FLS Officer

Client: Capgemini

Location: Hyderabad

Experience: 8+ Years

Senior Software Engineer

As a Senior Software Engineer, you will design, develop, test, and deploy sophisticated Generative AI applications. You will work within a dedicated engineering pod, partnering with technical leaders to translate architectural designs into robust, scalable, and secure software. This role requires hands-on development experience and a strong interest in solving complex technical problems using modern AI capabilities.

In this role, you will:

• Lead moderately complex initiatives and deliverables within technical engineering environments.
• Contribute to large-scale planning of strategies across Consumer Technology.
• Design, code, test, debug, and document applications and services, including upgrades and deployments.
• Review technical challenges that require in-depth evaluation of technologies, procedures, and engineering approaches.
• Resolve moderately complex issues while guiding teams to meet existing and emerging business needs.
• Collaborate with peers, colleagues, and mid-level managers to resolve technical challenges and meet project goals.
• Lead projects and act as an escalation point, providing direction to less experienced engineers.
• Design, develop, and deploy AI applications using enterprise APIs, LLMs, agent frameworks, and related technologies.
• Implement prompt engineering, retrieval-augmented generation, fine-tuning, and agentic design patterns.
• Integrate LLM models with existing enterprise systems and ensure that AI solutions meet governance, security, and compliance standards.
• Troubleshoot complex application and model-related issues and contribute to the continuous improvement of AI systems.
• Assist and mentor engineers in advanced software development and AI engineering practices.
• Stay informed of advancements in AI, LLMs, and agent frameworks and apply relevant updates to products and systems.

Required Qualifications:

• 4+ years of software engineering experience or equivalent through a combination of work experience, training, military service, or education.
• 2+ years of experience working with Generative AI, large language models, or foundation models.
• 2+ years of experience with either GCP, Azure, Kubernetes, or OpenShift.
• 2+ years of experience with Python.
• 2+ years of experience with REST API development and containerization technologies such as Docker and Kubernetes.
• 2+ years of experience using Git for source code version control, including branching, pull requests, and collaborative development workflows.

Desired Qualifications:

• Understanding of cloud security principles including identity and access management, encryption, and network security in public or hybrid cloud environments.
• Experience working in highly regulated industries such as financial services.
• Experience as a technical lead or architect, including mentoring senior engineers.
• Experience integrating or contributing to open-source AI or ML projects.
• Experience integrating applications with enterprise data platforms, APIs, and secure data pipelines.
• Strong communication and documentation skills to collaborate across engineering, product, and oversight teams.

Preferred Skills and Experience:

• Experience with LLM development using OpenAI, Anthropic, or Google Gemini models.
• Experience with agentic frameworks and AI workflow orchestration.
• Experience designing applications that incorporate retrieval-augmented generation, fine-tuning, and structured prompting.
• Experience with vector databases and retrieval systems such as Elasticsearch, OpenSearch, Pinecone, or Weaviate.
• Experience with LLM evaluation, observability, and monitoring, including latency, cost, accuracy, grounding, drift detection, and safety assessments.
• Familiarity with ML lifecycle tools and processes such as feature stores, model registries, and CI/CD pipelines for AI services.
• Familiarity with responsible AI principles, compliance, and governance processes related to AI systems in regulated environments.
• Experience optimizing AI application performance, including prompt efficiency, model selection, caching, batching, and cost management.

Your Responsibilities

what you will wake up to solve.

• Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
• Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
• Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
• Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
• Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
• Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
• The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
• Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.

Functional Skills

Scaling Intelligent Workforce through Delivery Excellence

• Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
• Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
• Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
• Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
• Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.

Technical Oversight & Execution Charter

• Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
• Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
• End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
• Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.

Tech Superpowers

• Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
• Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
• Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
• Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.

Experience & Relevance

• A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
• Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
• Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
• Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
• Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.

Bonus Points (you will thrive if you have)

• Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
• Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
• AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
• Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
• Ethical Compass: Strong commitment to responsible AI practices.
• Engineer at Heart: Background in product development or engineering before moving into architecture.

Job Opening: Life Insurance Sales Manager

📍 Location: Telangana & Andhra Pradesh

💰 Salary: ₹20,000 – ₹30,000 + 10% incentives

Requirements:

* Bachelor’s degree

* 2–3 years’ experience in Life Insurance Sales / Channel Partner Management

* Strong knowledge of insurance products & regulations

Responsibilities:

* Recruit, train & manage 5–10 advisors per month

* Drive sales through channel partners & meet targets

* Ensure compliance & advisor performance

This is a full-time on-site role for a Marketing Strategist at PRODBIZ SOLUTIONS PVT LTD located in Hyderabad. The Marketing Strategist will be responsible for market research, developing marketing strategies, conducting research, and communication tasks on a day-to-day basis.

Marketing Operations is a critical team under the Marketing Communication BPO Operations umbrella that prioritizes the lead lifecycle, manages day-to-day marketing initiatives, and the organization’s MarTech stack.

A Marketing and Communication Support company providing customer care & support, technical support services, and back-end support to accounts engaged in interactive online sports gaming activities. In this role, you can expect to:

● Work in a Business Process Outsourcing (BPO) Module providing marketing solutions to different local and international clients and Business Development Units.

● Data Analysis: Analyze player data to identify trends, improve the casino player’s experience, and make data-driven decisions for the casino's operations.

● Marketing and Promotions: Collaborate with the marketing team to plan and execute promotional campaigns to attract and retain players.

● Security: Maintain a secure online environment, including protecting player data and preventing cyberattacks.

● Reporting: Generate regular reports on key performance indicators, financial metrics, and operational data to assess the casino's performance.

● maintaining gaming website content

● assist with the daily forum and other social media activities

● analyze marketing data, metrics, and KPIs to measure campaign performance and provide insights for decision-making.

● Conducting market research to understand customer needs, trends, and competitive landscape to inform marketing strategies.

● Proposing, developing, and executing promotional ideas or strategies to optimize revenue streams in each channel

● Support ad-hoc Marketing Operations projects

The specific responsibilities and requirements for a Marketing Data Analyst in an online casino may vary depending on the size and nature of the casino, as well as local regulations and industry standards.

Salary Php90, 000 - Php120, 000

Work Experience Requirements

● 3+ year experience working in operations, analytics, or a similar role preferred

● “Can-do” attitude and approach

● Willing to learn new skills and use feedback for continual improvement

● Self-starter and team player

● Strong written and verbal communication skills

● Exposure to marketing and/or and games entertainment a plus

● SQL and database experience helpful but not required Excellent troubleshooting, problem-solving, and optimization mindset

● Must be willing to report onsite in Cambodia

• Bachelor’s degree in computer science or software engineering.
• Previous work experience with application and software development.
• Experience developing customer-facing interfaces.
• Advanced knowledge of Salesforce CRM platforms.
• Proficient in MYSQL, Apex, JavaScript, Native, and VisualForce.
• Working knowledge of mavensMate or eclipse.
• Good communication skills.
• Ability to problem solve high-level software and application issues.
• Ability to project manage.
• Meeting with project managers to determine CRM needs.
• Developing customized solutions within the Salesforce platform.
• Designing, coding, and implementing Salesforce applications.
• Creating timelines and development goals.
• Testing the stability and functionality of the application.
• Troubleshooting and fixing bugs.
• Writing documents and providing technical training for Salesforce staff.
• Maintaining the security and integrity of the application software.

HBOX is a US Based Digital Health Company, Enabling Primary Care Providers (PCP) to

capture true Virtual Care Opportunities beyond Telehealth. We enable PCP to

provide Proactive and Continuous Care and add new Recurring monthly revenue

streams without any upfront cost. With our unique distribution and business

model, we are seeing fast acceptance and great adaption with our target

customers. We have built unique and Industry's first Integrated

Hardware, Cloud & AI Technologies based Virtual care Platform for PCP

Market. We are US focused Post revenue company with customers in 7 US States

and growing extremely fast.

We want a techie at heart. Someone who is happy and curious to work on all aspects of software development. Reporting directly to the CTO, you will be responsible for feature design, development, and continuously optimizing our tech stack.

We are looking for an experienced software engineer with at least 5 years of experience in a startup or product environment. Ideally you have been involved in all aspects of software development from requirements gathering to design, development, deployment and post-release support. We are looking for all-round technical maturity. Our tech stack is Angular, Spring boot and Django/Python.

Key Skills

Java SpringBoot, PostgreSQL/MySQL, Git

AWS, REST api design, Experience integrating with external APIs

Good applied understanding of Object Oriented Programming

Good database modeling and SQL knowledge.

Anticipate how code will perform under production conditions

Understand the performance characteristics of commonly used data structures (maps, lists etc). (Optional) Experience with UI frameworks like: AngularJS/React is a big plus.

Responsibilities and Duties

Build out features across the stack: backend, API design and integration, database optimization, microservices, plugins, queues etc

Fix bugs and write automated tests

Maintain and upgrade our Tech Stack

Translate requirements to design and write/present articulate software design.

• Previous experience working as a React.js Developer.
• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model Thorough understanding of React.js and its core principles
• Familiarity with RESTful APIs
• Knowledge of performance testing frameworks including Mocha and Jest.
• Familiarity with code versioning tools (such as Git )
• Experience with browser-based debugging and performance testing software.
• Excellent troubleshooting skills.
• Good project management skills.