business analyst

About IntraIntel.ai

At IntraIntel.ai, we are building a next-generation, multi-tenant AI platform that enables organizations across industries—healthcare, clinical research, manufacturing, and textiles—to harness the power of intelligent automation and Generative AI. Our platform seamlessly integrates AI agents, RAG pipelines, and LLM-based workflows into a unified, scalable, and secure ecosystem hosted on Google Cloud Platform (GCP).

We are looking for a Full Stack Developer with deep experience in AI-integrated applications, cloud-native architecture, and end-to-end platform development—someone passionate about building intelligent systems that push the boundaries of innovation.

Key Responsibilities

1. Full Stack Development

• Design, build, and maintain full-stack applications with Node.js, Express.js, and modern frontend frameworks such as React.js / Angular.
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• Implement RESTful APIs, GraphQL endpoints, and real-time communication features supporting multi-tenant AI workloads.
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• Optimize backend logic for scalability, modularity, and high availability on GCP.
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• Integrate AI-driven features (RAG, chatbots, data pipelines) into user-facing experiences.

2. AI Integration & Agentic Architecture

• Work alongside AI engineers and architects to integrate LLMs, RAG pipelines, and AI agents (using frameworks like LangChain, CrewAI, or LlamaIndex) into the product stack.
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• Develop APIs and connectors for prompt orchestration, vector storage (FAISS, Chroma, Pinecone), and model inference workflows.
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• Implement context-aware AI features with secure data access boundaries and performance optimization.

3. Cloud Infrastructure & CI/CD

• Deploy, manage, and optimize applications on Google Cloud Platform (GCP) using services such as Cloud Run, GKE, BigQuery, Cloud Storage, IAM, and Pub/Sub.
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• Set up and maintain CI/CD pipelines using GitHub Actions, Cloud Build, or Terraform for automated testing, integration, and deployment.
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• Manage infrastructure as code (IaC), automate containerized builds, and optimize deployment strategies for multi-environment scalability.
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4. UI/UX Collaboration

• Collaborate with product and design teams to transform mockups into seamless user experiences using Figma and front-end frameworks.
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• Contribute to UX optimization, ensuring that AI-driven features are intuitive, responsive, and visually engaging.
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• Work with designers to ensure front-end consistency across multi-tenant environments.
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5. Performance, Security & Monitoring

• Ensure data privacy, scalability, and compliance through role-based access control (RBAC), encryption, and secure API practices.
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• Monitor system performance using Cloud Monitoring / OpenTelemetry, ensuring uptime and reliability.
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• Participate in architectural discussions to enhance system observability and security posture.
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Required Skills & Qualifications

Technical Proficiency

• Backend: Node.js, Express.js, Python (for AI integration), REST/GraphQL APIs
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• Frontend: React.js / Angular / Vue.js, HTML5, CSS3, TypeScript, Next.js
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• Database: PostgreSQL, MongoDB, Firestore, Redis
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• Cloud: Google Cloud Platform (GCP) – Cloud Run, IAM, GKE, BigQuery, Cloud Storage
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• AI Integration: LLM APIs (OpenAI, Gemini, Claude), LangChain, RAG, vector databases (FAISS, Pinecone, Chroma)
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• DevOps: Docker, Kubernetes, Terraform, Cloud Build, GitHub Actions
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• Version Control: Git, Bitbucket
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• UI/UX Collaboration: Figma, Material UI, responsive design principles
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Experience & Attributes

• 5+ years of experience in full-stack development, preferably on AI or SaaS platforms.
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• Strong understanding of multi-tenant architectures and modular design principles.
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• Proven experience in CI/CD pipeline automation and infrastructure management.
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• Experience in integrating AI services, chatbots, or intelligent recommendation systems.
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• Strong problem-solving skills and ability to collaborate in a fast-paced, cross-functional environment.
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• Excellent communication skills and documentation habits.
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Preferred Qualifications

• Prior experience working with AI-driven SaaS or agentic AI platforms.
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• Familiarity with PromptOps / MLOps practices and versioning workflows for LLMs.
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• Experience in data governance and security compliance (HIPAA, GDPR, or SOC2).
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• Cloud certifications (GCP Professional Cloud Developer / Architect) are a plus.
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Why Join IntraIntel.ai

• Work on cutting-edge AI agentic architectures with real-world enterprise impact.
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• Join a fast-growing, innovation-driven team shaping the future of AI platforms.
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• Build products at scale across diverse industries with a unified mission.
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• Collaborative and flexible environment encouraging ownership and creativity.
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About Autonomize AI

Autonomize AI is on a mission to help organizations make sense of the world's data. We help organizations harness the full potential of data to unlock business outcomes. Unstructured dark data contains nuggets of information that when paired with human context will unlock some of the most impactful insights for most organizations, and it’s our goal to make that process effortless and accessible.

We are an ambitious team committed to human-machine collaboration. Our founders are serial entrepreneurs passionate about data and AI and have started and scaled several companies to successful exits. We are a global, remote company with expertise in building amazing data products, captivating human experiences, disrupting industries, being ridiculously funny, and of course scaling AI

The Opportunity

As a Senior Machine Learning Engineer at Autonomize, you will lead the development and deployment of machine learning solutions with an emphasis on large language models (LLMs), vision models, and classic NLP (Natural Language Processing) models. The ideal candidate will have a proven track record in these areas, particularly within healthcare contexts, and will play a significant role in advancing our AI-driven healthcare optimized AI Copilots and Agents..

What You’ll Do

1. Help fine-tune or prompt engineer large language models (LLMs) for various healthcare applications across various customer engagements.
2. Develop and refine our approach to handling vision based data using state-of-the-art VLM based models capable of processing and analyzing medical documents, healthcare forms in various formats and other visual data accurately.
3. Create and enhance classic NLP models to understand and generate human language in healthcare settings, supporting clinical documentation, and patient interaction.
4. Collaborate with multi-disciplinary teams including data scientists,ml engineers, healthcare clients, and product managers to deliver robust solutions.
5. Ensure models are efficiently deployed and integrated into healthcare systems, maintaining high performance and scalability.
6. Mentor and provide guidance to junior engineers and data scientists, fostering a culture of continuous learning and innovation.
7. Conduct rigorous testing, validation, and tuning of models to ensure accuracy, reliability, and compliance with healthcare standards.
8. Deep understanding of various training techniques including distributed training on GPUs and TPUs.
9. Stay informed on the latest research, tools, and technologies in machine learning, particularly those applicable to language and vision processing in healthcare.
10. Document methodologies, model architectures, and project outcomes effectively for both technical and non-technical audiences.

You’re a Fit If You Have

1. Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
2. 5-7 years of experience in machine learning engineering, with a significant track record in the developing production grade models and model pipelines in a regulated industry such as healthcare.
3. Hands-on expertise in working with large language models (e.g., GPT, BERT), computer vision models, and classic NLP technologies.
4. Proficient in programming languages such as Python, with extensive experience in ML libraries/frameworks like TensorFlow, PyTorch, OpenCV, etc.
5. Strong understanding of deep learning techniques, model fine-tuning, hyper parameter optimization, and model optimization 
6. Proven experience in deploying and managing ML models in production environments.
7. Excellent analytical skills, with a problem-solving mindset and the ability to think strategically.
8. Strong communication skills for articulating complex concepts to diverse audiences.
9. Working knowledge or experience in MLOps and LLMOps using tools like mlflow, kubeflow
10. Working knowledge of basic software engineering principles and best practices
11. Demonstrated working knowledge and experience on classic ML techniques and frameworks.
12. Nice to have : Knowledge of Cloud vendor based ML Platforms such as Azure ML, Sagemaker

Bonus Points:

1. Owner mentality - For you, the buck stops at you, You own it, you will learn it, and you will get it done
2. You are naturally curious. Always experimenting than hypothesising - You like to push boundaries, you figure things out and experiment your way through any problem
3. You are passionate, unafraid & loyal to the team & mission
4. You love to learn & win together
5. You communicate well through voice, writing, chat or video, and work well with a remote/global team
6. Large/Complex organization experience in deploying NLP/ML in production 
7. Experience in efficiently scaling ML model training and inferencing 
8. Experience with Big Data technologies using Kafka, Spark, Hadoop, Snowflake

What we offer:

• Influence & Impact: Lead and shape the future of healthcare AI implementations
• Outsized Opportunity: Join at the ground floor of a rapidly scaling, VC-backed startup
• Ownership, Autonomy & Mastery: Full-stack ownership of customer programs, with freedom to innovate
• Learning & Growth: Constant exposure to founders, customers, and new technologies—plus a professional development budget

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

Required Skill Set

Software Engineer/Senior Software Engineer/Lead Engineer-Java

· Experience in Core Java 5.0 and above, Angular, Data Structures, OOPS, Multithreading, Algorithms, Collections, Unix/Linux

· Possess good architectural knowledge and be aware of enterprise application design patterns.

· Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications.

· Good development experience with RDBMS

· Good knowledge of multi-threading and high volume server side development

Basic working knowledge of Unix/Linux

· Excellent problem solving and coding skills in Java

· Strong interpersonal, communication and analytical skills.

· Should have the ability to express their design ideas and thoughts.

Job Brief-

·        Understand product requirements and come up with solution approaches

·        Build and enhance large scale domain centric applications

·        Deploy high quality deliverables into production adhering to the security, compliance and SDLC guidelines

1. Client Handling:

● Act as the primary point of contact for clients, ensuring clear and professional communication.

● Understand client requirements and expectations to align recruitment solutions accordingly.

● Build and maintain strong client relationships to foster trust and repeat business.

2. Scheduling:

● Coordinate and schedule interviews between clients, candidates, and interview panels efficiently.

● Manage calendars to avoid scheduling conflicts and ensure timely updates to all stakeholders.

● Use appropriate tools to streamline scheduling and improve the overall recruitment process.

3. Client Responding:

● Promptly address client inquiries via email, phone, or other communication channels.

● Provide timely updates regarding recruitment progress and candidate status.

● Ensure a smooth flow of communication between clients and the internal team.

4. Client Escalation Handling:

● Manage and resolve client escalations in a professional and timely manner.

● Investigate issues thoroughly, identify root causes, and provide actionable solutions.

● Escalate unresolved issues to senior management if necessary while ensuring client satisfaction.

5. Panel Coordination:

● Liaise with interview panels to ensure their availability for scheduled interviews.

● Share relevant candidate information and interview materials with the panel in advance.

● Provide support to the panel for any technical or logistical requirements during interviews.

6. Candidate Coordination:

● Communicate interview schedules, instructions, and expectations to candidates clearly.

● Assist candidates with any queries related to the interview process.

● Ensure candidates are well-prepared and follow up on post-interview updates.

WHAT WILL YOU NEED TO SUCCEED?

● Experience: 2+ years of experience in coordination and client-facing roles.

● Skills: Strong communication and interpersonal skills, with excellent organizational and

multitasking abilities.

● Knowledge: Familiarity with recruitment processes, tools, and scheduling software.

● Problem-Solving: Ability to manage escalations and resolve conflicts efficiently.

● Flexibility: Comfortable working in a fast-paced, client-focused environment.

Requirements:

• Strong C/C++ programming and debugging skills in a Linux environment.
• Experience with Design Patterns, ACE Framework, and Socket Programming.
• Experience in Multi-threaded software development for Multicore Architectures.
• Experience in VOIP application development, preferably on client/server platforms.
• Understanding of system performance and scaling.
• Experience in embedded software development.
• Excellent problem solving/debugging skills design, develop, troubleshoot and debug.
• Software programs for databases, applications, tools, networks etc.