About the role

AI Engineer supporting AI-enabled capabilities and generative features in a secure environment. Collaborating with Agile teams for federal clients at Niyam IT.

Responsibilities

Support the development and maintenance of AI-enabled features within a secure mobile and cloud-based application as part of a cross-functional Agile team.
Implement and integrate generative AI components, including prompt-based workflows and LLM-powered services, under the guidance of the Solution Architect or Technical Lead.
Assist in building and maintaining retrieval-augmented generation (RAG) solutions using embeddings and vector stores to support semantic search and data retrieval use cases.
Deploy and operate AI/ML models using managed cloud platforms such as Vertex AI, AWS SageMaker, or Azure ML, following established deployment and monitoring patterns.
Develop Python-based services and scripts using approved coding standards, version control practices, and CI/CD pipelines.
Participate in Agile ceremonies and complete assigned tasks within sprint timelines, contributing to team deliverables and continuous improvement efforts.
Follow established DevSecOps, security, and privacy requirements when developing and operating AI solutions in a federal environment.
Document technical implementations and operational procedures to support system sustainment, audits, and knowledge sharing.
Support demonstrations of the solutions or technologies under consideration to internal and/or client teams.

US Citizenship with ability to successfully complete a federal background investigation.
Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or related field (equivalent practical experience may be considered).
3+ years of professional software engineering experience with demonstrated ownership of production systems.
Strong understanding of modern generative AI systems, including LLM architectures, training vs inference tradeoffs, and prompt and agent design.
Hands on experience with Vertex AI or equivalent platforms such as SageMaker or Azure ML for model deployment, monitoring, and scaling.
Experience building LLM-powered applications using embeddings and vector stores for retrieval-augmented generation and semantic search.
Strong understanding of AI ethics, bias mitigation, and explainability.
Proficiency in Python with strong software engineering fundamentals including testing, version control, and CI/CD.
Experience optimizing latency, cost, and reliability of AI services in distributed production environments.
Ability to reason about model limitations, data quality, security, and privacy in real-world AI deployments.

Flexible Work Hours : Life doesn’t always fit into a 9-to-5 schedule. We offer flexibility to help you manage your work-life balance effectively.
Remote Work : Niyam IT understands the value of flexibility. We offer remote work.
Career Growth : Niyam IT is not just a job; it’s a career journey. We provide a supportive environment for your professional development and offer fully paid opportunities for training and advancement within the company.
Great People : Our people are the blueprint of who Niyam IT is to the industry and community.
Great Environment : Niyam IT fosters a great environment where innovation, collaboration, and personal growth thrive.
Diversity & Inclusion : We believe in the strength of diverse perspectives. Your unique ideas are welcomed and celebrated every day at Niyam IT.