AI Engineer

Anika Systems

United States

Remote

USD 120,000 - 170,000

Full time

14 days+

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Job summary

Anika Systems is seeking an AI Engineer to design and deliver production AI systems across our commercial platform and federal modernization programs. You will own end-to-end work, including data, model integration, services, UI, and deployment, on a small, senior team.

Ideal candidates have 1–3 years shipping ML/NLP solutions with LLM focus, strong Python/TypeScript, and experience with AWS, Terraform, and secure, compliant deployments. U.S. citizenship required.

Qualifications

  • Bachelor’s degree in CS/Engineering or data-related field required; Master’s preferred.
  • 1–3 years building ML/NLP systems with emphasis on LLM/Generative AI.
  • Strong Python and TypeScript, with FastAPI and React experience.
  • Hands-on LLM integration across platforms (OpenAI, Azure, etc.).
  • Experience with agentic workflows, retrieval-augmented generation, and guardrails.
  • Relational data modeling in PostgreSQL, async ORM and migrations.
  • AWS fluency and infrastructure-as-code (Terraform).
  • OAuth/OIDC, JWT, RBAC, multi-tenant design knowledge.
  • Disciplined testing, linting, and clear communication.

Responsibilities

  • Design and deliver production AI systems across commercial and federal programs.
  • Own end-to-end development: data, model integration, services, UI, infrastructure, security.
  • Make technical decisions within federal compliance, security, and procurement constraints.
  • Collaborate on a small, senior team to ship AI-driven features.

Skills

Python
TypeScript
FastAPI
React
LLM integration
Agentic systems design
PostgreSQL
AWS
Terraform
OAuth/OIDC/JWT/RBAC
Testing/linting

Education

Bachelor’s Degree in Computer Science, Computer Engineering, Data Science, Computational Linguistics, or related field
Master’s degree (bonus)

Tools

Terraform
PostgreSQL
AWS
OIDC/Keycloak (optional)

Job description

Anika Systems is an outcome-driven technology solutions firm that guides federal agencies in solving complex business challenges and preparing for the future. Our services span AI Strategy, Data Intelligence, AI & Machine Learning, Intelligent Automation, Enterprise Platforms and Engineering, with a specialized focus on National Security and Federal Financial programs. We are dedicated to delivering forward-thinking solutions that accelerate the critical missions of our government clients. Through our VITAL Innovation Lab, we invest heavily in research and development to anticipate mission needs and deliver cutting edge solutions.

This position is currently remote; however, in accordance with federal contract requirements and company policy, there may be future changes to work location expectations. Candidates should be prepared for the possibility of a return to the office, either partially or fully, based on client directives, contractual obligations, or company policies. Any such changes will be communicated in advance.

Must be a U.S. Citizen with the ability to obtain and maintain a government suitability clearance.

The AI Engineers will design and deliver production AI systems across our commercial platform work and our federal modernization programs. This is a hands-on builder role on a small, senior team. Engineers own work end-to-end including data, model integration, services, UI, infrastructure, security, and deployment. You will be expected to make sound technical calls under federal compliance, security, and procurement constraints.

Requirements:

  • Education: Bachelor’s Degree in Computer Science, Computer Engineering, Data Science, Computational Linguistics, or a related field; Master’s is a bonus.
  • Experience: 1-3years of professional experience building and shipping ML or NLP systems, including focus on LLM based or GenerativeAI 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, ideallyTerraform.
  • 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.

Preferred Skills

  • Federal program exposure: NIST 800-53, FedRAMP, FISMA, ATO process, or agency-specific data-handling requirements.
  • Experience with Keycloak or another OIDC provider, RLS-based multi-tenancy, or zero-trust application design.
  • Working knowledge of a data/lakehouse platform (Databricks, Snowflake) and SQL beyond CRUD.
  • Document AI / OCR pipelines and modernization of legacy enterprise workflows.
  • Production observability (CloudWatch, OpenTelemetry, Grafana) and incident-response experience.
  • Supply-chain hardening: SBOMs, dependenc y scanning, signed builds, threat modeling.

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