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AI Developer

“Mindlance

Job Location:

Washington, DC - USA

Monthly Salary: Not provided by the employer

Posted: 8 September 2026 (10 hours ago)

Application Deadline: 6 December 2026

Vacancies: 1 Vacancy

Job Summary

Position Summary:

Title: AI Developer
Duration: 12 Months Long Term
Location: Washington DC 20005

Hybrid Onsite: 2/3 Days onsite per week from Day1

The overall purpose of position:
Support AI pod and analyse client needs stand up prototypes and convert those prototypes into secure production-ready applications.

Will own the end-to-end development life cycle for changing client efforts while constantly scouting testing and injecting emerging AI technologies into the process.
Candidate must pair an exceptional delivery discipline with hands-on engineering agility moving seamlessly from whiteboard to working demo and back again.

Scope of work:

Exploration & Scoping

Rapidly synthesize client pain points into concise problem statements success metrics and guardrails.
Evaluate feasibility cost risk and ROI for multiple GenAI solution paths (RAG agentic workflows synthetic-data pipelines etc.).
Aid in maintaining a dynamic backlog of ideas continuously assisting in reprioritized against business value.

Rapid Build & Iteration

Spin up end-to-end prototypes using technologies like AWS Bedrock / SageMaker FastAPI Streamlit React or whatever framework or architecture efficiently to meet client needs
Implement evaluation harnesses for accuracy latency and cost demo tangible progress each Sprint.
Capture stakeholder feedback live and fold it into the next sprint with minimal overhead.

Adapt & Enhance

Refactor architecture as user requirements shift or new data sources emerge.
Introduce cutting-edge libraries or architectures when they offer measurable uplift.
Document decision trade-offs and lessons learned for future waves.

Hardening & Transition

Elevate promising POCs into client-compliant pilots and integrate CI/CD pipelines.
Produce all delivery artifacts: architecture diagrams security traceability runbooks video demos.
Alignment to client and AFS security practices.
Creating/Updating existing relevant client documentation.

Aiding in creation of video demos
Conducting live demos

Guide pilots through acceptance hand-off and sustainment planning with operations teams.

Emerging-Tech Tracking & Best Practices

Track Client GenAI trends (open-source LLMs small-context agents memory-efficient RAG) and run spike proofs to gauge fit.
Present briefings to the Innovation leadership (when applicable) and seed reusable patterns into our internal asset library.
Mentor junior practitioners on prompt engineering token-cost governance and evaluation best practices.

Qualification and experience:

Bachelors degree in technology innovation or related field of study.
3 years delivering data products or full stack applications .
1 years building & deploying GenAI applications.
Practical understanding of technologies like:

AWS core services using Bedrock or SageMaker for LLM hosting
Java Python FastAPI Docker GitHub Actions Terraform or AWS CDK
React / TypeScript and modern vector stores
LangChain LlamaIndex LangGraph or equivalent RAG / agent frameworks

Demonstrated ability to compress ideation demo hardened pilot into < 90 days
Exceptional verbal written and presentation skills.
Able to translate technical insights into executive-ready stories.
High comfort operating in fast-paced ambiguous environments where priorities shift rapidly.

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

Required Experience:

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