Implementation Engineer

Job Overview:

We are looking for a skilled Full Stack Developer with strong expertise in .NET/C#, React or Angular, and Azure basics to design, develop, and deploy modern web applications. The ideal candidate should have solid experience building scalable, secure, and high-performance solutions, with a passion for clean code and collaboration.

Key Responsibilities:

• Design, develop, and maintain web applications using C#, .NET Core, and SQL Server.
• Build responsive front-end user interfaces using React or Angular with TypeScript.
• Integrate and consume RESTful APIs and ensure smooth front-end/back-end communication.
• Deploy and manage applications on Microsoft Azure using basic PaaS services (e.g., App Services, Functions, Storage, Key Vault).
• Collaborate with cross-functional teams to gather requirements, define architecture, and deliver solutions.
• Write clean, testable, and maintainable code following best practices and participate in code reviews.
• Troubleshoot, debug, and optimize application performance.
• Follow Agile development practices for planning, testing, and delivery.

Required Skills and Experience:

• Strong hands-on experience with C#, .NET Core/.NET 6+, and object-oriented programming.
• Proficiency in front-end frameworks like React or Angular with TypeScript, HTML, and CSS.
• Experience working with SQL Server or other relational databases.
• Basic knowledge of Microsoft Azure services such as App Services, Functions, Storage, and Key Vault.
• Familiarity with REST APIs, version control systems (e.g., Git), and CI/CD pipelines.
• Good understanding of software development best practices (SOLID principles, unit testing).
• Strong problem-solving and communication skills.

Preferred Qualifications:

• Experience with Azure DevOps or similar tools for build and release pipelines.
• Exposure to containerized applications (e.g., Docker, Kubernetes).
• Knowledge of Agile methodologies (Scrum or Kanban).

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

Responsibilities

• Work in a fun and fast-paced environment.
• Participate in requirements gathering, design, development, QA, support.
• Communicate with different stakeholders such as QA, Project Managers and Product Owners
• Discover, evaluate, and implement new technologies to maximize development efficiency.
• Groom, mentor and upskill team members with modern technologies and development practices

Key Competencies:

• 5-8 Years of relevant experience in front-end development.
• At least 5-4 years of working experience with the React ecosystem.
• In-depth knowledge of TypeScript, CSS, and HTML.
• Strong proficiency in Vanilla JavaScript, DOM, Browser API’s and ES6 Features.
• Strong Knowledge of State Management with React and relevant workflows.
• Good Understanding of Modern frontend workflows with NPM, Webpack, Babel etc.
• Knowledge of modern programming paradigms like functional and reactive programming.
• Knowledge of testing frameworks including Chai, Mocha and Sinon or equivalent.
• Experience with using browser-based dev tools for trouble shooting and enhancing the performance.

Good to have skills:

• Knowledge of cloud-based services like AWS and GCP.
• Working knowledge of Video streaming and playback
• Knowledge of modern programming paradigms like functional and reactive programming.

Responsibilities :

• Involve in planning, design, development and maintenance of large-scale data repositories, pipelines, analytical solutions and knowledge management strategy
• Build and maintain optimal data pipeline architecture to ensure scalability, connect operational systems data for analytics and business intelligence (BI) systems
• Build data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
• Reporting and obtaining insights from large data chunks on import/export and communicating relevant pointers for helping in decision-making
• Preparation, analysis, and presentation of reports to the management for further developmental activities
• Anticipate, identify and solve issues concerning data management to improve data quality

Requirements :

• Ability to build and maintain ETL pipelines 
• Technical Business Analysis experience and hands-on experience developing functional spec
• Good understanding of Data Engineering principles including data modeling methodologies
• Sound understanding of PostgreSQL
• Strong analytical and interpersonal skills as well as reporting capabilities

• Own and implement features used by large customers like Truecaller, Mozilla, Zomato, Netflix, etc.
• Performance, Security and Usability goals are in DNA.
• Full ownership and accountability of Microservices which includes day-to-day operations and maintenance.
• Business and technical Metric definitions and reviews.
• Drive CI & CD Evaluate technologies and development stacks for API-based platform which scales to 100,000 transactions per second.
• Perform push-button deployments of any version of the software to any environment on demand.
• Design and build web apps that are scalable and puts user experience front and center.
• Develop modular UI components for company-wide reuse.
• Evolve a common design language for UI across apps.
• Establish and advocate front-end coding guidelines.
• Meld UX and great-looking UI while keeping excellent code quality.
• Own end-to-end life cycle of the product from requirement analysis, design, development, test, release, and maintenance.
• Develop reusable tools/libraries
• Identify opportunities for automation and collaboration points.
• Continuously improve cycle time, throughput, and code quality.
• Continuously improve value-adding-activities/non-value-adding activities ratio.

• 4 - 6 years of experience in large-scale distributed systems.
• Proficient in Python/Golang/Java/ http://node.js/">Node.js 
• Understanding of CSS, Advanced Javascript, http://vue.js/">Vue.js, http://react.js/">React.js, and other web technologies.
• Understanding of Rest based API Architecture
• Writing high-performance, reliable and maintainable code.  
• Excellent microservices pattern understanding.  
• Ability to define cross-core contracts and bring them to closure through collaboration.
• Good knowledge of database structures, theories, principles, and practices.  
• Experience working with AWS components [EC2, S3, RDS, SQS, ECS, Lambda].
• Analytical and problem-solving skills  
• Good aptitude in multi-threading and concurrency concepts.  
• Working knowledge of Git and proficiency with at least one build server: Jenkins/Travis/Bamboo.
• Good to have a telecom background

• Prior experience with one or more of the following:
  1. Enterprise technology teams
  2. Technology consulting
  3. A pre-sales or post-sales role
• Experience working on client facing engagements.
• Engineering experience with strong understanding of software engineering fundamentals and ability to pick up new technology stacks.
• Creative problem-solving skills.
• Ability to think strategically and co-create long term vision for Hasura deployments with enterprise team leads and executives.
• Very good written & spoken communication skills in English.
• For positions in the US: Willingness to travel within the US (and occasionally abroad). All expenses will be covered.

• Prior experience in a developer tools company.
• Experience working with any of the following technologies:
  1. GraphQL
  2. Docker
  3. Kubernetes
  4. Postgres
  5. Frontend frameworks such as React, Angular, Javascript
• Experience with any of the following:
  1. Setting up and maintaining CI/CD pipelines
  2. Setting up and maintaining test suites
  3. Setting up and managing infrastructure
  4. Database admin