Senior Project Associate

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.

DocNexus is revolutionizing the global medical affairs & commercial ecosystem with search. We provide a next-generation data platform that simplifies searching through millions of insights, publications, clinical trials, payments, and social media data within seconds to identify healthcare professionals (HCPs), products, manufacturers, and healthcare systems. Leveraging AI-powered Knowledge Graphs, DocNexus assists life science organizations in finding the right key opinion leaders (KOL/DOLs) who play a crucial role in developing and bringing life-saving pharmaceutical products and medical devices to market. Backed by industry leaders such as Techstars, JP Morgan, Mass Challenge, and recognized as one of the Top 200 Most Innovative Startups by TechCrunch Disrupt, we are committed to transforming healthcare insights. We are seeking a skilled and passionate DevOps Engineer to join our dynamic team and contribute to the efficient development, deployment, and maintenance of our platform.

We are looking for a visionary Sr. Full Stack Engineering Lead who is passionate about building and leading our technology department. The ideal candidate will have a solid technical background and experience in leading a team to drive innovation and growth. As Engineering Lead, you will oversee the development and dissemination of technology for external customers, vendors, and other clients to help improve and increase business.

Leadership and Strategy:

• Lead the engineering team and make strategic decisions regarding the technology stack, project management, and resource allocation.
• Establish the company’s technical vision and lead all aspects of technological development.

Development:

• Develop and maintain the front-end and back-end of web applications.
• Ensure the performance, quality, and responsiveness of applications.
• Collaborate with a team to define, design, and ship new features.

Maintenance and Optimization:

• Maintain code integrity and organization.
• Identify and correct bottlenecks and fix bugs.
• Continually work on optimizing the performance of different applications.

Security: Ensure the security of the web applications by integrating security best practices.

• Regularly update the system to protect against vulnerabilities.

Innovation:

• Research and implement new technologies and frameworks that can improve the performance and user experience of the platform.
• Stay informed on emerging technologies and trends that can potentially impact the company's products and services.

Collaboration and Communication:

• Work closely with other departments to understand their needs and translate them into technical solutions.
• Communicate technology strategy to partners, management, investors, and employees.

Project Management:

• Oversee and support project planning, deadlines, and progress.
• Ensure that the technology standards and best practices are maintained across the organization.

Mentoring and Team Building:

• Foster a culture of innovation and excellence within the technology team.
• Mentor and guide the professional and technical development of team members.

Front-End Development:

• HTML/CSS: For structuring and styling the web pages.
• JavaScript/TypeScript: Core scripting language, along with frameworks like Angular, React, or Vue.js for dynamic and responsive user interfaces.

Back-End Development:

• Python: Using frameworks like Django or Flask for server-side logic.
• Node.js: JavaScript runtime environment for building scalable network applications.
• Ruby on Rails: A server-side web application framework written in Ruby.

Database Management:

• SQL Databases: MySQL, PostgreSQL for structured data storage.
• NoSQL Databases: MongoDB, Cassandra for unstructured data or specific use cases.

Server Management:

• Nginx or Apache: For server and reverse proxy functionalities.
• Docker: For containerizing applications and ensuring consistency across multiple development and release cycles.
• Kubernetes: For automating deployment, scaling, and operations of application containers.

DevOps and Continuous Integration/Continuous Deployment (CI/CD):

• Git: For version control.
• Jenkins, Travis CI, or CircleCI: For continuous integration and deployment.
• Ansible, Chef, or Puppet: For configuration management.

Cloud Services:

• AWS: For various cloud services like computing, database storage, content delivery, etc.
• Serverless Frameworks: Such as AWS Lambda or Google Cloud Functions for running code without provisioning or managing servers.

Security:

• OAuth, JWT: For secure authentication mechanisms.
• SSL/TLS: For secure data transmission.
• Various Encryption Techniques: To safeguard sensitive data.

Performance Monitoring and Testing:

• Selenium, Jest, or Mocha: For automated testing.
• New Relic or Datadog: For performance monitoring.

Data Science and Analytics:

• Python Libraries: NumPy, Pandas, or SciPy for data manipulation and analysis.
• Machine Learning Frameworks: TensorFlow, PyTorch for implementing machine learning models.

Other Technologies:

• GraphQL: For querying and manipulating data efficiently.
• WebSockets: For real-time bi-directional communication between web clients and servers.

About NebuLogic:

An ISO 9001:2015 certified company that provides best-in-class digital transformation, CRM solution to both commercial and public sector agencies worldwide. For more details, please visit our website www.NebuLogic.com

Role Summary

We are seeking Full Stack Developers with strong experience in building and enhancing CRM-based applications, combined with hands-on exposure to AI-driven tools and modern development practices.

Key Responsibilities

·       Design, develop, and maintain CRM-based applications across front-end and back-end layers.

·       Build scalable APIs and integrate third-party services.

·       Leverage AI tools to improve productivity, code quality, and application intelligence.

·       Collaborate closely with UX designers, infrastructure teams, and product stakeholders.

·       Participate in code reviews, testing, and continuous improvement initiatives.

Required Skills, Experience & Education

·       3-5 years of hands-on full stack development experience.

·       Proficiency in modern front-end and back-end technologies.

·       Experience with AI tools, frameworks, or AI-assisted development.

·       Solid understanding of REST APIs, databases, and integration patterns.

·       Bachelor’s or master’s degree from a top institute

Share your resumes directly to contact @ nebulogic .com

We're looking for an experienced Full-Stack Engineer who can architect and build AI-powered agent systems from the ground up. You'll work across the entire stack—from designing scalable backend services and LLM orchestration pipelines to creating frontend interfaces for agent interactions through widgets, bots, plugins, and browser extensions.

You should be fluent in modern backend technologies, AI/LLM integration patterns, and frontend development, with strong systems design thinking and the ability to navigate the complexities of building reliable AI applications.

Note: This is an on-site, 6-day-a-week role. We are in a critical product development phase where sthe peed of iteration directly determines market success. At this early stage, speed of execution and clarity of thought are our strongest moats, and we are doubling down on both as we build through our 0→1 journey.

WHAT YOU BRING:

You take ownership of complex technical challenges end to end, from system architecture to deployment, and thrive in a lean team where every person is a builder. You maintain a strong bias for action, moving quickly to prototype and validate AI agent capabilities while building production-grade systems. You consistently deliver reliable, scalable solutions that leverage AI effectively — whether it's designing robust prompt chains, implementing RAG systems, building conversational interfaces, or creating seamless browser extensions.

You earn trust through technical depth, reliable execution, and the ability to bridge AI capabilities with practical business needs. Above all, you are obsessed with building intelligent systems that actually work. You think deeply about system reliability, performance, cost optimization, and you're motivated by creating AI experiences that deliver real value to our enterprise customers.

WHAT YOU WILL DO:

Your primary responsibility (95% of your time) will be designing and building AI agent systems across the full stack. Specifically, you will:

• Architect and implement scalable backend services for AI agent orchestration, including LLM integration, prompt management, context handling, and conversation state management.
• Design and build robust AI pipelines — implementing RAG systems, agent workflows, tool calling, and chain-of-thought reasoning patterns.
• Develop frontend interfaces for AI interactions including embeddable widgets, Chrome extensions, chat interfaces, and integration plugins for third-party platforms.
• Optimize LLM operations — managing token usage, implementing caching strategies, handling rate limits, and building evaluation frameworks for agent performance.
• Build observability and monitoring systems for AI agents, including prompt versioning, conversation analytics, and quality assurance pipelines.
• Collaborate on system design decisions around AI infrastructure, model selection, vector databases, and real-time agent capabilities.
• Stay current with AI/LLM developments and pragmatically adopt new techniques (function calling, multi-agent systems, advanced prompting strategies) where they add value.

BASIC QUALIFICATIONS:

• 4–6 years of full-stack development experience, with at least 1 year working with LLMs and AI systems.
• Strong backend engineering skills: proficiency in Node.js, Python, or similar; experience with API design, database systems, and distributed architectures.
• Hands-on AI/LLM experience: prompt engineering, working with OpenAI/Anthropic/Google APIs, implementing RAG, managing context windows, and optimizing for latency/cost.
• Frontend development capabilities: JavaScript/TypeScript, React or Vue, browser extension development, and building embeddable widgets.
• Systems design thinking: ability to architect scalable, fault-tolerant systems that handle the unique challenges of AI applications (non-determinism, latency, cost).
• Experience with AI operations: prompt versioning, A/B testing for prompts, monitoring agent behavior, and implementing guardrails.
• Understanding of vector databases, embedding models, and semantic search implementations.
• Comfortable working in fast-moving, startup-style environments with high ownership.

PREFERRED QUALIFICATIONS:

• Experience with advanced LLM techniques: fine-tuning, function calling, agent frameworks (LangChain, LlamaIndex, AutoGPT patterns).
• Familiarity with ML ops tools and practices for production AI systems.
• Prior work on conversational AI, chatbots, or virtual assistants at scale.
• Experience with real-time systems, WebSockets, and streaming responses.
• Knowledge of browser automation, web scraping, or RPA technologies.
• Experience with multi-tenant SaaS architectures and enterprise security requirements.
• Contributions to open-source AI/LLM projects or published work in the field.

WHAT WE OFFER:

• Competitive salary + meaningful equity.
• High ownership and the opportunity to shape product direction.
• Direct impact on cutting-edge AI product development.
• A collaborative team that values clarity, autonomy, and velocity.

ROLES AND RESPONSIBILITIES

As a Full Stack Developer at GoQuest Media, you will play a key role in building and maintaining

web applications that deliver seamless user experiences for our global clients. From

brainstorming features with the team to executing back-end logic, you will be involved in every

aspect of our application development process.

You will be working with modern technologies like NodeJS, ReactJS, NextJS, and Tailwind CSS

to create performant, scalable applications. Your role will span both front-end and back-end

development as you build efficient and dynamic solutions to meet the company’s and users’

needs.

What will you be accountable for?

● End-to-End Development:

● Design and develop highly scalable and interactive web applications from scratch.

● Take ownership of both front-end (ReactJS, NextJS, Tailwind CSS) and back-end

(NodeJS) development processes.

● Feature Implementation:

● Work closely with designers and product managers to translate ideas into highly

interactive and responsive interfaces.

● Maintenance and Debugging:

● Ensure applications are optimized for performance, scalability, and reliability.

● Perform regular maintenance, debugging, and testing of existing apps to ensure

they remain in top shape.

● Collaboration:

● Collaborate with cross-functional teams, including designers, product managers,

and stakeholders, to deliver seamless and robust applications.

● Innovation:

● Stay updated with the latest trends and technologies to suggest and implement

improvements in the development process.

Tech Stack

● Front-end: ReactJS, NextJS, Tailwind CSS

● Back-end: NodeJS, ExpressJS

● Database: MongoDB (preferred), MySQL

● Version Control: Git

● Tools: Webpack, Docker (optional but a plus)

Preferred Location

This role is based out of our Andheri Office, Mumbai.

Growth Opportunities for You

● Lead exciting web application projects end-to-end and own key product initiatives.

● Develop cutting-edge apps used by leading media clients around the globe.

● Gain experience working in a high-growth company in the media and tech industry.

● Potential to grow into a team lead role.

Who Should Apply?

● Individuals with a passion for coding and web technologies.

● Minimum 3-5 years of experience in full-stack development using NodeJS, ReactJS,

NextJS, and Tailwind CSS.

● Strong understanding of both front-end and back-end development and ability to

write efficient, reusable, and scalable code.

● Familiarity with databases like MongoDB and MySQL.

● Experience with CI/CD pipelines and cloud infrastructure (AWS, Google Cloud) is a

plus.

● Team players with excellent communication skills and the ability to work in a

fast-paced environment.

Who Should Not Apply?

● If you're not comfortable with both front-end and back-end development.

● If you don’t enjoy problem-solving or tackling complex development challenges.

● If working in a dynamic, evolving environment doesn’t appeal to you.

Python/Django Developer will be responsible for implementing the relevant Server-Side Architecture for a Web Application based on the client's requirement for new and existing products. The primary focus will be on the development of software packages ensuring high quality and ease of usability to requests from various teams.

Duties & Responsibilities:

- Writing reusable, testable and efficient code 

- Design and Implementation of low-latency, user-friendly web and mobile-based applications 

- Devise and develop user-friendly software solutions for automation of industry processes 

- Contribute to design reviews and discussions across software teams. 

- Following strict security protocols without any deviation is of prime importance.

- Implementing DevOps in all projects and establishing best practices in the team.

Preferred Skills & Knowledge:

- Strong programming skills in Python/Django

- Experience with Angular, JavaScript frameworks/libraries

- Hands-on experience with MySQL, PostgreSQL or other RDBMS

- Experience with Web application security and secure coding practices

- Strong Analytical thinking and problem-solving ability

- Familiarity with software collaboration tools - GIT

- Ability to work with a distributed and diverse team of researchers and developers.

- Excellent English language communication skills, both written and verbal.

- High level of innovation and motivation

Full Stack Developer

Born at MIT, GeniusMesh is an executive networking, career coaching and recruitment platform. We are building our offshore team to support our growth. 

We are looking for a Full Stack Developer to produce scalable software solutions. You’ll be part of a cross-functional team responsible for the full software development life cycle, from conception to deployment.

As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility. You must be familiar with agile methodologies

• Work with development teams and product managers to ideate software solutions
• Design client-side and server-side architecture
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Write effective APIs
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Write technical documentation
• Work with data scientists and analysts to improve SaaS offerings

• Proven experience as a Full Stack Developer
• Experience developing desktop and mobile applications
• Familiarity with common stacks
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design
• Excellent communication and teamwork skills
• Great attention to detail
• Organizational skills
• Willing to learn new tools and technologies
• An analytical and entrepreneurial mindset
• Degree in Computer Science, Statistics or relevant field
• Willing to work in a fast paced innovative environment

Graphene is an award-winning AI company, developing customized insights and data solutions for corporate clients. With a focus on healthcare, consumer goods and financial services, our proprietary AI platform is disrupting market research with an approach that allows us to get into the mind of customers to a degree unprecedented in traditional market research.

Graphene was founded by corporate leaders from Microsoft and P&G and works closely with the Singapore Government & universities in creating cutting edge technology. We are gaining traction with many Fortune 500 companies globally.

Graphene has a 6-year track record of delivering financially sustainable growth and is one of the few start-ups which are self-funded, yet profitable and debt free.

We already have a strong bench strength of leaders in place. Now, we are looking to groom more talents for our expansion into the US. Join us and take both our growths to the next level!

• Primary Purpose: As part of a highly productive and creative AI (NLP) analytics team, design and develop web applications and SPA’s i.e., UI/UX, and underlying backend – API’s, security framework, scalable microservices etc.
• Daily Grind: Interface with the product manager, project managers, and the engineering team to achieve sprint goals on the product roadmap.
• Career Progression: Senior Full Stack Engineer, Technical Architect

• Work in a product-development team capable of independently authoring software products.
• Guide junior programmers, set up the architecture, and follow modular development approaches.
• Design and develop code which is well documented.
• Optimize of the application for maximum speed and scalability
• Adhere to the best Information security and Devops practices.
• Research and develop new approaches to problems.
• Design and implement schemas and databases with respect to the AI application
• Cross-pollinated with other teams.

HARD AND SOFT SKILLS

Must Have

• Problem-solving abilities
• Extremely strong programming background – data structures and algorithm
• Angular/React, Strong UI/UX skills
• Very strong python background, TDD, CI/CD,
• Software design skills i.e., OOPs, design patterns
• SQL, NoSQL – design of schemas and databases
• Microservices architecture, Cloud native apps

Good to Have

• Enterprise Design Patterns
• Distributed Systems
• Exposure to ML and Data Science
• Docker, Kubernetes, AKS, Kafka, Graph databases

The Application Developer will be responsible for developing custom solutions specializing in C# and NET technologies to support the overall enterprise application initiatives Guides team members in

Adhere to NET framework for automation projects to ensure manageability and maintainability of ode base

7+ years of work experience in developing Business IT Applications, Digital technologies, and Platform implementation

Practical experience of developing machine learning systems

Strong software skills in Python/R/C#

Experience in using machine learning frameworks and libraries such as TensorFlow a plus

Lead and work with ML engineers and data scientists to build smart automation & ML applications

Strong software troubleshooting skills, and an understanding of programming constructs in C# NET, in a MS Windows based enterprise software environment

Lead and work with ML engineers and data scientists to build smart commerce services & ML applications

Identify what kind of data in which format should be collected in order to solve the problem

Strong understanding of programming concepts and a programming background with C# NET

Strong understanding of Process Design documents, Technical Design documents and BPMN 20 standards

Strong understanding of web technologies, HTML, CSS, JavaScript, xml, xaml

Strong understanding of relational database design, writing queries and stored procedures with MySQL or Microsoft SQL

Strong understanding of Object Oriented Analysis and Development within large enterprise level applications