Blockchain Developer for Fintech Co

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.

About Us

AtDrive Infotech is a forward-thinking IT company dedicated to delivering innovative solutions using cutting-edge web technologies. We are passionate about creating intelligent, scalable, and cohesive applications that drive impact. We are seeking skilled Web Developers to join our dynamic team and contribute to transformative projects.

Key Responsibilities

• Design, architect, and develop secure, high-performance, and scalable web solutions.
• Manage the full application lifecycle, including concept, design, development, testing, deployment, release, and ongoing support.
• Create engaging, device-specific user interfaces to enhance user experience.
• Develop and maintain robust APIs to support seamless integration and functionality.
• Participate actively in all phases of the software development lifecycle.
• Provide technical and architectural leadership to development teams.

Qualifications

• Bachelor’s or Master’s degree in Engineering, specializing in Computer Science, Information Technology, or a related field.
• Minimum of 1 year of relevant experience in web design and development.

Desired Skills and Experience

• Core Technical Skills:
• Strong expertise in Angular for building dynamic, client-side applications.
• Proficiency in Node.js for developing scalable server-side applications.
• Advanced knowledge of MySQL for designing and managing relational databases.
• Expertise in API Development for creating secure, efficient, and scalable APIs to support application functionality and third-party integrations.
• Hands-on experience with web technologies: JavaScript, Bootstrap, jQuery, HTML5, CSS, and open-source platforms.
• Proficiency in CSS customization and MVC frameworks.
• Experience with AJAX, XML, and e-commerce platforms.
• AI Knowledge:
• Familiarity with AI concepts and their application in web development (e.g., integrating AI-driven features or APIs).
• Client Communication:
• Exceptional written and verbal communication skills in English, with the ability to effectively collaborate with clients and stakeholders.
• Additional Skills:
• Real-time testing capabilities during development to ensure quality.
• Exposure to client-side technologies like AngularJS is a plus.
• Ability to work independently and collaboratively within a team.
• Strong dedication and commitment to delivering high-quality work.

Personal Attributes

• Thrives in a fast-paced, dynamic environment with a focus on quality and efficiency.
• Strong problem-solving and troubleshooting skills.
• Excellent interpersonal and communication skills (both verbal and written).
• Ability to prioritize and manage multiple tasks to meet tight deadlines.
• Self-motivated with the ability to work with minimal supervision.
• Innovative and proactive approach to problem-solving.
• Flexible and adaptable, with a strong sense of ownership for resolving challenges.
• Capable of multitasking under pressure while maintaining high standards.

Evaluation Criteria

Candidates will be assessed based on the following key parameters:

• Angular Expertise: Demonstrated ability to build robust, dynamic web applications using Angular.
• Node.js Proficiency: Experience in developing efficient, scalable server-side applications.
• MySQL Competence: Strong skills in designing and optimizing relational databases.
• API Development: Proficiency in designing and implementing secure, efficient, and scalable APIs.
• AI Knowledge: Understanding of AI concepts and their practical application in web development.
• Client Communication: Ability to clearly articulate technical concepts and collaborate effectively with clients.

Why Join Us?

If you are passionate about web development, eager to work on challenging projects, and ready to contribute to AtDrive Infotech’s success, we invite you to apply. Join our team and be part of an exciting journey to shape the future of technology!

Apply Now: Share your resume and portfolio to embark on a rewarding career with AtDrive Infotech.

Company: AISpire360 Role: Senior Voice AI Engineer (Independent Contractor, Full-Time Engagement) Location: Remote (India-based preferred; must overlap 4–6 hours daily with London + US Eastern) Engagement: Full-time independent contractor — long-term Compensation: Competitive, paid in USD, monthly. Senior staff-level rates.

About AISpire360

We are building the operating system for medical practices in the US. Our flagship product is ARIA, an AI receptionist that handles inbound and outbound calls, intake, scheduling, eligibility, prior authorization workflows, and after-hours coverage for medical practices. We are in active production deployment with our first practice — a spine surgery practice at the Hospital for Special Surgery in New York. Multiple specialty practices are in our deployment pipeline.

The platform is built to be specialty-agnostic. The voice agent stack is the universal foundation. Knowledge layers (spine surgery, primary care, behavioral health, dermatology, cardiology, pediatrics, etc.) plug in as configuration. One platform, many specialties.

We are venture-backed, founder-led, and shipping. The technical decisions you make here will be in production within weeks.

What You'll Own

You are the technical anchor for the voice agent. You will be responsible for:

Real-time voice system

• Voice agent stack on ElevenLabs Conversational AI (and evaluation of Retell, Vapi, LiveKit alternatives as we scale)
• STT and TTS configuration, voice tuning, language and accent handling
• Turn-taking, barge-in, end-of-speech detection, latency budgets
• Driving end-to-end voice latency below 700ms (we currently target 600ms)
• Quality vs. cost tradeoffs across voice tier selection (Premium / Turbo / Standard)
• Silence-detection optimization for outbound calls (95% silence-discount realization)

HIPAA + PHI infrastructure

• BAA-compliant hosting architecture (AWS-based, BAA in place)
• PHI detection and redaction pipeline (AWS Comprehend Medical + custom pre-filters)
• Encryption in transit and at rest, audit logging, 7-year retention compliance
• Access controls, RBAC, kill-switch infrastructure
• HIPAA Security Rule compliance for technical safeguards

Agent orchestration and tools

• LLM integration (GPT-4o, Claude Sonnet, with model routing for cost optimization)
• Tool calling for scheduling, eligibility checks, prior auth lookups, calendar booking, task creation
• Multi-turn conversation state management
• Multi-topic call handling and structured task generation
• Safety-critical keyword detection and escalation routing

Integrations

• EHR integration (Epic, Athena, eClinicalWorks — at least one in V1)
• Insurance eligibility APIs (Availity, Change Healthcare, payer-specific)
• Calendar integration (Google Calendar, Microsoft 365, Cal.com)
• SMS and email gateways (Twilio, SendGrid)
• Practice-specific webhooks for task manager surfacing

Multi-tenant platform foundations

• Per-practice configuration loading (specialty profile + practice profile)
• Per-tenant isolation, data segregation
• Specialty-specific intake schemas, triage rules, safety keywords
• Production observability (tracing, metrics, latency monitoring per practice)

Required Experience

You should be able to demonstrate, in a live walkthrough with code in hand, that you have shipped production voice AI systems. Specifically:

• 3+ years of production voice/conversational AI experience. Not chatbots — actual real-time voice agents handling live phone calls. ElevenLabs, Retell, Vapi, LiveKit, OpenAI Realtime, Deepgram, or equivalent.
• Deep familiarity with at least 2 of: ElevenLabs Conversational AI, Retell AI, Vapi, LiveKit Agents, OpenAI Realtime API. Production deployment experience required, not demo experience.
• HIPAA and PHI handling experience in production. Not theoretical. You have signed BAAs, deployed in HIPAA-compliant environments, and built PHI redaction pipelines.
• AWS infrastructure expertise. Specifically: ECS or Fargate, Lambda, S3 with encryption, KMS, CloudWatch, IAM, VPC, BAA-eligible service selection.
• AWS Comprehend Medical or equivalent PHI detection experience.
• Twilio or equivalent telephony provider experience. SIP trunking, inbound/outbound call flows, recording and transcription pipelines.
• Latency optimization in real-time systems. You have hit sub-700ms voice latency in production and can explain the trade-offs you made.
• LLM production experience. GPT-4o, Claude, or equivalent. Prompt engineering, tool calling, structured outputs, model routing for cost.
• Python or TypeScript fluency. Production code, not scripts.
• API integration experience. REST, webhooks, OAuth, async patterns. Bonus if you've integrated with EHRs (Epic FHIR, Athena, eClinicalWorks).

Nice to Have

• Healthcare domain experience (EHRs, clinical workflows, medical terminology)
• Prior auth or eligibility verification workflow experience
• Multi-tenant SaaS architecture experience
• SOC 2 audit experience
• Experience with knowledge graphs (PostgreSQL + pgvector, Neo4j, or similar)
• Open-source contributions to LangChain, LiveKit, Pipecat, or similar voice/agent frameworks
• Demonstrated ability to ship to production fast (not perfectionism — pragmatic engineering)

What This Engagement Looks Like

• Independent contractor. You invoice us monthly. We pay in USD via wire transfer or Wise.
• Full-time engagement. This is your primary work. We expect ~40 hours/week of focused output.
• Long-term. We are not looking for a 3-month engagement. Expect this to run 12+ months.
• You sign a BAA with us. This is non-negotiable due to the nature of the work.
• You are eligible for future equity grants as we formalize the team structure.
• Direct working relationship with our CTO (London-based) and founders (NYC and India).
• Time-zone overlap required: at least 4–6 hours of daily overlap with both London and US Eastern. Indian Standard Time evenings (6 PM IST onward) work well.

How We'll Evaluate You

Our hiring process is fast and substantive. No take-homes. No multi-round bureaucracy.

1. Initial screen (30 min): Background, what you've shipped, compensation expectations, BAA-readiness.
2. Technical deep-dive (90 min): Walk us through a production voice AI system you've shipped. Code in hand. Architecture diagrams. Real production numbers — latency, cost per call, scale. We will ask follow-up questions about specific decisions you made.
3. System design (90 min, live): We give you a design problem — a HIPAA-compliant voice agent for a medical specialty we don't yet support. You design end-to-end on a whiteboard / Excalidraw. We probe trade-offs.
4. Founders + CTO conversation (60 min): Mutual fit. You ask us hard questions. We answer honestly.

Total: 4–5 hours of your time. We'll move from first conversation to offer in 7–10 days for the right candidate.

What We Will NOT Accept

• Take-home assignments produced by other AI tools. We will ask you to walk through code live; if you can't explain decisions you didn't make, the interview ends.
• Resume claims you can't substantiate. We verify employment via EPFO/UAN where applicable.
• "I've done LLM chatbots" experience without production voice agent experience. They are not the same skill.
• Engagement structures that conflict with this being your primary work.

How to Apply

Send a brief message with:

1. A link to a production voice AI system you've shipped (or, if NDA'd, a description of the architecture and your specific contribution).
2. Two or three sentences on why this role fits you specifically — not a generic cover letter.
3. Your current compensation expectation in USD per month.
4. Your earliest start date and current time-zone availability.

We read every message. We respond within 5 business days, including with "no" answers. We don't ghost.

About the Role

We are looking for a passionate AI/ML Software Engineer to join our product team and help build intelligent, scalable, and production-ready machine learning solutions. You will work closely with product managers, designers, and backend engineers to integrate AI capabilities into core product features and drive data-driven innovation.

Key Responsibilities

• Design, develop, and deploy machine learning models into production environments
• Build and maintain scalable ML pipelines for data processing, training, and inference
• Collaborate with cross-functional teams to identify AI-driven product opportunities
• Translate business requirements into ML solutions and technical implementations
• Optimize model performance, accuracy, and latency for real-time applications
• Integrate AI/ML models with APIs and backend systems
• Monitor model performance and implement continuous improvement strategies
• Ensure best practices in data handling, model versioning, and reproducibility
• Stay updated with the latest advancements in AI/ML and apply them to product innovation

Required Skills & Qualifications

• Bachelor’s engineering degree in Computer Science, AI, Data Science, or related field
• Strong programming skills in Python (experience with Java/Go is a plus)
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Solid understanding of machine learning algorithms and statistical concepts
• Experience in building and deploying ML models in production
• Familiarity with REST APIs, microservices architecture, and cloud platforms (AWS/GCP/Azure)
• Experience with data processing tools (Pandas, NumPy, Spark, etc.)
• Knowledge of version control systems like Git 

*Must speak fluent english*

Video Pre-Screen Interview Required... After submitting please also visit here to apply & start the initial video interview:

Job description

We believe cloud based technology has changed how we work. Our commercial lending SaaS platform empowers our client base of brokers and lenders to create a seamless borrower experience, manage a network of brokers, & scale their entire lending organization in the cloud powered by LendingWise

Company Description

Do you want to work for a company powering the digital lending transformation across numerous lending verticals? We work to make a lending platform that is robust, customizable, & turnkey for numerous business purpose lending products like residential/commercial real estate lending, business funding, SBA, Equipment, MCA and more. The lending suite of products includes a CRM, LOS, Marketplace, and Servicing capabilities, ALL-IN-ONE platform. It’s the holy grail for every private lender/commercial lender/bank/Credit Union or broker of any size. We launched in early 2018 and have seen explosive growth nationwide.

Position Summary

LendingWise is looking for a Full Stack Developer/Architect who has the ability to define, develop and manage the existing architecture strategy for the LendingWise platform & its inter-connected products related to CRM, LOS, Servicing & Marketplace of lenders. You will be responsible for introducing new applications, services, and technologies into the LendingWise technical landscape and you will take responsibility for the initiatives you designed. You will need expert level knowledge of a variety of business domains including, but not limited to, CRM, Loan Origination, Loan Servicing, Payment integration, & API connectivity for various integrations for mortgage vendors (Plaid, Corelogic, DocMagic, Docusign, etc… & CRMs like hubspot, salesforce, etc… You need to manage input from our product owner/manager & CEO and assume overall responsibility for the execution of multiple, large-scale, mission critical initiatives. You will be accountable to a variety of primary business stakeholders for the quality and success of programs assigned to you. An acute sense of attention to detail is necessary. This role requires working with teams within and outside the USA. Flexibility in working hours will be required.

Key Responsibilities

Help plan, architect, & review various phases, features, bugs, & enhancements of the CRM, Loan Origination, & Loan Servicing platform & API connectivity hub

Introduce new tools and fresh insights to assist with development goals

Work on new features, enhancements, bugs & refactor code to MVC structure within the LendingWise platform

Requirements

Deep knowledge of Core PHP & other PHP frameworks, including strong experience with MVC patterns

JavaScript, HTML, Bootstrap

MySQL & Stored Procedures

Excellent skills in object-oriented programming and MVC design patterns

Comfortable working with SSH command line & GitHub version control, & PHP Storm

Solid knowledge of RESTful API endpoints

Multi-tenant CRM, ERP, Real Estate, Loan or FinTech Experience required

Compensation:

Competitive Salary & Bonuses

2 weeks paid time off annually

Flexible work schedule

Job Type: Full-time

Location:

Remote

We are building an AI-powered chatbot platform and looking for an AI/ML Engineer with strong backend skills as our first technical hire. You will be responsible for developing the core chatbot engine using LLMs, creating backend APIs, and building scalable RAG pipelines.

You should be comfortable working independently, shipping fast, and turning ideas into real product features. This role is ideal for someone who loves building with modern AI tools and wants to be part of a fast-growing product from day one.

Responsibilities

• Build the core AI chatbot engine using LLMs (OpenAI, Claude, Gemini, Llama etc.)

• Develop backend services and APIs using Python (FastAPI/Flask)

• Create RAG pipelines using vector databases (Pinecone, FAISS, Chroma)

• Implement embeddings, prompt flows, and conversation logic

• Integrate chatbot with web apps, WhatsApp, CRMs and 3rd-party APIs

• Ensure system reliability, performance, and scalability

• Work directly with the founder in shaping the product and roadmap

Requirements

• Strong experience with LLMs & Generative AI

• Excellent Python skills with FastAPI/Flask

• Hands-on experience with LangChain or RAG architectures

• Vector database experience (Pinecone/FAISS/Chroma)

• Strong understanding of REST APIs and backend development

• Ability to work independently, experiment fast, and deliver clean code

Nice to Have

• Experience with cloud (AWS/GCP)

• Node.js knowledge

• LangGraph, LlamaIndex

• MLOps or deployment experience

• Design and build applications/systems based on wireframes and product requirements documents
• Work on back-end & front-end development of core scripts using NodeJS/ MongoDB/React.js/Angular/Express /Redux.
• Unit test code for robustness, including edge cases, usability and general reliability
• Write reusable, easy to maintain, versioned code using DRY principles
• Integrate existing tools and business systems (in-house tools)
• Good exposure in creating dynamic web pages
• Familiarity with Server-Oriented Architecture and RESTful Web Services
• Mentor junior team members on system architecture, coding styles and inculcate an attitude of continuous improvement in the team members

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