Anika Systems is looking to solve complex business challenges for federal agencies by developing Generative AI capabilities that improve how these agencies serve the public.
Requirements
- Expert Python and strong software engineering fundamentals (data structures, algorithms, testing, CI/CD, Git, containers).
- Hands on with modern ML/LLM tooling (PyTorch or TensorFlow; LangChain, LangGraph, vector databases such as Pinecone, Azure AI Search, FAISS) and AI Agents.
- Proven experience deploying workloads to Azure (preferred), AWS, or another major cloud provider.
- Familiarity with DevOps/Infrastructure as Code (GitHub Actions, Terraform/Bicep, Docker/Kubernetes).
- 1-3+ years of professional experience building and shipping ML or NLP systems, including focus on LLM based or Generative AI solutions.
Responsibilities
- Research, design, and develop production grade Generative AI and intelligent automation solutions using LLMs, RAG pipelines, and vector databases.
- Lead end to end development: data collection/cleansing, model finetuning, evaluation, optimization, containerization, and secure cloud deployment (Azure/AWS).
- Implement LLMOps/MLOps pipelines for automated testing, bias detection, monitoring, and rollback.
- Apply Responsible AI principles and federal compliance standards (e.g., NIST RMF, FedRAMP) throughout the solution lifecycle.
- Translate vague mission requirements into technical designs; iterate quickly with stakeholders via agile ceremonies and rapid prototyping.
- Contribute to the VITAL Innovation Lab roadmap by identifying research topics, publishing internal white papers, and presenting at communities of practice.
Other
- Must be a U.S. Citizen with the ability to obtain and maintain a government suitability clearance.
- 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.
- Strong written and verbal communication; ability to explain complex concepts to nontechnical audiences.
- Aspiration to develop leadership and team management skills.
