Coders Connect
We’re looking for a
Member of Technical Staff (AI)
— a builder who thrives at the frontier of LLMs, agent systems, and applied research. You’ll join a small, elite team developing AI-native products that transform cutting‑edge research into real-world impact.
This is a highly technical role with direct ownership across
AI model experimentation, infrastructure, and deployment . You’ll move fast, prototype ambitiously, and shape the product direction alongside experienced founders.
What You’ll Be Doing
Collaborate with founders and cross-functional teams to build
AI-native products .
Research, design, and implement
LLM-powered systems (prompting, agentic frameworks, evaluation pipelines, and inference optimization).
Transform
academic AI research
into scalable, performant solutions ready for production.
Stay at the forefront of
NLP and reasoning model advancements
— embeddings, fine-tuning, and multi-agent orchestration.
Evaluate, benchmark, and deploy
open and proprietary LLMs
for diverse product use cases.
Own your projects
end-to-end , from prototyping through production.
What We’re Looking For
2+ years
of hands‑on experience in AI/ML engineering, including pre‑training, fine‑tuning, inference, and agentic workflow design.
Strong background in
LLMs, model evaluation (Evals), and AI productization .
Proven track record of delivering
end-to-end AI systems
in research labs or startups.
Deep proficiency in
Python , with experience using
PyTorch ,
Transformers ,
LangChain , or similar frameworks.
Bonus: experience with
LLM Ops ,
vector databases , or
cloud infrastructure
(AWS, GCP, or Azure).
Why Join
Build AI systems that directly
disrupt a multibillion-dollar industry
with real-world impact.
Work alongside a founding team with backgrounds in
AI platforms, legal technology, and global consulting .
Backed by
top-tier investors
in the AI and technology ecosystem.
A
fast-moving, high-ownership
environment where your work shapes the company’s trajectory.
Seniority level Mid‑Senior level
Employment type Full‑time
Industries Legal Services and Technology, Information and Media
#J-18808-Ljbffr
Member of Technical Staff (AI)
— a builder who thrives at the frontier of LLMs, agent systems, and applied research. You’ll join a small, elite team developing AI-native products that transform cutting‑edge research into real-world impact.
This is a highly technical role with direct ownership across
AI model experimentation, infrastructure, and deployment . You’ll move fast, prototype ambitiously, and shape the product direction alongside experienced founders.
What You’ll Be Doing
Collaborate with founders and cross-functional teams to build
AI-native products .
Research, design, and implement
LLM-powered systems (prompting, agentic frameworks, evaluation pipelines, and inference optimization).
Transform
academic AI research
into scalable, performant solutions ready for production.
Stay at the forefront of
NLP and reasoning model advancements
— embeddings, fine-tuning, and multi-agent orchestration.
Evaluate, benchmark, and deploy
open and proprietary LLMs
for diverse product use cases.
Own your projects
end-to-end , from prototyping through production.
What We’re Looking For
2+ years
of hands‑on experience in AI/ML engineering, including pre‑training, fine‑tuning, inference, and agentic workflow design.
Strong background in
LLMs, model evaluation (Evals), and AI productization .
Proven track record of delivering
end-to-end AI systems
in research labs or startups.
Deep proficiency in
Python , with experience using
PyTorch ,
Transformers ,
LangChain , or similar frameworks.
Bonus: experience with
LLM Ops ,
vector databases , or
cloud infrastructure
(AWS, GCP, or Azure).
Why Join
Build AI systems that directly
disrupt a multibillion-dollar industry
with real-world impact.
Work alongside a founding team with backgrounds in
AI platforms, legal technology, and global consulting .
Backed by
top-tier investors
in the AI and technology ecosystem.
A
fast-moving, high-ownership
environment where your work shapes the company’s trajectory.
Seniority level Mid‑Senior level
Employment type Full‑time
Industries Legal Services and Technology, Information and Media
#J-18808-Ljbffr