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AI Agent Developer
Iridescent Technologynavi mumbai, maharashtra, in4 days ago
Job descriptionExpand Agent #1 (Role Matching) to handle 5,000+ job descriptions across 23 sectors Enhance Agent #8 (Content Recommendation) with job description contextualisation Integrate Agent #10 (Conversational Facilitator) with role-specific examples Python - All agent logic, RAG implementation, API development Vector Databases - Pinecone, Weaviate, Qdrant, or ChromaDB (operational production experience) LLM Integration - Anthropic Claude API, prompt engineering, structured outputs RAG Architecture - Retrieval Augmented Generation, semantic search, hybrid search Embedding Models - OpenAI, Cohere, or Sentence Transformers (generation and vector operations) API design and RESTful services JSON / data structure design Database schema design and migrations Integration testing and validation Error handling and system reliability 5+ years Python development in production environments 2+ years working with vector databases in production 2+ years building RAG-based systems or LLM applications Proven experience with embedding generation and semantic search Experience designing and implementing APIs for agent-based systems Strong understanding of prompt engineering and LLM behaviour Experience with multi-agent systems or agent orchestration Background in ML classification (scikit-learn, PyTorch) Knowledge of hybrid search algorithms (vector + keyword) Experience with xAPI or learning analytics standards Understanding of UK education frameworks (NOS, OFQUAL) - nice to have HR / L&D domain knowledge - nice to have Need extensive training on Python, vectors, or RAG fundamentals Haven't worked with production LLM applications before Don't have hands-on vector database experience Primarily work in research rather than production systems Need close supervision to implement clearly specified features 4 Data Scientists in Bangalore - Your immediate team (DS1-DS4 structure) Juliette Denny - Founder, architect of the 4D Process and agent specifications Cosmo (CTO) - ADHD brain like a solar system, technical architecture lead Gerard (Chairman) - Strategic oversight Clear specifications with detailed architecture documents ReACT pattern (Reasoning → Action → Critique) for all agents Work packages with defined deliverables and acceptance criteria Parallel workstreams across the 4-person DS team Regular integration testing between agents B1 : Agent #3 Core Logic (DS3, 7 days) B2 : Integration Layer + Agent #16, #18 (DS4, 5 days) B3 : Enhanced Agent #1 (DS3, 3 days) B4 : Enhanced Agent #8 + #10 (DS4, 3 days) 5,000+ vectorised job descriptions across 23 sectors NOS Database (vectorised) OFQUAL Register (vectorised) Career Pathways Database (500+ progression routes) User Profile Database (operational) Response times 95%+ accuracy on role matching Semantic consistency across all vector operations Complete audit trails for OFQUAL compliance Match learners to 5,000+ career roles with 95% accuracy Map progression pathways with skill gap analysis Deliver regulated qualifications (OFQUAL-compliant) Provide formal assessments with human oversight Competitive salary (based on experience) Remote-first culture Work with cutting-edge AI technology in production Direct impact on people's career progression Collaborative team that ships real products Opportunity to work across the full agent architecture
Location : Remote (with Bangalore Data Science team)
Experience Required : 5+ years
Contract Type : Full-time
Salary - ₹18-28 LPA dependent on experience
About Zavmo
Zavmo, your lifelong learning companion, is an AI-powered learning platform transforming professional development through intelligent personalisation. We've built an 18-agent multi-agent system that delivers the 4D Process (Discover, Discuss, Deliver, Demonstrate), integrating National Occupational Standards, OFQUAL frameworks, and career progression intelligence.
Recently recognised as Top 20 AI Innovation Learning Tools by Training Magazine (2025).
The Role
We need an experienced AI engineer who can build and enhance specialised agents within our production multi-agent architecture. You'll be working with a 4-person Data Science team in Bangalore, implementing RAG-based agents that handle everything from role matching and career progression to assessment and quality assurance.
This isn't a research role - we have clear specifications. You'll be shipping production code that serves real learners pursuing regulated qualifications.
What You'll Build
Immediate Projects :
- Agent #3 : Career Progression Intelligence Agent (RAG + pathway ranking algorithms)
- Agent #16 : Learning Specification Triangulation Agent (LO / LO / AC alignment validation)
- Agent #17 : Assessor Agent (formative / summative assessment with PASS / REFER / FAIL logic)
- Agent #18 : Quality Assurance Agent (meta-agent for self-critique across all agents)
Enhancement Work :
Core Technical Stack (Must Have 5+ Years)
Primary Technologies :
Essential Skills :
Required Experience
You Must Have :
Ideally You Also Have :
What We're Not Looking For
This role isn't suitable if you :
The Team
You'll work with :
How We Work
Development Approach :
Current Sprint Example :
Timeline : 3-4 week sprints, production deployments
Technical Environment
Data Infrastructure :
Performance Requirements :
Why This Role Matters
You'll be building AI that genuinely helps people progress in their careers. Not chatbots that hallucinate. Not marketing demos. Real production systems that :
Your code will serve hundreds of thousands of learners globally, helping them live their ideal life design.
What We Offer
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Ai Developer • navi mumbai, maharashtra, in
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