Reflection AI tech stack
Reflection AI builds mostly with Python, TypeScript, Go, Rust. Its stack also includes Kubernetes, AWS, Megatron-LM, NCCL. Python is named in 18 of the 47 job postings Reflection AI published in the last 12 months (38%). Counted by Alion from the job postings of Reflection AI, updated Sep 27, 2026.
What programming languages does Reflection AI use?
Python is named in 38% of job postings at Reflection AI, followed by TypeScript (13%), Go (11%), Rust (4%).
What frameworks and libraries does Reflection AI use?
Megatron-LM is named in 9% of job postings at Reflection AI, followed by NCCL (9%), Ray (9%), Flink (6%).
Ray
4 9%
Flink
3 6%
Dagster
2 4%
OpenTelemetry
2 4%
PyTorch
2 4%
FastAPI
2 4%
Show all (13)
What databases does Reflection AI use?
BigQuery is named in 4% of job postings at Reflection AI, followed by Delta Lake (4%), Google BigQuery (4%), Snowflake (4%).
BigQuery 
What cloud and platforms does Reflection AI use?
Kubernetes is named in 36% of job postings at Reflection AI, followed by AWS (9%), GCP (9%), Linux (9%).
Kubernetes
17 36%
AWS
4 9%
GCP
4 9%
Okta
4 9%
Cloudflare
3 6%
Apache Kafka
2 4%
Show all (19)
What developer tools does Reflection AI use?
Pulumi is named in 13% of job postings at Reflection AI, followed by Terraform (13%), Docker (9%), gRPC (6%).
Pulumi
6 13%
Terraform
6 13%
Docker
4 9%
gRPC
3 6%
Bazel
2 4%
Great Expectations
2 4%
Prometheus
2 4%
Rest API
2 4%
Show all (15)
What AI and ML technologies does Reflection AI use?
LLM is named in 28% of job postings at Reflection AI.
LLM
13 28%
Which engineering practices does Reflection AI ask for?
Pre-training is named in 28% of job postings at Reflection AI, followed by CI/CD (23%), Machine Learning (23%), AI Agents (19%).
CI/CD
11 23%
AI Agents
9 19%
Reinforcement Learning
6 13%
Fine-tuning
5 11%
Show all (32)
What does each Reflection AI team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
20 postingsBackend
10 postingsSecurity
4 postingsData Science
3 postingsHow does your stack fit Reflection AI?
How is the Reflection AI stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the Reflection AI stack?
Reflection AI scores 70 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How common is the Reflection AI stack in its industry?
Share of the 129 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Reflection AI apart
Companies with a stack like Reflection AI
Questions about the Reflection AI tech stack
What programming languages does Reflection AI use?
The languages named in Reflection AI job postings are Python (38%), TypeScript (13%), Go (11%), Rust (4%), SQL (4%), as a share of the 47 postings of the last 12 months.
Does Reflection AI use Megatron-LM?
Yes. Megatron-LM is named in 4 of 47 job postings (9%) and required in 4 of them.
What cloud and platforms does Reflection AI use?
The cloud and platforms named in Reflection AI job postings are Kubernetes (17), AWS (4), GCP (4) (postings in brackets).
What skills do you need for a AI/ML job at Reflection AI?
AI/ML postings at Reflection AI most often require LLM (10), Kubernetes (7), Python (7), TypeScript (5), out of 20 postings in the last 12 months.
Is the Reflection AI tech stack changing?
Yes. Apache Kafka, BigQuery, Dagster, Delta Lake first appeared in Reflection AI job postings in the last six months.
How modern is the Reflection AI tech stack?
Reflection AI scores 70 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How does Alion know the Reflection AI tech stack?
Alion reads every job posting Reflection AI publishes and tags the technologies each one names. The figures on this page count the 47 postings of the last 12 months and were updated on Sep 27, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "Reflection AI tech stack: 90 technologies from 47 job postings", as of Sep 27, 2026. https://alion.io/company/reflection-ai/technologies