AI Sales Executive / AI Automation Outreach Specialist

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.

We are seeking a hands-on and technically strong Generative AI Engineer to join the AI Platform Capabilities team as part of a Platform Implementation Partner engagement. In this role, you will design, build, and deploy enterprise-grade Generative AI platform capabilities across multiple Local Business Units operating on both GCP and Azure environments.

The role focuses on engineering production-ready and reusable GenAI components across the full AI stack, including Decision & Orchestration Layers, Execution Runtime Layers, and Build & Lifecycle Layers. You will work closely with implementation partners and Data & AI teams to ensure scalable, enterprise-compliant AI capabilities are delivered within project timelines. This is a deeply technical engineering role with strong emphasis on implementation and operationalization rather than client management.

Key Responsibilities:

• Design and implement enterprise-grade RAG pipelines including ingestion, chunking, embeddings, vector search, retrieval logic, and evaluation frameworks.
• Build multi-agent AI systems with orchestration, semantic routing, memory management, workflow execution, and agent communication capabilities.
• Develop centralized LLM Gateway solutions covering model routing, observability, caching, rate limiting, and policy enforcement.
• Implement scalable GenAIOps, AgentOps, and MLOps frameworks for deployment, monitoring, evaluation, and governance of AI systems.
• Build scalable AI services and REST APIs using Python and deploy them on cloud-native infrastructure.
• Implement AI governance, safety guardrails, audit logging, PII protection, and compliance frameworks.
• Integrate AI solutions into CI/CD pipelines and provision infrastructure using Infrastructure-as-Code practices.

Must-Have Skills:

• Strong hands-on experience with Generative AI, RAG pipelines, embeddings, vector databases, and retrieval evaluation.
• Experience building agentic AI systems including orchestration frameworks, semantic routers, reasoning engines, and memory management.
• Expertise with LLM Gateway implementations, tool integrations, event-driven architectures, and AI runtime systems.
• Solid understanding of GenAIOps, AgentOps, and MLOps principles and tooling.
• Strong experience with GCP AI/ML ecosystem including Vertex AI, Cloud Run, GKE, Pub/Sub, BigQuery, and Cloud Storage.
• Excellent Python programming skills for AI pipelines, APIs, and automation workflows.
• Experience implementing AI governance, safety, compliance, and monitoring frameworks.
• Hands-on experience with CI/CD pipelines and Terraform-based infrastructure automation.

Nice-to-Have Skills:

• Experience working in multi-cloud environments across GCP and Azure.
• Familiarity with LangChain, LlamaIndex, RAGAS, DeepEval, or Vertex AI Rapid Eval.
• Exposure to Knowledge Graphs, Document Intelligence platforms, and Agent Marketplace concepts.
• Experience with enterprise AI-ready data layers including Vector Stores, Feature Stores, and Embedding Infrastructure.
• BFSI domain knowledge including regulatory compliance and data sovereignty considerations.
• Google Cloud Professional Machine Learning Engineer certification.
• Experience working in large-scale enterprise transformation programs. 

Strong Backend Engineer Profiles

Mandatory (Experience 1) – Must have 2+ years of hands-on Backend Engineering experience building production-grade systems in a B2B SaaS or product environment

Mandatory (Experience 2) – Must have strong backend development experience using at least one backend framework such as FastAPI / Django (Python), Spring (Java), or Express (Node.js)

Mandatory (Experience 3) – Must have a solid understanding of backend fundamentals, including API development, service-oriented architecture, data structures, algorithms, and clean coding practices

Mandatory (Experience 4) – Must have strong experience working with databases (SQL and/or NoSQL), including efficient data modeling and query optimization

Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs and backend services, including integrations with external systems (CRMs, payment gateways, ERPs, data platforms, etc.)

Mandatory (Experience 6) – Must have experience working in cloud-based environments (AWS / GCP / Azure) and be familiar with Git-based collaborative development workflows

Mandatory (Domain) – Experience with financial systems, billing platforms, fintech applications, or SaaS revenue-related workflows is highly preferred

Mandatory (Domain) – Experience with financial systems, billing platforms, or fintech applications is highly preferred (fintech background is a strong plus)

Mandatory (Company) – Must have worked in product companies / startups, preferably Series A to Series D

Job details

Pay

• ₹1.8LPA - ₹2.5LPA(Year)

Job type

• Full-time

Education : Any UG Degree

Shift and schedule

• Rotational shift

Location : Singanallur,Coimbatore

Mandatory :

Valid Driver’s License

Driving Skills

Do you believe your code could bring millions out of poverty in India?

At Rang De, we are building a purpose driven peer-to-peer lending platform to provide low cost credit for the underserved. Using the power of cloud, mobile and analytics, we want to make rangde.in the place where change happens every day.

We are looking for a Full Stack Developer to produce scalable software solutions.

You’ll be part of the engineering team that’s responsible for the full software development life cycle, from conception to deployment.

As a Full Stack Developer, you should be comfortable with front-end, back-end and Rest API coding, development frameworks and third-party libraries.

Key skills that you must bring to the table:

• Work with development teams and product managers to ideate software solutions
• Design and implement software using client-side and server-side technologies
• Write effective APIs which work well for both web as well as mobile applications
• Unit test software to ensure responsiveness and efficiency
• Use secure coding practices
• Build features and applications with a mobile responsive design
• Document your work for the benefit of the team

Experience and qualifications:

• Familiarity with common stacks and frameworks like Spring Boot, Hibernate, Thymeleaf, Bootstrap
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of Java is a prerequisite, experience in Python will be an added advantage
• Familiarity with PostgreSQL, Apache, Tomcat, Rest API
• Good knowledge of AWS cloud technologies. Skills in DevOps will be a big bonus
• Given that we continue to work remotely, we expect you to have great communication skills and willingness to work under an agile environment
• Must have an innate ability to learn and creative ability to solve big challenges  
• Degree in Computer Science or relevant field
• 1-5 years of relevant full stack experience

Benefits:

• Work from Anywhere (WFA)
• Work with a start-up team passionate about social impact
• Access to coaching from global thought leaders
• You are free to think and execute big
• Competitive salary
• Equitable stock options
• Additional 11 days leave for Vipassana Meditation
• Create sustainable social impact with your work

Key Job Responsibilities:

• Expertise in handling out bound sales.
• Ability to communicate clearly with customers. 
• Identify potential customers to sell Taxmann’s products. Demonstrate them Products and Services.   Close sales deals and maintaining good customer rapport.
• Schedule feedback activities with existing clients to make sure they are satisfied and request referrals. Interact with customers to Cross sell products
• Follow and achieve sales goals on a monthly, quarterly and yearly basis
• CRM Operations is mandatory wherein one has to maintain customer’s record and the activities done for one single customer
• Excellent Customer service skills.
• Attend trainings to stay up to date with the specifications of new products and service offerings.

• Provide objective guidance without personal or political considerations.
• Pitching ideas for projects based on gaps in the market and technological advancements.
• Rolling out fixes and upgrades to software, as needed.
• Securing software to prevent security breaches and other vulnerabilities.
• Setting up a continuous build environment to speed up software development and deployment process.
• Architecting overall, comprehensive, and efficient practices.
• Guiding developers and operation teams in case of an issue.
• Monitoring, reviewing, and managing technical operations.

Requirements:

• Degree in Computer Science, Information Systems, or related field.
• Previous experience working on a 24x7 cloud or SaaS operation team.
• Spring Boot Java 8, Spring Core, Spring Boot, Spring MVC, Swagger, Tomcat 8, Maven, Jenkins, SVN, GIT, Postman/Newman, RESTful Services, Containers.
• Experience with infrastructure management and monitoring.
• Proven in developing, implementing, and providing solutions to the given problem in all Java technologies.
• Proficient in stitch-together end-to-end application starting from front-end web development, back-end development, middleware integration, and persisting data in no SQL or DBMS databases.
• Ability to work independently and as part of a team.