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SENIOR AI DESIGNER
A4I Lab
Bengaluru
6-8 years
Today
$49.4K–63.9K/yr
Contract
Onsite
Skills Required
LLM
RAG
LlamaIndex vector retrieval
Embeddings
Azure OpenAI
Mistral vLLM
Hugging Face
RAGAS
LangGraph
Python n8n
Description
A4I Lab is seeking a Senior AI Designer to design and scale agentic systems for public and social impact. The role combines hands-on architecture work with technical leadership across production AI platforms.
Company: A4I Lab (IIIT-B × Microsoft)
Role: SENIOR AI DESIGNER
Location: IIIT Bangalore
Experience
- 6 to 8 years of experience
- At least 2 years focused on production AI or ML applications
- Experience designing and building software systems
- Experience designing and shipping production-grade AI systems
- Experience with at least one end-to-end agentic or LLM-powered workload used by real users
Qualification
- Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, or equivalent demonstrated expertise
- Master’s degree in Computer Science, Electrical Engineering, Mathematics, or equivalent demonstrated expertise
Responsibilities
- Design end-to-end agentic AI architectures from prototype to production
- Translate social-impact use cases into robust, auditable systems
- Build AI platforms that integrate LLMs, retrieval systems, structured and unstructured data, and multi-modal inputs
- Guide design of RAG pipelines, knowledge layers, model integration patterns, and evaluation approaches
- Define architectural standards for deployment, monitoring, versioning, and secure rollout
- Help establish engineering and MLOps practices for production readiness
- Work closely with engineers, researchers,
and partner stakeholders on technical decisions and trade-offs
- Mentor team members and support strong technical documentation
- Build reusable open-source assets for Digital Public Goods
Additional Responsibilities
- Work in multilingual and low-resource environments
- Support real-world operating conditions and diverse stakeholder needs
- Remain closely connected to delivery and implementation
- Work across multiple stakeholders and use cases
- Balance performance, cost, resilience, usability, maintainability, team velocity, and long-term platform evolution
Nice To Have
- Experience adapting smaller or open models such as Llama, Mistral, or Phi for domain-specific tasks
- PEFT
- LoRA
- Instruction tuning
- Hands-on exposure to VLMs
- Hands-on exposure to speech models
- Experience with multilingual or Indic-language pipelines
- Familiarity with Azure OpenAI services
- Familiarity with open-source deployment options such as Ollama, vLLM, or Hugging Face
- Prior work in social impact, public sector, or resource-constrained settings
- Experience with AI evaluation frameworks such as RAGAS or LangSmith
- Contributions to open-source AI projects
- Technical publications
- Applied ML work
More Skills
Agentic AI systems, Retrieval systems, Context management, Evaluation,
Cloud platforms, Azure, AWS, GCP, Containerization, CI/CD, Model lifecycle practices, Operational monitoring, Multi-modal inputs, Speech, Documents, Vision, MLOps, Technical documentation, Knowledge layers, Model integration patterns
Other
- Organization: A4I Lab (IIIT-B × Microsoft)
- Type: Contract through March 2027, extendable
- A4I is a partnership between Microsoft and IIIT-B with non-profit partners
- Focus areas include education, healthcare, accessibility, and agriculture
- Innovations are evolved into open-source Digital Public Goods deployable at scale
- The role is a hands-on architecture role with meaningful technical leadership
- A4I Lab encourages applications from candidates of all backgrounds, disciplines, and geographies
Prepare for this role
Recommended resources to build the skills for this position. Sponsored.
Generative AI with Large Language Models
Coursera
Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.
Python for Everybody Specialization
Coursera
Learn Python from scratch — variables, data structures, web scraping, and databases.
Python 3 Programming Specialization
Coursera
Intermediate Python covering classes, inheritance, APIs, and data processing.
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