• End-to-End Voice Architecture: Design, build, and optimize scalable pipelines integrating Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and LLMs for ultra-low latency (less than 1.5s perceived response time) voice bots.
• Agentic Framework Design: Develop and deploy multi-agent orchestration workflows that allow bots to reason, call external APIs, query databases dynamically, and execute complex business logic during live conversations.
• State & Context Management: Implement robust dialog management and context retention systems, ensuring the bot can handle interruptions, digressions, and multi-turn conversations without losing track.
• Backend & API Integration: Build highly performant backends to connect conversational interfaces with enterprise CRMs, databases, and third-party systems using robust API architectures.
• Evaluation & Optimization: Set up continuous evaluation frameworks to monitor bot performance, natural language understanding (NLU) accuracy, voice latency, and fallback rates, iteratively tuning prompts and fine-tuning models to improve user experience.

Technical Profile & Requirements

1. Conversational Voice AI Expertise (Primary)

• Deep understanding of Telephony & WebRTC integration (e.g., Twilio, LiveKit, Vapi, Daily.co) for streaming audio.
• Hands-on experience optimizing ASR (Speech-to-Text) engines (Deepgram, Whisper, AssemblyAI) for real-time streaming, noise filtering, and accents.
• Experience with advanced TTS (Text-to-Speech) systems (ElevenLabs, Cartesia, OpenAI Voice) focusing on emotional inflection, prosody, and low-latency audio synthesis.
• Familiarity with handling voice-specific challenges like barge-in management (handling user interruptions mid-speech) and silence detection.

2. Generative AI & Agentic Workflows

• Expertise in orchestrating LLMs (OpenAI GPT-4o, Claude 3.5 Sonnet, open-source Llama models) for conversational tasks.
• Proficiency in frameworks like LangChain, LangGraph, or CrewAI to build autonomous, tool-using AI agents.
• Advanced knowledge of RAG (Retrieval-Augmented Generation) techniques and Vector Databases (e.g., Pinecone, pgvector, Milvus) for grounding bot responses in specific datasets.

3. Core Engineering Stack

• Languages: Strong mastery of Python (for AI framework integration and data processing).
• Backend Frameworks: Experience building asynchronous APIs using FastAPI or robust backend architectures using modern web frameworks.
• Databases: Proficiency in both relational databases (MySQL, PostgreSQL) and NoSQL systems for state persistence and logging.
• Streaming Protocols: Solid understanding of WebSockets and gRPC for bidirectional, real-time data streaming.

4. Soft Skills & Best Practices

• Conversation Design Mindset: Ability to collaborate on structuring natural, empathetic, and efficient prompt designs that avoid robotic, cyclical loops.
• Production Discipline: Experience with CI/CD, containerization (Docker), logging/observability tools (LangSmith, Arize, or Prometheus), and managing AI infrastructure at scale.

We are seeking a dynamic and detail-oriented Business Analyst to join our software development team. The ideal candidate will act as the bridge between clients, stakeholders, and developers to ensure that business requirements are clearly understood and successfully translated into functional and technical solutions. This role requires excellent analytical skills, strong communication abilities, and a keen understanding of software development processes.

Key Responsibilities: Requirement Gathering and Analysis

Collaborate with clients and stakeholders to understand business needs and objectives.Conduct detailed requirement gathering sessions through interviews, workshops, and documentation reviews Analyze and prioritize business requirements to ensure alignment with project goals.

Documentation and Communication

Develop clear, concise, and detailed Business Requirement Documents (BRDs) and Functional Specification Documents (FSDs). Communicate requirements effectively to development teams, ensuring clarity and understanding. Create process flow diagrams, wireframes, and prototypes as needed to support requirement clarity.

Coordination with Development Teams

Work closely with developers to translate business needs into technical specifications. Facilitate discussions between development teams and stakeholders to resolve ambiguities. Monitor progress to ensure development aligns with specified requirements.

Testing and Validation

Collaborate with QA teams to create test cases and validate functionality against business requirements. Conduct User Acceptance Testing (UAT) with stakeholders to ensure the solution meets their expectations.

Project Support and Stakeholder Management

Act as a point of contact for stakeholders throughout the project lifecycle. Provide regular updates on project status, risks, and dependencies. Support post-implementation activities, including training and issue resolution.

– Guide cross-functional teams (dev, data, design) to deliver client-specific requirements on time and at scale.

– Conduct data analysis using Python and ML tools to inform product roadmaps and optimize features.

– Collaborate with business development on client meetings, demos, and pitches to translate needs into actionable products.

– Stay ahead of AI trends (e.g., agentic AI, neural networks) to innovate and prioritize features.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, IT, or related field.
• Proficiency in React.js (18+), JavaScript (ES6+), HTML5, CSS3, and modern bundlers (Vite/Webpack).
• Hands-on experience consuming APIs (Axios/Fetch) in business contexts like inventory management, CRM, or real estate portals.
• Familiarity with state management, performance optimization, and secure coding practices.
• Experience with version control (Git/GitLab) and agile methodologies.
• Strong problem-solving skills with a portfolio of business app UIs (GitHub/Behance links preferred).

* Lead and mentor a team of developers to ensure timely and high-quality project delivery.
* Design, Develop, Test and Deploy scalabe applications
* Manage Git repositories, resolve merge conflicts, and enforce branching strategies.
* Design, implement, and maintain CI/CD pipelines for seamless deployments to UAT and Production environments using tools like Jenkins, GitLab CI, or GitHub Actions.
* Guide the team on coding standards, code reviews, and best practices across React frontends, Kotlin/Android backends, Laravel PHP APIs, Python scripts, and databases (MySQL/PostgreSQL).
* Collaborate with UI/UX designers, product managers and QA teams to deliver seamless user experiences.
* Stay ahead of current technologies and integrate emerging tools into workflows.
* Troubleshoot production issues, optimize performance (e.g., database queries in PostgreSQL/MySQL), and ensure system reliability.
* Collaborate with stakeholders on technical roadmaps and provide hands-on development when needed.
* WordPress proficiency for custom plugin/theme development is a plus.