Business Developer

ROLES AND RESPONSIBILITIES:

As a Frontend Product Engineer , you will be an integral part of our mobile team, helping design and develop cross-platform mobile applications. You’ll gain hands-on experience in React Native development, work closely with Director Engineering, and contribute to building enterprise-grade applications that drive real-world impact.

WHAT YOU'LL DO?

• Contribute to the development of mobile applications using React Native (iOS & Android).
• Collaborate with senior developers and designers to implement features and enhancements.
• Write clean, maintainable, and efficient code following best practices.
• Assist in debugging, testing, and performance optimization.
• Stay curious and continuously learn about new mobile development trends and technologies.

IDEAL CANDIDATE:

• 1+ years of hands-on experience with JavaScript, TypeScript, and React Native.
• Good understanding of iOS or Android development.
• Demonstrable projects or apps (professional or personal) showcasing React Native skills.
• Eagerness to learn, adapt, and grow in a fast-paced environment.
• Strong communication and collaboration skills.

PERKS, BENEFITS AND WORK CULTURE:

• Competitive salary package.
• Opportunity to learn from and work with senior leadership & founders.
• Build solutions for large enterprises that move from concept to real-world impact.
• Exceptional career growth pathways in a highly innovative and rapidly scaling environment.

• 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

Key responsibilities:

● Work closely with the design and product teams to help craft conversational experiences for our users

● Ability to work independently to deliver features that the team design

● You need to own outcomes without someone watching over you

● Understand the data we have and identify how we could leverage it to create more personalised experiences for our users.

● Fine tune models with data specific to our use case

● Use different RAG approaches to augment data that the LLM already has

● Ability to be a leader and independent contributor (we’re a startup so be ready to do whatever it takes)

● Setup new workflow, systems and tool from the ground up (you will have support, but we’re building things from scratch)

Requirements:

● 3+ years of experience

● Experience working with LLMs and Generative AI

● Experience building conversational bots

● Experience fine tuning models

● Experience using RAG base approaches

● Understanding of financial concepts and investing would be a big plus but not required

Job Description: Lead Full-Stack Developer

Location: Pune Shift timings: 2-11 p.m. (Hybrid working model)

Job Overview: We are looking for two highly skilled Lead Developers based in India to join U.S.-driven Agile teams as key contributors. These roles will be pivotal in driving the end-to-end technical delivery of essential features across customer-facing and associate-facing platforms. This position requires a hands-on engineering approach, with at least half of the time dedicated to coding and core technical execution, while also leading and supporting the broader team in achieving project goals.

Primary Responsibilities:

 Act as the senior technical lead within a globally distributed team, focusing on domains such as Loyalty, Mobile Applications, CRM, and Customer Pickup solutions.

 Take ownership of design, development, testing, and deployment of cloud-native microservices and modular web components.

 Guide and oversee code reviews, ensure adherence to coding guidelines, and promote engineering best practices.

 Collaborate closely with U.S.-based product owners, architects, and delivery managers to define requirements, decompose epics, refine user stories, and estimate effort.

 Mentor and coach junior developers in India, fostering technical excellence within a remote-first, collaborative work culture.

 Provide transparent updates on risks, blockers, architectural choices, and delivery progress across international teams.

 Deliver high-quality, maintainable, and testable code following scalability, observability, and resiliency standards.

 Build and maintain integrations with Salesforce, internal/external APIs, SQL/NoSQL databases, and customer data platforms.

Required Skills & Experience:

 Minimum 10 years of progressive software development experience with proven leadership in technical delivery.

 Strong expertise in Java, Spring Boot, REST APIs, SQL (PostgreSQL, SQL Server), and front-end frameworks such as React or Angular.

 Hands-on experience working in Agile teams, partnering directly with U.S.-based product and engineering stakeholders.

 Advanced skills in debugging, performance optimization, and unit/integration test automation.

 Proficiency with CI/CD pipelines, Git-based source control, containerization (Docker), and modern deployment strategies.

 Exceptional communication skills with a proactive and solution-oriented approach in a distributed team environment.

 Prior exposure to offshore-onshore collaboration models is highly desirable.

Company Name - Bhanzu formerly (Exploring Infinities).

Website - https://www.bhanzu.com/

Location - HSR Layout, Bangalore

Workdays: 6-days

Key Responsibilities:

• Candidate Sourcing: Assist in sourcing candidates through various channels, such as online job boards, social media platforms, and professional networks.
• Resume Screening: Review resumes and applications to identify qualified candidates and maintain an organized candidate pipeline.
• Interview Coordination: Schedule and coordinate interviews between candidates and hiring managers, ensuring a smooth and efficient process.
• Candidate Communication: Maintain regular communication with candidates, providing updates on the status of their applications and answering any questions they may have.
• Applicant Tracking: Update and maintain the applicant tracking system (ATS) with accurate and up-to-date candidate information.
• Recruitment Advertising: Support the creation and posting of job advertisements on various online platforms and monitor their effectiveness.
• Employer Branding: Contribute to employer branding initiatives by creating content for social media platforms and assisting in the organization of recruitment events.
• Reference Checks: Conduct reference checks for selected candidates to gather additional insights and validate qualifications.
• Data Analysis: Assist in analyzing and reporting recruitment metrics to track the effectiveness of sourcing strategies and hiring processes.
• Administrative Support: Provide administrative support to the Talent Acquisition team, such as organizing files, maintaining documentation, and preparing reports.

Requirements:

• Recent graduate in Human Resources, Business Administration, or a related field.
• Strong interest in talent acquisition and recruitment.
• Excellent verbal and written communication skills.
• Highly organized with strong attention to detail.
• Proficient in using Microsoft Office Suite (Word, Excel, PowerPoint).
• Familiarity with applicant tracking systems (ATS) is a plus.
• Ability to handle sensitive and confidential information with professionalism and integrity.
• Self-motivated and able to work independently as well as collaboratively in a team environment.
• Strong time management skills and ability to prioritize tasks effectively.
• Flexible and adaptable, with the ability to thrive in a fast-paced and changing work environment.
• A working device 

We are building an AI-powered chatbot platform and looking for an AI/ML Engineer with strong backend skills as our first technical hire. You will be responsible for developing the core chatbot engine using LLMs, creating backend APIs, and building scalable RAG pipelines.

You should be comfortable working independently, shipping fast, and turning ideas into real product features. This role is ideal for someone who loves building with modern AI tools and wants to be part of a fast-growing product from day one.

Responsibilities

• Build the core AI chatbot engine using LLMs (OpenAI, Claude, Gemini, Llama etc.)

• Develop backend services and APIs using Python (FastAPI/Flask)

• Create RAG pipelines using vector databases (Pinecone, FAISS, Chroma)

• Implement embeddings, prompt flows, and conversation logic

• Integrate chatbot with web apps, WhatsApp, CRMs and 3rd-party APIs

• Ensure system reliability, performance, and scalability

• Work directly with the founder in shaping the product and roadmap

Requirements

• Strong experience with LLMs & Generative AI

• Excellent Python skills with FastAPI/Flask

• Hands-on experience with LangChain or RAG architectures

• Vector database experience (Pinecone/FAISS/Chroma)

• Strong understanding of REST APIs and backend development

• Ability to work independently, experiment fast, and deliver clean code

Nice to Have

• Experience with cloud (AWS/GCP)

• Node.js knowledge

• LangGraph, LlamaIndex

• MLOps or deployment experience

About the Company:

Our client is a leading mid‐market investment bank with strong practices around M&A, PE, Capital Markets, Institutional Equities, Wealth Management, Insurance Broking, and Portfolio Management Services. A trusted Investment bank servicing customers with the best results in advisory in their investments, the best corporates for their growth & capital need, and families in managing their wealth. Led by seasoned bankers, our client works with the largest and the most reputed investors.

Roles and Responsibilities:

• Handling and managing HNI clients.

• Achieving annual revenue, AUM & Strategic product targets in the respective geography.

 • Servicing existing clients with the support of client servicing team.

 • Adhering to all regulatory, statutory, and corporate compliance standards.

• Effectively networking across markets and generating potential business leads.

Requirements:

• 5+ years of experience in Wealth Management.

 • Must be graduate and have great command over English & Regional Language.

• Should have strong communication and presentation skills.

• Excellent Relationship Management skills

• Extensive HNI client handling & transaction closure experience.

• Strong blend of analytical thinking and operations execution.

Benefits:

• 5 days working( Mon-Fri)
• Provident Fund(PF)
• Medical Insurance.

Key Responsibilities:

• Install, configure, deploy, and administer Camunda 7 &8 for enterprise-level applications.
• Design and model BPMN workflows and DMN decisions using Camunda Modeler.
• Set up Single Sign-On (SSO), monitoring, and logging frameworks within the Camunda BPM environment.
• Develop, deploy, and monitor workflows in Camunda Cockpit, resolving any technical issues as they arise.
• Integrate Camunda workflows with Microservices and SpringBoot frameworks.
• Collaborate with database teams to design and optimize SQL queries and stored procedures for Camunda-based applications.
• Develop and consume RESTful and SOAP web services, ensuring seamless integration with external systems.
• Handle JSON and XML objects within workflows to ensure data integrity and accuracy.
• Utilize Docker and Kubernetes for containerization and orchestration of Camunda BPM services.
• Stay updated with the latest trends and best practices in Camunda BPM and related technologies.

Required Skills:

• 4-8 years of experience with Camunda BPM and Java J2EE development.
• Strong experience with BPMN workflow modeling and DMN decision modeling in Camunda Modeler.
• Proficiency in setting up and configuring SSO, monitoring, and logging frameworks in Camunda BPM.
• Experience with Microservices architecture and SpringBoot.
• Solid understanding of database concepts with practical knowledge of SQL and stored procedures.
• Expertise in developing and integrating RESTful and SOAP web services.
• Hands-on experience with JSON and XML object handling within workflows.
• Experience with Docker and Kubernetes for containerized deployments.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
• Relevant certifications in Camunda BPM, Java, or related technologies are a plus.

• Building and Designing advanced Android applications for the Android platform.
• Cross-functional team collaboration to design, define and ship new features.
• To use and work with outside APIs and data sources.

Qualifications

• 3+ years of experience specifically on MVVM architecture creating B2C applications.
• Should have developed at least 1 app from scratch.
• Good knowledge in Java
• Excellent debugging skills
• Good understanding of Kotlin, jetpack components, Android Studio, Android NDK, etc
• Experience and understanding of large and complex code bases and architectures
• Experience in API design, SDK architecture, and mobile software lifecycle development practices
• Strong UX/UI design exposure and experience in making apps work intuitively and with pixel perfect interfaces

The Must-Haves

• Should have developed at least 1 app from scratch.
• Good knowledge in Java
• Excellent debugging skills
• Good understanding of Kotlin, jetpack components, Android Studio, Android NDK, etc
• Experience and understanding of large and complex code bases and architectures
• Experience in API design, SDK architecture, and mobile software lifecycle development practices
• Strong UX/UI design exposure and experience in making apps work intuitively and with pixel perfect interfaces
• Strong CS fundamentals  (with competencies in algorithms and data structures)

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology