Sales Executive

• Strong AI/ML OR Software Developer Profile
• Mandatory (Experience 1) - Must have 3+ YOE in Core Software Developement (SDLC)
• Mandatory (Experience 2) - Must have 2+ years of experience in AI/ML, preferably in conversational AI domain (spped to text, text to speech, speech emotional recognition) or agentic AI systems.
• Mandatory (Experience 3) - Must have hands-on experience in fine-tuning LLMs/SLM, model optimization (quantization, distillation) and RAG
• Mandatory (Experience 4) - Hands-on Programming experience in Python, TensorFlow, PyTorch and model APIs (Hugging Face, LangChain, OpenAI, etc

About the Role:

We are looking for an experienced and imaginative Generative AI Architect & Engineer to lead, design, and build cutting-edge solutions using Large Language Models (LLMs) such as OpenAI’s GPT-4/5, Google Gemini, Meta’s LLaMA, and Anthropic Claude. You will spearhead the development of a corporate-wide GenAI platform that harnesses proprietary enterprise knowledge and empowers sales, operations, and other departments with instant, contextual insights, guidance, and automation.

As the GenAI leader, you will be responsible for building scalable pipelines, integrating enterprise content repositories, fine-tuning or adapting foundational models, and creating secure and intuitive access patterns for business teams. You are passionate about creating highly usable solutions that solve real-world problems, and are fluent across architecture, implementation, and MLOps best practices.

Key Responsibilities:

• Architect and implement an end-to-end GenAI solution leveraging LLMs to serve as a contextual assistant across multiple business units.
• Develop pipelines to ingest, clean, and index enterprise knowledge (documents, wikis, CRM, chat transcripts, etc.) using RAG (Retrieval-Augmented Generation) patterns and vector databases.
• Lead fine-tuning, prompt engineering, and evaluation of LLMs, adapting open-source or commercial models to enterprise needs.
• Design a secure, scalable, API-first microservice platform, including middleware and access control, integrated into corporate systems.
• Work closely with sales, operations, and customer support teams to gather use cases and translate them into impactful GenAI features.
• Drive experimentation and benchmarking to evaluate various open and closed LLMs (OpenAI, Claude, Gemini, LLaMA, Mistral, etc.) for best performance and cost-efficiency.
• Collaborate with DevOps teams to enable MLOps workflows, CI/CD pipelines, versioning, and A/B testing for AI models.
• Contribute to technical documentation, best practices, and internal knowledge sharing.

Key Qualifications:

• 4–5+ years of hands-on experience in AI/ML product development or applied research.
• Demonstrated experience working with LLMs (OpenAI, LLaMA, Claude, Gemini, Mistral, etc.) and RAG pipelines, including vector search (FAISS, Weaviate, Pinecone, Chroma, etc.).
• Strong Python skills and experience with frameworks such as LangChain, LlamaIndex, Transformers, Ray, HuggingFace, or equivalent.
• Deep understanding of NLP, model fine-tuning, embeddings, tokenization, and content ingestion pipelines.
• Exposure to enterprise content systems (e.g., SharePoint, Confluence, Salesforce, internal wikis, etc.) and integrating with them securely.
• Solid foundation in software architecture, microservices, API design, and cloud deployments (Azure, AWS, or GCP).
• Experience with security, RBAC, and compliance practices in enterprise-grade solutions.
• Ability to lead projects independently and mentor junior engineers or data scientists.

How to Apply:

Submit your resume and a short technical project summary or portfolio (GitHub, Hugging Face, blog posts)

Our Tech stack:

· Java 11, Spring Boot, React.JS

· MySQL, Redis, Elastic Stack, MongoDB

· Docker, K8s

· GitHub, Jenkins

· Slack, Jira

What we're looking for:

· Minimum of 5 years of experience as a software developer.

· Excellent knowledge of Java.

· Demonstrated skills in web-based development, including REST API s and JS frameworks such as Vue JS/React.

· Experienced with cloud platforms (AWS / GCP).

· Experienced with SQL and NoSQL databases.

· Experienced with CI/CD environments.

· Familiar with container technologies (Docker, Kubernetes).

· Proficient in agile programming practices.

· Strong analytical mind with a good dose of creativity.

· Meticulous person who strives to constantly improve his/her/their competencies.

· Excellent communication skills.

Nice-to-haves:

· Familiarity with Web sockets.

· Has contributed to open source projects and can point us to his/her/their GitHub account.

Key Responsibilities:

Your primary job responsibility will include (and not limited to): 

• Driving inquiries and admissions for the online and blended learning programs offered
• Looking after entire sales lifecycle: starting from engaging with leads till the final conversion
• Counselling professionals via call, email or in person and suggesting the best course for prospective students
• Updating and maintaining MIS reports
• Coordinating with marketing team to fine tune marketing plans related to admissions

• Should have a good convincing skills.
• Graduation / MBA 
• Good written & spoken English and pitching skills
• Customer focus with good convincing ability and confident personality
• Proficient in Microsoft Office - especially Excel, Power point and Word

Role- Software Development Engineer-2

As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.

Top Skills

You write high quality, maintainable, and robust code, often in Java or C++ or C#

You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.

You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.

Roles & Responsibilities

You solve problems at their root, stepping back to understand the broader context.

You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.

You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.

You recognize and use design patterns to solve business problems.

You understand how operating systems work, perform and scale.

You continually align your work with Amazon’s business objectives and seek to deliver business value.

You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.

You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.

You communicate clearly with your team and with other groups and listen effectively.

Skills & Experience

Bachelors or Masters in Computer Science or relevant technical field.

Experience in software development and full product life-cycle.

Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.

Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.

Proficiency in SQL and data modeling.

• Consultant/freelancing role
• Design and build advanced high-quality applications in .Net,.Net Core, Azure or AWS. hands on programming on C#, Web API, NOSQL DB and Azure, AWS.
• Knowledge of software development life cycle.
• Able to handle and manage the projects independently.
• Should be hands on developer and write production level code flawlessly
• Will be involved in client interactions and gathering project requirements, suggest best solutions considering NFRs insights
• Someone with an ability to ensure the performance, quality, and responsiveness of applications.
• Ability to work within a rapidly evolving environment.
• Eager to learn and adapt to new technologies.
• Bring new ideas and technologies to the team that can improve our product or process.
• Help maintain code quality, unit test cases, documentation, etc