AI/LLM DELIVERY PROJECT MANAGER (ZOOLOGY)

Mindtel; India; Remote; INR 2,500,000 - 4,500,000; Full time

Benefits offered by this job

100% remote

Flexible hours

Learning stipend

Job summary

Mindtel is seeking a senior AI delivery lead to steer end-to-end LLM projects in zoological research. You will translate domain requirements into scalable AI workflows, coordinate data scientists and NLP engineers, and ensure timely, on-budget delivery through Agile practices.

You will oversee prompt engineering, RAG architecture, and vector database design, aligning with taxonomy data models, while maintaining ethical AI standards and scientific interpretability.

Qualifications

• Project management using Agile/Scrum with Jira/Confluence.
• Experience across AI/LLM lifecycle: prompt engineering, RAG, fine-tuning, evaluation.
• Hands-on with vector databases like FAISS, Pinecone, Chroma.
• Familiarity with LangChain, LlamaIndex, Hugging Face toolchains.
• Basic understanding of zoological taxonomy or biodiversity datasets.
• Stakeholder management for scientific/academic teams.

Responsibilities

• Lead end-to-end AI/LLM project delivery for zoological use cases.
• Translate zoological requirements into AI workflows with cross-functional teams.
• Manage remote teams, set sprint priorities, track milestones, ensure on-time, on-budget delivery.
• Oversee prompt engineering, RAG, and vector DB design aligned with taxonomy and conservation data models.
• Document model performance, bias mitigation, and ethics compliance for wildlife domains.
• Bridge communication between technical teams and zoology stakeholders.

Skills

Project management

AI/LLM lifecycle

Vector databases

LLM frameworks

Taxonomy knowledge

Stakeholder management

Tools

Jira

Confluence

LangChain

LlamaIndex

Hugging Face

Job description

About the Opportunity

A fast-scaling AI innovation firm specializing in domain-specific large language models (LLMs) and generative AI solutions for life sciences and zoological research. We build and deploy custom AI agents and knowledge graphs trained on taxonomic, ecological, and behavioral datasets to serve academic institutions, wildlife conservatories, and biodiversity tech startups. Our remote-first team operates at the intersection of zoology, natural language processing, and enterprise AI delivery.

Role & Responsibilities

• Lead end-to-end delivery of AI/LLM projects tailored to zoological use cases—from data ingestion and model fine-tuning to deployment and performance monitoring.
• Translate zoological research requirements into actionable AI workflows, working closely with data scientists, NLP engineers, and domain researchers.
• Manage cross-functional remote teams, set sprint priorities, track milestones, and ensure on-time, on-budget delivery using Agile/Scrum frameworks.
• Oversee prompt engineering, RAG architecture, and vector database design (e.g., FAISS, Pinecone) aligned with zoological taxonomy and conservation data models.
• Document model performance, bias mitigation strategies, and compliance with ethical AI guidelines specific to wildlife and species classification domains.
• Bridge communication between technical teams and zoology stakeholders—ensuring AI deliverables are scientifically valid, interpretable, and operationally deployable.

Skills & Qualifications

Must-Have

• Project Management (Agile, Scrum, Jira, Confluence)
• AI/LLM lifecycle (prompt engineering, RAG, fine-tuning, evaluation)
• Vector databases (FAISS, Pinecone, Chroma)
• LLM frameworks (LangChain, LlamaIndex, Hugging Face)
• Basic understanding of zoological taxonomy or biodiversity datasets
• Stakeholder management for scientific/academic teams

Preferred

• Experience with wildlife or conservation AI use cases
• Familiarity with NLP in life sciences (PubMed, GBIF, BioBERT)
• Knowledge of ethical AI principles for biodiversity applications

Benefits & Culture Highlights

• 100% remote work with flexible hours—built for global collaboration and deep focus.
• Work alongside domain experts in zoology and AI—no silos, just innovation at the intersection.
• Annual learning stipend + AI tooling budget to stay ahead in GenAI delivery.