Enterprise AI Engineer Python, LLM, AWS

Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We valuecreative problem-solvingopen communication andempowering our employeesto make decisions and put forth new ideas.

Our staff includes technical experts working across multiple disciplines bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of atechnicallystrongandgrowth-orientedcompany focused on bringinginnovative solutionsto the difficult mission problems facing our customers.

Description
We are seeking an Artificial Intelligence (AI) Engineer whowill work closely with system and software engineers to design prototype and integrate AI-enabled capabilities into the existing RAD architecture. This role centers on applying existing large language models (LLMs) to real mission workflows rather than training new models. The AI Engineer will build agentic solutions systems of coordinated AI agents and prompts that automate tasks currently performed manually streamline authoring and reporting workflows and enhance the overall effectiveness of intelligence operations.

• Agentic Solution Design & Development: Lead the design and development of AI-driven solutions from conception to deployment building multi-agent workflows in which coordinated agents and prompts work together to produce outputs supporting reporting and dissemination. This includes prototyping writing production-quality code and maintaining deployed AI capabilities
• LLM Integration: Integrate existing foundation models into the RAD architecture via APIs and orchestration frameworks selecting the right model and approach for each task rather than building models from scratch
• Prompt Engineering & Workflow Automation: Design test and refine prompts and agent instructions to reliably automate manual tasks and decompose complex mission workflows into discrete steps an agent pipeline can execute
• Evaluation & Reliability: Develop robust testing evaluation and validation strategies for AI-generated outputs ensuring accuracy consistency and appropriate handling of edge cases before outputs reach analysts and reports
• Collaboration & Communication: Serve as a key technical liaison collaborating with cross-functional teams including system engineers software developers and domain experts. Effectively present and articulate recommended AI approaches discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders
• Continuous Improvement: Stay current with the rapidly evolving LLM and agentic AI landscape (new models orchestration frameworks and tooling) continuously identifying practical opportunities to apply emerging capabilities to the system

This position allows for partial telework.

Clearance
A current Top-Secret/SCI with polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.

Experience
Bachelors degree from an accredited college or university. Four (4) years of additional SWE or related experience may be substituted for a Bachelors degree. Masters degree can be substituted for two (2) years experience.

Required skills:

• Strong Python development skills with experience writing production-quality maintainable code
• Hands-on experience building applications on top of existing LLMs (e.g. via APIs for commercial or self-hosted models)
• Experience designing multi-agent or multi-step AI workflows including prompt chaining tool use and agent orchestration (e.g. LangChain LlamaIndex or custom frameworks)
• Strong prompt engineering skills and experience evaluating/validating LLM outputs
• Experience integrating AI capabilities into existing software architectures (RESTful APIs microservices)
• Experience with the Amazon Web Services (AWS) cloud computing platform

• Experience with retrieval-augmented generation (RAG) pipelines and vector databases
• Familiarity with LLM observability and evaluation tooling
• Experience conducting exploratory data analysis on structured and unstructured datasets to prepare inputs for AI workflows
• Familiarity with MLOps/LLMOps practices for deploying and monitoring AI capabilities at scale
• Familiarity with domain knowledge surrounding government agency reporting and dissemination policies

Benefits
Erias Ventures provides a complete package of wealth health and happiness expected salary range for this position depending on education and years of experience is $150000 - $265000.

Wealth Benefits:

• Above Market Hourly Pay
• 11% RothorTraditional 401kwith Immediate Vesting and Deposit
• Spot Bonusesfor Assisting with Business Development and Company Growth
• Professional Development Bonusesfor Certificates and Degrees

Health Benefits:

• Company subsidizedMedicalCoverage
• 100%Company PaidVisionandDentalCoverage
• 100%Company PaidLong Term DisabilityShort Term Disability andGroup Life Insurance
• MonthlyWellness Reimbursement

Happiness Benefits:

• Paid Time OffwithFlexible WorkSchedules andBirthday Off
• Amazon Prime MembershipandMonthlyInternetReimbursement
• TechnologyandProductivity Allowancefor Equipment and Supplies
• Morale BuildingandCompany Eventsto Celebrate our Successes and Build our Community
• Onboarding and AnnualSwag
• Company Paid Professional DevelopmentandTraining

At Erias Ventures we are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer we ensure that all qualified applicants are considered for employment based on merit without discrimination. We welcome individuals regardless of race color religion gender gender identity or expression sexual orientation national origin genetics disability age or veteran status.

Referrals &Inquiries
Do you know a cleared professional seeking to advance their career Interested in earning some extra cash If so refer them to us with their name and contact details and you could be eligible for a referral bonus of up to$10000for each successful hire.

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