed IT market.

Managed service providers (MSPs) run IT for lots of small and mid-sized businesses. Their technicians spend most of the day on repetitive tickets — setting up new joiners, sharing folders, fixing sign-in issues. Our first product is an AI service desk. It learns how each MSP works, turns a ticket into a plan of exact steps, and runs only what a technician approves.

Our vision is to build additional products for other parts of the MSP's business (such as voice AI, business operations and analytics), turning this into the one AI operating layer for the MSP business.

We've just raised a $4.4M pre-seed from Seedcamp, Futurepresent and Entree Capital. Our founders previously built upGrad ($2B) and Kapiva ($250M), and come from Bain Capital, Parthenon, and Morgan Stanley. Our co-founders both studied CS at IIT Delhi.

We're building a small team with very high talent density in Mumbai — people from IIT Bombay, Yale, Rippling and more.

The role:

We're hiring our first Product Designer — someone who will shape how the product looks, feels, and works from the ground up.

The hardest design problem we have is trust. A technician needs to feel comfortable letting AI make changes in a customer's Microsoft 365 or Google Workspace. So every screen needs to make it very clear what the AI knows, what it plans to do, and what it changed — and still be fast enough that a busy service desk actually uses it.

You'll work directly with the co-founder who leads product and our engineers, and own design end to end — from customer calls to shipped product.

What you'll do:

• Own the product experience end to end. Take problems from a first customer conversation to rough sketches, prototypes, and polished UI that ships — then keep improving it once it's live.
• Design how people and AI work together. Decide how the product explains what it knows, asks for approval, shows its progress, and owns up when something goes wrong. Make it easy for a technician to say yes with confidence.
• Make complex work feel simple. IT work is detailed and technical. You'll turn it into clear, fast experiences that busy teams can use without training.
• Stay close to customers. Join customer calls, watch technicians at work, test ideas with them every week, and bring what you learn straight into the product.
• Prototype fast, ideally in code. Use AI and design tools (Claude, Figma and others) to build working prototypes, so we learn from real use rather than static mockups.
• Design everywhere the product shows up — the app, integrations with tools technicians already use, operational dashboards and more.
• Build a lean design system. Give our engineers the building blocks to ship consistent UI without waiting on you.
• Set the bar for design. As our first designer, you'll shape how design is done here — the standard of quality, how we work, and who we hire next.

A few problems you might pick up in your first months: a single approval to set up 50 new joiners, with a clear "48 done, 2 need attention — and why"; a way for teams to see what the AI has learnt about each client, where it came from, and how to undo it; and a simple view that tells an owner the AI is working.

What we're looking for:

• Great product design work you've actually shipped. Consumer or B2B doesn't matter — we care much more about how you think than where you've worked.
• Strong craft and taste. Simple, clean and fast over flashy — think Linear, not a design studio website.
• Comfort going deep on a complex subject. You'll need to learn how things like Microsoft 365 groups and licences work, and enjoy doing it.
• Speed. You prototype in code or with AI tools and get ideas in front of users quickly.
• You use AI every day. You have opinions on what makes AI products feel trustworthy — and what makes them feel risky.
• High ownership and clear writing. You can take a messy problem all the way to something shipped, and explain your thinking simply along the way.

Nice to have:

• You've designed AI or agent products before.
• Early-stage startup or founder experience.
• You can write front-end code (React / Tailwind).

Probably not the right fit if

• Most of your work is brand, marketing, or research.
• You need a detailed spec and a design manager to do your best work.

Why join us?

• Real ownership. We're very early, so you'll shape how design works here — not inherit someone else's system.
• A hard, new problem. AI that takes real actions on real systems is still being figured out. You'll help define what good looks like.
• Fast impact. You'll work directly with the founders and see your work in customers' hands within weeks.

Full-Stack AI Engineer

Focus: Agentic AI, AI Shopping Assistants & Virtual Try-On

Role Summary :

We are looking for a Full-Stack AI Engineer to build, deploy, and operate production-grade AI applications, including agentic shopping assistants and multimodal AI experiences. The role requires strong hands-on expertise in Python, TypeScript, LLM-based applications, real-time streaming, evaluation, and cloud infrastructure.

The ideal candidate can independently deliver end-to-end features across backend agent runtimes and frontend interfaces, with a strong focus on reliability, latency, cost optimisation, and production performance.

Key Responsibilities :

• AI Agent Development: Build and maintain Python-based agent runtimes using LLMs, tool calling, structured outputs, retrieval-augmented generation (RAG), multi-turn state, and human escalation workflows.
• Full-Stack Engineering: Develop asynchronous Python APIs and TypeScript web components, implementing server-sent events (SSE), streaming interfaces, interactive product cards, and resilient client-side error handling.
• LLM Evaluation: Build evaluation datasets and automated test harnesses using deterministic and model-based graders, regression gates, ablation studies, and pass@k/pass^k metrics.
• Performance & Cost Optimisation: Improve response latency, time to first token, token consumption, caching efficiency, context management, and cost per conversation.
• Production Operations: Implement distributed tracing, structured logging, LLM observability, monitoring, incident resolution, feature flags, controlled rollouts, and rollback mechanisms.
• Cloud & DevOps: Deploy containerised services, manage CI/CD pipelines, infrastructure as code, and production workloads on cloud platforms.
• E-commerce AI Integration: Integrate product search, catalogue data, product details, grounded recommendations, and commerce-related event tracking into AI-powered shopping experiences.
• Virtual Try-On & Multimodal AI: Contribute to image-based generative AI applications, including embeddable frontend widgets and scalable backend services.
• Internationalisation & Scalability: Support multilingual experiences, brand-specific configurations, localisation, currency handling, and backward-compatible integrations.
• Cross-Functional Collaboration: Work with product, business, and engineering stakeholders to troubleshoot quality issues and deliver measurable improvements to customer experience and business outcomes.

Essential Skills & Experience :

• Strong hands-on experience with Python and TypeScript.
• Production experience building LLM-powered applications using tool/function calling, structured outputs, streaming, retries, context management, and RAG.
• Strong understanding of asynchronous Python, REST APIs, SSE, and event-driven communication.
• Practical experience designing LLM evaluation frameworks, test datasets, automated graders, regression testing, and evaluation metrics.
• Experience deploying and operating cloud-based applications, containerised services, CI/CD pipelines, and infrastructure as code.
• Familiarity with production observability, distributed tracing, structured logging, performance monitoring, and incident management.
• Experience with caching, latency optimisation, token and inference cost management, feature flags, and safe deployment strategies.
• Strong software engineering fundamentals, debugging skills, and end-to-end ownership of production features.

Preferred Skills :

• Experience with agent frameworks such as Google ADK, LangGraph, or Claude Agent SDK.
• Hands-on exposure to Google Cloud Platform, Vertex AI, Gemini, FastAPI, and Cloud Run.
• Experience with frontend frameworks and tools such as Lit, Next.js, esbuild, and Vitest.
• Familiarity with PostgreSQL, BigQuery, OpenTelemetry, Opik, and LLM tracing platforms.
• Knowledge of MCP servers, sub-agents, agent-to-agent integrations, and retrieval systems.
• Experience with e-commerce search, multimodal AI, image generation, virtual try-on, and third-party web embeds.
• Understanding of prompt-injection mitigation, multilingual applications, and inference performance optimisation.
• Effective use of AI coding assistants and developer productivity tools.

Role Expectations :

• Deliver production-ready features across both backend AI services and frontend applications.
• Demonstrate evaluation evidence, observability, and safe rollout practices for AI-driven changes.
• Balance response quality, reliability, latency, infrastructure costs, and user experience.
• Work effectively within existing systems, maintaining backward compatibility and planning migrations and rollbacks.
• Take ownership of troubleshooting, continuous improvement, and production reliability.

Strong AI Engineer / Machine Learning Engineer profiles.

2

Mandatory (Experience 1) – Must have minimum 3+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

3

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

4

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

5

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

6

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

7

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

8

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

Mandatory ( Pedigree) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered.

Strong Data Scientist / AI Engineer / Generative AI Engineer profile.

2

Mandatory (Experience 1) - Must have 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development.

3

Mandatory (Experience 2) - Must have strong hands-on experience in Python programming, backend development, API development, and production-grade application support.

4

Mandatory (Experience 3) - Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn.

5

Mandatory (Experience 4) - Must have hands-on experience in NLP use cases such as text classification, sentiment analysis, entity recognition (NER), semantic search, embeddings, or document understanding.

6

Mandatory (Experience 5) - Must have experience working with Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Phi, Claude, Gemini, or similar models.

7

Mandatory (Experience 6) - Must have hands-on experience building or implementing Retrieval Augmented Generation (RAG) solutions, vector search, semantic search, or knowledge-based AI applications.

8

Mandatory (Experience 7) - Must have experience with Prompt Engineering and Generative AI frameworks such as LangChain, LangGraph, AI Agents, Azure OpenAI, or similar technologies.

9

Mandatory (Experience 8) - Must have experience developing, consuming, or integrating APIs using Python frameworks such as FastAPI, Flask, or similar technologies.

Mandatory (Education) - B.TECH / M.TECH from Tier 1 Colleges (IIT, NIT, BITS, IIIT, DTU, NSUT) are considered.

We are looking for a highly strategic and execution-oriented Senior Product Manager / Product Manager – CMS & Digital Experience Platform to drive the evolution of Milestone’s AI-first CMS and Digital Experience capabilities.

This role requires a product leader who can deeply understand enterprise customer problems, market trends, AI-led content evolution, SEO/GEO dynamics, Personalization, and modern web experience requirements while partnering closely with Engineering, Design, GTM, Customer Success, and Enterprise Customers.

You will own product strategy, roadmap prioritization, customer outcomes, adoption metrics, Customer communication, and feature execution for our next-generation CMS platform.

Problems We Are Looking to Solve

• Enterprise-scale AI-driven content management
• Discoverability across Search and Generative AI ecosystems
• AI-powered content optimization and governance
• SEO/GEO-native digital experiences
• Conversion-focused, hyper-personalized customer journeys

Key Responsibilities

Strategic Vision & Leadership

• Define and execute product vision and roadmap\
• Drive AI-first product innovation
• Conduct market and competitive analysis
• Translate customer pain points into scalable solutions
• Understand customer churn and derive strategies to reduce future churn

Operational Excellence & Growth

• Own product lifecycle from ideation to launch
• Create PRDs, user stories, and documentation
• Drive roadmap execution with Engineering teams
• Monitor adoption, engagement, and retention KPIs

Innovation & Culture

• Champion AI-native product thinking
• Foster innovation and accountability culture
• Evangelize product capabilities internally and externally
• Stay ahead of CMS, Digital asset management and AI trends

Cross-Functional Alignment

• Collaborate with Engineering, UX, Marketing, Sales, and CS teams
• Partner with Product Marketing for GTM initiatives
• Support enterprise sales cycles and customer workshops

Customer Impact

• Act as voice of the customer
• Improve customer adoption and success outcomes
• Ensure measurable business impact

Talent & Empowerment

• Mentor junior product team members
• Promote ownership and continuous learning
• Strengthen product management best practices

Ideal Candidate Profile

The ideal candidate is a customer-centric product leader with strong experience in B2B SaaS platforms, CMS technologies, AI-led digital experiences, and enterprise-scale product management.

Required Experience & Qualifications

• 8+ years of Product Management experience in B2B SaaS
• Experience with CMS, Digital Experience Platforms, or Martech
• Strong understanding of APIs and modern web architectures
• Experience collaborating with Engineering and Design teams
• Strong analytical and communication skills

Key Focus Areas

• AI-native CMS innovation
• SEO/GEO-first digital experiences
• Enterprise content scalability
• Product-led growth and adoption

Capabilities

1. Product Strategy & Roadmapping

2. Enterprise SaaS Product Management

3. AI-first Product Thinking

4. Agile Product Development

5. Customer Discovery & Validation

6. Data-Driven Decision Making

7. Stakeholder Management

8. GTM Collaboration

KPI and Metrics

1. Product Adoption

2. Customer Engagement & Retention

3. Time-to-Market

4. Customer Satisfaction

5. Platform Performance

6. Revenue Influence

7. Product Usage Growth

8. Customer Success Outcomes

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or related field
• MBA preferred
• Product or Agile certifications are a plus

What We Offer

• Competitive compensation and incentives
• Opportunity to build AI-first products
• Exposure to global enterprise customers
• Career growth and leadership opportunities
• Collaborative and innovative culture

How to Apply

Interested candidates are invited to submit their resume and a cover letter outlining their qualifications and vision for the role plus previous experience align with key attributes, responsibilities, clear wins or learnings.   

Why Milestone

• AI-first Digital Experience Platform
• SEO/GEO-native CMS leadership
• Founder-led innovation culture

Strong Lead AI Engineer Profile with agentic systems architecture expertise

2

Mandatory (Experience 1): Must have 6+ years of software or ML engineering, with at least recent 2+ years building and shipping production LLM or agentic AI systems

3

Mandatory (Tech skill 1): Must have hands-on proficiency with at least two agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI), with experience debugging framework internals

4

Mandatory (Tech skill 2): Must have direct SDK experience with Anthropic Claude API (tool use, streaming), OpenAI Assistants API, or Vertex AI Agent Builder

5

Mandatory (Tech skill 3): Must have Python mastery — production-quality code, type annotations, unit and integration tests, packaging, and performance profiling

6

Mandatory (Tech skill 4): Must have RAG pipeline depth — embedding model selection, vector stores (Pinecone, Weaviate, pgvector), hybrid retrieval, RAGAS or custom evaluation harnesses

7

Mandatory (Tech skill 5): Must have cloud deployment experience with AWS, Azure, or GCP; Docker, Kubernetes, IaC basics (Terraform or CDK), and CI/CD pipelines

8

Mandatory (Tech skill 6): Must have agent observability experience — LangSmith, Helicone, or equivalent — with ability to diagnose latency, cost, and quality issues in production traces

9

Mandatory (Tech skill 8) : Must have owned full sub-system designs — agent topology, data flows, API contracts, failure handling — for a bounded scope, and built multi-agent graphs, tool orchestration, retrieval, and memory systems.

10

Mandatory (Tech skill 7): Must have track record of shipping 2+ agentic or ML systems to production — not just proof-of-concepts — with documented performance benchmarks

11

Mandatory (Communication): Must be able to write crisp component specifications and communicate architectural trade-offs to both engineers and non-technical stakeholders

12

Mandatory (Note 1) : Role is Hybrid, WFH flexibility as well upto 6 days a month

We are looking for a Senior Full Stack Engineer to join our lean, high-impact engineering team. This is a key founding-team role where you will work closely with the CTO and help build the engineering foundation of the company.

The ideal candidate is a backend-strong full-stack engineer with solid Python and React experience, a strong understanding of AI/LLMs, and the ability to independently take ownership of projects from idea to production.

What You'll Do:

• Build and scale applications across the backend and frontend
• Develop backend services and APIs using Python
• Build and maintain frontend applications using React
• Design and implement AI/LLM-powered applications and features
• Work with AI services and integrate them into real-world applications
• Contribute to system design and architecture
• Work with cloud infrastructure and services
• Take ownership of features and initiatives from ideation to production
• Identify problems and proactively drive solutions without requiring constant direction
• Work closely with the CTO and founding team to shape engineering practices and future systems
• Communicate technical concepts clearly to technical and non-technical stakeholders

What We're Looking For:

• 3–6 years of software engineering experience
• Strong experience with Python
• Good hands-on experience with React
• Strong backend development experience with full-stack exposure
• Practical understanding of AI, LLMs and AI services
• Experience building at least one meaningful AI project beyond basic API/chatbot integrations
• Experience taking an AI/ML application or feature into production is preferred
• Exposure to cloud platforms
• Good understanding of system design and software architecture
• Strong problem-solving and ownership mindset
• Excellent communication skills and ability to explain complex technical concepts in simple language
• Genuine hands-on experience with the technologies mentioned on the resume

What Makes This Role Different:

This is not a typical execution-focused engineering role. We are building a lean "A-team" of experienced engineers who will eventually help shape the team and take on senior/leadership responsibilities.

We're looking for someone who:

• Takes initiative rather than waiting for tasks
• Can work independently in an early-stage environment
• Is comfortable exploring and building with AI
• Can go deep into the work they've done and explain the technical decisions behind it
• Wants significant ownership and influence over the product and engineering direction

Location & Compensation

• Work Mode: Remote initially
• Future Location: Expected relocation to Bangalore in approximately 1 year
• Working Hours: Regular IST hours
• Travel: Potential opportunities to travel to Germany

Interview Process:

3 Rounds

1. Technical & Project Deep Dive – Conversational discussion around past projects, AI experience and technical depth
2. System Design & Technical Round – Deeper technical and architecture discussion
3. Founder Round – Communication, culture fit, ownership and initiative

We’re Hiring | Technology Lead – Java & AWS

Locations: Kochi | Trivandrum | Bangalore

Experience: 15–18 Years

Key Skills: Java, AWS, AI/ML

What We’re Looking For

Strong hands-on expertise in Java and enterprise application development.

Solid experience with AWS and cloud-based architectures.

Practical experience implementing AI/ML solutions.

Expertise in solution architecture, system integration, and scalable application design.

Proven ability to lead technical initiatives while remaining actively involved in coding, design, and troubleshooting.

Experience delivering end-to-end enterprise solutions.

What you’ll actually do

You’ll own the execution side of paid campaigns for our client accounts. This isn’t a coordinator role. You’ll be inside ad accounts every single day.

Campaign Execution

• Build, launch, and manage Meta and Google Ads campaigns end-to-end (sales, lead gen, traffic, conversions)
• Set up campaign structures, ad sets, audiences, placements, and creative rotations
• Upload creatives, write ad copy variations, and set up A/B tests
• Manage budgets, pacing, and bid strategies across accounts

Optimization and Analysis

• Monitor account performance daily — CTR, CPM, CPC, CPA, ROAS, frequency
• Identify winning and losing ad sets, scale or kill based on data
• Diagnose drops in performance (creative fatigue, audience saturation, attribution issues) and propose fixes
• Pull weekly performance reports and flag what’s working and what isn’t

Creative and Landing Page Collaboration

• Brief the creative team (or external designers) on ad creative needs based on what’s working
• Work with the founder to test landing page variants and recommend CRO experiments
• Stay on top of creative trends in D2C, especially for premium and lifestyle brands

AI-First Workflow

You will use AI tools every single day. This isn’t optional and it isn’t a buzzword — it’s how we work

• Use Claude, ChatGPT, or similar LLMs for ad copy generation, audience research, competitor analysis, and brief writing
• Use AI image and video tools (Midjourney, Runway, Sora, Google Veo, ElevenLabs, etc.) for creative ideation and rapid creative variants
• Build prompt workflows for repetitive tasks — reporting, audience research, copy variations
• Stay current on new AI tools as they launch and bring ideas to the team
• If your instinct is to do something manually that AI could do in 1/10th the time, you’re working wrong here

Client Communication

This is roughly 30–40% of the role. You’ll be client-facing from week one

• Run weekly performance review calls with clients — present numbers, explain what’s happening, recommend next steps
• Respond to client messages on WhatsApp/email within working hours, professionally and with data
• Write structured weekly performance reports clients can read in 5 minutes
• Manage client expectations on timelines, results, and creative deliverables
• Flag risks early — a campaign trending down, a creative pipeline running thin, a tracking issue — before clients have to ask

What we’re looking for

Must have

• 1–2 years of hands-on experience running Meta Ads and Google Ads (Search, Performance Max, Shopping)
• You’ve personally managed monthly spends of at least ₹2–5 lakhs across accounts
• Strong grasp of Meta Ads Manager — campaign objectives, Advantage+, custom audiences, lookalikes, pixel/CAPI setup
• Comfortable with Google Ads — keyword research, Search campaigns, conversion tracking, PMax basics
• Active daily user of AI tools (Claude, ChatGPT, Midjourney, or similar). You can show us prompts you’ve actually written and workflows you’ve built
• Confident on client calls — you can present numbers, hold your ground, and explain things clearly without jargon
• Solid Excel/Google Sheets skills — pivot tables, basic formulas, building performance dashboards
• Analytical mindset — you can look at a table of numbers and tell a story
• Clear written communication in English — your WhatsApp messages and emails will go directly to founders of premium brands

Nice to have

• Experience with D2C or ecommerce brands (Shopify, WooCommerce)
• Familiarity with GA4, Meta Pixel events, conversion API setup
• Exposure to creative testing frameworks and ad copy writing
• Worked at an agency before (you understand client cadence)
• 
  

Job Description – Squad Lead

Location: Kochi, Kerala

Experience: 10+ Years

Role: Squad Lead

Notice Period: Immediate to 30 Days

About the Role

We are looking for an experienced and technically strong Squad Lead to join our engineering team in Kochi. The ideal candidate will have 10+ years of software development experience, with strong expertise in Java, Spring Boot, Microservices, Angular, and AI technologies.

The Squad Lead will be responsible for leading a cross-functional engineering squad, driving technical excellence, mentoring team members, and ensuring the successful delivery of scalable and high-quality software solutions.

Key Responsibilities

• Lead and manage a software engineering squad, ensuring successful delivery of projects and product initiatives.
• Provide strong technical leadership and hands-on guidance to the development team.
• Design and develop scalable, secure, and high-performance applications using Java, Spring Boot, and Microservices.
• Drive the adoption and integration of AI/GenAI technologies into products and engineering solutions.
• Collaborate with frontend teams and contribute to applications developed using Angular.
• Define technical approaches, architecture, coding standards, and best practices.
• Conduct code reviews and ensure adherence to engineering and quality standards.
• Mentor and coach developers, helping them grow technically and professionally.
• Work closely with Product Managers, Business Analysts, Architects, QA, DevOps, and other stakeholders.
• Break down complex requirements into actionable technical tasks and sprint deliverables.
• Participate in solution design, estimation, planning, and technical discussions.
• Identify technical risks and proactively drive their resolution.
• Ensure timely delivery while maintaining high standards of code quality, performance, security, and maintainability.
• Promote Agile/Scrum practices and foster a culture of collaboration, ownership, and continuous improvement.

Required Skills & Experience

• 10+ years of experience in software development, with significant experience in technical leadership.
• Strong hands-on experience with Java and Spring Boot.
• Strong understanding and practical experience with Microservices architecture.
• Experience developing and integrating RESTful APIs.
• Good experience with Angular and modern frontend development practices.
• Exposure to AI/ML, Generative AI, or AI-powered application development.
• Proven experience in leading software engineering squads/teams.
• Strong understanding of software architecture, design patterns, scalability, and performance.
• Experience working in Agile/Scrum development environments.
• Strong problem-solving, analytical, communication, and stakeholder-management skills.

Good to Have

• Experience with AWS and cloud-native application development.
• Knowledge of AWS services such as EC2, S3, Lambda, ECS/EKS, RDS, API Gateway, and CloudWatch.
• Experience with CI/CD, Docker, Kubernetes, and DevOps practices.
• Exposure to event-driven architectures and messaging platforms such as Kafka.
• Experience with cloud security, observability, and application performance monitoring.

Leadership Competencies

The successful candidate should demonstrate:

• Proven experience leading and mentoring engineering teams.
• Strong ownership and accountability for delivery.
• Ability to make sound technical decisions and influence stakeholders.
• Excellent communication and collaboration skills.
• Ability to manage priorities and deliver under tight timelines.
• A continuous-learning mindset with an interest in emerging technologies, particularly AI and cloud.

Education

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related discipline.

ou will work closely with AI engineers, product teams, and domain experts to build intelligent document processing and knowledge automation solutions. Responsibilities include:

• Develop AI-powered document ingestion and processing pipelines.
• Build knowledge extraction engines using NLP, Machine Learning, and Generative AI.
• Develop document-to-knowledge compilers that transform PDFs, Word documents, policies, regulations, and manuals into structured knowledge.
• Build AI agents and Agentic AI workflows for enterprise automation.
• Develop rule extraction and rule generation frameworks from business documents.
• Create semantic search and enterprise knowledge retrieval solutions.
• Develop backend APIs and AI services using Python.
• Design and optimize document processing pipelines for scalability and performance.
• Build and maintain MySQL databases for knowledge repositories and AI applications.
• Integrate LLMs from providers such as OpenAI, Azure OpenAI, Gemini, Claude, and open-source ecosystems.
• Collaborate with cross-functional teams to design scalable AI architectures.
• Participate in code reviews and follow software engineering best practices.
• Continuously evaluate and adopt emerging AI and GenAI technologies.

REQUIRED SKILLS — PROGRAMMING & DEVELOPMENT

• Strong proficiency in Python and a solid understanding of Object-Oriented Programming (OOP).
• Experience building REST APIs and backend services.
• Experience working with JSON, XML, and structured data formats.
• Knowledge of software design patterns and scalable architecture.
• Strong debugging, analytical, and problem-solving skills.

ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

• Strong understanding of Machine Learning concepts and algorithms.
• Experience with Natural Language Processing (NLP) and Generative AI solutions.
• Hands-on experience with Large Language Models (LLMs).
• Understanding of prompt engineering techniques.
• Knowledge of Agentic AI concepts and AI agent architectures.
• Experience developing AI-powered applications and workflows.

TECHNOLOGY STACK

AI & GenAI: Python · OpenAI · Azure OpenAI · Hugging Face · Agentic AI Frameworks · LLMs · NLP · Machine Learning

Knowledge Systems: ChromaDB · Pinecone · FAISS · Vector Databases · Semantic Search

Document Processing: Docling · OCR · PDF Processing · Apache Tika · Document Intelligence

Backend: Python · FastAPI · Flask · REST APIs

Database: MySQL

Tools & Technologies: Git · Docker · JSON · CI/CD · Azure / AWS / GCP

Amura’s Vision

We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us.

Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades. Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture. These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.

We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence.

Role Overview

We are looking for a Senior Software Engineer - Frontend with strong ReactJS expertise and an AI-first mindset to build scalable, high-performance and AI-powered experiences for Amura’s digital health platform.

You will work closely with Product, Design, Backend and AI teams to build modern, usercentric products in a fast-moving environment.

Key Responsibilities

•  Build scalable, responsive and high-performance web applications using ReactJS, JavaScript and TypeScript.

•  Develop reusable frontend components and translate Figma designs into production-ready experiences.

•  Integrate REST APIs and AI/LLM-powered capabilities into frontend applications.

•  Build frontend experiences for AI-native use cases such as conversational workflows, intelligent recommendations, search and automation.

•  Use AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, Windsurf or similar for coding, debugging, testing and documentation.

•  Evaluate AI-generated code and ensure it meets standards for quality, security, performance and maintainability.

•  Optimize frontend performance, Core Web Vitals, rendering and bundle size.

•  Write tests, participate in code reviews and contribute to frontend architecture and engineering best practices. .

What We’re Looking For Required Skills:

•  4 to 6 years of professional frontend development experience. •  Strong proficiency in ReactJS, JavaScript and TypeScript.

•  Strong understanding of React Hooks, functional components, component architecture and state management.

•  Experience with REST APIs, responsive design and frontend performance optimization.

•  Experience translating Figma designs into production-ready UI. •  Hands-on experience with AI-assisted development tools. •  Familiarity with integrating LLM/AI APIs into applications.

•  Strong problem-solving and analytical skills. Engineering & AI Expectations

•  Strong understanding of browser rendering, Core Web Vitals and accessibility.

•  Experience with lazy loading, code splitting, caching and bundle optimization.

•  Experience with Next.js and frontend testing frameworks such as Jest, React Testing Library or Playwright is a plus.

•  Experience building AI-powered or AI-native applications is a plus. •  Familiarity with LLMs, RAG, embeddings, tool calling or AI agents is an advantage.

•  Strong ownership, product thinking and ability to work in a fast-paced 0→1 environment.

•  Curious about emerging AI technologies and able to use AI as a development multiplier while maintaining strong engineering judgment.

Here are answers to some questions you may have

Where is your office?

Chennai (Velachery) Work Model Work from Office – because great stories are built in person!

Do you have an online presence?

https://amura.ai (we are @AmuraHealth on all social media)

For better insights: https://drive.google.com/file/d/11UHgXqYc7XSJ3IAdFyEm-EurgOzqsmzA/view?usp=sharing 

Job Description

Who are we?

Interestingly, in our own corner of the world, a hardworking team bent on hyper-excellence has quietly built a new way of medicine, a platform built on science, story, and soul.

Think of Amura as a "hospital on the cloud." We help people achieve the best standard of health they possibly can, taking full responsibility for their journey. We're a team of curious, ambitious individuals across all fields of work. Here, Doctors work alongside health coaches, designers, engineers, writers, and even filmmakers.

A cloud can reach anywhere and so can we. Our patients are from all over the world, and we are changing lives globally from your new home in Chennai. Over the last 8 years we have helped tens of thousands of people live better lives across 45 countries. 

Role Overview

We are looking for a hands-on Senior Software Engineer - Mobile to build and scale high-quality mobile experiences at Amura Health.

You will work primarily with React Native across both Android and iOS, partnering closely with Product, Design and Backend teams to build reliable, performant and user-friendly applications.

This role is ideal for an engineer who takes ownership, solves problems independently and uses AI-assisted development to build, test, debug and ship software faster without compromising engineering quality. 

What you'll do :

● Build, enhance and maintain React Native applications for both Android and iOS.

● Build features involving APIs, real-time updates, chat, notifications, local storage and data synchronisation.

● Develop scalable and maintainable mobile architecture with strong focus on performance, reliability and code quality.

● Develop scalable and maintainable mobile architecture with strong focus on performance, reliability and code quality.

● Work closely with Product, Design and Backend teams to translate requirements into simple, effective mobile experiences. 

● Diagnose and resolve performance issues, crashes, bugs and production problems.

● Implement secure handling of user data, authentication and API communication.

● Write unit, integration and UI tests and contribute to reliable release processes.

● Own features end-to-end, from understanding requirements and development through testing, release and iteration.

● Use AI coding tools to accelerate development, debugging, testing, code reviews and technical problem-solving.

● Proactively identify technical challenges and recommend practical solutions. 

What We're Looking For :

● 5 to 6 years of hands-on mobile application development experience.

● Strong professional experience with React Native and TypeScript.

● Mandatory: Experience building and maintaining applications for both Android and iOS.

● Strong understanding of React Native architecture, mobile app lifecycle, state management, API integration and performance optimisation.

● Experience working with REST APIs, authentication, local storage, push notifications and asynchronous data flows.

● Experience debugging and resolving Android/iOS-specific issues and production bugs.

● Good understanding of mobile security, data handling and secure API communication.

● Experience using AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot or similar to improve engineering productivity.

● Strong problem-solving skills with the ability to independently own and deliver features.

● Good product thinking and attention to detail. 

Good to Have :

● Experience with chat, voice, video or real-time communication features.

● Experience building AI-powered mobile experiences or integrating AI/LLM-based features.

● Experience with mobile analytics, crash monitoring and performance monitoring.

● Familiarity with CI/CD and automated mobile releases.

● Experience working on healthtech, consumer apps or products handling sensitive user data. 

Job Title : Full-Stack AI Product Engineer

Experience : 3+ Years

Work Mode : Remote

Time Zone : IST

Engagement Type : Freelance

Availability : Must be comfortable attending US client calls during IST night hours.

Role Overview :

We are looking for a Full-Stack AI Product Engineer with hands-on experience building and deploying production-ready AI-powered applications. The ideal candidate should have strong Python backend development skills, practical expertise in LLMs, AI agents, RAG pipelines and tool calling, along with basic frontend development knowledge.

Mandatory Skills :

Python, FastAPI, AI / LLMs, AI Agents, RAG, Tool Calling, PostgreSQL, Redis, Docker, GCP / Cloud Run, CI/CD, Basic React.js / Next.js.

Key Responsibilities :

• Design, develop and maintain AI-powered products using Python and FastAPI.
• Build and integrate LLM-based applications, AI agents, RAG pipelines and tool-calling workflows.
• Develop scalable backend services and REST APIs.
• Work with PostgreSQL and Redis for data storage, caching and performance optimization.
• Containerize applications using Docker and deploy services on GCP, preferably Cloud Run.
• Implement CI/CD pipelines and follow production deployment best practices.
• Develop and integrate basic frontend features using React.js or Next.js.
• Troubleshoot production issues, optimize performance and ensure application reliability.
• Collaborate with US-based clients and stakeholders during IST night hours when required.

Required Skills :

• 3+ years of relevant software development experience.
• Strong proficiency in Python and FastAPI.
• Hands-on experience with AI / LLMs and production-level AI product development.
• Practical experience building AI agents, RAG pipelines and tool / function-calling workflows.
• Good knowledge of PostgreSQL and Redis.
• Experience with Docker, GCP / Cloud Run and CI/CD pipelines.
• Basic working knowledge of React.js or Next.js.
• Understanding of REST APIs, application architecture, deployment and production debugging.
• Excellent problem-solving and communication skills.

Preferred Qualifications :

• Experience deploying and maintaining AI applications in production.
• Familiarity with LLM orchestration frameworks and vector databases.
• Experience with cloud-native application development and monitoring.

Important Requirements :

• Must have demonstrable, hands-on experience delivering production-grade AI products.
• Must be comfortable working remotely and coordinating with US clients during IST night hours.

Designation: AI Adoption specialist/AI Consultant

Location: Ahmedabad

Work Timings: Primarily Normal Shift (Flexible to support US clients)

Role Overview:

We are seeking a highly skilled and client-centric AI Consultant/AI Adoption Specialist to join our growing team. In this pivotal role, you'll serve as a vital link between our clients' strategic objectives and the transformative power of AI. You'll primarily focus on understanding their needs, scoping opportunities, and architecting actionable AI roadmaps.

Key Responsibilities:

 Collaborate closely with clients to understand their challenges and identify opportunities to apply AI.

 Assess client requirements and prepare solution strategies using AI tools and methodologies.

 Work with internal teams to design, propose, and help execute AI-powered solutions.

 Provide AI-based recommendations that align with the client’s business objectives.

 Communicate technical possibilities in a business-friendly manner to decision-makers.

 Take ownership of the client journey from discovery to implementation and support.

 Stay updated with AI trends, tools, and real-world use cases that can benefit clients.

Required Skills & Qualifications:  Minimum 2+ Years of hands on experience into Custom AI Development.  Minimum 3+ years of experience in roles like Project Manager, Customer Success Manager, or Account Manager, preferably in a service-based company or digital agency.  Strong understanding of AI concepts, trends, and tools (e.g., NLP, ML, Chatbots, Automation, native cloud technologis).  Some hands-on experience in AI projects – either through execution, coordination, or implementation.  Ability to manage multiple client engagements and communicate effectively with both technical and non-technical stakeholders.  Strong problem-solving mind set with the ability to translate business needs into AI opportunities.  Flexible to work with international clients, especially in the US time zone as needed.

About Juicelabs

Where creative engineering meets applied AI.

We build vertical, AI-native tools that unlock fresh insights and creative superpowers for clients in advertising, ecommerce, and beyond. We're a nimble team of founders and builders obsessed with using AI to solve real problems in ways that didn't exist eighteen months ago.

The Opportunity

A year ago, we would have posted this as a backend role. That role doesn't really exist any more.

Code has become nearly invisible. Agents write it, test it, and iterate on it faster than anyone could read it. What's left is the work above it: deciding what's worth building, designing systems that hold up at 10x, and building the setup that turns a clear spec into working software.

That's the job. At your level, it isn't one system. It's several workstreams, running at once.

You'll work directly with our Cofounder/CTO on products going from zero to one, with AI at the core of both what we build and how we build it. Real ownership, real scope, and an unusual amount of leverage: one engineer with good judgment and a well-tuned agent setup now ships what a small team used to.

What you'll do

• Own multiple workstreams in parallel. Two or three features of the same product moving at once, each with its own scope, edge cases, and failure modes. You decide where your attention goes this week, and nothing goes stale.
• Run a fleet, not a single agent. Design the setup that makes high-throughput work possible: how work gets broken down, specced, and run across many agents at once, so output scales without things breaking.
• Design the system. Service boundaries, data models, failure modes. Make the architectural calls before a line gets generated, and be able to explain the trade-off six months later.
• Write the spec. PRDs and technical designs are the new source code. A vague spec produces confidently wrong software, fast. Scope, edge cases, non-goals, what "done" means.
• Own it end to end. Ideation → design → build → deploy → monitor → iterate, including functional UX. Nobody hands you tickets.
• Set the workflow. Bring your harness: CLAUDE.md, AGENTS.md, subagents, custom commands, eval loops — whatever makes agents reliable rather than merely impressive. We want to steal your good ideas.

What we're looking for

• High agency. You see the gap and close it. You don't wait for direction, and you don't need to be chased for follow-through. This is the single trait we screen hardest for. And you can do it across several workstreams at once, without dropping threads.
• Real system design depth. You can reason about consistency, caching, queues, and scale — and about complexity, because you need to know when an elegant-looking solution is quietly quadratic. LeetCode ninja not required. Being able to explain why this won't blow up at 10x, very much required.
• Clear thinking, put to paper. You get the thinking straight first, then write it down so nobody has to guess: PRDs, design docs, PR comments. Writing is most of how you'll direct both humans and models, and muddy thinking on paper becomes muddy software.
• You've shipped to production. Deployed things, monitored them, been paged by them, fixed them. Docker, CI/CD, cloud infra. Our stack is mostly Python (FastAPI), Postgres, GCP/AWS — but we care more about how you think than which framework you've memorised.
• You orchestrate AI, not just use it. Not "I've tried Copilot," and not just "I use Claude Code." You've run multiple agents in parallel and developed opinions: how to split work so they don't step on each other, where they excel, where they confidently lie, how you structure a repo so they don't wander, and how you verify what comes back at volume.
• Startup energy. Multiple hats, fast cycles, and the judgment to balance "ship it now" against "will this survive contact with real users?"

Experience

3–6 years of professional experience (full-time positions, excluding internships).

Location / How to apply

On-site at our office in HSR Layout, Bangalore.

Apply through this posting, or email us with a link to the best thing you've built.

Job Overview

We are looking for an experienced AI/ML Engineer with strong full-stack development skills to design, develop, and deploy AI-powered applications. The ideal candidate should be proficient in Python backend development, frontend technologies, and LLM integration, with the ability to build end-to-end AI-native products, custom dashboards, and lightweight applications.

This role focuses on applying AI to real-world business problems through rapid prototyping, prompt engineering, Retrieval-Augmented Generation (RAG), and scalable application development.

Key Responsibilities

• Design, develop, and deploy end-to-end AI-powered applications.
• Build backend services and REST APIs using Python.
• Develop responsive frontends using React, Next.js, or similar frameworks.
• Integrate LLM APIs such as OpenAI, Claude, and Hugging Face into production applications.
• Build custom dashboards, internal tools, micro-apps, and AI-driven business solutions.
• Implement prompt engineering, embeddings, RAG pipelines, and context-aware AI systems.
• Rapidly prototype and validate ideas using modern AI-assisted development workflows.
• Optimize application performance, scalability, reliability, and AI usage costs.
• Work with data processing libraries such as Pandas and NumPy.
• Collaborate with product and business teams to translate requirements into functional AI solutions.
• Take ownership of features from ideation and development through testing, deployment, and production support.

Required Skills & Qualifications

• 2+ years of experience in software engineering, AI engineering, or application development.
• Strong proficiency in Python and backend development.
• Hands-on experience with React, Next.js, or similar frontend technologies.
• Practical experience integrating LLM APIs such as OpenAI, Claude, or Hugging Face.
• Understanding of REST APIs, microservices, and system design principles.
• Knowledge of prompt engineering, embeddings, and RAG architectures.
• Experience with data processing using Pandas and NumPy.
• Ability to independently build, test, and deploy full-stack applications.
• Strong problem-solving, debugging, and analytical skills.
• Ability to work in a fast-paced environment with a strong ownership mindset.

Good to Have

• Experience with LangChain, LlamaIndex, or similar AI frameworks.
• Familiarity with vector databases such as Pinecone, Weaviate, or Supabase.
• Experience building AI chat interfaces, copilots, assistants, and custom dashboards.
• Familiarity with cloud platforms, application deployment, and production monitoring.
• Experience with AI-assisted coding tools and rapid prototyping workflows.

What We Are Looking For

• A full-stack AI engineer who is comfortable working across both backend and frontend development.
• Someone focused on building practical AI-powered products rather than only training machine learning models.
• A developer who can prototype quickly, validate ideas, and iterate efficiently using a “vibe coding” approach.
• A self-driven professional who can take ownership of a feature from concept to production.

Please note that this job is only for Ahmedabad location.

Location: Nikol, Ahmedabad, Gujarat

Work Mode: Work From Office

We are looking for an Angular Developer who can understand product problems, work with partial requirements, use AI coding tools effectively, and take ownership of delivery.

This is a frontend-focused role, but you must have a good understanding of how the complete application works - frontend, APIs, backend, authentication, data flow, and production behaviour.

What We Need

• Good knowledge of Angular, TypeScript, JavaScript, Bootstrap 5, HTML and CSS
• Understanding of components, services, forms, routing and RxJS
• Experience with REST APIs / WebSockets
• Good understanding of frontend-to-backend flow
• Ability to identify whether an issue is frontend, API, backend, or data related
• Good debugging and problem-solving skills
• Ability to understand an existing codebase quickly
• Responsive and reusable UI development
• Git and deployment workflow knowledge
• Ability to test your own work before sending it to QA

AI-Enabled Development

We actively use AI coding tools such as Claude Code and provide the required subscriptions.

You should know how to use AI for:

• Understanding requirements
• Research
• Understanding existing code
• Technical planning
• Creating documentation
• Preparing feature/user flows
• Creating prototypes or proof of concepts
• Implementation
• Debugging
• Testing
• Code review

We do not want someone who only gives prompts to AI and waits for the answer.

You should be able to:

• Give proper context to AI
• Break problems into smaller tasks
• Validate AI-generated code
• Identify wrong assumptions
• Improve generated solutions
• Work on multiple activities in parallel
• Keep execution moving while AI tools are working

Problem-to-Execution Mindset

In our product team, requirements will not always come as a fully prepared task.

Sometimes you may receive only:

• A customer problem
• A business requirement
• A rough idea
• Partial clarity
• An expected outcome
• 
  

Your responsibility is to help convert that into something executable.

You should be able to:

Understand → Research → Ask Questions → Create Flow → Document → Prototype if Needed → Implement → Test → Verify

We are looking for people who can gradually prepare the solution, not only execute a ready-made task.

Product & Ownership Mindset

We are a product-based company.

You should understand:

• Why a feature is required
• What problem it solves
• How customers will use it
• What backend/API dependencies exist
• Edge cases and failure states
• Production impact

You should take responsibility for the complete outcome of your work.

Expected ownership:

Requirement → Planning → Implementation → Testing → Deployment → Verification → Documentation

Our culture is focused on ownership and outcomes, not simply completing assigned hours.

Flexibility & Delivery

You should be comfortable with:

• Changing priorities
• Working across different modules
• Urgent product requirements
• Learning unfamiliar technologies
• Supporting production fixes when needed
• Delivering some requirements within short timelines
• Taking responsibility for the final result

Future Scope - Agentic AI

Our future direction includes building more AI agents and automated product workflows.

Deep experience is not mandatory today, but you should be willing to learn:

• LLM APIs
• Tool calling
• MCP
• AI agents
• Agent workflows
• Automated operations

What We Value Most



• Strong fundamentals
• Learning speed
• Problem-solving ability
• Effective AI usage
• Product understanding
• Backend/API awareness
• Parallel execution
• Flexibility
• Quality
• Ownership
• Ability to grow into a Feature Owner / Product Owner

This role may not be suitable for candidates who expect fully prepared tasks, step-by-step instructions, or continuous dependency on senior developers.

Tealbox Digital · Gurgaon · Hybrid, 3 days a week · 5–10 years' experience

₹20–26 lakh fixed + up to 20% variable

Please fill the form to apply: https://forms.gle/zi11r958i7hjneRQA

The bet we're making

Most of what a media buyer does today - building campaigns, structuring accounts, reading reports, spotting the obvious optimisation - is going to be absorbed by AI. Not in five years. Now.

If that's right, the scarce skill in an agency stops being platform expertise. It becomes two things. Knowing what to point the systems at. And being the person a client actually trusts.

We're hiring for that role. You'd own a portfolio of client businesses. You'd run them through an AI layer we're building. You'd be the human accountable for what comes out. Not an account manager who uses AI. Someone whose job is to get far more done per person than the industry thinks possible.

About Tealbox

We're a paid media agency for B2B SaaS and DTC brands, on Meta, Google and YouTube. Accounts run from ₹5 lakh to ₹5 crore a month in ad spend. Small team, serious about the craft. We're working out what an agency should be once the execution gets automated.

What you'd own

• The portfolio. A book of client businesses, end to end. Measured on whether clients stay and grow and on the portfolio's margin - not on what you shipped.
• The client relationship. You're the person they call. You bring a point of view they didn't ask for. You tell them the truth when it's inconvenient. You say no when no is right.
• Quality control at scale. The hard part. Twenty accounts of AI-generated analysis means twenty accounts of plausible-looking output. Some of it is wrong. All of it is spending someone's money. You're the check.
• The AI layer, applied. We build the systems. You decide how they're used on each account. You spot where they're working and where they're producing confident nonsense. You tell us what to build next.
• A small pod. A couple of people plus the systems. You coach them and set how the pod works.

Who we're looking for

Five to ten years in account management, client servicing, performance marketing or growth. We care more about the shape of your judgment than the label on your CV.

• Business judgment. You see what actually drives a client's business. When you see a number, you have an instinct for whether it's plausible before you check.
• Client trust. You've held senior relationships and kept them. You've challenged a client and been right.
• AI fluency you can show. Not "I use ChatGPT." You've changed how you work. You know where the tools break. You've built something other people now use.
• The scepticism to catch a wrong answer. You don't accept confident output because it's well formatted.

On advertising knowledge, read carefully. You need to read performance data with confidence. You need to hold your own with a media buyer. You need to be credible with a client about why performance moved. That's a real bar and we'll test it. You do not need to build campaigns yourself. We think the buying craft moves into the systems. What doesn't move is judgment about whether the output is any good. If you're a strong media buyer who wants to keep building campaigns, this job will frustrate you.

Compensation

Fixed: ₹20–26 lakh a year, depending on experience. Variable: up to 20% of fixed, paid twice a year. Three targets: client retention in your portfolio, portfolio margin, and accounts under management.

Why this is worth your time

• You'd be early on the thing everyone's about to do. Every agency will claim to be AI-native within two years. You'd have actually done it, with proof.
• Your output is your market value. If you can run twenty-five accounts where a peer runs six, you're worth several times that peer in the market. The variable is built to reflect that. This role makes you more valuable, not more locked in.
• Direct line to the founder building the system you use. Your feedback goes straight to the person building it.

The honest version

• The AI layer runs on a few accounts today. It's being expanded. Some of what you need will be ready when you join. Some won't. You'd shape it from real problems.
• The ramp is real. You start with five to eight accounts, not twenty. Twenty to thirty is where this goes within a year, if the systems deliver. That's the direction, not the starting line.
• Gurgaon-based, hybrid, three days a week in office; days agreed with Varun.
• We work to the outcome. When a client outcome, a launch or a live problem needs attention outside normal hours, we deal with it. That expectation grows with seniority. Three things come with it. Your manager owes you recovery time after a heavy stretch. Anything that causes repeated out-of-hours work gets fixed as a process problem, not absorbed. And nobody here measures commitment by response time at midnight.
• We're mid-repair. We're a founder-led business fixing how it manages people. You'd be joining during, not after.
• Nobody has done this job before. Including us.

How we'll hire

Four rounds, quick, and you'll know where you stand at every step.

1. Track record and business judgment: A conversation.
2. Assignment: A three-hour take-home exercise.
3. Client leadership: Assignment discussion and a live client role-play.
4. Values and ways of working: A two-way conversation.

If this sounds like the kind of challenge you’d enjoy, we’d love to hear from you.

Laravel Developer – Education ERP

Experience: 2 years

Work Mode: Permanent Work From Home

Job Summary

We are looking for an experienced Laravel Developer with strong expertise in Core PHP, Laravel, and MySQL to develop, maintain, and optimize scalable Education ERP applications.

Key Responsibilities

• Develop and maintain ERP modules such as HRMS, Admissions, Fees, Examinations, LMS, Inventory, and Finance.
• Write clean, secure, and efficient code using Laravel and Core PHP.
• Design and optimize MySQL databases, complex SQL queries, and bulk data processing.
• Develop and integrate REST APIs and third-party services.
• Troubleshoot bugs and optimize application performance.
• Collaborate with the team to deliver scalable and reliable ERP solutions.

Required Skills

• Strong knowledge of Laravel, Core PHP, and MySQL.
• Experience with MVC architecture, Eloquent ORM, CRUD operations, and REST APIs.
• Good understanding of SQL joins, database optimization, HTML, CSS, JavaScript, and jQuery.
• Familiarity with Git/GitHub and web application security.

Preferred Experience

• Experience developing Education ERP or university management software.
• Knowledge of HRMS, Fees, Admissions, Examinations, and LMS modules.
• Experience handling large datasets and enterprise applications.

 Hiring: SEO Executive (Night Shift)

📍 Location: Sector 63, Noida

⏰ Shift Timings: 8:00 PM to 5:00 AM (Mon–Fri)

Cab Facility : Provided ( One side )

💼 Job Type: Full-time | On-site

📅 Experience: 1–3 Years

Salary: Hike On Current

📌 Key Responsibilities

On-Page & Off-Page SEO: Keyword research, meta tags, content optimization, and link building.

Technical SEO: Conduct site audits, improve speed/indexing, fix crawl errors, and implement schema markup.

Analytics & Reporting: Track performance using Google Analytics, Google Search Console, Ahrefs, SEMrush, and Screaming Frog.

Competitor & Market Analysis: Monitor rankings, backlink profiles, and stay updated with search engine algorithm updates.

🎯 Requirements

Proven experience as an SEO Executive / Specialist.

Comfortable working fixed night shifts (8 PM - 5 AM).

Hands-on experience with standard SEO & Analytics tools.

Strong written & verbal English communication skills.

🎁 Perks: Night shift allowances + Fixed weekends off (Sat-Sun) + Excellent growth opportunity.

Role & Responsibilities

• Own end-to-end architecture, system design, development, and production deployment of scalable, AI-powered applications.
• Architect and develop high-performance backend services using Node.js, NestJS, TypeScript, Express.js, and Go.
• Design scalable web applications using React.js and Next.js, and cross-platform mobile applications using Flutter and Dart.
• Design distributed systems, microservices, event-driven architectures, and real-time applications capable of handling massive data volumes and high concurrent traffic.
• Design and optimize PostgreSQL/MySQL databases, MongoDB, Redis caching, database indexing, transactions, and query performance.
• Build real-time ride-booking, driver-allocation, location-tracking, and proximity-based matching systems using geospatial technologies such as PostGIS.
• Design and implement REST APIs, WebSockets, secure authentication, authorization, RBAC, and third-party integrations.
• Build and integrate Generative AI applications, LLM-powered chatbots, AI agents, RAG pipelines, embeddings, vector databases, tool calling, and intelligent automation workflows.
• Develop AI and backend services using Python and integrate LLM platforms such as OpenAI, Claude, and Gemini.
• Architect secure payment integrations, transaction workflows, webhook processing, idempotency, and payment reconciliation.
• Design and implement cloud-native infrastructure using AWS, Docker, CI/CD pipelines, and production monitoring tools.
• Ensure application security, scalability, reliability, performance, maintainability, and cost efficiency.
• Lead technical decision-making, code reviews, debugging, performance optimization, documentation, and mentoring of developers.
• Independently own critical engineering deliverables and drive products from concept and architecture through development, testing, deployment, and production support.

Preferred Candidate Profile

• 710+ years of software development experience, with substantial hands-on experience in technical architecture and production-grade application development.
• Expert-level proficiency in Node.js, NestJS, TypeScript, REST APIs, backend architecture, and microservices.
• Strong experience with React.js, Next.js, and modern frontend architecture.
• Hands-on experience with Flutter and Dart for Android and iOS application development.
• Proven experience designing scalable systems, handling large data volumes, concurrent workloads, and performance-critical applications.
• Strong experience with PostgreSQL, database design, indexing, query optimization, transactions, Redis, and geospatial systems.
• Practical experience building and deploying LLM-powered applications, AI agents, RAG systems, embeddings, vector search, and AI workflow automation.
• Proficiency in Python for AI integrations and backend services; Go language experience is highly desirable.
• Strong understanding of authentication, authorization, application security, payment integrations, and secure API design.
• Hands-on experience with AWS, Docker, CI/CD, Git, production deployments, logging, and monitoring.
• Familiarity with Kafka/RabbitMQ, Kubernetes, LangChain/LlamaIndex, and event-driven architectures is an advantage.
• Exceptional system-design, analytical, debugging, and problem-solving skills.
• Strong ownership, independent execution, technical leadership, communication, and mentoring abilities.
• Experience in startups or building products from scratch is highly desirable.

What We Expect

We are looking for a highly hands-on technical leader who can independently architect, design, develop, optimize, and deploy complex production systems. The ideal candidate must demonstrate genuine technical depth, strong engineering judgment, and the ability to lead end-to-end product development across backend, web, mobile, cloud, and AI technologies.

Education: B.E. Computer Science/IT degree (or any other engineering discipline)

Experience: 9+ years

 Work timings: 2:00 TO 11:00PM/ 6:30PM to 3:30 AM

Position Requirements:

• Program Strategy & Planning
• Own program charters, end-to end roadmaps, success criteria and alignment to business objectives.
• Translate company strategy into clear program priorities, milestones, and resource plans across multiple teams.
• Lead quarterly and long-range capacity planning, balancing scope, resources and timelines across workstreams.

•          Program Execution & Delivery

• Drive delivery of large, technically complex programs comprising multiple projects and teams; ensure on-time, high-quality outcomes.
• Orchestrate cross-functional dependencies, manage sequencing, and remove organizational impediments.
• Operate program-level release, milestone and launch processes; maintain program schedules and integrated plans.

•          Technical Leadership & Influence

• Maintain technical fluency across systems (APIs, services, data, infra, web and mobile platforms) to identify risks, trade-offs, and integration concerns.
• Partner with engineering leads and architects to surface technical dependencies, propose solutions, and influence technical direction.
• Lead technical intake, prioritization and change control for program scope.

•          AI Programs & Governance

• AI-specific program accountability: Own model lifecycle programs (experimentation → validation → deployment → monitoring → scale), model risk management, and coordination with MLOps and data science teams.
• Governance and control: Implement and maintain governance for clinical, editorial, regulatory, and AI-specific risks (bias, explainability, monitoring), coordinating policies and controls with legal, compliance, and domain stakeholders.
• Offshore reality: Design and operate for distributed teams—ensure timezone overlap strategies, clear escalation mechanics, minimize decision latency, and define RACI for offshore/onshore handoffs.
• Experience in mentoring engineering teams to integrate AI assistants into their daily development workflows to increase velocity and code quality.

•          Stakeholder Management & Communication

• Serve as primary program owner for senior leadership and business partners; run steering committees and executive reviews.
• Produce concise executive-level reporting (status, risks, mitigation, outcomes) and tailor communications for diverse audiences.
• Build strong cross-functional relationships and drive alignment through regular touchpoints and stakeholder feedback loops.

 •          Risk, Budget & Vendor Management

• Develop and maintain program-level risk registers, contingency plans, and escalation protocols.
• Manage program budgets, track spend vs. plan, and coordinate with finance and procurement as needed.
• Own vendor/third-party integration and delivery where applicable.

•          Process, Tools & Automation

• Establish program governance, templates, and tooling conventions to improve visibility and efficiency.
• Identify automation and tooling opportunities (including AI-assisted tooling) to reduce manual work and improve program telemetry.
• Drive PMO maturity: scalable processes, reporting, and knowledge management across the organization.

•          Measure Impact

• Define and track program success metrics and business outcomes; iterate to maximize value delivery.
• Ensure learnings are captured and operationalized for future programs.

Role & Responsibilities:

• 10+ years of program or technical project management experience delivering large-scale technical programs in fast-paced, matrixed organizations.
• Proven track record driving multi-team, cross-functional technical initiatives from concept to measurable business outcomes.
• Strong technical literacy (experience with APIs, backend services, cloud infrastructure, data flows and integrations).
• Advanced proficiency with Agile at scale methodologies (e.g., SAFe, LeSS, or equivalent) and deep SDLC knowledge.
• Experience with capacity planning, roadmaps, dependency management, and cross-team prioritization.
• Expert-level proficiency in JIRA and Confluence; comfortable with program/portfolio tooling (Aha!, Productboard, Roadmunk, Airtable, Smartsheet, BI dashboards).
• Excellent stakeholder management and executive communication skills; proven ability to influence without direct authority.
• Strong analytical and problem-solving skills; data-driven mindset.
• Bachelor's degree in Computer Science, Engineering, or equivalent experience.
• Fluent English.

•          Preferred

• Certifications such as PMP, CSM, SAFe Program Consultant (SPC), or equivalent.
• Experience in digital publishing, web/content platforms, AI/ML products, healthcare information systems, or digital media.
• Experience managing program budgets and vendor/contract relationships.
• Familiarity with emerging project automation and Agentic AI tools for program management and decision support.
• Prior experience mentoring PMs and leading PMO or program-level process change initiatives.

Campus Ambassador — OmniRush

We’re looking for students to introduce OmniRush to their college communities and help peers build with AI.

What you’ll do

• Share OmniRush through campus groups and short demos.
• Host hands-on sessions using materials we provide.
• Help students get started and share your own projects.

Who can apply

Students aged 18+ with an interest in AI, good communication skills, and initiative. College club experience is helpful but not required.

What you’ll get

• Higher daily AI allowances as your referrals become active users.
• Bronze, Silver, and Gold ambassador tiers and leaderboard recognition.
• Opportunities for standout projects to be featured.
• Slides, demo scripts, posters, and a personal invite link.

Commitment: Around 2–3 hours weekly, plus campus sessions.

Compensation: AI allowance boosts apply while active. Reward details will be announced before the cohort begins.

Starts: 27 October 2026 · 25 positions

Apply: omnirush.ai/ambassadors

Job Summary

The Data Scientist / Analyst Consultant will design, develop and deploy advanced analytics and AI/ML models to detect fraud, waste and abuse across the AB PM-JAY ecosystem. The role involves working with large volumes of claims, beneficiary, provider and transaction data, engineering fraud features, building and validating detection triggers, and converting model outputs into investigation-ready suspicious claims and cards. The Data Scientist will build triggers using advanced analytics techniques including NLP, OCR, Social Network Analysis and deep learning, support their validation with the National Anti-Fraud Unit (NAFU), and continuously improve model efficacy based on feedback and confirmed fraud outcomes.

Key Responsibilities

• Design, develop and deploy statistical and machine learning models for fraud, waste and abuse detection on scheme claims and card data.

• Perform advanced data analytics including clustering, classification, profiling, anomaly detection, predictive modelling, scoring, regression, link prediction, co-occurrence grouping, similarity matching and causal modelling.

• Develop fraud detection triggers using advanced analytics techniques such as NLP, OCR, Social Network Analysis and deep learning, and document trigger construct, logic and thresholds for review and approval.

• Apply both supervised and unsupervised learning approaches, training models on labelled historical fraud data and scheme ecosystem data.

• Conduct data profiling, quality assessment, cleaning, standardisation and feature engineering to create analysis-ready datasets.

• Execute triggers and models on claim and card data within defined turnaround timelines and generate case-level suspicious output with trigger reasons and evidence fields.

• Validate model outputs, assess false positive risk, calibrate thresholds and measure trigger efficacy against defined performance benchmarks. • Fine-tune and retrain models on the basis of subsequent events, reviewer feedback and confirmed fraud outcomes.

• Collaborate with medical experts, business analysts, subject matter experts and technology teams to translate domain knowledge and clinical rules into executable analytical logic.

• Prepare model documentation, trigger submission packs, dashboards and reports for internal review committees and client-facing evaluations. 

Preferred Skills

• Experience in healthcare analytics, health insurance claims analytics or fraud, waste and abuse detection.

• Experience in fraud analytics roles with a proven track record of developing and implementing fraud detection models and strategies.

• Knowledge of AB-PMJAY / health benefit packages / claims adjudication workflows.

• Exposure to Social Network Analysis, graph analytics or link analysis for collusion and network detection.

• Familiarity with OCR, image analytics and document forgery or duplication detection.

• Experience with model deployment, versioning and MLOps practices.

• Exposure to dashboarding and BI tools such as Power BI, Tableau or equivalent. 

Experience

• Minimum 5 years of experience in analytics and managing big data, out of which at least 3 years in developing AI/ML models.

• Demonstrable credentials of having worked on and developed AI/ML models independently.

• Experience in fraud analytics, anomaly detection or risk modelling will be preferred.

• Experience in healthcare, health insurance or government health scheme data will be an added advantage.

Location -Bangalore

Work Mode -Fully in-office, 6 days a week

Experience -3+ years in AI engineering, with LLM-based systems shipped to production

About the Role

● The AI Engineer will own systems that read, search and reason over project and tender documents.

● Inputs include large tender packages, scanned PDFs, BOQs, tables, forms and engineering drawings such as P&IDs.; Outputs should include accurate answers with source references, structured data and workflows used by estimators and project teams in live bids, planning, procurement and execution.

● The role covers taking features from initial experiments to production and owning their accuracy, latency and cost after release.

Key Responsibilities

Agents and Retrieval

● Build AI agents that plan and execute multi-step tasks using document search, tools and APIs.

● Build RAG pipelines covering ingestion, retrieval, reranking and answers with source references.

● Use agent workflows within retrieval to refine searches, collect supporting evidence and verify outputs.

Document Intelligence

● Build extraction pipelines for PDFs, scanned documents, tables and forms.

● Convert unstructured tender content into structured data that the platform can use.

Vision and Image Understanding

● Build image-understanding workflows for P&IDs;, including symbols, equipment, labels and connections.

● Locate and remove selected elements from diagram images while preserving surrounding content.

Quality and Reliability

● Create evaluation datasets and automated checks to measure accuracy and catch regressions.

● Debug failures across retrieval, agent decisions, tool calls and model outputs.

Product and Production

● Build backend services and REST APIs. ● Integrate AI features into the Workwise web application.

● Take features from experiment to production while managing reliability, latency and cost

Required Qualifications

● 3+ years of hands-on experience building AI systems, including at least one LLM-based application running in production.

● Strong Python and software engineering fundamentals.

● Experience with backend services, REST APIs, databases, authentication and frontend integration.

● Experience building applications using LLM APIs.

● Working knowledge of RAG, embeddings, retrieval and vector databases.

● Experience with tool calling, structured outputs and multi-step agent workflows.

● Working understanding of multimodal models and image processing for visual analysis and editing.

● Systematic evaluation skills: measuring results and investigating system failures.

● Ownership of implementation, testing, deployment and ongoing improvement.

Good to Have

● OCR, document layout analysis or complex table extraction.

● Computer vision experience, including object detection, segmentation or image inpainting.

● Familiarity with construction, procurement or tender documents.

● Cloud infrastructure and production monitoring.

● Working knowledge of Go. 

What You'll Actually Do

This is not a coordination role. You'll be inside ad accounts every day making decisions that directly impact client growth.

Campaign Strategy & Execution

• Build, launch, and manage Meta Ads and Google Ads campaigns end-to-end
• Manage ecommerce, lead generation, and conversion-focused campaigns
• Create scalable account structures across Meta and Google
• Set up audiences, placements, bidding strategies, budgets, and creative testing frameworks
• Plan and execute testing roadmaps for accounts under management

Optimization & Performance Management

• Monitor account performance daily
• Analyze CTR, CPM, CPC, CPA, ROAS, MER, Frequency, Conversion Rate, and other key metrics
• Identify winning opportunities and scale them profitably
• Diagnose performance drops and recommend corrective actions
• Manage budgets efficiently across multiple client accounts
• Continuously improve campaign performance through data-backed experimentation

Creative Strategy Collaboration

• Work closely with designers and content teams to develop high-performing creatives
• Translate performance insights into actionable creative briefs
• Analyze competitor ads, market trends, and consumer behavior
• Identify creative fatigue and recommend fresh testing angles
• Understand what makes winning ad creatives work and how to replicate success

Client Communication

This role is client-facing.

• Join weekly client review calls
• Present campaign performance confidently and clearly
• Explain strategies, results, and recommendations without jargon
• Respond professionally to client communications
• Manage expectations and proactively flag risks or opportunities
• Build trust through transparency and data-driven decision making

AI-First Workflow

At Kontrah Labs, AI is part of how we work.

You'll be expected to:

• Use ChatGPT, Claude, Gemini, or similar tools daily
• Use AI for research, reporting, copywriting, analysis, and ideation
• Build prompt workflows that improve efficiency and quality
• Use AI creative tools to accelerate testing and production
• Stay updated on emerging AI tools and bring useful ideas to the team

If a task can be completed better and faster with AI, we expect you to know how.

Must-Have Requirements

Experience

• 2–3 years of hands-on paid media experience
• Minimum 2 years of agency-side experience managing multiple client accounts
• Proven experience managing Meta Ads and Google Ads accounts independently
• Experience handling monthly ad spends across multiple accounts

Platform Expertise

• Strong expertise in Meta Ads Manager
• Strong expertise in Google Ads (Search, Shopping, Performance Max)
• Understanding of audience strategy, attribution, bidding, scaling, and conversion optimization
• Familiarity with GA4, Meta Pixel, Conversion API, and tracking fundamentals

Skills

• Strong communication and presentation skills
• Excellent problem-solving mindset
• Strong analytical thinking and decision-making ability
• Understanding of ad creatives and creative testing frameworks
• Comfortable interpreting data and translating it into action
• Good Google Sheets / Excel skills

AI Adoption

• Active daily user of AI tools such as ChatGPT, Claude, Midjourney, Gemini, Perplexity, or similar
• Able to demonstrate real AI workflows used in daily work

Nice to Have

• Experience working with D2C or ecommerce brands
• Experience with Shopify brands
• Familiarity with landing page optimization and CRO principles
• Exposure to creative strategy and copywriting
• Experience managing premium or high-AOV brands

Job Title: Java Lead Developer – Cucumber & AI

Experience: 12-15 Years

Required Skills: Java, Cucumber, AI

Job Description:

We are looking for a Java Lead Developer with strong experience in Java development, Cucumber-based testing, and at least 1 year of experience in AI. The candidate should have good technical and leadership skills, with the ability to guide the development team and ensure quality delivery.

Key Responsibilities:

Lead Java development activities and guide the team in designing and developing applications. Work with Cucumber for automated testing and BDD-based test scenarios. Contribute to AI-related development and implementation. Collaborate with QA and other teams to ensure application quality, performance, and timely delivery.

Mandatory Skills: Java, Cucumber, AI experience of at least 1 year.

Experience: 6+ years in Java development, with relevant Cucumber experience and 1 year of AI experience.

About Us: The Next Generation of WealthTech  

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

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

[Learn more: www.cambridgewealth.in]

The Role: Engineering Meets Team Meets Customer

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

Key Impact Areas: Ship Fast, Break Ground  

1. Backend & AI/ML Innovation  

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

2. Product Leadership & Execution  

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

3. Financial Domain Expertise  

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

Your Tech Stack & Experience  

The Must-Haves  

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

Nice-to-Haves  

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

Ready to Own the Backend and Shape Finance?  

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

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

Our High-Velocity Hiring Process:  

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

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

This is a high-ownership, founder-facing GTM role.

You will be responsible for identifying, engaging and converting enterprise accounts and building a predictable pipeline for Pingbix.

You will work closely with the Founder, Product, Engineering and Customer Success teams to understand customer problems, create business cases, run POCs and convert them into long-term enterprise relationships.

This is not a role for someone who only wants to manage inbound leads.

We are looking for someone who can hunt, sell, build relationships and close.

What You'll Do

Enterprise Sales & New Business

• Identify and acquire enterprise customers across BFSI, fintech, D2C, consumer internet and other high-volume communication businesses.
• Build and manage your own enterprise pipeline.
• Prospect CXOs, founders, CTOs, CIOs, CMO/Head of Growth, Customer Experience and Digital leaders.
• Conduct discovery meetings and understand customer communication challenges.
• Position Pingbix across SMS, WhatsApp, RCS, Voice and AI-powered communication.
• Build business cases and ROI-led proposals.
• Drive POCs from discovery → solution → implementation → commercial closure.
• Own the sales cycle from first conversation to signed contract.
• Build long-term relationships with strategic accounts.

GTM & Market Development

• Identify new ICPs, industries and use cases for Pingbix.
• Develop account-based sales strategies for high-value prospects.
• Research competitors and understand the CPaaS, MarTech and AI communication landscape.
• Work with the Founder to develop new GTM plays.
• Build partnerships and channel opportunities where relevant.
• Help develop repeatable sales processes as the company scales.

Cross-functional Ownership

Work closely with:

• Founder & CEO
• Product
• Engineering
• Solutions / Pre-sales
• Customer Success
• Marketing

to ensure customer requirements are translated into successful deployments.

Junior PHP/Laravel Developer – Education ERP

Experience: 1.5–3 Years

Employment Type: Full-Time

Location: Remote

We are looking for a Junior PHP/Laravel Developer with hands-on experience in Core PHP, Laravel, and MySQL. The candidate will work on Education ERP/EdTech applications, developing new features, fixing bugs, handling databases, and supporting existing applications.

Key Responsibilities

• Develop and maintain web applications using Core PHP and Laravel.
• Write and optimize MySQL/SQL queries and perform database operations.
• Develop and maintain ERP/EdTech modules and features.
• Create and integrate REST APIs and third-party services.
• Debug and resolve application issues and bugs.
• Understand existing codebases, database structures, and data flow.
• Follow coding standards, Git practices, and development best practices.
• Coordinate with senior developers to complete assigned tasks on time.

Required Skills

• Core PHP & Laravel
• MySQL / SQL
• Database relationships, joins, CRUD, and query optimization
• HTML, CSS, JavaScript & jQuery
• REST APIs and API integration
• Basic Git/version control
• Good debugging and problem-solving skills
• Ability to understand and work with an existing codebase

Preferred Experience

Experience with any of the following will be an advantage:

• Education ERP / EdTech
• LMS / School / College Management Systems
• Admission & Student Management
• Fee Management
• Examination Modules
• HRMS
• Finance Modules

Qualifications

B.Tech/B.E. (CS/IT), BCA, MCA, or equivalent qualification with relevant development experience.

What We Offer

• Remote Work
• Opportunity to work on Education ERP products
• Learning and professional growth opportunities
• Exposure to real-world enterprise applications
• Supportive development environment

AI Architect – Enterprise AI & Generative AI ( Remote) - Contractual

Experience: 8+ years

Location: Remote, India

Employment Type: Contractual

Working Hours: 3:00 PM – 12:00 AM IST

Client Engagement: US-based client

About the Role

We are looking for a hands-on, client-facing AI Architect to lead the architecture, technical direction, and production implementation of enterprise AI and Generative AI solutions for a US-based client.

You should combine strong software engineering and cloud architecture fundamentals with practical experience building secure, scalable, and reliable AI applications. This role involves end-to-end technical ownership, from solution design and prototyping to production deployment and optimization. It is not a research-only, advisory-only, or prompt-writing position.

Key Responsibilities

• Lead end-to-end architecture and delivery of AI/ML and Generative AI solutions, from discovery and proof of concept to production rollout.
• Design LLM-powered applications using Retrieval-Augmented Generation (RAG), embeddings, vector databases, AI agents, and orchestration frameworks.
• Define data ingestion, chunking, retrieval, grounding, evaluation, and knowledge-refresh strategies.
• Select appropriate AI models and platforms based on quality, latency, cost, security, and operational requirements.
• Design cloud-native architectures, APIs, integrations, identity controls, monitoring, and resilient deployment patterns.
• Create architecture diagrams, technical designs, implementation roadmaps, and technical standards.
• Implement AI quality and safety measures, including hallucination mitigation, guardrails, access controls, and prompt-injection defenses.
• Guide engineering, data, ML, and DevOps teams through implementation, code reviews, troubleshooting, and go-live readiness.
• Lead technical discussions and design reviews with US client stakeholders.
• Establish production monitoring, CI/CD, versioning, incident handling, and performance and cost optimization practices.

Required Skills & Qualifications

• 8+ years of relevant experience in software engineering, AI/ML engineering, data engineering, or technology architecture.
• Proven experience personally architecting and deploying at least one enterprise-grade AI or Generative AI solution into production.
• Strong practical knowledge of LLMs, RAG, embeddings, vector databases, orchestration frameworks, and model evaluation.
• Hands-on experience with Python and APIs, including prototyping, code review, and troubleshooting.
• Experience with at least one major cloud platform: Microsoft Azure, AWS, or Google Cloud Platform (GCP).
• Understanding of data pipelines, SQL/NoSQL databases, containers, CI/CD, MLOps, and LLMOps.
• Knowledge of enterprise security, privacy, identity and access management, and responsible AI practices.
• Experience independently leading architecture workshops, design reviews, and technical discussions with US clients.
• Excellent written and spoken English, documentation, and stakeholder management skills.
• Availability to work from 3:00 PM to 12:00 AM IST and willingness to accept a contractual engagement.

Preferred Experience

• Azure AI Foundry, Azure OpenAI, Amazon Bedrock, or Google Vertex AI.
• Azure AI Search or equivalent retrieval tools.
• LangChain, LangGraph, Semantic Kernel, and agent/tool orchestration.
• Model fine-tuning, predictive ML, document intelligence, multimodal AI, or real-time AI applications.
• Experience in cloud modernization, enterprise integrations, data analytics, or technology consulting.
• Relevant AI/cloud architecture certifications and experience mentoring technical teams.

What Success Looks Like

• Designing secure, scalable, production-ready AI solutions rather than demos or conceptual presentations.
• Making sound technical decisions around feasibility, performance, reliability, cost, and AI risks.
• Taking ownership of architecture decisions and resolving technical blockers with limited supervision.
• Building trust with senior US stakeholders and collaborating effectively with India-based delivery teams.

Contract Details

• Initial engagement: Minimum 3 months, with extension subject to project requirements and performance.
• Working schedule: 3:00 PM – 12:00 AM IST.
• Potential permanent employment: After 18 months, the client may consider direct permanent employment at its sole discretion. Conversion is not guaranteed.

Mandatory Screening Criteria

Candidates should be able to:

• Explain an enterprise AI/GenAI solution they personally architected and deployed, including architecture, scale, evaluation, and business impact.
• Whiteboard an enterprise RAG or agentic solution covering data flow, security, authentication, authorization, monitoring, and cost controls.
• Discuss real-world model-quality issues, hallucinations, privacy risks, incidents, and architectural trade-offs.
• Lead a technical design review with US client stakeholders.
• Confirm acceptance of the working hours and contractual engagement.

Apply only if you have hands-on experience architecting and deploying enterprise AI/GenAI solutions in production.

 Senior/Lead Full Stack Engineer – AI

Experience: 5+ Years

Location: Bengaluru / Hyderabad

Employment Type: Permanent

Preferred: Immediate Joiners

Key Skills

• React.js
• Python
• Generative AI (GenAI)

Job Description

We are looking for an experienced Senior/Lead Full Stack Engineer – AI with strong expertise in React.js, Python, and Generative AI. The candidate should have hands-on experience building scalable full-stack applications, developing backend APIs, and integrating AI/GenAI solutions into enterprise applications.

Interested candidates: Please share your updated resume, current CTC, expected CTC, and notice period.

Role Overview

We are looking for an experienced professional to evaluate AI-generated responses for conversational AI agents used in travel-related products. The role focuses on assessing response accuracy, relevance, completeness, and quality to improve AI performance.

Key Responsibilities

• Evaluate AI-generated responses against predefined guidelines and quality standards.
• Perform data annotation, labeling, classification, and quality reviews.
• Identify incorrect, misleading, irrelevant, or incomplete responses and potential AI hallucinations.
• Analyze evaluation data to identify recurring errors, quality gaps, and improvement opportunities.
• Track quality metrics, document findings, and recommend improvements.
• Use Excel/Google Sheets and basic SQL, where applicable, to analyze evaluation data.
• Collaborate with AI and Machine Learning teams to improve conversational AI performance.

Required Skills

• 5–8 years of experience in Data Annotation, AI Evaluation, Content Quality, Search Relevance, or Quality Assurance.
• Strong analytical, problem-solving, and attention-to-detail skills.
• Experience applying evaluation guidelines and quality standards consistently.
• Proficiency in Excel or Google Sheets.
• Good written communication and documentation skills.
• Understanding of quality metrics and data analysis.

Good to Have

• Exposure to Generative AI, LLMs, conversational AI, or AI response evaluation.
• Experience with Human-in-the-Loop (HITL), AI training data validation, or hallucination detection.
• Basic SQL knowledge.
• Experience in travel, hospitality, or search quality evaluation.

Experience: 8 – 12 Years 

Location: Mumbai 

Role and Responsibilities: 

1. Responsible and accountable for all sales and service management functions ensuring that they are delivered in line with standard and operating model 

2. Provide leadership, ownership, and accountability for the developed application (supporting Sales & Service Delivery) and ensuring that the operating model is implemented and continually improved upon 

3. Develop, implement, monitor and report SLAs that are aligned to industry standards and best practices 

4. Responsible to drive integration amongst the teams from other support functions and sales for smooth delivery of accounts 

5. Responsible to coach the junior members of the teams. Provides guidance to resolve any issues in a time bound manner. Java Spring Boot: Spring Boot Data, Spring Boot Integration, Spring Boot Messaging, Spring Boot Web, Spring Boot Security, and Spring Boot AOP., MySQL, REST API, SOAP APIs, JavaScript, Angular, Tomcat, Drools, ELK, Docker, Kubernetes, MongoDBMobile Tech Lead React Native & Flutter, NodeJs Restful web services SQL and Databases HTML, CSS, JavaScriptUI UX Tech Lead HTML5, CSS3, Javascript, JQuery and Bootstrap to integrate and maintain front-end code. 

6. Responsive design principles and frameworks Web (W3), mobile and Google best practices/Standards cross browser/device testing and semantic markup Report Lead Power BI, Advanced Excel, Macros DevOps LeadDevOps engineer, Agile principles, Java, bash scripting, JBoss, Wildfly, tomcat, apache 

Must have: 

1. To develop, test and implement new software programs 

2. To ensure the software database is designed and updated 

3. To test and recommend software improvements 

4. To install, customize and integrate the commercial software packages independently 

5. Chatbot development 6. AI experience 

Job Description:

We are looking for an experienced Senior Full Stack Engineer with strong expertise in Java, Node.js, frontend technologies, AWS cloud services, and basic AI integration.

Required Skills:

• Java, Spring Boot, Node.js
• React / Angular / Vue.js
• REST APIs, SOA, Microservices
• AWS EC2, Lambda, EKS, CloudWatch
• AWS CDK, CloudFormation
• Docker, CI/CD
• MongoDB, AWS Architecture
• Basic experience with Amazon Bedrock / AI Integration

Important Requirements:

• 7–12 years of relevant experience.
• Must be currently based in Bangalore.
• Immediate joiners or candidates serving notice up to 25 days only.
• No relocation candidates.

Principal Software Engineer

Location: Bangalore India

Department: AI Engineering / Quality Assurance

Experience Level: Mid to Senior

We are looking for a highly motivated Senior AI Test / Automation Engineer to design and scale automated validation frameworks for AI/ML models, LLM-based applications, and agentic systems. This role is critical to ensure that AI solutions meet enterprise standards for quality, reliability, safety, and compliance before and after production deployment.

Key Responsibilities

• Build and maintain AI test automation frameworks for pre-qualification and continuous validation of models and agent workflows
• Develop comprehensive test suites, including:
• Unit, integration, and end-to-end (E2E)
• Functional, regression, performance, and safety testing
• Validate AI system behavior, including:
• Non-deterministic LLM outputs
• Hallucinations and edge cases
• Multi-step agent decision-making
• Design and manage evaluation systems:
• Golden datasets
• Benchmarking pipelines (accuracy, latency, reliability)
• Automate testing within CI/CD pipelines for model updates, prompt changes, and tool integrations
• Implement observability and telemetry to enable traceability, monitoring, and audit readiness
• Collaborate cross-functionally with ML, MLOps, Product, and Security teams to define quality gates and release criteria
• Track and report quality KPIs, including test coverage, defect leakage, and system reliability
• Drive root-cause analysis and continuous improvement across the AI testing lifecycle

Required Skills

Core Engineering

• Strong programming skills in Python; familiarity with Bash, TypeScript, or Go
• Experience with test automation frameworks such as PyTest, Playwright, Selenium, or Cypress
• Proficiency in CI/CD tools (GitHub Actions, Jenkins, GitLab CI)
• Experience with cloud platforms (AWS, Azure, GCP) and containers (Docker, Kubernetes)

AI / ML & Agentic Systems

• Hands-on experience with LLM ecosystems (OpenAI, Anthropic, Bedrock)
• Familiarity with:
• RAG architectures and vector databases (Pinecone, Weaviate)
• Agent frameworks (LangChain, LlamaIndex, AutoGen)

AI Testing Techniques

• Experience with non-deterministic testing approaches (statistical assertions, tolerance thresholds)
• Knowledge of evaluation methods:
• LLM-as-a-judge
• BLEU, ROUGE, semantic similarity scoring
• Experience with prompt and agent regression testing
• Understanding of AI safety testing, including adversarial testing, bias/fairness validation, and jailbreak detection

Tooling (Preferred)

• AI testing & observability tools: LangSmith, TruLens, Arize, Weights & Biases
• Evaluation tools: DeepEval, Ragas, PromptFoo, Giskard
• Monitoring: Prometheus, Grafana, OpenTelemetry

Soft Skills

• Strong analytical and problem-solving skills
• Excellent communication and cross-functional collaboration
• Data-driven mindset with focus on quality KPIs
• Detail-oriented with a strong bias toward automation and scalability

Experience Requirements

• 7+ years in QA, SDET, or test automation engineering
• Proven experience building and scaling automation frameworks
• Hands-on experience with AI/ML systems or LLM-based applications
• Experience testing RAG pipelines or agentic workflows
• Owned end-to-end AI test strategy and architecture
• Defined quality metrics and release gates
• Delivered scalable validation pipelines for production AI systems
• Supported audit and compliance readiness

Preferred

• Experience in enterprise or regulated environments (SOC2, ISO 27001, etc.)
• Exposure to:
• Shift-left testing practices
• Production observability and monitoring
• Chaos or resilience testing

Senior-Level Differentiators

Education

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field

Nice-to-have:

• ISTQB certification
• Cloud/ML certifications (AWS, Azure, GCP)
• AI testing certifications

What Success Looks Like

• AI systems that are accurate, reliable, and safe
• Fully automated test pipelines integrated into CI/CD
• Measurable improvements in defect leakage and model quality
• Strong observability and auditability across AI systems
• Scalable validation frameworks supporting rapid AI innovation

Hiring for AI Engineer

Exp: 5 - 8 yrs

Edu : BE/B.Tech/MCA

Work Location : Pune

Skill Set:

Total experience ranging from 5 - 8 years in software engineering/AI roles

Min 5 years strong programming experience in Python or Typescript is a MUST

Min 2.5 years hands-on experience in AI with LLMs, RAG pipelines, and AI frameworks

Experience with cloud platforms (AWS/Azure/GCP)

Job Summary 

A Senior Full Stack Observability Engineer – AI Ops & Autonomous Observability to handle / manage , Design and implement enterprise-wide observability across applications, infrastructure, cloud, network, database and digital services. Lead adoption of Datadog, AI Ops, SRE and Autonomous Observability. Build agentic AI and multi-agent orchestration solutions that automate operational workflows and enable autonomous operations.

Technical Skills

• Datadog (Expert)
• OpenTelemetry
• Distributed Tracing
• Application Performance Monitoring
• AI Ops
• LangGraph/CrewAI/AutoGen/Semantic Kernel
• Python
• Azure, AWS
• Kubernetes
• ServiceNow Integration
• 
  

Enterprise Observability Strategy

• Define observability standards, governance and operating model.
• Create monitoring roadmaps, service health frameworks, business service dashboards and dependency mapping.
• 
  

Full Stack Observability Scope

• Applications, APIs, microservices and user journeys.
• Windows, Linux, VMware, storage and infrastructure platforms.
• Azure and AWS.
• Network monitoring, SQL and NoSQL databases.
• 
  

Datadog Platform

• Deploy and optimize Datadog solutions.
• Build dashboards, monitors, alerts and observability-as-code frameworks.
• Integrate Datadog with ServiceNow, Teams and enterprise tooling.
• New Relic exposure is optional.
• 
  

AI Ops Responsibilities

• Event correlation and noise reduction.
• Predictive analytics and anomaly detection.
• Incident intelligence and root cause analytics.
• Proactive issue identification and MTTR reduction

Role Overview:

As Product Designer at Marbles Health, you'll own the end-to-end design of our product experience from early strategy and user research through to final UI execution. This is a high-ownership role for someone who wants to influence not just how the product looks, but how it works and why.

This isn't a role for someone whose first instinct is only "I can make this look pretty." 

Before you read further, a few honest questions:

A user's health data flow feels confusing. What's your first move? 

❌ "I'll flag it to the PM and wait for direction."

 ✅ "I'll sit with the clinical logic until I understand why it's built this way, then propose what should change."

You're designing a screen explaining a brain-health metric to a non-technical user. Where do you start? 

❌ "I'll make it look clean and modern."

 ✅ "I'll figure out what the user is actually afraid of or confused about, then design for that first."

How do you use Claude or ChatGPT in your work? 

❌ "I use it for inspiration and copy." 

✅ "I use it to pressure-test flows, generate variants fast, and get from a rough idea to a testable prototype in hours, not days."

What does ownership look like to you? 

❌ "I hand off the Figma file and move to the next ticket." 

✅ "I stay close to it post-launch - funnel data, session recordings, A/B results - because shipping isn't the finish line."

If the "yeah!" answers sound like you, keep reading.

What You'll Do

• Lead UX strategy for key product areas - translating user needs, business goals, and clinical/health considerations into clear design direction.
• Design end-to-end user flows, wireframes, and high-fidelity UI for web and mobile experiences.
• Conduct and synthesize user research (interviews, usability testing, surveys) to validate design decisions.
• Build and maintain a scalable design system/component library in collaboration with engineering.
• Partner closely with Product Managers and Engineers from ideation through shipping — you're in the room for strategy, not just execution.
• Translate complex health information into simple, trustworthy, and accessible interfaces.
• Use data (funnel metrics, session recordings, A/B tests) to inform and iterate on designs post-launch.
• Present design rationale clearly to stakeholders, including non-design leadership.

What We're Looking For

• 2-5 years of experience as a Product Designer or UX/UI Designer, ideally in a consumer app, health tech, or fintech environment.
• A strong portfolio demonstrating both UX thinking (flows, research, problem-framing) and high-quality UI execution.
• Proficiency in Figma (or equivalent) and familiarity with prototyping tools.
• Experience designing for both web and mobile platforms.
• Comfort working with ambiguity - you can turn a loosely defined problem into a structured design process.
• Basic understanding of accessibility standards (WCAG), especially relevant in health products used by diverse populations.
• Strong communication skills, able to justify design decisions with reasoning, not just aesthetics.
• Bonus: prior experience in health tech, wellness, or a regulated/trust-sensitive consumer category.

Nice to Have

• Experience running or contributing to a formal design system.
• Familiarity with basic HTML/CSS (to collaborate more fluidly with engineering).
• Exposure to behavioral design principles (habit formation, nudges) relevant to health engagement.
• Motion design skills (micro-interactions, transitions, product animations).
• Experience creating print collaterals (brochures, packaging, in-clinic materials).
• An AI-forward mindset - curiosity about using AI tools in the design process and designing AI-native product experiences.

What Success Looks Like in the First 6 Months

• Ownership of at least one major product flow, redesigned or shipped based on user research.
• A functioning or improved design system adopted across the product.
• Established a lightweight, repeatable UX research process for the team.

If you want real ownership in health tech and are ready to dig into complexity most people avoid, we'd love to see your work.

To be considered, please also fill out this short form:

https://docs.google.com/forms/d/e/1FAIpQLSeyThzAf9zfkhJTyN_X7jbcSj0a7pNzzKF9LZMcZr_fRRPjUw/viewform?usp=header

Job Description: Senior Full Stack AI Engineer 

Position: Senior Full Stack AI Engineer ​

Experience: 6+ Years​

Location: Bangalore (preferred), Hyderabad​

Joining: Immediate 

About the Role 

We are looking for highly skilled Senior Full Stack AI Engineers who can independently 

design, build, and deploy AI-powered applications leveraging Large Language Models 

(LLMs). The ideal candidate should be equally comfortable working across the full stack, 

from developing scalable backend services and modern frontend applications to creating AI-

driven solutions and automated testing frameworks that enable developer-led quality 

engineering. 

This role requires hands-on expertise in LLM development, application architecture, and test 

automation, effectively helping organizations accelerate delivery while reducing dependency 

on traditional QA teams. 

Key Responsibilities 

∙Design, develop, and deploy AI-powered applications using Large Language Models 

(LLMs), with experience in Claude preferred. 

∙Architect and build scalable full stack applications using Java, Spring Boot, 

ReactJS, NextJS, TypeScript, and JavaScript. 

∙Develop intelligent workflows utilizing AI agents, prompt engineering, retrieval-

augmented generation (RAG), and model integrations. 

∙Create end-to-end automated test suites using Playwright, Perfecto, and other 

modern automation frameworks to support developer-led testing. 

∙Build and integrate RESTful APIs and microservices following modern architecture 

principles. 

∙Design and manage data solutions using SQL, NoSQL, and MongoDB. 

∙Develop event-driven applications using messaging platforms such as Kafka. 

∙Implement secure, scalable, and high-performance solutions using Spring Security, 

OAuth, and multi-threaded programming. 

∙Leverage AWS services including ECS, Lambda, and Step Functions to build cloud-