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About FrontM
At FrontM, we are on a mission to transform the lives of frontline workforces, particularly in the maritime industry. We believe in creating a more connected, empowered, and engaged workforce by building cutting-edge solutions that merge the power of technology with human-centric needs. Our vision is to develop the world’s leading digital toolbox platform for maritime operations —a platform that brings everything for frontline workforces from digital wallets, recruitment, onboarding, healthcare, and learning to welfare and human capital management under one seamless umbrella.
Role Summary
As a JavaScript Developer at FrontM, you will be at the forefront of developing our pioneering digital toolbox platform and the low-code developer framework that powers it. You will have the opportunity to work with the latest JavaScript frameworks, integrating advanced technologies such as Large Language Models (LLMs), AI, and the latest GPT models. You’ll also be part of our exciting roadmap to evolve our low-code platform into a no-code solution, making app development accessible to everyone. Your contributions will be pivotal in the creation and enhancement of the Maritime App Store, where innovation meets practicality, offering solutions that make a tangible difference in the lives of seafarers and other frontline workers.
Key Responsibilities
Application Development (≈60%)
- Build micro-apps using the frontm.ai framework
- Implement intent-based architectures, context and state management
- Develop responsive UIs, forms, collections, filters, and workflows
- Integrate AWS services (Lambda, S3, DynamoDB, Bedrock)
- Build conversational AI features and real-time capabilities (messaging, video, notifications)
Framework Development (≈25%)
- Enhance and extend the frontm.ai core framework
- Build reusable components, patterns, and accelerators
- Improve performance for low-bandwidth environments
- Contribute to documentation, examples, and design reviews
- Support migration towards TypeScript and future Rust components
AI-Assisted Development (≈15%)
- Use Claude Code for efficient development
- Write and refine prompts for code generation
- Review, validate, and harden AI-generated code
- Implement LLM integrations via AWS Bedrock / OpenAI
- Build AI assistants using the skills layer
Required Technical Skills
JavaScript / TypeScript
- 5+ years professional JavaScript experience
- Strong TypeScript, async patterns, modular design
- Clean code practices and modern tooling
Architecture & Cloud
- Microservices and event-driven systems
- Serverless AWS (Lambda, API Gateway, DynamoDB, S3)
- REST APIs, WebSockets, CI/CD
- Infrastructure as Code experience preferred
AI & LLMs
- Hands-on use of Claude Code or similar tools
- Prompt engineering and hallucination mitigation
- Conversational AI and NLP experience
Data
- MongoDB / MongoDB Atlas
- Caching, indexing, and multi-tenant data patterns
Desired skills
- Experience with low-bandwidth or offline-first systems
- Understanding of secure, distributed deployments
- Exposure to healthcare, logistics, or maritime systems
Experience & Education
- 5+ years software development
- 2+ years AWS serverless
- 1+ year AI-assisted development
- Degree in Computer Science or equivalent experience
Personal Attributes
- Strong problem-solving and critical thinking
- Comfortable reviewing AI-generated code
- Clear communicator and reliable team contributor
- Self-driven, detail-oriented, and adaptable
Why join FrontM?
Above-Market Compensation: We believe in rewarding talent, offering a salary package that reflects your skills and potential.
Long-Term Career Growth: As FrontM expands, so will your opportunities. We are committed to helping our team members develop their careers, offering mentorship, learning opportunities, and the chance to take on more responsibility.
Cutting-Edge Technology: Work with the latest in JavaScript frameworks, AI, LLMs, and GPT models, contributing to a platform that’s at the forefront of technological innovation.
Make a Real Impact: This is your chance to work on something that matters—to build solutions that directly improve the quality of life for thousands of people worldwide.
What You’ll Do:
- Build and ship responsive, high-performance web applications using React.
- Translate UI/UX designs into clean, maintainable code.
- Integrate frontend with backend services via REST/GraphQL APIs.
- Optimize applications for speed, scalability, and cross-browser compatibility.
- Write reusable, modular components and maintain design consistency.
- Collaborate with product managers, designers, and engineers to deliver features end-to-end.
- Identify performance bottlenecks and improve frontend architecture.
- Participate in code reviews and contribute to best practices.
What We’re Looking For:
- 4–6 years of experience in frontend development.
- Strong hands-on experience with React.js.
- Solid understanding of JavaScript (ES6+), HTML5, and CSS3.
- Familiarity with state management (Redux / Zustand / Context API).
- Experience working with REST APIs and asynchronous programming.
- Understanding of responsive design and cross-browser compatibility.
- Experience with build tools (Webpack, Vite, etc.).
- Familiarity with Git-based workflows.
- Good problem-solving and communication skills.
Good to Have:
- Experience with testing frameworks (Jest, React Testing Library).
- Exposure to performance optimization techniques.
- Basic understanding of backend technologies (Node.js / Python).
What You’ll Work On:
- Building intuitive and scalable user interfaces for our core product.
- Improving performance and user experience across the platform.
- Contributing to frontend architecture and design systems.
- Solving real-world problems at scale.
Why Join Us
- Work on impactful products used by real customers.
- Opportunity to own features end-to-end.
- Collaborative and fast-paced environment.
Senior Generative AI Engineer
Employment Type: Permanent with VDart Digital
Work Location: Marathalli, Bengaluru
Job Description
We are seeking a highly skilled Senior Generative AI Engineer with strong expertise in designing, developing, and deploying enterprise-scale AI solutions using Large Language Models (LLMs) and modern Generative AI frameworks. The ideal candidate should have hands-on production experience building scalable GenAI applications, AI agents, autonomous workflows, and Retrieval-Augmented Generation (RAG) systems in cloud-native environments.
This role requires deep technical expertise in LLM orchestration, AI application architecture, prompt engineering, vector databases, MLOps, and production deployment of AI systems. Candidates should have proven experience delivering real-world AI solutions in enterprise environments with strong exposure to cloud platforms and DevOps practices.
Key Responsibilities
- Design, build, and deploy enterprise-grade Generative AI applications using Large Language Models (LLMs).
- Develop intelligent AI agents and autonomous workflows using frameworks such as LangChain, CrewAI, LangGraph, AutoGen, or similar agentic AI frameworks.
- Implement and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search technologies.
- Work extensively on prompt engineering, tool calling, memory management, agent orchestration, and multi-agent systems.
- Integrate and manage LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar foundation models.
- Develop scalable AI services and APIs using Python and FastAPI.
- Build production-ready AI solutions with high availability, scalability, monitoring, and observability.
- Deploy and manage AI applications in cloud-native environments using Docker and Kubernetes.
- Collaborate with Data Science, ML Engineering, and DevOps teams to operationalize AI solutions.
- Implement CI/CD pipelines and automated deployment processes for AI workloads.
- Monitor model performance, latency, reliability, and operational efficiency in production environments.
- Ensure AI solutions follow enterprise security, governance, and responsible AI standards.
- Evaluate and adopt emerging Generative AI tools, frameworks, and models.
Required Skills
Generative AI & LLM Expertise
- Strong hands-on experience with Generative AI and Large Language Models (LLMs).
- Production-level experience building and deploying GenAI applications.
- Expertise in LangChain, CrewAI, LangGraph, AutoGen, or similar frameworks.
- Experience with AI agents, autonomous workflows, and multi-agent architectures.
- Strong understanding of prompt engineering, embeddings, model evaluation, and LLM orchestration.
- Experience integrating OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar models.
RAG & Vector Databases
- Strong experience implementing RAG pipelines and semantic retrieval systems.
- Experience with vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, or Milvus.
- Understanding of chunking strategies, embeddings, indexing, reranking, and retrieval optimization.
Python & AI Development
- Strong proficiency in Python.
- Experience with FastAPI for AI service and API development.
- Experience with AI/ML libraries and data processing tools such as Pandas and NumPy.
Cloud & Production Deployment
- Mandatory production experience on at least one cloud platform:
- Microsoft Azure
- Experience deploying scalable AI applications in enterprise production environments.
- Hands-on experience with Docker, Kubernetes, Jenkins, Terraform, and CI/CD pipelines.
- Strong understanding of MLOps, AI deployment lifecycle, monitoring, and observability.
Engineering & Operational Excellence
- Strong understanding of software engineering best practices.
- Experience with Git, version control, automated testing, and release management.
- Experience building secure, scalable, and high-performance AI solutions.
- Ability to troubleshoot production AI systems and optimize performance.
Preferred Skills
- Experience with AI observability and evaluation frameworks.
- Exposure to fine-tuning, PEFT, LoRA, or model optimization techniques.
- Experience with enterprise AI governance and responsible AI practices.
- Knowledge of distributed AI systems and scalable inference architectures.
- Familiarity with AI security and compliance standards.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 3–8 years of overall software engineering experience.
- Minimum 3+ years of hands-on experience in Generative AI and LLM-based application development,
- Proven track record of delivering enterprise-scale AI solutions in production environments.
- Strong communication and stakeholder management skills.
ROLE OVERVIEW
We are looking for a driven Performance Marketing & Engagement Associate to join our fast-growing Product & Growth team. This is a fantastic entry-level opportunity for someone passionate about user engagement, data-driven marketing, and creating measurable business impact. You will work on improving core growth KPIs — Activation, Engagement, Conversion, and Acquisition — through performance marketing channels and engagement platforms like WebEngage.
KEY RESPONSIBILITIES
▸ Plan, create, and execute campaigns and user journeys using engagement tools (WebEngage or similar).
▸ Support performance marketing initiatives to drive user acquisition and retention.
▸ Collaborate with product and growth teams to design strategies improving Activation, Engagement, Conversion & Acquisition metrics
.▸ Monitor campaign performance, analyze results, and share actionable insights with the team.
▸ Continuously test and optimize campaigns, creatives, and messaging to maximize ROI.
▸ Stay updated with the latest performance marketing and engagement trends and tools.
REQUIREMENTS
▸ 0–1 year of experience in performance marketing, CRM, or engagement platforms (internship experience counts).
▸ Basic understanding of digital marketing channels — paid ads, email, push notifications, in-app messaging, etc.
▸ Analytical mindset with the ability to read data, identify patterns, and suggest improvements.
▸ Strong communication and problem-solving skills with eagerness to learn in a fast-paced startup.
▸ Prior exposure to WebEngage, MoEngage, CleverTap, or similar tools is a plus (not mandatory).
USE OF AI POLICY
▸ Use AI tools (ChatGPT, Claude, etc.) to accelerate daily work — from drafting copy and campaign briefs to generating creative variants quickly. Apply AI in campaign planning for audience insights, journey design, and A/B test ideas. Use it further for report summaries, UTM generation, and automating repetitive tasks — enabling more focus on strategy and optimization.
WHY JOIN US?
▸ Work on real growth problems and directly impact core business KPIs and millions of users.
▸ Learn end-to-end performance marketing and engagement strategies from the ground up.
▸ Be part of a high-energy, mission-driven team with strong career growth potential.
▸ Get hands-on exposure to cutting-edge marketing and engagement tools
Role: SAP Basis Administrator
Location: Any USI (Bangalore, Hyderabad, Chennai, Kolkatta, Mumbai, Pune, Gurugram)
Budget: 25 LPA
Exp: 10+ yrs
Notice Period: Immediate to 15 days
Technical Skills:
· SAP System Expertise:
· Installation, Configuration, and Upgrades: Proficiency in installing, configuring, and upgrading SAP systems and components (e.g., ECC, HANA, BOBJ).
· Troubleshooting: Strong analytical and problem-solving skills to diagnose and resolve issues within the SAP environment.
· Performance Tuning: Knowledge of techniques to optimize SAP system performance, ensuring efficient operation.
· SAP Security: Expertise in managing SAP security, including user administration, role management, and authorization management.
· Transport Management: Understanding and proficiency in using the SAP Transport Management System (TMS) to manage software changes across the SAP landscape.
· Operating Systems and Database Administration:
· Proficiency in Operating Systems: Familiarity with operating systems like Windows, Linux, and Unix, which are commonly used in SAP environments.
· Database Administration: Knowledge of database technologies used with SAP, such as SAP HANA or other relational databases.
· Monitoring Tools:
· SAP Solution Manager: Mastery of SAP Solution Manager and other monitoring tools to proactively detect potential issues.
· Scripting and Automation: Ability to use scripting languages (e.g., Bash, PowerShell, Python) to automate tasks and improve efficiency.
· Other Technical Skills:
· Data Migration: Understanding data migration processes and tools to ensure data integrity during upgrades or system refreshes.
· Java: Knowledge of Java for managing Java-based SAP applications and components.
· ABAP: Basic understanding of ABAP programming language for interacting with SAP systems.
· SQL: Knowledge of SQL for database queries and administration.
If interested, please share your resume along with the following details
1) Notice Period
2) Current CTC
3) Expected CTC
4) Years of exp in Oracle Cloud Planning
5) Any offers in hand
Thanks & Regards,
LION & ELEPHANTS CONSULTANCY PVT LTD
SINGAPORE | INDIA
● Determines customers' needs and desires by specifying the research needed to obtain market information.
● Recommends the nature and scope of present and future product lines by reviewing product specifications and requirements; appraising new product ideas and/or product or packaging changes.
● Assesses market competition by comparing the company's product to competitors' products.
● Provides source data for product line communications by defining product marketing communication objectives.
● Obtains product market share by working with the sales director to develop product sales strategies.
● Assesses product market data by calling on customers with field salespeople and evaluating sales call results.
● Provides information for management by preparing short-term and long-term product sales forecasts and special reports and analyses; answering questions and requests.
● Facilitates inventory turnover and product availability by reviewing and adjusting inventory levels and production schedules.
● Brings new products to market by analyzing proposed product requirements and product development programs; preparing return-on-investment analyses; establishing time schedules with engineering and manufacturing.
● Introduces and markets new products by developing time-integrated plans with sales, advertising, and production.
● Determines product pricing by utilizing market research data; reviewing production and sales costs; anticipating volume; costing special and customized orders.
● Completes operational requirements by scheduling and assigning employees; following up on work results.
● Maintains product management staff by recruiting, selecting, orienting, and training employees.
● Maintains product management staff job results by counseling and disciplining employees;
planning, monitoring, and appraising job results.
● Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies.
● Contributes to team effort by accomplishing related results as needed.
Qualifications
● 3-8 years of overall experience depending on how fast you have grown in your career. We would be looking for evidence that your experiences are commensurate with the kind required from the person in this role.
● 2 years of prior product management experience preferably in an internet-based company which preferably is a best-in-class large company or a respected disruptor startup.
● A bachelor's degree or master's degree in a numerically inclined discipline such as Engineering, Economics, Commerce, Mathematics preferably from a premium institute.
● MBA degree from a premier institute and prior startup experience is preferred but not necessary
- Involvement in the overall application lifecycle
- Design and develop software applications in Scala and Spark
- Understand business requirements and convert them to technical solutions
- Rest API design, implementation, and integration
- Collaborate with Frontend developers and provide mentorship for Junior engineers in the team
- An interest and preferably working experience in agile development methodologies
- A team player, eager to invest in personal and team growth
- Staying up to date with cutting edge technologies and best practices
- Advocate for improvements to product quality, security, and performance
Desired Skills and Experience
- Minimum 1.5+ years of development experience in Scala / Java language
- Strong understanding of the development cycle, programming techniques, and tools.
- Strong problem solving and verbal and written communication skills.
- Experience in working with web development using J2EE or similar frameworks
- Experience in developing REST API’s
- BE in Computer Science
- Experience with Akka or Micro services is a plus
- Experience with Big data technologies like Spark/Hadoop is a plus company offers very competitive compensation packages commensurate with your experience. We offer full benefits, continual career & compensation growth, and many other perks.
About the company:
Saara is a fast-growing, Techstars backed E-commerce returns reduction and automation startup. We use AI/ML to not only help e-tailers be successful but also save the environment by reducing returns.
Overview:
We are currently looking to hire sharp Software developers who are passionate & excited to learn. This position is part of our engineering team.
Responsibilities
- As a Software developer, you will design and implement multi-tier (DB, services, and web) software applications, and document, test, fix and enhance systems when needed.
- In your agile team, you will closely work with other engineers, your manager and create solutions that meet business requirements.
- You will spend most of your time developing clean code with limited abstraction. You will constantly work to learn new technologies and improve your skillsets.
Requirements :
- 3-6 years of experience preferably in the e-commerce solution domain
- Good Knowledge of Python, Node.js, MySQL/Mongo, Javascript, HTML5, CSS3.
- Expertise in at least one JavaScript framework such as Vuejs, Angularjs or reactjs, etc.
- Must have experience in Django/Flask framework along with Microservices
- Must have good experience in writing SQL queries and optimization.
- Working knowledge of code repositories like Gitlab/Bitbucket.
- Should have the ability to use well-known design patterns to plan implementations or refactor existing solutions.
- Must have a good understanding of RESTful best practices
- A plus if you have worked with diverse data sources especially the NoSQL database.
- Knowledge of Azure/Aws is a must for server deployments.
- Knowledge of ML is added advantage.
- Good colleges preferred.
- Startup experience preferred
- 5-7 years of relevant product design, development and testing experience
- Strong technical skills in java springboot/MVC frameworks, reactjS. API development, Cloud native solutions like lambda, azure functions is good to have.
- Database – primarily Mongo DB, Knowledge of postgres /MySQL is good to have
- DevOps - Knowledge of DevOps will be good to have
- API - Preferred experience with one of API gateway platform (Apigee, Mulesoft, Kong, WSO2)
- Good communication skills, with an ability to express and understand complex technical concepts.
- Strong analytical, problem-solving, and conceptual skills.
- Ability to work under pressure and meet tight deadlines.
- Experience of working with globally distributed teams.
- Innovative and Self learner for mentoring and problem resolutions.
- Ability to mentor and manage product teams
- Work effectively as a team member, share responsibility, provide support, maintain communication and update senior team members on progress of tasks
- Conduct research and assist senior team members in preparing client presentations and information memorandums
- Continuously strive towards exceeding client & team expectations and work on increasingly complex assignments
- Develop and maintain productive working relationships with client/onsite personnel
- Understand and analyse the requirements of the project
- Prepare project documentation and procedures
- Ensuring adherence to software development life cycle while working on projects
- Assist in development / testing of SAP GRC / security solutions
- Ensure on-time delivery of allocated tasks
- Ensuring adherence to quality protocols specified for the project
- Get cross-trained on other technologies / solutions as needed
- Inculcate positive learning attitude and the zeal to upskill as well as cross-skill
- Foster teamwork and quality culture
- Understand and follow workplace policies and procedures
- Participating in the organization-wide people initiatives
- Maintain an educational program to continuously upskill
- Requirements (including experience, skills and additional qualifications)
- Knowledge and Skills Requirements (mandatory):
- Good written and verbal communication skills is a must
- Should have experience in at least 1-2 end to end implementation projects
- Rich experience in configuring and testing SAP security architecture for multiple applications like ECC, BW, SRM, Portal, S4HANA, Fiori, BPC and Success Factors
- Should have worked on configuring S4HANA and Fiori security with good understanding of App types, catalogues, groups, OData services
- Experienced in hands on configuration for setting up task profiles, data access profiles and BW authorizations
- Experience on troubleshooting access issues related to transactions, apps, queries/reports and BPC tools like analysis for office etc.
- Should have worked on success factors role-based permission framework with good understanding of permission groups and permission roles
- Understanding of SAP security processes, architecture and administration
- Hands on experience in configuration of SAP GRC access controls (access request management, business role management, emergency access management, access risk analysis, user access review and SoD review)
- Should have worked on the pre-installation and post installation steps, syncs, connectors, rule building and MSMP workflows
- Should have worked on ARA component with an understanding of the ruleset and mitigation controls
- Strong understanding of the basic SAP landscape, transports system and version compatibility concepts
- Understanding of business processes, controls frameworks, compliances and regulations, and segregation of duty concepts in an SAP ERP environment





