Senior Vice President – Crypto Exchange Operations

Role Purpose:

To handle day-to-day HR activities and support smooth people operations in the company.

Key Responsibilities

• Handle recruitment: sourcing, calling, scheduling interviews
• Support onboarding and employee joining formalities
• Maintain employee records and HR documents
• Track attendance, leave, and basic payroll support
• Coordinate with department heads for HR requirements
• Support employee engagement activities
• Assist in handling employee issues and grievances
• Ensure HR policies are followed

We are seeking an experienced AI Architect to design, build, and scale production-ready AI voice conversation agents deployed locally (on-prem / edge / private cloud) and optimized for GPU-accelerated, high-throughput environments.

You will own the end-to-end architecture of real-time voice systems, including speech recognition, LLM orchestration, dialog management, speech synthesis, and low-latency streaming pipelines—designed for reliability, scalability, and cost efficiency.

This role is highly hands-on and strategic, bridging research, engineering, and production infrastructure.

Key Responsibilities

Architecture & System Design

• Design low-latency, real-time voice agent architectures for local/on-prem deployment
• Define scalable architectures for ASR → LLM → TTS pipelines
• Optimize systems for GPU utilization, concurrency, and throughput
• Architect fault-tolerant, production-grade voice systems (HA, monitoring, recovery)

Voice & Conversational AI

• Design and integrate:
• Automatic Speech Recognition (ASR)
• Natural Language Understanding / LLMs
• Dialogue management & conversation state
• Text-to-Speech (TTS)
• Build streaming voice pipelines with sub-second response times
• Enable multi-turn, interruptible, natural conversations

Model & Inference Engineering

• Deploy and optimize local LLMs and speech models (quantization, batching, caching)
• Select and fine-tune open-source models for voice use cases
• Implement efficient inference using TensorRT, ONNX, CUDA, vLLM, Triton, or similar

Infrastructure & Production

• Design GPU-based inference clusters (bare metal or Kubernetes)
• Implement autoscaling, load balancing, and GPU scheduling
• Establish monitoring, logging, and performance metrics for voice agents
• Ensure security, privacy, and data isolation for local deployments

Leadership & Collaboration

• Set architectural standards and best practices
• Mentor ML and platform engineers
• Collaborate with product, infra, and applied research teams
• Drive decisions from prototype → production → scale

Required Qualifications

Technical Skills

• 7+ years in software / ML systems engineering
• 3+ years designing production AI systems
• Strong experience with real-time voice or conversational AI systems
• Deep understanding of LLMs, ASR, and TTS pipelines
• Hands-on experience with GPU inference optimization
• Strong Python and/or C++ background
• Experience with Linux, Docker, Kubernetes

AI & ML Expertise

• Experience deploying open-source LLMs locally
• Knowledge of model optimization:
• Quantization
• Batching
• Streaming inference
• Familiarity with voice models (e.g., Whisper-like ASR, neural TTS)

Systems & Scaling

• Experience with high-QPS, low-latency systems
• Knowledge of distributed systems and microservices
• Understanding of edge or on-prem AI deployments

Preferred Qualifications

• Experience building AI voice agents or call automation systems
• Background in speech processing or audio ML
• Experience with telephony, WebRTC, SIP, or streaming audio
• Familiarity with Triton Inference Server / vLLM
• Prior experience as Tech Lead or Principal Engineer

What We Offer

• Opportunity to architect state-of-the-art AI voice systems
• Work on real-world, high-scale production deployments
• Competitive compensation and equity (if applicable)
• High ownership and technical influence
• Collaboration with top-tier AI and infrastructure talent

Job Description - Senior AI Engineer

We are seeking an experienced Senior AI Engineer to join our dynamic team, driving

innovation in AI-driven solutions with a global impact. This role is specifically tailored for

a highly motivated professional with a strong technical background in Python and Java,

hands-on expertise in developing Retrieval-Augmented Generation (RAG)-based

chatbots, Machine Learning, Deep Learning, and solid cloud deployment experience,

preferably on AWS. As our Senior AI Engineer, you will spearhead the end-to-end

development lifecycle, including solution architecture, design, implementation,

deployment, and scaling of cutting-edge AI applications. Your leadership will ensure the

delivery of high-performance, reliable, and impactful solutions.

What You Will Do:

• Lead the design and development of AI-driven applications, particularly focusing on

RAG based chatbot solutions.

• Architect robust solutions leveraging Python and Java to ensure scalability, reliability,

and maintainability.

• Deploy, manage, and scale AI applications using AWS cloud infrastructure, optimizing

performance and resource utilization.

• Collaborate closely with cross-functional teams to understand requirements, define

project scopes, and deliver solutions effectively.

• Mentor team members, providing guidance on best practices in software

development, AI methodologies, and cloud deployments.

• Ensure solutions meet quality standards, including thorough testing, debugging,

performance tuning, and documentation.

• Continuously research emerging AI technologies and methodologies to incorporate

best practices and innovation into our products

Requirements

Required Skills & Qualifications

• Bachelor's or master's degree in computer science, Engineering, Data Science,

Mathematics, Statistics or related fields.

• At least 3 years of professional experience in AI/Machine Learning engineering.

• Strong programming skills in Python and Java.

• Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)-

based chatbots or similar generative AI applications.

• Proficiency in cloud platforms, particularly AWS, including experience with EC2,

Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway.

• Solid understanding of AI methodologies, including natural language processing (NLP),

vector databases, embedding models, and large language model integrations.

• Experience with leading projects or teams, managing technical deliverables, and

ensuring high-quality outcomes.

Preferred Qualifications:

• AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty).

• Familiarity with popular AI/ML frameworks and libraries such as Hugging Face

Transformers, TensorFlow, PyTorch, LangChain, or similar.

• Experience in Agile development methodologies.

• Excellent communication skills, capable of conveying complex technical concepts

clearly and effectively.

• Strong analytical and problem-solving capabilities, with the ability to navigate

ambiguous technical challenge

Senior Software Engineer I

Primary Responsibilities

• Designs, codes, debugs, optimizes, and releases both frontend and backend components as well as internal tools.
• Performs code reviews of pull requests.
• Assists junior engineers with development and SDLC processes.
• Works closely with QA analysts for feature and regression testing.
• Writes and maintains unit, integration, and acceptance tests.
• Helps select and incorporate new tools and technologies.
• Drives continuous improvement of best practices within the development team.
• Identifies and recommends where increased automation, performance enhancements, application enhancements, and quality enhancements may be incorporated.
• Remains flexible and responsive to changing priorities and multiple, concurrent responsibilities.
• Keeps current with emerging technologies and technological developments within the industry.

Education & Experience

·      Level of Formal Education:

o  Bachelors or 5 years of professional experience

·      Area of Study:

o  Computer Science or related field

·      Years of Experience:

o  5+ years

·      Type of Experience:

o  Software Engineering

·      Special Certifications or Technical Skills:

o  n/a

·      Information Systems:

o  C#, .NET Framework, JavaScript, SQL Server

·      Technical Competencies:

o  n/a

·      Skills and Ability:

o  C# (or similar language)

o  JavaScript / Node.js

o  SQL Server (or similar relational database management system)

o  Object-oriented design

o  Unit, integration, & acceptance testing

o  Git (or similar version control system)

·      Personal Attributes:

o  Accountable, analytical, methodical, strategic, situational awareness

·      Other/Preferred:

o  Full Stack Development experience

o  Experience or interest in learning:

§ REST web services / microservice architecture

§ Continuous integration & continuous delivery

§ Behavior-driven development

§ GraphQL

§ Docker containers

§ Cloud technologies (e.g. serverless architecture / AWS Lambda)

Desired Candidate Profile

• Graduation is a must
• Relevant work experience of 4-5 years in Business Development is required
• Previous work experience in dealing with pharma companies is a must
• Outstanding communication and professional networking skills
• Excellent presentation, negotiation and interpersonal skills
• High ownership and problem-solving ability is a must

Job Description:-

• Develop and execute recruiting plans.
• Network through industry contacts, association memberships, trade groups, social media, and employees.
• Develop and track goals for the recruiting and hiring process.
• Coordinate and implement college recruiting initiatives.
• Handle administrative duties and recordkeeping.
• Collect data on cost per hire and time-to-hire.
• Screen applicants to evaluate if they meet the position requirements.
• Work with hiring managers to create job descriptions.
• Conduct regular follow-up with managers to determine the effectiveness of recruiting plans and implementation.

• Develop a pool of qualified candidates in advance of need.
• Research and recommend new sources for active and passive candidate recruiting.
• Advertise job openings on the company’s careers page, social media, job boards and internally.

Requirements

• Proven work experience as an HR Recruiter or similar role.
• Familiarity with Applicant Tracking Systems and resume databases.
• Experience with sourcing techniques.
• Understanding of referral programs.
• Solid verbal and written communication skills.
• Sound judgement.