AI Architect - Custom LLM & Agent Development

5 years

0 Lacs

Posted:5 days ago| Platform: Linkedin logo

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Remote

Job Type

Full Time

Job Description

Job Title: AI Architect - Custom LLM & Agent Development

Required Years of Experience:

Location:


Position Overview:

We are seeking an exceptional AI Architect to lead the design and development of cutting-edge AI solutions, specializing in custom Large Language Models (LLMs), intelligent agent systems, and advanced AI tooling. This role requires deep expertise in modern AI frameworks, custom model development, and architecting scalable LLM-powered applications.


Key Responsibilities:


AI Architecture & Strategy

  1. Design and architect end-to-end LLM applications and AI-powered systems
  2. Define technical roadmaps for custom AI solution development
  3. Establish best practices and architectural patterns for LLM integration
  4. Evaluate and recommend emerging AI technologies and frameworks
  5. Lead technical decision-making for AI infrastructure and tooling


Custom LLM & Speech Model Development

  1. Design, train, and fine-tune custom Large Language Models for specific use cases
  2. Build and optimize custom Speech-to-Text (STT) models using Whisper, Wav2Vec2, and other architectures
  3. Implement model optimization techniques including quantization, pruning, and distillation
  4. Develop custom tokenizers, embeddings, and model architectures for both text and speech
  5. Create evaluation frameworks and benchmarking systems for model performance
  6. Implement advanced techniques like RLHF, RAG, and multi-modal capabilities

Agent & Tool Development

  1. Architect and develop sophisticated AI agents using LangChain and related frameworks
  2. Design custom AI tools and integrations for specific business requirements
  3. Build Model Context Protocol (MCP) servers for seamless AI tool connectivity
  4. Implement agentic workflows with complex reasoning and decision-making capabilities
  5. Create reusable agent templates and component libraries


Technical Leadership

  1. Lead cross-functional teams in AI project delivery
  2. Mentor junior developers and AI engineers
  3. Conduct technical reviews and ensure code quality standards
  4. Collaborate with product teams to translate business requirements into technical solutions
  5. Drive innovation in AI development practices and methodologies


Platform & Infrastructure

  1. Design scalable AI infrastructure for model serving and deployment
  2. Implement MLOps pipelines for model lifecycle management
  3. Optimize inference performance and cost efficiency
  4. Ensure security, privacy, and compliance in AI system design
  5. Build monitoring and observability solutions for AI applications


Required Qualifications:


Technical Expertise

  1. Advanced Python Development

    : Expert-level proficiency with 5+ years of experience
  2. NLP Specialization

    : Deep expertise in natural language processing, text analytics, and language understanding
  3. Speech-to-Text Models

    : Experience building custom STT systems using Whisper, Wav2Vec2, SpeechT5, or similar
  4. LLM Frameworks

    : Deep expertise in LangChain, LangGraph, and similar frameworks
  5. Model Development

    : Experience with PyTorch, Transformers, and custom model training
  6. AI Platforms

    : Proficiency with OpenAI, Anthropic, Google AI, and open-source models
  7. MCP Protocol

    : Experience with Model Context Protocol server development
  8. Audio Processing

    : Knowledge of audio preprocessing, feature extraction, and signal processing
  9. Vector Databases

    : Working knowledge of Pinecone, Weaviate, ChromaDB, or similar
  10. Cloud Platforms

    : Experience with AWS, GCP, or Azure AI services

AI/ML Skills:

  1. Strong understanding of transformer architectures and attention mechanisms
  2. Experience with fine-tuning techniques (LoRA, QLoRA, full fine-tuning)
  3. NLP Expertise

    : Advanced knowledge of tokenization, named entity recognition, sentiment analysis, and text classification
  4. Speech Processing

    : Experience with audio feature extraction, mel-spectrograms, and acoustic modeling
  5. Knowledge of prompt engineering and optimization strategies
  6. Familiarity with reinforcement learning from human feedback (RLHF)
  7. Understanding of retrieval-augmented generation (RAG) architectures
  8. Experience with multi-modal AI systems (text, speech, image)
  9. Language Models

    : Experience with BERT, GPT, T5, and domain-specific language models

Software Architecture:

  1. Proven experience in designing large-scale distributed systems
  2. Strong API design and microservices architecture skills
  3. Experience with containerization (Docker, Kubernetes)
  4. Knowledge of event-driven architectures and message queuing
  5. Understanding of database design and optimization


Leadership & Communication

  1. 7+ years of software development experience with 3+ years in AI/ML
  2. Track record of leading technical teams and complex projects
  3. Excellent communication skills for both technical and non-technical stakeholders
  4. Experience mentoring and developing junior team members
  5. Strong problem-solving and analytical thinking abilities


Preferred Qualifications:

Advanced AI Knowledge

  1. PhD (Optional) or Master's in Computer Science, AI, NLP, or related field
  2. Published research in AI/ML, NLP, or speech processing conferences or journals
  3. Experience with custom model architectures and novel AI techniques
  4. Speech & Language Specialization

    : Deep understanding of phonetics, linguistics, and speech recognition algorithms
  5. Knowledge of AI safety, alignment, and responsible AI practices
  6. Familiarity with edge AI and mobile deployment strategies
  7. Experience with multilingual and cross-lingual NLP systems


Technical Depth

  1. Experience with GPU programming (CUDA) and optimization
  2. Knowledge of distributed training and model parallelism
  3. Audio Processing Libraries

    : Proficiency with librosa, torchaudio, SpeechBrain, and ESPnet
  4. Familiarity with AI accelerators (TPUs, custom chips)
  5. Understanding of compiler technologies for AI (TensorRT, ONNX)
  6. Experience with real-time AI systems and streaming architectures
  7. NLP Libraries

    : Advanced knowledge of spaCy, NLTK, Transformers, and custom NLP pipelines


Industry Experience

  1. Previous experience in AI-first companies or research labs
  2. Track record of shipping AI products to production
  3. Experience with regulatory compliance in AI systems
  4. Knowledge of AI ethics and bias mitigation strategies
  5. Familiarity with intellectual property considerations in AI


What We Offer

  1. Opportunity to work with cutting-edge AI technologies
  2. Access to substantial compute resources for experimentation
  3. Conference attendance and continuous learning budget
  4. Collaborative environment with world-class AI researchers and engineers
  5. Flexible work arrangements and comprehensive benefits
  6. Direct impact on product direction and technical strategy


Application Requirements:

Please include:

  1. Detailed portfolio of AI projects and contributions
  2. Examples of custom LLM implementations or agent systems
  3. Links to relevant GitHub repositories or publications
  4. Brief explanation of your most impactful AI architecture decisions
  5. Vision for the future of LLM applications and agent systems


  • We are an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, or disability status.

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