Lead - Strategic Partnerships (Education & Impact)

Hiring: Senior AI Engineer / AI Architect (Part-Time)

Location: 100% Remote (India)

Employment Type: Part-Time (4 Hours Daily)

About the Role

We are looking for an experienced Senior AI Engineer / AI Architect to design, develop, and deploy enterprise-grade AI solutions. This role is ideal for a highly skilled professional with deep expertise in Generative AI, Agentic AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-native AI architectures.

You will lead the design and implementation of intelligent AI systems that automate business processes, enhance decision-making, and seamlessly integrate with enterprise applications across AWS and Azure environments.

Key Responsibilities

Generative AI & Agentic AI

• Design and build enterprise GenAI and Agentic AI applications using modern LLM frameworks.
• Develop multi-agent AI systems using LangChain and LangGraph.
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines using embeddings and vector databases.
• Create prompt engineering strategies, context management frameworks, and AI orchestration workflows.
• Integrate leading LLM platforms including OpenAI, Azure OpenAI, Anthropic Claude, AWS Bedrock, and other AI APIs.

AI/ML Engineering

• Design, develop, and deploy machine learning models for NLP, classification, prediction, and recommendation systems.
• Implement LLMOps/MLOps practices for model evaluation, monitoring, and lifecycle management.
• Fine-tune and optimize AI models for enterprise-scale use cases.
• Establish AI governance, security guardrails, and responsible AI frameworks.

Cloud & Data Engineering

• Architect scalable AI solutions on AWS and Azure.
• Build robust data pipelines using Databricks, Kafka, Glue, Synapse, Data Lake, and ETL/ELT technologies.
• Develop event-driven architectures using Kafka, EventBridge, Service Bus, SNS, and SQS.
• Design and manage vector database solutions such as Pinecone, Azure AI Search, Weaviate, or similar platforms.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 8+ years of software engineering experience.
• 5+ years of AI/ML engineering experience.
• Strong programming expertise in Python and FastAPI.
• Hands-on experience building Generative AI, Agentic AI, and LLM-based applications.
• Strong experience with LangChain, LangGraph, RAG, embeddings, and vector databases.
• Solid knowledge of AWS and Azure cloud platforms.
• Experience designing scalable and secure enterprise AI architectures.

Preferred Qualifications

• Experience in Healthcare, Financial Services, or Insurance domains.
• Hands-on experience with Databricks, MLflow, and MLOps platforms.
• Experience with Azure AI Foundry, Azure OpenAI, and AWS Bedrock.
• Knowledge of HIPAA, SOC2, and enterprise security frameworks.
• AWS and/or Azure certifications are a plus.

Technical Skills

Python | FastAPI | LangChain | LangGraph | RAG | LLMOps | OpenAI | Azure OpenAI | AWS Bedrock | Pinecone | Azure AI Search | Databricks | MLflow | Kafka | Docker | Kubernetes | AWS | Azure

What We're Looking For

• Strong problem-solving and architectural design skills.
• Experience delivering enterprise AI solutions from concept to production.
• Ability to work independently in a remote, collaborative environment.
• Passion for building next-generation AI systems and automation platforms.

Looking forward to work with you.

Know someone who might be a great fit? Feel free to tag them or share this opportunity within your network!

Best regards,

Akash Sahu

Talent Partner @ eQuestever

 Akash (Allen) Sahu

🌐 www.equestever.com

 201 E Center St Suite 112, Anaheim CA 92805, USA

Role Overview

We are seeking a highly skilled and experienced Senior AI Engineer with deep expertise in computer vision and architectural design. The ideal candidate will lead the development of robust, scalable AI systems, drive architectural decisions, and contribute significantly to the deployment of real-time video analytics, multi-model systems, and intelligent automation

solutions.

Key Responsibilities

 Design and lead the architecture of complex AI systems in the domain of computer vision and real-time inference.

 Build and deploy models for object detection, image segmentation, classification, and tracking.

 Mentor and guide junior engineers on deep learning best practices and scalable software engineering.

 Drive end-to-end ML pipelines: from data ingestion and augmentation to training, deployment, and monitoring.

 Work with YOLO-based and transformer-based models for industrial use-cases.

 Lead integration of AI systems into production with hardware, backend, and DevOps teams.

 Develop automated benchmarking, annotation, and evaluation tools.

 Ensure maintainability, scalability, and reproducibility of models through version control, CI/CD, and containerization.

Required Skills

 Advanced proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).

 Strong experience with YOLO, segmentation networks (UNet, Mask R-CNN), and

tracking (Deep SORT).

 Sound understanding of real-time video analytics and inference optimization.

 Hands-on experience designing model pipelines using Docker, Git, MLflow, or similar tools.

 Familiarity with OpenCV, NumPy, and image processing techniques.

 Proficiency in deploying models on Linux systems with GPU or edge devices (Jetson, Coral)

Good to Have

 Experience with multi-model orchestration, streaming inference (DeepStream), or virtual camera inputs.

 Exposure to production-level MLOps practices.

 Knowledge of cloud-based deployment on AWS, GCP, or DigitalOcean.

 Familiarity with synthetic data generation, augmentation libraries, and 3D modeling tools.

 Publications, patents, or open-source contributions in the AI/ML space.

Qualifications

 B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or related field.

 4+ years of proven experience in AI/ML with a focus on computer vision and system- level design.

 Strong portfolio or demonstrable projects in production environments

Role Overview: As an Angular Developer (SDE 1), you will be responsible for developing and

maintaining high-performance, scalable web applications using Angular. You will work closely with

product managers, designers, and backend developers to create seamless and efficient user

experiences.

Key Responsibilities:

• Application Development: Design, develop, and maintain robust web applications using

Angular.

• UI/UX Implementation: Work with designers to implement responsive and user-friendly

interfaces.

• Code Quality: Write clean, maintainable code and conduct code reviews to ensure high

quality standards.

• Bug Fixing: Identify and resolve bugs and performance issues in a timely manner. •

Collaboration: Collaborate with cross-functional teams including backend developers,

designers, and product managers to deliver high-quality solutions.

• Testing: Develop and execute unit tests and integration tests to ensure application reliability. •

Documentation: Create and maintain technical documentation for code and processes.

Requirements:

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or

equivalent practical experience.

• Experience: 1-2 years of professional experience in developing web applications with

Angular.

• Technical Skills:

o Proficiency in Angular (version 2+), TypeScript, HTML, and CSS.

o Experience with RESTful APIs and integrating with backend services.

o Familiarity with version control systems (e.g., Git).

o Understanding of responsive design principles and cross-browser compatibility.

• Soft Skills:

o Strong problem-solving skills and attention to detail.

o Ability to work collaboratively in a team environment.

o Good communication skills and the ability to articulate technical concepts to non

technical stakeholders.

Nice-to-Have:

• Experience with state management libraries such as NgRx or RXJS.

• Knowledge of modern front-end build tools and workflows (e.g., Webpack, npm). •

Familiarity with Agile methodologies and practices.

Responsibilities:

• Contacting potential clients to establish rapport and arrange meetings.
• Planning and overseeing new marketing initiatives.
• Researching organizations and individuals to find new opportunities.
• Increasing the value of current customers while attracting new ones.
• Finding and developing new markets and improving sales.
• Attending conferences, meetings, and industry events.
• Developing quotes and proposals for clients.
• Developing goals for the development team and business growth and ensuring they are met.
• Training personnel and helping team members develop their skills.

Mandatory skills 

1. CSG Singleview (even a little exposure with any component is good enough).
2. At least One telecom project experience, i.e., billing /charging or rating modules. 
3. Broad understanding of UNIX operating environment
4. Hands-on experience in developing and executing test plans and scripts

Secondary exp:

1. Experience with multi-user, complex software applications
2. Mix platforms such as Windows/ Linux
3. Able to gain a basic understanding of client requirements.
4. Agile methodology experience and knowledge of testing methodology.

• The developer should be well conversant with principles of clean codeand refactoring practices.
• The developer should have experience writing unit and integration tests.
• The developer should be conversant with agile development practices.
• Prior experience in Python is a good to have but the developer should be willing to do development in Python.
• The developer is expected to collaborate with developers from other teams as well as business stakeholders in India and in US to design and develop business requirements.

• Integration of user-facing elements developed by front-end developers
• Build efficient, testable, and reusable PHP modules
• Solve complex performance problems and architectural challenges
• Integration of data storage solutions.
• Maintaining social media and admin panel accounts.

• Strong knowledge of PHP web frameworks.
• Understanding the fully synchronous behavior of PHP
• Understanding of MVC design patterns
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
• Knowledge of object-oriented PHP programming
• Understanding accessibility and security compliance.
• Strong knowledge of the common PHP or web server exploits and their solutions
• Understanding fundamental design principles behind a scalable application
• User authentication and authorization between multiple systems, servers, and environments
• Integration of multiple data sources and databases into one system
• Familiarity with limitations of PHP as a platform and its workarounds
• Creating database schemas that represent and support business processes
• Familiarity with SQL/NoSQL databases and their declarative query languages
• Proficient understanding of code versioning tools, such as Git.
• Website development and API integrations. Database and password security.