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: 1-3 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, 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, dependency scanning, signed builds, threat modeling.
Skills Required
- Bachelor's Degree in Computer Science, Computer Engineering, Data Science, Computational Linguistics, or related field
- 1-3 years of professional experience building and shipping ML or NLP systems
- Strong production experience in Python and TypeScript, with modern web frameworks
- Hands-on integration of LLMs into real applications
- Experience designing agentic systems
- Solid relational data modeling on PostgreSQL with async ORM
- AWS fluency and infrastructure-as-code experience
- Practical understanding of OAuth/OIDC, JWT, RBAC
- Disciplined testing, linting, and type-checking habits
What We Do
Anika Systems is a SBA certified 8A and EDWOSB firm. The pace at which the government is changing, there is a need for technology consulting companies that rise to those challenges by taking a fresh approach to problems, solutions that get to market faster, offer service that exceed the customers’ expectations and disrupt the status quo. Anika Systems is an outcome-driven technology consulting firm that helps federal agencies solve business problems and enable them for the future, with services and solutions spanning Data and Analytics, Intelligent Automation, IT Modernization, Application Development and Cloud Engineering. We’re a team of thinkers, lifelong learners, makers, and doers that deeply understand the Federal government customers missions and goals. Our teams are deeply connected and bring their shared experiences and insights to each and every engagement. With a Show me over Tell Me philosophy which is imbibed in our corporate DNA, we produce Minimum Viable Products (MVPs) and delight our customers with solutions, not boring "solution decks". We accomplish these MVPs in our poly-cloud based Virtual Innovation Transformation Acceleration Lab (VITAL), wherein we synthesize ideas into a business concept (intake), select ideas (assess, evaluate, decide) and implement the selected ideas using the appropriate technology (fulfillment). We specialize in building Agency-wide Centers of Excellence for Data and Analytics, Intelligent Automation and Cloud Management.
