Business Development Intern

Job Details

- Job Title: Lead II - Software Engineering- AI, NLP, Python, Data science

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 7-9 years

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Job Description:

Role Proficiency:

Act creatively to develop applications by selecting appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions. Account for others' developmental activities; assisting Project Manager in day-to-day project execution.

Additional Comments:

Mandatory Skills Data Science Skill to Evaluate AI, Gen AI, RAG, Data Science

Experience 8 to 10 Years

Location Bengaluru

Job Description

Job Title AI Engineer Mandatory Skills Artificial Intelligence, Natural Language Processing, python, data science Position AI Engineer – LLM & RAG Specialization Company Name: Sony India Software Centre About the role: We are seeking a highly skilled AI Engineer with 8-10 years of experience to join our innovation-driven team. This role focuses on the design, development, and deployment of advanced enterprise-scale Large Language Models (eLLM) and Retrieval Augmented Generation (RAG) solutions. You will work on end-to-end AI pipelines, from data processing to cloud deployment, delivering impactful solutions that enhance Sony’s products and services. Key Responsibilities: Design, implement, and optimize LLM-powered applications, ensuring high performance and scalability for enterprise use cases. Develop and maintain RAG pipelines, including vector database integration (e.g., Pinecone, Weaviate, FAISS) and embedding model optimization. Deploy, monitor, and maintain AI/ML models in production, ensuring reliability, security, and compliance. Collaborate with product, research, and engineering teams to integrate AI solutions into existing applications and workflows. Research and evaluate the latest LLM and AI advancements, recommending tools and architectures for continuous improvement. Preprocess, clean, and engineer features from large datasets to improve model accuracy and efficiency. Conduct code reviews and enforce AI/ML engineering best practices. Document architecture, pipelines, and results; present findings to both technical and business stakeholders. Job Description: 8-10 years of professional experience in AI/ML engineering, with at least 4+ years in LLM development and deployment. Proven expertise in RAG architectures, vector databases, and embedding models. Strong proficiency in Python; familiarity with Java, R, or other relevant languages is a plus. Experience with AI/ML frameworks (PyTorch, TensorFlow, etc.) and relevant deployment tools. Hands-on experience with cloud-based AI platforms such as AWS SageMaker, AWS Q Business, AWS Bedrock or Azure Machine Learning. Experience in designing, developing, and deploying Agentic AI systems, with a focus on creating autonomous agents that can reason, plan, and execute tasks to achieve specific goals. Understanding of security concepts in AI systems, including vulnerabilities and mitigation strategies. Solid knowledge of data processing, feature engineering, and working with large-scale datasets. Experience in designing and implementing AI-native applications and agentic workflows using the Model Context Protocol (MCP) is nice to have. Strong problem-solving skills, analytical thinking, and attention to detail. Excellent communication skills with the ability to explain complex AI concepts to diverse audiences. Day-to-day responsibilities: Design and deploy AI-driven solutions to address specific security challenges, such as threat detection, vulnerability prioritization, and security automation. Optimize LLM-based models for various security use cases, including chatbot development for security awareness or automated incident response. Implement and manage RAG pipelines for enhanced LLM performance. Integrate AI models with existing security tools, including Endpoint Detection and Response (EDR), Threat and Vulnerability Management (TVM) platforms, and Data Science/Analytics platforms. This will involve working with APIs and understanding data flows. Develop and implement metrics to evaluate the performance of AI models. Monitor deployed models for accuracy and performance and retrain as needed. Adhere to security best practices and ensure that all AI solutions are developed and deployed securely. Consider data privacy and compliance requirements. Work closely with other team members to understand security requirements and translate them into AI-driven solutions. Communicate effectively with stakeholders, including senior management, to present project updates and findings. Stay up to date with the latest advancements in AI/ML and security and identify opportunities to leverage new technologies to improve our security posture. Maintain thorough documentation of AI models, code, and processes. What We Offer Opportunity to work on cutting-edge LLM and RAG projects with global impact. A collaborative environment fostering innovation, research, and skill growth. Competitive salary, comprehensive benefits, and flexible work arrangements. The chance to shape AI-powered features in Sony’s next-generation products. Be able to function in an environment where the team is virtual and geographically dispersed

Education Qualification: Graduate

Skills: AI, NLP, Python, Data science

Must-Haves

Skills

AI, NLP, Python, Data science

NP: Immediate – 30 Days

Frontend Developer: Angular (3-4 Years)

Positions: 1

Essential Skills:

1. 3-4 years of experience in Angular.

2. Hands-on experience of HTML, CSS, JavaScript, and Typescript.

3. Hands-on experience in Angular 15+ version.

4. Strong knowledge of REST API.

5. Solid understanding of Object-Oriented programming and a Java background.

6. Ability to work independently and should have an excellent interpersonal and communication skills.

7. Should have Angular JS knowledge.

8. Experience in backend testing framework.

9. Good communication skill & ability to work with multiple stakeholders at onshore.

10. Must have experience with server rendering.

Soft Skills:

1. Excellent organizational and troubleshooting skills with attention to detail to consistency minimize errors.

2. Professional, reliable, and possessing a strong work ethics.

3. Excellent communication skills.

We’re building the future of AI-powered sales enablement.

PitchSense AI is a flagship product within our portfolio of AI-driven Sales and Marketing solutions.

We blend conversational intelligence, generative AI, and behavioural analytics to help people master persuasion through real-time AI simulations.

Why PitchSense AI

Working here means joining a small, fast-moving team that lives at the frontier of applied AI.

You’ll:

• Build in a high-pace, high-learning environment where ideas ship fast.
• Tinker with cutting-edge AI tools, agents, and large language models (LLMs) daily.
• Prototype novel ways to combine speech, emotion, and reasoning into human-like training experiences.
• Learn across multiple domains — engineering, design, analytics, and product.
• Work directly with the founding team on problems no one has solved before.

This is not routine work — it’s an opportunity to shape entirely new experiences in human-AI interaction while growing faster than you ever have before.

Designer II

Location: Gurgaon

Experience: 3–6 years | Type: Full-time | Reports to: CTO

Responsibilities

• Own end-to-end design for PitchSense AI.
• Define visual identity, motion, and interaction patterns.
• Collaborate closely with engineers for smooth handoffs and rapid prototyping.
• Run design reviews, mentor Designer I, and champion user-centric decisions.
• Design across AI simulation UIs, partner dashboards, and training experiences.

Requirements

• 3–6 years in UI/UX or product design.
• Mastery of Figma, or equivalent tools.
• Portfolio demonstrating system-level and data-heavy design work.
• Collaborative, detail-driven mindset.

Bonus

• Familiarity with AI-assisted design workflows.
• Early-stage SaaS or B2B product experience.

Developer Tools & Workflow

Every engineer and designer at PitchSense AI uses modern, AI-augmented tools to move fast and ship better.

Tools

• Cursor IDE
• Claude Code
• AWS (Lambda, ECS, RDS, S3)
• AI-based Code Reviews
• MagicPath
• Figma AI

Workflow Highlights

• Continuous deployment via GitHub Actions / AWS Pipelines.
• PR preview environments for instant testing.
• AI-driven code review loops for rapid iteration.
• Cross-disciplinary culture - work across frontend, backend, DevOps, and design.

Culture & Perks

• Ownership from day one - every role is founding-level.
• 6-day work week, Monday to Saturday.
• High-performance, meritocratic culture - growth based on impact, not tenure.
• Cross-discipline learning - explore code, design, and infrastructure alike.
• MacBook for work and premium tooling.
• Annual offsite for alignment and collaboration.
• Competitive compensation and ESOPs for core hires.
• Direct mentorship from the CTO and founding team.
• Real impact - reshape how humans learn to sell, speak, and persuade through AI.

1. STRATEGIC GUIDANCE

• Help us understand real customer pain points

• Guide our product roadmap for BFSI sector

• Review and refine our go-to-market strategy

2. NETWORK ACCESS (When appropriate)

• Introduce us to key decision-makers

• Open doors to potential enterprise clients

• Connect us with relevant partners

3. INDUSTRY VALIDATION

• Endorse our solution within your network

• Provide testimonials/case study support

• Help us navigate regulatory requirements

4. MENTORSHIP

• Coach our founding team on industry nuances

• Share lessons from your career journey

• Help us avoid common startup pitfalls

Job Title -Data Scientist

Job Duties

1. Data Scientist responsibilities includes planning projects and building analytics models.
2. You should have a strong problem-solving ability and a knack for statistical analysis.
3. If you're also able to align our data products with our business goals, we'd like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data.

Responsibilities

Own end-to-end business problems and metrics, build and implement ML solutions using cutting-edge technology.

Create scalable solutions to business problems using statistical techniques, machine learning, and NLP.

Design, experiment and evaluate highly innovative models for predictive learning

Work closely with software engineering teams to drive real-time model experiments, implementations, and new feature creations

Establish scalable, efficient, and automated processes for large-scale data analysis, model development, deployment, experimentation, and evaluation.

Research and implement novel machine learning and statistical approaches.

Requirements

2-5 years of experience in data science.

In-depth understanding of modern machine learning techniques and their mathematical underpinnings.

Demonstrated ability to build PoCs for complex, ambiguous problems and scale them up.

Strong programming skills (Python, Java)

High proficiency in at least one of the following broad areas: machine learning, statistical modelling/inference, information retrieval, data mining, NLP

Experience with SQL and NoSQL databases

Strong organizational and leadership skills

Excellent communication skills

We have multiple open positions for full-stack engineers to work with us on a cutting-edge eCommerce trade analysis platform.

I am looking for multiple full stack MERN developers

Must have experience with:

• Typescript
• NextJS
• Firebase / AWS services
• Experience working on SaaS applications with a large codebase

Nice to have

• Tailwind
• DynamoDB
• Chart libraries such as ChartJS

• 9+ years development experience in JAVA (using OO Design and Analysis, Design Patterns, etc.)
• High experience in Java 8 Required.
• 4+ years’ experience building highly scalable, distributed and reliable Restful Web Services using Spring, Jersey, etc.
• Should have knowledge on Cloud applications preferably on AWS.
• Knowledge on building Front end applications using JavaScript, AngularJS, HTML5, CSS3.
• Experience with relational DBs like MySQL and NoSQL Database like MongoDB, Solr/Lucene will be a plus.
• Experience with Tomcat, Jax-RS, REST, JPA, IntelliJ, Groovy, Hibernateis must.
• Experience with build technologies like Gradle, Jenkins will be a plus. 
• Experience with Test Driven Development using TestNG/Junit testing frameworks.
• Experience working with version control like GIT.