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bluebenz digitizations

Senior AI EngineerGenAI &middot; Conversational AI &middot; Voice &amp; Chat Bots &middot; LLM Integration &middot; Solution ArchitectureABOUT THE ROLE<ul><li>We are a data and AI services firm seeking a Senior AI Engineer to lead the design and delivery of intelligent,</li><li>conversational, and agentic AI solutions for our clients. This is a hands-on, client-facing engineering role &mdash; you</li><li>will architect and build production-grade GenAI applications, voice and chat bots, and LLM-powered integrations</li><li>across a variety of industries and technology stacks.</li><li>You will be the technical authority on AI engagements &mdash; owning solution architecture, driving LLM selection and</li><li>fine-tuning decisions, and integrating AI capabilities into existing client systems. You will work closely with clients</li><li>through presales, discovery, and delivery, and will mentor junior engineers within the Data Practice.</li></ul>KEY RESPONSIBILITIESConversational AI &mdash; Chat &amp; Voice Bots▸ Design and deliver production-ready chatbots and voicebots for client-facing and internal enterprise usecases.▸ Build real-time voice AI pipelines using LiveKit &mdash; handling audio streaming, VAD (voice activity detection),STT/TTS integration, and turn management.▸ Architect multi-turn, context-aware conversational flows with robust fallback handling and session statemanagement.▸ Integrate speech-to-text (Whisper, Azure Speech, Deepgram) and text-to-speech (ElevenLabs, Azure TTS,OpenAI TTS) providers based on client requirements.▸ Ensure low-latency, high-availability voice and chat deployments suitable for customer-facing productiontraffic.LLM Integration &amp; Orchestration▸ Build LLM-powered applications using LangChain, LangGraph, and LlamaIndex &mdash; including RAGpipelines, agents, and tool-calling workflows.▸ Integrate OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, and open-source models (Llama,Mistral, Phi) based on cost, latency, and compliance needs.▸ Design and implement Retrieval-Augmented Generation (RAG) systems with vector stores (Pinecone,Weaviate, pgvector, Azure AI Search).▸ Build and manage AI agent frameworks &mdash; autonomous agents, multi-agent workflows, and human-in-the loop patterns.▸ Develop prompt engineering strategies, prompt templates, and evaluation pipelines for consistent, reliableLLM output.Fine-Tuning &amp; Model Customisation▸ Fine-tune open-source LLMs (Llama 3, Mistral, Phi-3) using techniques such as LoRA, QLoRA, and PEFTfor domain-specific use cases.▸ Manage fine-tuning pipelines end-to-end &mdash; dataset curation, preprocessing, training, evaluation, andmodel registry management.▸ Implement RLHF / DPO alignment techniques where applicable to align model outputs with clientexpectations.▸ Benchmark model performance using standardised and custom evaluation suites; iterate based on results.Solution Architecture &amp; Client Engagement▸ Own AI solution architecture for client engagements &mdash; selecting the right models, frameworks, andinfrastructure patterns for each use case.▸ Participate in presales &mdash; contribute to proposals, solution briefs, PoCs, and effort estimations for AIprojects.▸ Lead client discovery sessions, translating ambiguous business requirements into concrete, executable AIsolution designs.▸ Present architecture decisions and technical recommendations clearly to both technical and non-technicalclient stakeholders.▸ Handle multiple client engagements simultaneously, managing delivery timelines and technical qualityacross projects.Integration &amp; Production Engineering▸ Integrate AI capabilities into client systems via REST APIs, webhooks, and event-driven architectures.▸ Deploy AI services on cloud platforms (Azure, AWS, GCP) using containerised (Docker, Kubernetes) andserverless patterns.▸ Implement observability for AI systems &mdash; tracing, logging, hallucination detection, and LLM performancemonitoring (LangSmith, Arize, Helicone).▸ Ensure AI systems meet security, compliance, and data privacy standards &mdash; including PII handling, dataresidency, and responsible AI guardrails.▸ Build CI/CD pipelines for model deployment, versioning, and rollback in production environments.Mentorship &amp; Practice Development▸ Mentor junior and mid-level AI engineers, conducting code reviews and guiding best practices in LLMapplication development.▸ Contribute to internal AI accelerators, reusable templates, and knowledge-sharing initiatives within thepractice.▸ Stay current with rapidly evolving GenAI research and tooling; evaluate and advocate for adoption ofrelevant advances.REQUIRED SKILLS &amp; TECHNOLOGIESPython LangChain / LangGraph LlamaIndexLiveKit OpenAI / Azure OpenAI Anthropic ClaudeRAG Pipelines Vector Databases LLM Fine-Tuning (LoRA / QLoRA)Prompt Engineering AI Agents &amp; Orchestration Chat Bot DevelopmentVoice Bot Development STT / TTS Integration REST API IntegrationDocker / Kubernetes Azure / AWS / GCP Solution ArchitectureHugging Face Transformers Responsible AI &amp; Guardrails LLM ObservabilityNICE TO HAVEMicrosoft Copilot Studio Semantic Kernel AutoGen / CrewAIDeepgram / ElevenLabs LangSmith / Arize / Helicone MLflow / BentoMLGoogle Gemini / Vertex AI Multimodal AI (Vision + Audio) GraphRAGEXPERIENCE &amp; QUALIFICATIONS▸ 5+ years of software engineering experience, with at least 2&ndash;3 years focused on AI/ML and GenAIapplication development.▸ Hands-on experience building and deploying LLM-based applications in production &mdash; RAG systems,agents, chatbots, or voicebots.▸ Strong Python skills; comfortable with async programming, API design, and working across multipleframeworks simultaneously.▸ Demonstrable experience with real-time voice AI pipelines or streaming audio applications (LiveKit,WebRTC, or equivalent).▸ Experience with at least one major cloud platform (Azure preferred) and containerised deployment.▸ Prior experience in a services, consulting, or agency environment &mdash; managing client relationships anddelivery across multiple projects.▸ Strong communication skills &mdash; able to explain complex AI concepts to non-technical stakeholders clearlyand credibly.▸ Bachelor's or Master's degree in Computer Science, AI/ML, or related field &mdash; or equivalent practicalexperience.▸ Azure AI / OpenAI certifications or equivalent are a plus.Please share your candidature at prerna.gavale@bluebenz.comWork Location: In person

Senior AI Engineer

Join bluebenz digitizations and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

bluebenz digitizations

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Senior AI Engineer