Informulate
Senior Full-Stack Engineer (Gen-AI/Agents)
Contract-to-Hire · Remote (U.S. only) · Eastern Time hours Informulate
is hiring a Senior Full-Stack Engineer who ships real, production Gen-AI applications—not just demos. You’re strongest in
JavaScript/TypeScript
(React/Node) with additional
Python
experience, and you’ve actually
built agentic systems and RAG pipelines
using frameworks like
LangChain
or
LangGraph . You know how to stitch models, tools, vector stores, and cloud services into resilient products. What you’ll do Build end-to-end features:
React/Next.js (web) and
React Native
(mobile) on the front; Node.js/TypeScript (and some Python) on the back. Ship Gen-AI systems:
Implement
RAG pipelines
,
agentic workflows
(planning, ReAct, reflection), tool use, and evaluation loops; wire up observability, guardrails, and fallbacks. Integrate clouds & providers:
Orchestrate models via
AWS Bedrock
, OpenAI, Anthropic, Google, Azure; deploy services on
AWS/DigitalOcean
with CI/CD. Own data paths:
Model and index content for
semantic retrieval
, manage
NoSQL
(and SQL) stores, and tune vector search (e.g., embedding strategies, rerankers). Collaborate & review:
Work closely with engineers/design/product; write clean code, tests, and docs; lead reviews and mentor when needed. Harden for prod:
Monitoring, tracing, rate-limit/backoff strategies, secure config, and cost/perf optimization. Must-have skills Experience:
5 years professional full-stack development with a strong
JS/TS
core. Front-end:
React 18
(hooks, performance),
TypeScript
; experience with
React Native (Expo)
for mobile. Back-end:
Node.js/TypeScript
services (REST/GraphQL), queues/jobs, testing. Python for AI glue:
Comfortable building/evolving AI pipelines, validators (e.g.,
Pydantic ), and tooling scripts. Gen-AI frameworks:
Production use of
LangChain
and/or
LangGraph
(CrewAI/others a plus). RAG & agents:
You’ve shipped
RAG
(indexing/chunking, metadata, evals) and
agentic
task flows (tooling, planning, reflection) to production. Cloud & CI/CD:
Practical deployments on
AWS
(Bedrock experience preferred) and/or GCP/Azure; GitHub Actions or similar. Databases:
NoSQL
experience (MongoDB/Firestore/DynamoDB, etc.). SQL familiarity also expected. MCP (Model Context Protocol):
Hands-on experience integrating
MCP servers/clients
(or clear, demonstrated proficiency building similar tool-calling/context systems). Nice-to-have Firebase
(Auth, Firestore/RTDB, Functions, Storage),
Supabase . Vector DBs
(Pinecone, Weaviate, pgvector). Observability
(LangSmith, OpenTelemetry), prompt/version management, eval harnesses. Styling/CSS:
Tailwind, Material UI. Voice/real-time
(e.g., OpenAI Realtime API), function/tool calling across providers. Security & cost controls
for AI workloads (PII handling, safety filters, caching, budget caps). What this role is not Not a research-only role. We’re not training LLMs from scratch. Not “ML-ops first.” If your experience is primarily model training/tuning without shipping
agentic/RAG apps to prod , this likely isn’t the right fit. How we work Remote-first (U.S.)
: Must reside and be authorized to work in the U.S., available during
Eastern Time
business hours. Contract-to-hire : 1099, typically 40 hrs/week; flexible but delivery-focused. Team culture : Empathy, Quality, Integrity, Impact, Simplicity, Responsiveness. Tight-knit, builder-mindset, low-ego. What to include when you apply Send your resume and links to
production
work to
yari.hine@informulate.net . Please include: A
short paragraph
describing one
production
Gen-AI system you built (RAG and/or agents). Tech stack used ( frameworks
,
providers
,
vector DB
,
eval/observability ). A note on
MCP
usage (server or client), or a similar tool-calling protocol you implemented. Links: GitHub, app/site, or a brief loom walkthrough (if code is private). Company Overview Informulate
(informulate.com) is a U.S.-based software consulting firm founded in 2006, specializing in product innovation, custom application development, and digital transformation. Through our
Informulate.AI
division (informulate.ai), we drive generative AI research, machine‑learning‑powered workflows, and AI‑driven digital solutions that deliver tangible business value. Our core values— Empathy, Quality, Integrity, Impact, Simplicity, and Responsiveness —guide everything we do. We believe in asking the right questions, nurturing high‑trust relationships, and leveraging cutting‑edge technology to solve real‑world problems. Application Process If you’re excited by this role, please send your
resume
, a brief cover note, and any relevant portfolio links or GitHub profiles to
yari.hine@informulate.net . Highlight your experience with the technologies listed above and let us know why you’re a great fit for our team. Informulate LLC is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all contractors.
#J-18808-Ljbffr
Contract-to-Hire · Remote (U.S. only) · Eastern Time hours Informulate
is hiring a Senior Full-Stack Engineer who ships real, production Gen-AI applications—not just demos. You’re strongest in
JavaScript/TypeScript
(React/Node) with additional
Python
experience, and you’ve actually
built agentic systems and RAG pipelines
using frameworks like
LangChain
or
LangGraph . You know how to stitch models, tools, vector stores, and cloud services into resilient products. What you’ll do Build end-to-end features:
React/Next.js (web) and
React Native
(mobile) on the front; Node.js/TypeScript (and some Python) on the back. Ship Gen-AI systems:
Implement
RAG pipelines
,
agentic workflows
(planning, ReAct, reflection), tool use, and evaluation loops; wire up observability, guardrails, and fallbacks. Integrate clouds & providers:
Orchestrate models via
AWS Bedrock
, OpenAI, Anthropic, Google, Azure; deploy services on
AWS/DigitalOcean
with CI/CD. Own data paths:
Model and index content for
semantic retrieval
, manage
NoSQL
(and SQL) stores, and tune vector search (e.g., embedding strategies, rerankers). Collaborate & review:
Work closely with engineers/design/product; write clean code, tests, and docs; lead reviews and mentor when needed. Harden for prod:
Monitoring, tracing, rate-limit/backoff strategies, secure config, and cost/perf optimization. Must-have skills Experience:
5 years professional full-stack development with a strong
JS/TS
core. Front-end:
React 18
(hooks, performance),
TypeScript
; experience with
React Native (Expo)
for mobile. Back-end:
Node.js/TypeScript
services (REST/GraphQL), queues/jobs, testing. Python for AI glue:
Comfortable building/evolving AI pipelines, validators (e.g.,
Pydantic ), and tooling scripts. Gen-AI frameworks:
Production use of
LangChain
and/or
LangGraph
(CrewAI/others a plus). RAG & agents:
You’ve shipped
RAG
(indexing/chunking, metadata, evals) and
agentic
task flows (tooling, planning, reflection) to production. Cloud & CI/CD:
Practical deployments on
AWS
(Bedrock experience preferred) and/or GCP/Azure; GitHub Actions or similar. Databases:
NoSQL
experience (MongoDB/Firestore/DynamoDB, etc.). SQL familiarity also expected. MCP (Model Context Protocol):
Hands-on experience integrating
MCP servers/clients
(or clear, demonstrated proficiency building similar tool-calling/context systems). Nice-to-have Firebase
(Auth, Firestore/RTDB, Functions, Storage),
Supabase . Vector DBs
(Pinecone, Weaviate, pgvector). Observability
(LangSmith, OpenTelemetry), prompt/version management, eval harnesses. Styling/CSS:
Tailwind, Material UI. Voice/real-time
(e.g., OpenAI Realtime API), function/tool calling across providers. Security & cost controls
for AI workloads (PII handling, safety filters, caching, budget caps). What this role is not Not a research-only role. We’re not training LLMs from scratch. Not “ML-ops first.” If your experience is primarily model training/tuning without shipping
agentic/RAG apps to prod , this likely isn’t the right fit. How we work Remote-first (U.S.)
: Must reside and be authorized to work in the U.S., available during
Eastern Time
business hours. Contract-to-hire : 1099, typically 40 hrs/week; flexible but delivery-focused. Team culture : Empathy, Quality, Integrity, Impact, Simplicity, Responsiveness. Tight-knit, builder-mindset, low-ego. What to include when you apply Send your resume and links to
production
work to
yari.hine@informulate.net . Please include: A
short paragraph
describing one
production
Gen-AI system you built (RAG and/or agents). Tech stack used ( frameworks
,
providers
,
vector DB
,
eval/observability ). A note on
MCP
usage (server or client), or a similar tool-calling protocol you implemented. Links: GitHub, app/site, or a brief loom walkthrough (if code is private). Company Overview Informulate
(informulate.com) is a U.S.-based software consulting firm founded in 2006, specializing in product innovation, custom application development, and digital transformation. Through our
Informulate.AI
division (informulate.ai), we drive generative AI research, machine‑learning‑powered workflows, and AI‑driven digital solutions that deliver tangible business value. Our core values— Empathy, Quality, Integrity, Impact, Simplicity, and Responsiveness —guide everything we do. We believe in asking the right questions, nurturing high‑trust relationships, and leveraging cutting‑edge technology to solve real‑world problems. Application Process If you’re excited by this role, please send your
resume
, a brief cover note, and any relevant portfolio links or GitHub profiles to
yari.hine@informulate.net . Highlight your experience with the technologies listed above and let us know why you’re a great fit for our team. Informulate LLC is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all contractors.
#J-18808-Ljbffr