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Anika Systems

AI Engineer

Anika Systems

AI Engineer role focusing on designing and delivering production AI systems for federal modernization programs. Collaborate in a senior team while working under compliance and security constraints.

Posted 4/30/2026full-time🇺🇸 United StatesJuniorWebsite

Tech Stack

Tools & technologies
AWSAzurePostgresPythonReactTerraformTypeScript

About the role

Key responsibilities & impact
  • Design and deliver production AI systems across our commercial platform work and federal modernization programs.
  • Hands-on builder role on a small, senior team.
  • Own work end-to-end including data, model integration, services, UI, infrastructure, security, and deployment.
  • Make sound technical calls under federal compliance, security, and procurement constraints.

Requirements

What you’ll need
  • Bachelor’s Degree in Computer Science, Computer Engineering, Data Science, Computational Linguistics, or a related field; Master’s is a bonus.
  • 1-3 years of professional experience building and shipping ML or NLP systems, including focus on LLM based or Generative AI solutions.
  • Strong production experience in Python and TypeScript, with modern web frameworks on both sides (e.g. FastAPI, React).
  • Hands-on integration of LLMs into real applications — streaming, tool/function calling, token accounting, and failure handling — across at least one of OpenAI, Anthropic, Bedrock, Vertex, or Azure OpenAI.
  • Experience designing agentic systems: multi-step workflows, retrieval-augmented generation, evaluation, and human-in-the-loop guardrails.
  • Solid relational data modeling on PostgreSQL with an async ORM and migration tooling.
  • AWS fluency (compute, storage, IAM, secrets, networking, observability) and infrastructure-as-code, ideally Terraform.
  • Practical understanding of OAuth/OIDC, JWT, RBAC, multi-tenant isolation, and least-privilege design.
  • Disciplined testing, linting, and type-checking habits; reviewable diffs and clear written communication.

Benefits

Comp & perks
  • Remote work options
  • Research and development investment
  • Professional development opportunities possibly available

ATS Keywords

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Hard Skills & Tools
PythonTypeScriptMachine LearningNatural Language ProcessingLarge Language ModelsGenerative AIPostgreSQLAWSTerraformOAuth/OIDC
Soft Skills
communicationtechnical decision-makingcollaborationproblem-solvingattention to detail
Certifications
Bachelor’s Degree in Computer ScienceBachelor’s Degree in Computer EngineeringBachelor’s Degree in Data ScienceBachelor’s Degree in Computational LinguisticsMaster’s Degree (bonus)