customer support executive

Job Title: Generative AI Engineer

 Company: EaseMyTrip.com

 Location: On site - Gurgaon (Sec - 32)

 Experience: 5+ Years

About the Role

EaseMyTrip.com is looking for a talented Generative AI Engineer to help build the future of travel technology. You will work at the intersection of AI, backend systems, and frontend interfaces, crafting intelligent solutions using LLMs, scalable Python APIs, and interactive UIs with React JS.

Join us to create conversational travel assistants, automate customer experiences, and deliver cutting-edge features powered by GPT-4, LangChain, and more.

 Key Responsibilities

 Build and integrate Large Language Models (LLMs) like GPT-4, Claude, or Mistral into real-world travel solutions.

 Design prompt engineering pipelines and implement RAG (Retrieval-Augmented Generation) workflows.

 Develop and maintain secure, scalable backend services using FastAPI or Django.

 Create dynamic frontend interfaces and dashboards using React JS

 Deploy AI models and services on AWS, GCP, or Azure with containerization and CI/CD.

 Implement NLP features such as entity recognition, summarization, and sentiment analysis.

 Work with relational and NoSQL databases like PostgreSQL or MongoDB.

 Collaborate with cross-functional teams including design, product, and data.

 Requirements

 5+ years of backend development experience, with at least 2 years working with LLMs/NLP

Strong Python programming skills

Hands-on experience with React JS for front-end development

 Experience building APIs using FastAPI or Django

 Familiarity with LangChain, Hugging Face, and OpenAI APIs

 Knowledge of cloud platforms and serverless architecture

 Problem-solving mindset and a deep passion for AI innovation.

Certa (getcerta.com) is a Silicon Valley-based startup automating the vendor, supplier, and stakeholder onboarding processes for businesses globally. Serving Fortune 500 and Fortune 1000 clients, Certa's engineering team tackles expansive and deeply technical challenges, driving innovation in business processes across industries.

Location: Remote (India only)

Role Overview

We are looking for an experienced and innovative AI Engineer to join our team and push the boundaries of large language model (LLM) technology to drive significant impact in our products and services . In this role, you will leverage your strong software engineering skills (particularly in Python and cloud-based backend systems) and your hands-on experience with cutting-edge AI (LLMs, prompt engineering, Retrieval-Augmented Generation, etc.) to build intelligent features for enterprise (B2B SaaS). As an AI Engineer on our team, you will design and deploy AI-driven solutions (such as LLM-powered agents and context-aware systems) from prototype to production, iterating quickly and staying up-to-date with the latest developments in the AI space . This is a unique opportunity to be at the forefront of a new class of engineering roles that blend robust backend system design with state-of-the-art AI integration, shaping the future of user experiences in our domain.

Key Responsibilities

• Design and Develop AI Features: Lead the design, development, and deployment of generative AI capabilities and LLM-powered services that deliver engaging, human-centric user experiences . This includes building features like intelligent chatbots, AI-driven recommendations, and workflow automation into our products.
• RAG Pipeline Implementation: Design, implement, and continuously optimize end-to-end RAG (Retrieval-Augmented Generation) pipelines, including data ingestion and parsing, document chunking, vector indexing, and prompt engineering strategies to provide relevant context to LLMs . Ensure that our AI systems can efficiently retrieve and use information from knowledge bases to enhance answer accuracy.
• Build LLM-Based Agents: Develop and refine LLM-based agentic systems that can autonomously perform complex tasks or assist users in multi-step workflows. Incorporate tools for planning, memory, and context management (e.g. long-term memory stores, tool use via APIs) to extend the capabilities of our AI agents . Experiment with emerging best practices in agent design (planning algorithms, self-healing loops, etc.) to make these agents more reliable and effective.
• Integrate with Product Teams: Work closely with product managers, designers, and other engineers to integrate AI capabilities seamlessly into our products, ensuring that features align with user needs and business goals . You’ll collaborate cross-functionally to translate product requirements into AI solutions, and iterate based on feedback and testing.
• System Evaluation & Iteration: Rigorously evaluate the performance of AI models and pipelines using appropriate metrics – including accuracy/correctness, response latency, and avoidance of errors like hallucinations . Conduct thorough testing and use user feedback to drive continuous improvements in model prompts, parameters, and data processing.
• Code Quality & Best Practices: Write clean, maintainable, and testable code while following software engineering best practices . Ensure that the AI components are well-structured, scalable, and fit into our overall system architecture. Implement monitoring and logging for AI services to track performance and reliability in production.
• Mentorship and Knowledge Sharing: Provide technical guidance and mentorship to team members on best practices in generative AI development . Help educate and upskill colleagues (e.g. through code reviews, tech talks) in areas like prompt engineering, using our AI toolchain, and evaluating model outputs. Foster a culture of continuous learning and experimentation with new AI technologies.
• Research & Innovation: Continuously explore the latest advancements in AI/ML (new model releases, libraries, techniques) and assess their potential value for our products . You will have the freedom to prototype innovative solutions – for example, trying new fine-tuning methods or integrating new APIs – and bring those into our platform if they prove beneficial. Staying current with emerging research and industry trends is a key part of this role .

Required Skills and Qualifications

• Software Engineering Experience: 3+ years (Mid-level) / 5+ years (Senior) of professional software engineering experience. Rock-solid backend development skills with expertise in Python and designing scalable APIs/services. Experience building and deploying systems on AWS or similar cloud platforms is required (including familiarity with cloud infrastructure and distributed computing) . Strong system design abilities with a track record of designing robust, maintainable architectures is a must.
• LLM/AI Application Experience: Proven experience building applications that leverage large language models or generative AI. You have spent time prompting and integrating language models into real products (e.g. building chatbots, semantic search, AI assistants) and understand their behavior and failure modes . Demonstrable projects or work in LLM-powered application development – especially using techniques like RAG or building LLM-driven agents – will make you stand out .
• AI/ML Knowledge: Prioritize applied LLM product engineering over traditional ML pipelines. Strong chops in prompt design, function calling/structured outputs, tool use, context-window management, and the RAG levers that matter (document parsing/chunking, metadata, re-ranking, embedding/model selection). Make pragmatic model/provider choices (hosted vs. open) using latency, cost, context length, safety, and rate-limit trade-offs; know when simple prompting/config changes beat fine-tuning, and when lightweight adapters or fine-tuning are justified. Design evaluation that mirrors product outcomes: golden sets, automated prompt unit tests, offline checks, and online A/Bs for helpfulness/correctness/safety; track production proxies like retrieval recall and hallucination rate. Solid understanding of embeddings, tokenization, and vector search fundamentals, plus working literacy in transformers to reason about capabilities/limits. Familiarity with agent patterns (planning, tool orchestration, memory) and guardrail/safety techniques.
• Tooling & Frameworks: Hands-on experience with the AI/LLM tech stack and libraries. This includes proficiency with LLM orchestration libraries such as LangChain, LlamaIndex, etc., for building prompt pipelines . Experience working with vector databases or semantic search (e.g. Pinecone, Chroma, Milvus) to enable retrieval-augmented generation is highly desired.
• Cloud & DevOps: Own the productionization of LLM/RAG-backed services as high-availability, low-latency backends. Expertise in AWS (e.g., ECS/EKS/Lambda, API Gateway/ALB, S3, DynamoDB/Postgres, OpenSearch, SQS/SNS/Step Functions, Secrets Manager/KMS, VPC) and infrastructure-as-code (Terraform/CDK). You’re comfortable shipping stateless APIs, event-driven pipelines, and retrieval infrastructure (vector stores, caches) with strong observability (p95/p99 latency, distributed tracing, retries/circuit breakers), security (PII handling, encryption, least-privilege IAM, private networking to model endpoints), and progressive delivery (blue/green, canary, feature flags). Build prompt/config rollout workflows, manage token/cost budgets, apply caching/batching/streaming strategies, and implement graceful fallbacks across multiple model providers.
• Product and Domain Experience: Experience building enterprise (B2B SaaS) products is a strong plus . This means you understand considerations like user experience, scalability, security, and compliance. Past exposure to these types of products will help you design AI solutions that cater to a range of end-users.
• Strong Communication & Collaboration: Excellent interpersonal and communication skills, with an ability to explain complex AI concepts to non-technical stakeholders and create clarity from ambiguity . You work effectively in cross-functional teams and can coordinate with product, design, and ops teams to drive projects forward.
• Problem-Solving & Autonomy: Self-motivated and able to manage multiple priorities in a fast-paced environment . You have a demonstrated ability to troubleshoot complex systems, debug issues across the stack, and quickly prototype solutions. A “figure it out” attitude and creative approach to overcoming technical challenges are key.

Preferred (Bonus) Qualifications

• Multi-Modal and Agents: Experience developing complex agentic systems using LLMs (for example, multi-agent systems or integrating LLMs with tool networks) is a bonus . Similarly, knowledge of multi-modal AI (combining text with vision or other data) could be useful as we expand our product capabilities.
• Startup/Agile Environment: Prior experience in an early-stage startup or similarly fast-paced environment where you’ve worn multiple hats and adapted to rapid changes . This role will involve quick iteration and evolving requirements, so comfort with ambiguity and agility is valued.
• Community/Research Involvement: Active participation in the AI community (open-source contributions, research publications, or blogging about AI advancements) is appreciated. It demonstrates passion and keeps you at the cutting edge. If you have published research or have a portfolio of AI side projects, let us know !

Perks of working at Certa.ai:

• Best-in-class compensation
• Fully-remote work with flexible schedules
• Continuous learning
• Massive opportunities for growth
• Yearly offsite
• Quarterly hacker house
• Comprehensive health coverage
• Parental Leave
• Latest Tech Workstation
• Rockstar team to work with (we mean it!)

The Role:

As an ML Engineer at TIFIN, you will be responsible for driving research and innovation in a result-oriented direction. Your role will involve staying updated on the latest research trends and exploring advancements in Natural Language Understanding (NLU) and their applications in conversational AI. You will also play a mentoring role and contribute to improving NLU capabilities using transfer learning from historical conversational data.

Requirements:

• Experience with training and fine-tuning machine learning models on large text datasets.
• Strong computer science fundamentals and at least 3 years of software development experience.
• Track record of thinking big and finding simple solutions while dealing with ambiguity.
• Proven experience as a Natural Language Processing Engineer or in similar roles.
• Good understanding of NLP tricks and techniques for semantic extraction, data structure, and modeling.
• Familiarity with text representation techniques, algorithms, and statistics.
• Knowledge of programming languages such as R, Python, and Java.
• Proficiency in Machine Learning frameworks like TensorFlow, PyTorch, etc.
• Ability to design software architectures and solve complex problems.
• Strong analytical and problem-solving skills.
• Experience in projects related to information retrieval, machine comprehension, entity recognition, text classification, semantic frame parsing, or machine translation is a plus.
• Publications, patents, or conference talks in relevant fields are a bonus.

.BUSINESS DEVELOPMENT EXCUTIVE

ROLES

We're seeking a qualified sales associate to sell annual car and bike Scotty subscription products that our customers have grown to rely on. The sales associate will utilize their skills to generate high-quality leads, build strong relationships with customers, and close deals. The ideal candidate has skills and demonstrates the ability to showcase our offerings compellingly. 

Job Location: Work from home

Selection process: HR Round followed by group discussion and sales manager round.

Qualification: Any Graduate/Post Graduate

Salary offered: As per industry standards

Working days: 6 days          Sunday is off

Shifts:10:00am -7:00pm

Mandatory language: English 

Laptop/wi-fi: candidates are to use their own laptops,

Additional Compensation: If applicable, this will be decided on the basis of your designation.

Key responsibilities:

1. Creating an inspiring team environment with an open communication culture

2. Setting clear team goals

3. Oversee day-to-day operation

4. Monitor team performance and report

5. Motivate team members

6. Generate sales through customer referrals

7. Review the sales team performance and explore sales improvement initiatives to achieve the sales targets for the project

8. Conduct sales review meetings with the sales team on a periodic basis

9. To recruit good quality prospective sales candidate and ensure that they are completing probation in order to achieve the sales target set by the company

Responsibilities:

As a Business Development Manager working under the FMCG segment must perform the following responsibilities

. Create exclusive distributors, exclusive super stockiest and business associates for the company and guide, and coordinate them to achieve the target towards the entire business growth.

. Observe all the stock reports, product orders, re-order etc.

.Finding and developing new markets and improving sales.

Requirements:

.Bachelor's degree and experience in business, marketing or related field.

.Strong communication skills.

. Basic knowledge of Word, excel, and PowerPoint.

.Minimum age should be 27.

Responsibilities:

• Work on a day-to-day basis to deliver software to solve real world problems.
• Participate in the design of new features.
• Work with Product Managers to come up with technical solutions.
• Improvise and analyse current code base to come up with improvements.

Requirements:

• 3+ Years of Frontend Development Experience.
• 2+ years of hands-on ReactJS experience.
• Strong skills in object-oriented design, data structures, algorithm design and complexity analysis.
• Strong organisational and problem solving skills with great attention to detail.
• Experience working in fast paced environments cutting across diverse tech-stacks.
• Passionate about Web Development.
• Experience in modern web app development.

• Experience mentoring junior developers.
• Worked with data intensive UI.
• Have worked with early stage startups.
• Have experience with GraphQL.

• Getting things done as per the requirement of the team
• Coordinating with different stakeholders and ensuring timely delivery of curriculum deliverables
• Organizing, modifying and updating existing workflows
• Setting up and fixing operational processes which are not functional
• Ensuring quality assurance is in place for all deliverables

Desired Candidate Profile

• Operational experience in any industries (Preferably start-ups)
• Strong Academic background (Mass communication/Lit/Mass media/Journalism)
• 1-2 years of experience
• Strong sense of ownership for work
• Innovative Mindset
• Flexibility, perseverance, empathy and being graceful under pressure are important attributes to have/ develop

Job type: Permanent with ACL Digital

Client: Concentrix

Required skills:

• MySQL, or Postgres
• Linux systems
• Agile Methodologies
• Good communication skills