Juniper Square is seeking a Technical Lead for AI Initiatives to lead architecture, design, and execution of advanced AI systems using LLM frameworks and multi-agent architectures. The role involves leading a team, collaborating with product and research teams, and shaping AI strategy and platform capabilities.

Company: Juniper Square

Role: Technical Lead, AI Initiatives - India

Location: India | Remote

Experience:

8+ years of software engineering experience with strong backend architecture skills
3+ years deep experience with LLMs, GPT models, agents, or advanced ML systems

Key Skills:

LLM frameworks
multi-agent architectures
RAG pipelines
Model Context Protocol (MCP) integrations
agent orchestration
vector databases
embedding pipelines
Python
TypeScript/Node.js
APIs
microservices
cloud platforms (AWS/GCP/Azure)
agent evaluation
reliability testing
model refinements

Qualification:

Bachelor’s/Master’s degree in Computer Science, Engineering, AI, or related field

Role Focus:

Design and implement multi-agent systems including orchestration, delegation, and tool interaction
Build scalable RAG architectures using vector databases and embedding pipelines
Integrate and extend MCP tools for model-tool communication and workflow automation
Lead development of AI-based features, prototypes, and production solutions using LLM APIs or self-hosted models
Architect and optimize prompt engineering, prompt chains, agent loops, and refinement pipelines
Implement and maintain agent evaluation frameworks including scenario tests and regression testing
Design automated evaluation harnesses for LLM quality, reliability, hallucination control, and performance metrics
Drive iterative improvements through A/B testing, reward models, and feedback loops
Monitor system performance, latency, cost, and reliability and implement optimization strategies
Lead and mentor engineers working on AI, data, and backend components
Collaborate with product managers, researchers, and cross-functional teams to align tech strategy with business outcomes
Conduct code reviews, enforce best practices, and maintain architectural standards
Own technical roadmaps, sprint planning, and engineering execution
Work with cloud platforms to deploy scalable AI services
Integrate vector databases such as Pinecone, Weaviate, Elasticsearch
Build APIs and microservices to expose AI capabilities to internal and external stakeholders
Maintain secure, compliant, and efficient data pipelines for ingestion and retrieval

Nice to have:

Experience fine-tuning LLMs
Experience with OpenAI API, Claude, or Azure OpenAI
Experience with distributed embeddings and high-throughput retrieval systems
Experience with MLOps frameworks
Knowledge of DevOps, CI/CD, containerization (Docker/Kubernetes)
Prior leadership experience managing small to mid-size engineering team

Other:

Company mission to unlock potential in private markets
Trusted by 2,300+ GPs with $300B+ under administration
JunieAI platform embedding intelligence across workflows
Founder-led since 2014 with $350M+ funding and 1,000+ employees
Culture values ownership, urgency, collaboration, transparency, and feedback
Flexible work options including fully remote and physical offices in San Francisco, New York City, Mumbai, and Bangalore
Digital-first operations across multiple countries

Technical Lead, AI Initiatives - India

Skills Required

Description