AI Operations Specialist

How do Technogisers function?

Value: Exploring technologies and implementing them on the projects provided they make business sense and deliver value.

Engagement: Be it offshore or onshore, we engage ourselves daily with the clients. This assists in building a trustworthy relationship at the same time, collaborating to come up with strategic solutions to business problems.

Solution: We are involved in providing hands-on contributions towards Backend & Front-end design and development at the same time, flourishing our DevOps culture.

Thought Leadership: Attend or present technical meet-ups/workshops/conferences to share knowledge and help build Technogise brand.

Note: All our roles are customer-facing roles.

This is a full-time 5 days work from office role as a Technology Consultant (Lead) located in Bangalore (Indiranagar).

Core Skills:

• Strong system design and architecture expertise.
• Production-level experience with React (TypeScript) and Python (FastAPI) — able to own a feature end-to-end
• Familiarity with Classic ASP and .NET for maintaining and migrating legacy applications
• Solid AWS fundamentals: EKS, RDS, Lambda, IAM, S3, CloudFront, and VPC networking
• ⁠Kubernetes and Docker fluency; comfortable reading and writing deployment YAMLs
• Experience with OpenResty or Nginx-based reverse proxy and API gateway configuration
• Familiarity with security practices: OAuth2, Okta, parameterized queries, secrets management (Doppler or equivalent), and static analysis tooling
• Strong written communication — able to produce RFCs, runbooks, and architectural decision records
• ⁠Experience with Redis, Celery, or similar caching and task queue systems is a plus
• Exposure to product analytics SDKs (Amplitude or equivalent) is a plus
• Experience with MSSQL and SQL Server in a production environment is a plus
• Prior experience in a VC, PE, or fintech engineering context is advantageous but not required

Going beyond:

• Establish credibility within the team as a result of technical and leadership skills
• Mentoring fellow team members within the project team and providing technical guidance to others beyond project boundaries
• Actively participate in organisational initiatives

Key Requirements / Skills

• 6+ years of overall experience in software development with strong expertise in building scalable web applications.
• 2+ years of experience as a Technical Lead, managing development teams and driving project delivery.
• Strong technical decision-making ability, including architecture design, technology selection, and implementation of best practices.
• Front-end expertise: Strong experience in React, JavaScript, TypeScript, and building responsive and user-friendly UI/UX.
• Back-end development: Hands-on experience with Node.js, RESTful APIs, API design, and server-side architecture.
• AI/ML knowledge: Experience in implementing AI/ML models or integrating AI-based solutions to solve business problems.
• Cloud & DevOps exposure: Experience with AWS/Azure, understanding of CI/CD pipelines, and cloud-based deployments.
• Code quality & best practices: Experience in code reviews, Git version control, and ensuring maintainable and secure code.
• Team leadership: Ability to mentor developers, guide technical discussions, and collaborate across teams.
• Strong communication skills to effectively interact with technical and non-technical stakeholders.
• Experience working in high-compliance environments such as healthcare systems is a plus.

Education Qualifications:

• B.Tech/M.Tech in CSE/IT/AI/ML from a good university

Title: Sr. Python Developer (Full-Stack & AI)

Location: Onsite – Mumbai, Maharashtra (Western Line)

Experience: 2 - 5+ years

Pay: ₹400,000.00 - ₹600,000.00 per year

Joining: Immediate

About the Role

We are building AI products for enterprise use and need a Senior Python Developer for our core team. You will be responsible for the full-stack architecture—designing both the backend and frontend. We want someone who works smart by using AI tools to build fast, but also has great skills to code manually when the logic is complex or needs high precision.

Key Responsibilities

• Build and maintain full-stack applications using Python and Django.
• Use AI-powered IDEs and development tools as your primary method to ship code quickly.
• Perform manual coding and deep debugging for complex logic that AI cannot handle alone.
• Collaborate with AI/ML teams to put machine learning models into production.
• Design how the entire system (frontend, backend, and database) works together.
• Optimize the application for speed, security, and reliability.
• Participate in technical discussions and help make architecture decisions.

Required Skills & Experience

• Minimum 5 years of professional Python development experience.
• Strong expertise in Django (Primary) and experience with FastAPI or Flask.
• Full-stack capability: Ability to design and build both the frontend and backend.
• Modern Tooling: High proficiency in using AI-powered IDEs and AI dev-agents to speed up your workflow.
• Manual Coding: Strong ability to write clean, manual code for complex backend logic.
• Solid understanding of databases like PostgreSQL, MySQL, or Redis.
• Familiarity with Cloud platforms (AWS/Azure/GCP) and Docker.
• Experience or strong interest in AI/ML pipeline integration.

Good to Have

• Experience with React or Next.js for the frontend.
• Exposure to message brokers like RabbitMQ or Kafka.
• Knowledge of Vector databases or RAG pipelines.
• Experience with CI/CD and basic DevOps.

Experience:

• Total: 3 years (Required)
• Python/Django: 3 years (Required)

Work Location: In person (Borivali, Mumbai)

Wama Technology

Location: Mumbai (Onsite - Chembur)

Experience: 8 – 14 years

Salary: ₹10L – ₹16.5L/yr (Monthly: ₹85,000 – ₹1,40,000 depending on skill set)

Employment Type: Full-time

Job Description:

We are looking for a high-caliber Lead PHP – Laravel Developer with a strong background in technical leadership to join our team. This role requires a blend of deep hands-on coding and strategic team management. You will oversee a team of developers while acting as the primary technical liaison for our client, ensuring that the architecture is scalable and that the team follows rigorous development standards.

Key Responsibilities:

• Team Leadership: Manage and mentor a team of developers, conduct code reviews, and drive technical excellence across the sprint.
• Architecture & Design: Design complex database schemas and system architectures using Laravel 10+ and PHP 8.x best practices.
• Client Management: Lead technical discussions with client stakeholders to gather requirements and provide progress updates.
• Code Quality: Implement standardized linting, unit testing, and documentation protocols to maintain a high-quality codebase.
• Performance Optimization: Identify and fix bottlenecks in high-traffic applications, focusing on Eloquent query optimization and caching strategies.

Technical Skills & Qualifications:

• Total Experience: 8–14 years in PHP Development.
• Leadership Experience: Strictly 4+ years of experience in leading technical teams, managing sprints, and mentoring junior/mid-level developers.
• Laravel Expertise: Advanced proficiency in Laravel (Service Containers, Service Providers, Middlewares, and Custom Packages).
• Full-Stack Capability: * Strong frontend skills: Tailwind CSS, JavaScript (ES6+), and HTML5/CSS3.
• Working knowledge of React.js and TypeScript for modern interface development.
• Database & API: * Expertise in MySQL (Complex joins, indexing, and optimization).
• Deep experience in developing and securing RESTful APIs with OAuth/Sanctum.
• Environment: Proficiency in Docker, Linux/Ubuntu server management, and Git (Gitflow workflow).

Additional Requirements:

• Agile Mastery: Deep understanding of Scrum/Agile ceremonies and the ability to manage workloads via Jira or ClickUp.
• AI-Driven Development: Experience integrating or using AI-assisted tools (Cursor, Windsurf, or GitHub Copilot) to increase team velocity is a significant plus.
• Communication: Fluent professional English is mandatory for client-side coordination.

What We Offer

• Leadership Role: High-level autonomy to make architectural decisions and lead a dedicated team.
• Competitive Pay: A performance-driven salary package with growth opportunities.

Experience:

• Total PHP Development: 8+ years (Required)
• Team Leading: 3+ years (Required)
• Laravel: 6+ years (Required)

🧭 Tech Lead (Backend / Fullstack | 7–10 Years)

Location: Bangalore (On-Site, Hybrid)

Company Type: Public-Listed Product Company

We’re Building a “Top 1% Engineering Org”

We’re building a high-talent-density, AI-first R&D organization from scratch — inside a publicly listed company undergoing a full-scale transformation.

Think:

→ Rewriting legacy systems into AI-native architectures

→ Embedding LLMs + Agentic AI into core workflows

→ Reimagining platforms, infra, and data systems for the next decade

This is the kind of shift you’d expect from Google, Microsoft, or Meta —

Except you get to build it from day 0 → scale it globally.

About the Role / Team

We are building a next-generation AI-first R&D organization in Bengaluru, focused on solving complex problems across LLMs, Agentic AI systems, distributed computing, and enterprise-scale architectures.

This initiative is part of a publicly listed global company investing heavily in AI-driven transformation, re-architecting its platforms into intelligent, autonomous systems powered by large language models, workflows, and decision engines.

You will be working on:

• Agentic AI systems & LLM-powered workflows
• Distributed, scalable backend systems
• Enterprise-grade AI platforms
• Automation-first engineering environments

🚀 The Mandate

Lead execution of mission-critical systems while staying hands-on — bridging architecture and delivery.

🧩 What You’ll Do

• Own end-to-end delivery of complex engineering initiatives (0→1, 1→N)
• Design systems across backend + frontend (if fullstack)
• Translate ambiguous problems into structured technical solutions
• Drive engineering best practices, code quality, and velocity
• Mentor engineers and elevate team performance
• Collaborate with stakeholders on roadmap and execution strategy

🧠 What We’re Looking For

• Strong experience in backend systems + optional frontend frameworks
• Proven ability to lead projects and deliver at scale
• Solid understanding of system design and architecture patterns
• Ability to balance speed vs quality vs scalability trade-offs
• Strong communication and leadership without authority
• Strong coding skills in Python / Java / Go / Node.js
• Solid understanding of data structures, system design basics, and backend architecture
• Experience building scalable APIs and services
• Familiarity or curiosity around AI/LLMs, async systems, or event-driven design
• Strong debugging, problem-solving, and ownership mindset

Nice to Have

• Experience integrating LLMs, vector databases, or AI pipelines
• Contributions to architecture at scale
• Experience with Agentic AI / LLM orchestration frameworks
• Background in product engineering or platform companies
• Exposure to global-scale systems (millions of users / high throughput)

🔥 What Sets You Apart

• Experience leading platform builds or major system rewrites
• Exposure to AI systems, LLM integrations, or intelligent workflows
• Built platforms used by millions of users / high-throughput systems
• Experience with event-driven systems, stream processing, or infra platforms
• Prior work on AI/ML platforms, model serving, or intelligent systems

Background: We Commonly See (But Not Limited To)

• Our team often includes engineers from top-tier institutions and strong research or product company or DeepTech or AI Product backgrounds, including:
• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.

We are a Florida-based nonprofit organization seeking a full-time remote AI Programmer to support automation and AI-driven workflows.

Schedule:

42 hours per week

Flexible schedule overlap with EST preferred

Compensation:

$750 to $1,000 + bonus

Long-term contractor role

Responsibilities:

• Build and maintain AI-driven websites, apps, and automation systems
• Work with large language model APIs (OpenAI, Gemini, etc.)
• Improve prompt engineering and structured outputs
• Optimize performance and reliability

Requirements:

• Experience working with APIs (REST, JSON)
• Experience with PHP, React.js, and database systems.
• Familiarity with LLM models and prompt design
• Understanding of automation workflows
• Reliable high-speed internet
• Ability to communicate clearly in English

Preferred (not required):

• Experience with image generation APIs
• Experience with Google Sheets / Apps Script
• Experience deploying lightweight cloud functions

To apply, please reply with:

• Your resume
• Examples of relevant AI or automation work
• GitHub or portfolio (if available)
• Your current location and availability

Qualified applicants will receive a follow-up application link.

Required Skills & Qualifications

● Strong hands-on experience with LLM frameworks and models, including LangChain,

OpenAI (GPT-4), and LLaMA

● Proven experience in LLM orchestration, workflow management, and multi-agent

system design using frameworks such as LangGraph

● Strong problem-solving skills with the ability to propose end-to-end solutions and

contribute at an architectural/system design level

● Experience building scalable AI-backed backend services using FastAPI and

asynchronous programming patterns

● Solid experience with cloud infrastructure on AWS, including EC2, S3, and Load

Balancers

● Hands-on experience with Docker and containerization for deploying and managing

AI/ML applications

● Good understanding of Transformer-based architectures and how modern LLMs work

internally

● Strong skills in data processing and analysis using NumPy and Pandas

● Experience with data visualization tools such as Matplotlib and Seaborn for analysis

and insights

● Hands-on experience with Retrieval-Augmented Generation (RAG), including

document ingestion, embeddings, and vector search pipelines

● Experience in model optimization and training techniques, including fine-tuning,

LoRA, and QLoRA

Nice to Have / Preferred

● Experience designing and operating production-grade AI systems

● Familiarity with cost optimization, observability, and performance tuning for

LLM-based applications

● Exposure to multi-cloud or large-scale AI platforms

Key Responsibilities:

• Develop and maintain scalable Python applications for AI/ML projects.
• Design, train, and evaluate machine learning models for classification, regression, NLP, computer vision, or recommendation systems.
• Collaborate with data scientists, ML engineers, and software developers to integrate models into production systems.
• Optimize model performance and ensure low-latency inference in real-time environments.
• Work with large datasets to perform data cleaning, feature engineering, and data transformation.
• Stay current with new developments in machine learning frameworks and Python libraries.
• Write clean, testable, and efficient code following best practices.
• Develop RESTful APIs and deploy ML models via cloud or container-based solutions (e.g., AWS, Docker, Kubernetes).

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Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

• Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
• Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

• Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
• Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
• Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

• Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
• Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

• Lead the development and deployment of AI and machine learning models.
• Implement best practices for model training, testing, and validation.
• Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

• Define and implement microservices architecture patterns and best practices.
• Ensure that microservices are designed for scalability, flexibility, and resilience.
• Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

• Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
• Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

• Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
• Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

• Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
• Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

• Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
• Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

• Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
• Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

• Bachelor's or Masters degree in computer science, Data Science, or a related field.
• Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
• Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
• Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
• Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
• Excellent communication and interpersonal skills.
• Ability to lead cross-functional teams and drive innovation.
• Strong problem-solving and critical-thinking abilities.
• Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

• AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
• Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
• Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.