A fast-growing
AI-native LegalTech startup
is hiring an
AI Engineer
to build and ship production-grade AI features and the infrastructure needed to evaluate and scale them reliably.
What you’ll work on:
- Build
LLM evaluation/model harnesses
, regression suites and benchmarking infrastructure.
- Develop production
LLM-powered features
from prototype to scale.
- Build
RAG pipelines, agentic workflows, tool-use systems and orchestration layers
.
- Design prompts, context strategies and AI system architectures.
- Integrate and evaluate
proprietary & open-source foundation models
.
- Own AI production reliability —
monitoring, guardrails, fallbacks and observability
.
- Work closely with product, engineering and domain experts to solve complex workflow problems.
What we’re looking for:
- 3+ years
building production AI/LLM applications.
- Solid experience with
LLMs, RAG and agentic/tool-use systems
.
- Experience building
AI evals, test suites, benchmarks or model harnesses
.
- Strong
Python/backend software engineering
fundamentals.
- Hands-on experience with
prompt engineering and LLM orchestration
.
- Understanding of
API-based and open-source models
and model selection trade-offs.
- Strong ownership, speed and ability to work independently.
Ideal profile:
An AI engineer who can go beyond prompting —
build the harness, ship the AI feature, evaluate it rigorously, and own it in production.
📌 AI Engineer – (Bengaluru)
🏢 Jumbo Consulting
📍 Bengaluru
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