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Teacher Jobs in Ohio

Contract Software Engineer II - AI Platform {Teacher Assistant)

Primary Talent Partners

OHIO, OH(remote)

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JOB DETAILS
SALARY
$52.24–$57.24 Per Hour
SKILLS
Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Budgeting, Code Reviews, Conversation Engine, Cryptography, Customer/Consumer Behavior, Data Science, Debugging Skills, Docker, Elasticsearch, Embedded Systems, Family Educational Rights and Privacy Act (FERPA), Injections, Load Testing, MCP - Microsoft Certified Professional, Machine Tool, Metadata, Metrics, Microsoft Windows Azure, Middleware, Network Routers, On Call, PostgreSQL, Production Support, Production Systems, Pytest, Python Programming/Scripting Language, Quality Management, Redis, Right-Sizing, Software Engineering, Team Building, Technical/Engineering Design, Time Management, Training Tools, Training/Teaching, User Interface/Experience (UI/UX), Web Browsers
LOCATION
OHIO, OH(remote)
POSTED
2 days ago
Primary Talent Partners has a new contract opening for a Contract Software Engineer II -AI Platform {Teacher Assistant) to join a  global medical technology company in OHIO, OH. This is an 8-month contract with a potential for extension.

Pay:$52.24 - $57.24/hr; W2 contract, no PTO, no Benefits. ACA-compliant supplemental package available for enrollment. Candidates must be legally authorized to work in the United States and must be able to sit on Primary Talent Partners W2 without sponsorship.


Description:
Our AI Platform team is building intelligent learning experiences used by millions of students and educators. Teacher Assistant is a direct-to-teacher AI tool - an agentic chatbot, embedded in the learning platform teachers already use, that helps K-12 teachers plan instruction, find and use their course materials, and make sense of student performance data through natural conversation.
  • This is applied AI with real stakes.
  • The orchestration is genuinely hard, and the impact -helping a teacher reach a student who's been struggling - is something you'll actually feel.


About this engagement:
You'll join a small, senior delivery team building and operating the Teacher Assistant backend and the AI platform around it. We're looking for someone who can pick up well-scoped features and own them through to production with light support - someone who has shipped production AI systems before and understands how they behave once real users are in the loop.

A note on shape: this is a full-stack-leaning-backend role with a strong AI-systems emphasis. It is not a pure machine-learning role and not a pure web role. Most of your time is in async Python and the LLM orchestration layer; you'll touch the frontend when the work calls for it.


This is a software engineering role on a production AI system. You won't be training or fine-tuning models or running model-science experiments - our data science team owns that. But unlike a generic application role, prompt engineering, retrieval quality, and evaluation discipline are core to this job, not someone else's problem. The interesting work lives in the orchestration, the prompt lifecycle, retrieval, and evals - not CRUD.


What you'll do
Day to day, you'll:
  • Build and extend the agentic LLM orchestration behind Teacher Assistant - the graph of nodes and agents that turns a teacher's request into a useful response .
  • Integrate external data sources and tools into the agent so it can reason over the information teachers need .
  • Improve retrieval quality across vector and lexical search .
  • Work on model routing, resilience, and graceful degradation so the system stays fast and available under real-world load.
  • Strengthen the prompt lifecycle, evaluation discipline, and observability that keep a nondeterministic system reliable .
  • Harden quality with automated unit, integration, and end-to-end testing wnat tn1s ro1e 1s - ana 1sn·t


What the role looks like at this level:
As a Software Engineer II on this team, you'll break down medium-sized features, estimate them, and cut scope to ship on time. You'll start to own tasks within the service with support from senior teammates, contribute to technical design and engineering-review proposals while thinking through failure cases, give helpful and timely code reviews, and defend your decisions in review. You'll debug to root cause in your area, instrument your code for operations, and participate in the on-call rotation. Senior engineers are around to pair with and review your work - but increasingly you'll be the one proposing the approach and carrying a feature to production.


What you must already bring
  • You don't need every line below at expert depth, but the combined surface has to be covered.


Core engineering:
  • Expert-level async Python (3.11+).
  • Real production asyncio / async / await experience across the request path - a synchronous-only Python background won't be enough here.
  • FastAPI at depth: routers, dependencies, lifespan, middleware. Pydantic v2 and disciplined type hints.
  • pytest and pytest-asyncio - fixtures, async, mocking, and meaningful coverage. Standard formatting, linting, and type-checking tools are table stakes.
AI / LLM systems - the heart of the work
  • Hands-on production experience with LangGraph: state machines, conditional edges, checkpointing. Experience with LangChain alone is not the same thing - this is where most of the surface area lives.
  • LangChain core (messages, runnables, tools), and prompt engineering/ prompt lifecycle management - versioned, environment-tagged prompts with local overrides - using tracing and experiment tooling such as LangSmith .
  • Multi-agent/ multi-node workflow design - routing across specialized agents and nodes.
  • RAG with hybrid vector + lexical retrieval, and experience with a managed LLM provider such as Azure OpenAI (deployments, API versions, quotas).
  • Sound instincts for non-determinism, token budgets, timeouts, and graceful degradation,
  • plus familiarity with eval frameworks (e.g. LLM-as-judge and regression evals).
Data, infrastructure, and delivery
  • PostgreSQL operationally - indexing, connection pools, poolers - plus pgvector and
  • OpenSearch/Elasticsearch hybrid (text + KNN) search.
  • AWS and Kubernetes in production - genuine fluency, beyond local container orchestration. Docker multi-stage builds; infrastructure-as-code (e.g. Terraform) and manifest overlays for multiple environments.
  • Multi-environment configuration discipline - several environments, from local through production, each with its own secrets, prompts, and resources.
  • And comfortable with Typescript and modern Angular with RxJS when frontend work is needed.
  • A backend-leaning candidate is welcome as long as you're comfortable in Angular; a frontend-leaning candidate must still be solid in the Python/LLM stack.


Nice to have {genuine bonuses, none required):
  • MCP (Model Context Protocol) and SSE; database migration tooling; Redis-compatible caches.
  • Observability tooling (APM, metrics, tracing) and distributed-tracing concepts.
  • Modern Python packaging and build tooling, Make-based builds, GitHub Actions, private package registries, and encrypted-secrets workflows.
  • Load testing and end-to-end browser testing frameworks.
  • Edtech / K-12 domain awareness (standards, proficiency, learning frameworks) and FERPA-adjacent data-privacy thinking.
  • Familiarity with large-enterprise internal identity, auth, and content-metadata services - accelerates ramp, but learnable.


How we work:
  • This is an internal enterprise codebase, so expect internal SDKs and package registries, encrypted-secrets tooling, and a secrets manager as part of the daily flow.
  • It's a polyglot repo - backend, frontend, infrastructure-as-code, and database migrations coexist - and the team uses written design and decision docs.
  • Security hygiene for AI apps (prompt injection, PII handling, guardrails) matters here because we're working with educational data.



Primary Talent Partners is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.

If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at info@primarytalentpartners.com

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