Python & Java FullStack - 9 to 13 Yrs

About the role

FYNDNA is building a production AI layer ( FYNAI ) inside a core lending/banking platform: MCP-based code generation and governance tools, a natural-language-to-SQL pipeline over Databricks, AI-powered pricing/rules engines, and an in-house fine-tuned Small Language Model (SLM) replacing external LLM calls for cost, latency, and data-residency reasons.

What you'll do

• Fynai-mcp — the platform’s MCP-based orchestration layer. One core capability is the NL-to-SQL/GraphQL pipeline: improve query routing, grounding
• Ai-loans-slm — fine-tune and evaluate a domain-specific SLM (LoRA/PEFT adapters) trained on schema + Q&A pairs
• MCP server fleet — extend and harden 7+ Model Context Protocol servers (code-assist, rules-creator, test-creator, code-governance, data-catalog
• Work alongside the fynai-studio BMAD multi-agent design process, evaluating and improving how agentic workflows themselves get used for architecture, code
• Use tools like llama.cpp and vLLM to deploy SLMs

What you need

• Python
• Java
• GraphQL
• Databricks
• MLOps
• SQL

Good to have

• PostgreSQL
• Spring Boot
• Microservices
• LLMs
• Regression testing
• FastAPI