Tech Support Engineer

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

We are looking for an integration engineer to assist our rapidly growing customer base. As part of our integration team, you will be the primary point of contact for all integrations. You would be responsible for helping our clients integrate with OneFin APIs, configuring our system for clients and providing ongoing help to them to resolve any issues.

Responsibilities

1. Understand and explain APIs to clients. Help clients integrate OneFin APIs. Research and identify solutions to issues during integration.
2. Escalate unresolved issues to appropriate internal teams (e. g. software developers).
3. Become a product expert for clients.
4. Configure OneFin system for customized usage by clients. Identify and write internal and external technical articles or knowledge-base entries, like typical troubleshooting steps, workarounds, or best practices, how-to guides etc.
5. Automate solution of common issues using Python.
6. Help live clients resolve issues and coordinate with the development team for issue resolution.

Requirements and Qualifications:

1. Strong verbal and written communication skills.
2. Experience in writing code in Python.
3. Understanding web based systems.
4. Proficient in understanding and writing JSON.
5. Experience in SQL databases.
6. Experience working with REST APIs.
7. Excellent analytical skills, passion for pinning down technical issues, and solving problems.

https://forms.gle/4tEbPAwW7uis9PPX7

We are seeking a highly skilled and motivated Full Stack Developer to join our development team. You will be responsible for designing, developing, and maintaining web applications from concept to deployment. The ideal candidate possesses a strong understanding of both front-end and back-end technologies, and thrives in a collaborative, fast-paced environment.

Responsibilities

• Full Stack Development: Design, develop, and implement new features and functionalities for our web applications across the entire technology stack.
• Front-end Development: Build user-friendly and responsive interfaces using modern front-end frameworks and libraries (e.g., React, Angular, Vue.js).
• Back-end Development: Develop robust and scalable server-side logic using appropriate back-end technologies (e.g., Node.js, Python, Java, Ruby).
• Database Management: Design and manage databases, ensuring data integrity and efficiency.
• API Integration: Integrate with third-party APIs and services to enhance application functionality.
• Testing and Debugging: Write and execute unit tests and integration tests, and effectively identify and resolve bugs.
• Collaboration: Work closely with product managers, designers, and other developers to understand requirements and deliver high-quality solutions.
• Performance Optimization: Continuously improve application performance and scalability.
• Stay Current: Keep abreast of emerging technologies and industry best practices.

What You'll Do:

• You will collaborate with a UX/UI designer and other frontend and middle-tier engineers to design, prototype, and build complex cloud-based web applications.
• You will assist other developers with the integration of UI components with backend logic, interface implementation, and troubleshooting.
• Supporting the existing UI is a must, however, there will be plenty of opportunities to create solutions for advanced functionality while making improvements to existing areas of the application, as well as with new features.

What Makes You A Great Fit :

• Hands-on experience with HTML, CSS frameworks, and JavaScript
• Must have an excellent understanding of the browser DOM.
• Firm grasp of lexical scoping, closures, and OO JavaScript.
• Proficient in native JavaScript as well as one or more frameworks/libraries such as jQuery, Ext JS, Backbone.js, ReactJS, Angular 6 and above, etc.
• Proficient with debugging and testing tools to troubleshoot and optimize the UI.
• Understanding of frontend security best practices and XSS, CSRF, e

Role Description

Key Responsibilities and Accountabilities

We are seeking a highly motivated individual to coordinate and collaborate with our sales, delivery, and support teams in the creation of sales-related documents, specifically pre-sales activities, documents, proposals, client presentations, due-diligence, risk assessments, and more.

As a key member of our team, you will be responsible for understanding clients' existing business processes and requirements and providing pre-sales support for our Sales Managers and Account Managers.

Proposals- In this role, you will need to understand the requirements and create a winning proposal or presentation based on inputs from multiple technology and domain teams. You will need to coordinate with different teams to ascertain inter-dependencies and maintain an overall proposal delivery project plan with defined tasks, deliverables, and associated timelines.

Repository - You will be responsible for creating and maintaining case studies, introductory segment presentations, and samples in coordination with delivery and sales teams.

Pipeline Reporting- The role also involves sales pipeline reporting and tracking, including financial and sales activity reporting. You will also be responsible for ensuring that all standard company presentations, brochures, and collaterals are up-to-date and indexed properly in the repository.

As a self-starter, you will be expected to identify key issues and priorities and focus on delivering required results with minimal direction and supervision. Multitasking with a high level of ownership is essential for success in this role, considering the high level of role seniority and sensitivity.

Market Intelligence- As a key member of our team, you will be responsible for conducting comprehensive reviews of the market through a thorough analysis of demand-supply dynamics, competition landscape, value chain, and regulatory frameworks governing the industry. In addition, you will conduct in-depth assessments of companies involving a review of their business structure, product/service offerings, management team, recent developments, go-to-market approach, and outlook.

Leadership- As a mentor, you will be responsible for training associates/analysts working on the projects being executed. You will support the development of proposals through case-studies, samples, and preliminary background research. You will exhibit sector-specific subject-matter expertise as relevant.

Reporting: EVP, Client Engagement Team

Internal and External Interfaces - DPA sales & marketing, operations teams and Clients

 Position Details: Full-time, permanent position

Qualification: MBA in Finance/ Marketing. Experience in the financial services industry will be an added advantage.

Research background will be an added advantage.

Work Timing: Day shift ~ 11am to 8 PM shift

Skills and Experience:

·  Good flair for writing and presentation skills

·  Good communication skills with an excellent command over English

·  Good understanding of financial markets/economics

·  Ability to articulate and communicate thoughts/opinions in effective manner.

·  Good command over MS Word, Excel, Powerpoint

Behavioral and Culture Competencies

·  Should be able to think on their feet when it comes to proposing solutions to clients based on their pain points/requirements.

·  Must be a team player.

·  Able to co-ordinate with multiple teams within the organization along with client teams(s)

·  Comfortable in client communication, written and oral

·  Able to work under pressure and with short deadlines

About Decimal Point Analytics:

Decimal Point Analytics (DPA) is a modern technology-enabled research and consulting firm. Since our inception in 2003, we have been a trusted partner to an entire spectrum of financial market professionals. We are thrilled to be able to deliver innovation in research processes through a team of experts in financial services and computing. By utilizing and scaling the values we bring into the engagements, our customers have been able to delight their end-customers and garner competitive advantage in the process.

Why should you be excited about this role?

We are the backbone of the organization when it comes to engaging with clients and growing the business at a strategic level. If you believe that you have what it takes to contribute meaningfully to accomplish these goals, this is the role for you!

If you are a detail-oriented and motivated individual with a passion for sales support and coordination, we encourage you to apply for this exciting opportunity.

We are a stealth startup focusing on AI in healthcare and are looking for software engineers to join our PoC (Proof of Concept) team. You will be a core member of the company with equity options. If you are ambitious, excited about next-generation tech and have a constant hunger to learn, we encourage you to apply.

Your responsibilities:

• Design and develop full-stack web applications for PoC.
• Implement computer vision and NLP based deep learning models.
• Participate in client meetings and refine product capabilities.

Essential requirements:

• Interested in working at startups.
• Ability to work independently.
• Experienced in developing full-stack web applications.
• Strong command over React and Python.
• Good experience with Data Science.
• Comfortable with ambiguity and frequent changes to project scope in innovation environment.

• Coordinate with global hiring managers to identify staffing needs
• Determine selection criteria
• Source potential candidates through online channels (e.g. social platforms and professional networks)
• Plan interview and selection procedures, including screening calls, assessments, and in-person interviews
• Assess candidate information, including resumes and contact details, using our Applicant Tracking System
• Design job descriptions and interview questions that reflect each position’s requirements
• Lead employer branding initiatives
• Organize and attend job fairs and recruitment events
• Forecast quarterly and annual hiring needs by department
• Foster long-term relationships with past applicants and potential candidates

• Proven work experience as a Talent Acquisition Specialist or similar role
• Familiarity with social media, resume databases, and professional networks (e.g. LinkedIn, Stack Overflow, and Github)
• Hands-on experience with full-cycle recruiting using various interview techniques and evaluation methods
• Knowledge of Applicant Tracking Systems (ATSs)
• Excellent verbal and written communication skills
• A keen understanding of the differences between various roles within organizations

• Verbal and non-verbal communication.
• Listening skills.
• Assertiveness.

Product marketers play a crucial role in positioning products/services the right way to the right people because they have a deep understanding of your target customers and how our products and services fulfil their needs. As a product marketing specialist, you will be on the team responsible for telling the world (and enterprises) the story of our product. You will be expected to be an avid advocate for our product feature set and its benefits. We’re looking for a passionate, go-getter who will have the opportunity to make a big impact on a tightly knit team that is building enterprise software. 

This could be an excellent opportunity to take your career to the next level and learn a lot more along the way, hopefully you’ll teach us a few things too!

• You will be required to create product content (e.g. sales enablement documentation, case studies, product videos, website copy, blog posts, Quora/forum responses) to articulate the benefits of our products to the world.
• Work on thetactical campaign execution. Daily hands-on work will include email builds/sends, landing pages, dynamic content, A/B tests, list imports, and database management.
• You will also set up, test, maintain, and report on recurring and triggered campaigns. Improve initiatives around lead targeting, A/B testing, and deliverability.
• You may be required to manage the company’s social media profiles and presence, including Facebook, Twitter, LinkedIn, and additional channels that may be deemed relevant.
• You will be expected to build product page content, optimize the conversion paths on those pages, and use dynamic call-to-action to create and test buyer stage-specific calls-to-action.
• Manage both on-page SEO and off-page SEO for the company.
• Collaborate with content marketing and blog contributors to create high-quality content around important, relevant terms.
• Manage and improve organic search engine performance and goal-setting based on clickthrough rates, traffic, and conversions. Track lead generation activities.