AI Architect

Location: Remote (US preferred) | Type: Full-Time | Team Size: 12-person product org

Industry: Fintech / Lending SaaS | Stack: PHP, Python, AWS, LangChain, OpenAI, CrewAI

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What We’re Building

We’re LendingWise — a B2B SaaS platform powering over 250 lenders, brokers, and banks nationwide. We’re launching a next-gen AI Agent Platform for the mortgage/lending lifecycle: document verification, pricing engines, automated workflows, and multi-agent orchestration — all fully integrated with our CRM/LOS.

You’ll lead the design and development of:

• Modular AI agent system (n8n, CrewAI, LangChain, or your recs)
• Workflow builder UI (admin-facing, trigger/condition/action logic)
• Tool registry + field mapping layer (to connect LendingWise + 3rd-party APIs like CoreLogic, Qualia)
• Document AI module using OCR (Textract or Google)
• Python AI microservices running next to our PHP monolith
• OpenAPI 3.1 upgrade of our current endpoints

🛠️ 

Your Role

• Act as hands-on architect and lead engineer
• Own integration of LLMs, workflows, and document tools into real loan files
• Design scalable agent orchestration, triggers, and tool execution
• Collaborate with CTO, 5 full stack engineers (PHP), and 2 product owners
• Prototype and ship the MVP in 4–6 months, scale from there

💡 

About You

• You’ve built real-world agent workflows or automation platforms (AI or not)
• You’re fluent in LangChain, CrewAI, OpenAI API, or similar
• You’ve shipped production software integrating external APIs and business logic
• You’re comfortable leading architecture, writing Python services, and advising on where PHP stays or goes
• You balance speed with technical vision — you build for iteration, not just demos

🧰 

Bonus Skills

• Experience with mortgage or financial software
• PHP knowledge (to interface with legacy systems)
• Familiarity with MCP (Model Context Protocol) or tool registry concepts
• Vector databases, RAG, embeddings, Doc AI APIs

📈 Why This Role?

• Massive greenfield AI project with real customers, real use cases, real docs
• No fluff. Small team. Fast cycles. Visible outcomes.
• You’ll architect something that might become the “AI Copilot of Lending”

✅ Apply if you’re ready to:

• Own the architecture
• Write production Python
• Help shape the next chapter of AI in lending tech

We are looking for skilled AI Engineer for our organization. Please have a look to below details and revert accordingly if we can discuss further

Company Name: TechWize (A Business unit of Mangalam Information Technologies Pvt Ltd.)

Our Accreditations -

• 25 years of industry presence
• Salesforce Partner
• ISO 27001:2019 certified
• Great Place to Work certified
• HIPAA Compliant
• SOC2 Compliant
• NASSCOM Member

Our EVP (Employee Value proposition)

• We are a Great place to work certified company.
• 30 Earned Leaves during calendar Year
• Career progression and continuous Learning & Development (Technical, Soft skills, Communication, Leadership)
• Performance bonus & Loyalty Bonus Benefits
• 5 Days working
• Rewards and Recognition programs
• Standard Salary as per market norms
• Equal career opportunities, No discrimination
• Magnificent & Dynamic Culture
• Festival celebrations & fun events

Explore more : https://techwize.com/, https://mangalaminfotech.com/

Position: AI/Sr. AI Engineer

Job location: Ahmedabad

Experience: 4+ years

Job Overview:

We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI, including LLM fine-tuning and prompt engineering. This role requires hands-on expertise across NLP, Computer Vision, and AI agent-based systems, with the ability to build, deploy, and optimize scalable AI solutions using modern tools and frameworks.

Key Responsibilities:

• Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications.
• Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality.
• Build NLP solutions for Q&A, summarization, information extraction, text classification, and more.
• Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks.
• Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines.
• Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features.
• Optimize models for performance, cost-efficiency, and low latency in production.
• Continuously evaluate new AI research, tools, and frameworks and apply them where relevant.
• Mentor junior AI engineers and contribute to internal AI best practices and documentation.

Required Skills & Qualifications:

• Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
• 5+ years of hands-on experience in AI/ML solution development.
• Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT.
• Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG).
• 
  
• Proficient in key AI libraries and frameworks:
• LLMs & GenAI: Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers
• NLP: SpaCy, NLTK.
• Vision: OpenCV, MMDetection, YOLOv5/v8, Detectron2
• MLOps: MLflow, FastAPI, Docker, Git
• 
  
• Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation.
• Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure.
• Strong communication skills and ability to convert business problems into technical solutions.

Key Responsibilities:

• Develop and maintain scalable Python applications for AI/ML projects.
• Design, train, and evaluate machine learning models for classification, regression, NLP, computer vision, or recommendation systems.
• Collaborate with data scientists, ML engineers, and software developers to integrate models into production systems.
• Optimize model performance and ensure low-latency inference in real-time environments.
• Work with large datasets to perform data cleaning, feature engineering, and data transformation.
• Stay current with new developments in machine learning frameworks and Python libraries.
• Write clean, testable, and efficient code following best practices.
• Develop RESTful APIs and deploy ML models via cloud or container-based solutions (e.g., AWS, Docker, Kubernetes).

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Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three

Location: Hybrid/ Remote

Openings: 2

Experience: 5+ Years

Qualification: Bachelor’s or Master’s in Computer Science or related field

Job Responsibilities

Problem Solving & Optimization:

• Analyze and resolve complex technical and application issues.
• Optimize application performance, scalability, and reliability.

Design & Develop:

• Build, test, and deploy scalable full-stack applications with high performance and security.
• Develop clean, reusable, and maintainable code for both frontend and backend.

AI Integration (Preferred):

• Collaborate with the team to integrate AI/ML models into applications where applicable.
• Explore Generative AI, NLP, or machine learning solutions that enhance product capabilities.

Technical Leadership & Mentorship:

• Provide guidance, mentorship, and code reviews for junior developers.
• Foster a culture of technical excellence and knowledge sharing.

Agile & Delivery Management:

• Participate in Agile ceremonies (sprint planning, stand-ups, retrospectives).
• Define and scope backlog items, track progress, and ensure timely delivery.

Collaboration:

• Work closely with cross-functional teams (product managers, designers, QA) to deliver high-quality solutions.
• Coordinate with geographically distributed teams.

Quality Assurance & Security:

• Conduct peer reviews of designs and code to ensure best practices.
• Implement security measures and ensure compliance with industry standards.

Innovation & Continuous Improvement:

• Identify areas for improvement in the software development lifecycle.
• Stay updated with the latest tech trends, especially in AI and cloud technologies, and recommend new tools or frameworks.

Required Skills

• Strong proficiency in JavaScript, HTML5, CSS3
• Hands-on expertise with frontend frameworks like React, Angular, or Vue.js
• Backend development experience with Java, Spring Boot (Node.js is a plus)
• Knowledge of REST APIs, microservices, and scalable architectures
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Experience with Agile/Scrum methodologies and JIRA for project tracking
• Proficiency in Git and version control best practices
• Strong debugging, performance optimization, and problem-solving skills
• Ability to analyze customer requirements and translate them into technical specifications

Responsibilities :-

1.      Design and engineer new next generation fintech solutions.

2.      Implement, optimize and manage the microservices based architecture, end to end, considering various technologies and business stakeholders.

3.      Build the correct database design and be ready to evolve it as per upcoming requirements.

4.      Design, develop and implement various web and mobile app based customer/partner/merchant journeys.

5.      Work with multiple stakeholders to understand inherent complexities involved in building the new solutions on top of the existing product and provide the most suitable and optimized one.

6.      A go getter with no reservations, should be ready to jump in and code if required.

7.      Do code reviews and ensure that best practices are followed

Ensure that best security practices are taken care of while building the product. 

Requirements:-

1.      Bachelor of Engineering or Bachelor of Technology in Computer Science / Information Technology or a related field

2.      At least 12 years of experience that includes at least 5 years of experience in technology architecture with a significant focus on building scalable full stack applications to be deployed on cloud

3.      Excellent problem solving and strategic thinking and leadership skills with the ability to implement complex projects to successful completion

4.      Hands on experience in Nodejs, JavaScript, Mongo DB, Relational Database and React. Must be efficient in building efficient code and DB queries.

5.      Experience in using cloud services from various cloud providers i.e. AWS, Azure, OCI (AWS exposure is the must)

6.      Understanding and experience in ensuring the security best practices are taken care of while building the product.

Should have excellent communication and interpersonal skills.

Must Have:

1. Strong proficiency with .Net Core API development
2. Experience with caching approaches for API
3. Hands on with SQL Server and its variation among popular databases
4. Well versed with stored procedures, query plans, altering the indexes, and troubleshooting the performance holdups
5. Skilled at performance optimization of .NET APIs
6. Experience & Knowledge on Open API specification & swagger documentation
7. Experience in building Cloud Native Applications
8. Experience in Microservices architecture
9. Has worked on the deployment of applications using Docker
10. Has Knowledge of Kubernetes
11. Has Experience with Cache systems like Redis.

Nice to Have:

1. Familiar with .NET design patterns
2. Performance tuning of SQL Stored Procedures

Note: We looking for immediate joiners. We expect the offered candidate should join within 15 days. Buyout reimbursement is available for 30 to 60 days notice period applicants who can ready join within 15 days.