C++ Developer

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with over 5 years of experience in Python, React, Cloud Services, and Generative AI (LLM, RAG, Agentic AI). The ideal candidate can handle multiple challenges independently, think smartly, and build scalable end-to-end applications while also owning architecture and deployment.

Must Have Skills

• Python (Fast API, Django REST Framework, Flask)
• React JS 
• Cloud Services (VM, Storage, Auth and Auth, Functions and Deployments) 
• Microservices , Serverless Architecture
• Docker, Container orchestration (Kubernetes)
• API Development & Integration
• Bitbucket or Git-based version control
• Agile/Kanban working model
• Familiarity with AI-powered coding assistants such as GitHub Copilot, Cursor AI, or Lovable AI.
• Basic understanding of Generative AI concepts and prompt engineering.

Good to Have Skills

• Experience with AI orchestration tools (Lang Chain, Llama Index, Semantic Kernel)
• Generative AI (LLMs, RAG Framework, Vector DB, AI Chatbots, Agentic AI)
• API Testing Tools (Postman)
• CI/CD Pipelines
• Advanced Cloud Networking & Security
• Automation Testing (Playwright, Selenium) 

Preferred Personal Attributes

• Highly proactive and self-driven
• Smart problem solver with strong analytical ability
• Ability to work independently in ambiguous and complex scenarios
• Strong communication & stakeholder management skills
• Ownership mindset and willingness to handle multiple challenges at once

Key Responsibilities

Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React / Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Ensure clean architecture, maintainability, and code quality.
• Own development across the lifecycle—design, build, testing, deployment.
• Develop AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Build and optimize RAG pipelines, vector searches, embeddings, and agent workflows.
• Integrate vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent Assistants.
• Apply prompt engineering, fine-tuning, and model evaluation best practices.
• Deploy, manage, and monitor cloud workloads on AWS/Azure/GCP.
• Design and implement serverless architectures, microservices, event-driven flows.
• Use Docker, CI/CD, and best DevOps practices.
• Ensure scalability, security, cost optimization, and reliability.

Collaboration & Leadership

• Comfortably handle ambiguity, break down problems, and deliver with ownership.
• Lead technical initiatives and mentor junior team members.
• Work closely with cross-functional teams in Agile/Kanban environments.

Job Title:

Senior Full Stack Developer

Experience: 5 to 7 Years. Minimum 5yrs FSD exp mandatory

Location: Bangalore (Onsite)

About ProductNova:

ProductNova is a fast-growing product development organization that partners with ambitious companies to build, modernize, and scale high-impact digital products. Our teams of product leaders, engineers, AI specialists, and growth experts work at the intersection of strategy, technology, and execution to help organizations create differentiated product portfolios and accelerate business outcomes.

Founded in early 2023, ProductNova has successfully designed, built, and launched 20+ large-scale, AI-powered products and platforms across industries. We specialize in solving complex business problems through thoughtful product design, robust engineering, and responsible use of AI.

What We Do

Product Development

We design and build user-centric, scalable, AI-native B2B SaaS products that are deeply aligned with business goals and long-term value creation.

Our end-to-end product development approach covers the full lifecycle:

● Product discovery and problem definition

● User research and product strategy

● Experience design and rapid prototyping

● AI-enabled engineering, testing, and platform architecture

● Product launch, adoption, and continuous improvement

From early concepts to market-ready solutions, we focus on building products that are resilient, scalable, and ready for real-world adoption. Post-launch, we work closely with customers to iterate based on user feedback and expand products across new use cases, customer segments, and markets.

Growth & Scale

For early-stage companies and startups, we act as product partners—shaping ideas into viable products, identifying target customers, achieving product-market fit, and supporting go-to-market execution, iteration, and scale.

For established organizations, we help unlock the next phase of growth by identifying opportunities to modernize and scale existing products, enter new geographies, and build entirely new product lines. Our teams enable innovation through AI, platform re-architecture, and portfolio expansion to support sustained business growth.

Role Overview

We are looking for a Senior Full Stack Developer with strong expertise in frontend development using React JS, backend microservices architecture in C#/Python, and hands-on experience with AI-enabled development tools. The ideal candidate should be comfortable working in an onsite environment and collaborating closely with cross-functional teams to deliver scalable, high-quality applications.

Key Responsibilities:

• Develop and maintain responsive, high-performance frontend applications using React JS

• Design, develop, and maintain microservices-based backend systems using C#, Python

• Experienced in building Data Layer and Databases using MS SQL, Cosmos DB, PostgreSQL

• Leverage AI-assisted development tools (Cursor / GitHub Copilot) to improve coding

efficiency and quality

• Collaborate with product managers, designers, and backend teams to deliver end-to-end

solutions

• Write clean, reusable, and well-documented code following best practices

• Participate in code reviews, debugging, and performance optimization

• Ensure application security, scalability, and reliability

Mandatory Technical Skills:

• Strong hands-on experience in React JS (Frontend Coding) – 3+ yrs

• Solid experience in Microservices Architecture C#, Python – 3+ yrs

• Experience building Data Layer and Databases using MS SQL – 2+ yrs

• Practical exposure to AI-enabled development using Cursor or GitHub Copilot – 1yr

• Good understanding of REST APIs and system integration

• Experience with version control systems (Git), ADO

Good to Have:

• Experience with cloud platforms (Azure)

• Knowledge of containerization tools like Docker and Kubernetes

• Exposure to CI/CD pipelines

• Understanding of Agile/Scrum methodologies

Why Join ProductNova

● Work on real-world, high-impact products used at scale

● Collaborate with experienced product, engineering, and AI leaders

● Solve complex problems with ownership and autonomy

● Build AI-first systems, not experimental prototypes

● Grow rapidly in a culture that values clarity, execution, and learning

If you are passionate about building meaningful products, solving hard problems, and shaping the future of AI-driven software, ProductNova offers the environment and challenges to grow your career.

Job Title: Full Stack Engineer (Django + Next.js)

We’re looking for a Full Stack Engineer with strong backend fundamentals and solid frontend experience to build scalable web products and APIs.

Must-Have

• Django + DRF (2+ years): Models, serializers, services, API views, migrations, query optimization (select_related / prefetch_related), transaction.atomic, custom managers

• Next.js + React (2+ years): App Router, SSR, client components, dynamic imports, useQuery, responsive UIs with Tailwind

• REST APIs: Auth, permissions, pagination, error handling, CORS, JWT flows

• PostgreSQL: Schema design, indexes, constraints, JSON fields, raw SQL when needed

• Celery / async tasks: Retry logic, idempotency, task chaining

• Git: Clean commits, branching, PR workflow

Good to Have

• AI / LLM integrations

• AWS S3 and presigned uploads

• Multi-tenancy

• WebRTC / MediaRecorder

• Docker

• Testing with pytest / Django TestCase / factory_boy

We’re looking for someone who can independently own features end-to-end and write clean, scalable code.

We’re partnering with a fast-growing AI-first enterprise transforming how organizations handle documents, decisioning, and workflows — starting with BFSI and healthcare. Their platforms are redefining document intelligence, credit analysis, and underwriting automation using cutting-edge AI and human-in-the-loop systems.

As an AI Engineer, you’ll work with a high-caliber engineering team building next-gen AI systems that:

• Power robust APIs and platforms used by underwriters, analysts, and financial institutions.
• Build and integrate GenAI-powered agents.
• Enable “human-in-the-loop” workflows for high-assurance decisions in real-world conditions.

Key Responsibilities

• Build and optimize ML/DL models for document understanding, classification, and summarization.
• Apply LLMs and RAG techniques for validation, search, and question-answering tasks.
• Design and maintain data pipelines for structured and unstructured inputs (PDFs, OCR text, JSON, etc.).
• Package and deploy models as REST APIs or microservices in production environments.
• Collaborate with engineering teams to integrate models into existing products and workflows.
• Monitor, retrain, and fine-tune models to ensure reliability and performance.
• Stay updated on emerging AI frameworks, architectures, and open-source tools; propose system improvements.

Required Skills & Experience

• 2–5 years of hands-on experience in AI/ML model development, fine-tuning, and deployment.
• Strong Python proficiency (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow).
• Solid understanding of transformers, embeddings, and NLP pipelines.
• Experience with LLMs (OpenAI, Claude, Gemini, etc.) and frameworks like LangChain.
• Exposure to OCR, document parsing, and unstructured text analytics.
• Familiarity with FastAPI/Flask, Docker, and cloud environments (AWS/GCP/Azure).
• Working knowledge of CI/CD pipelines, model validation, and evaluation workflows.
• Strong problem-solving skills, structured thinking, and production-quality coding practices.

Bonus Skills

• Domain exposure to Fintech/BFSI or Healthcare (e.g., credit underwriting, claims automation, KYC).
• Experience with vector databases (FAISS, Pinecone, Weaviate) and semantic search.
• Knowledge of MLOps tools (MLflow, Airflow, Kubeflow).
• Experience integrating GenAI into SaaS or enterprise products.

Education

• B.Tech / M.Tech / MS in Computer Science, Data Science, or related field.
• (Equivalent hands-on experience will also be considered.)

Why Join

• Build AI systems from prototype to production for live enterprise use.
• Work with a senior AI and product team that values ownership, innovation, and impact.
• Exposure to LLMs, GenAI, and Document AI in large-scale enterprise environments.
• Competitive compensation, career growth, and a flexible work culture.

Required skillset
Experience in backend and frontend tech stack and deployment is mandatory.
Excellent programming skills in Golang/Python/Java, JS/Dart/Swift and HTML/CSS.
Proficient in Web architecture and cloud integration concepts.
Experience with NoSQL database is preferred.
Good to have hands-on experience with GCP/AWS/Azure.
Qualification: Bachelors/Masters Computer Science or related domain.
Knowledge of DevOps tools and CI/CD practices are strong additions

Responsibilities
Help to architect Concepts/MVP with minimal supervision.
Work on the full spectrum of technology stack - backend & frontend.
Explore the feasibility of running video analytics on Edge (App/Browser)
Work with the Analytics team for creating various visualization options