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Junior AI Engineer – Forward Deployed Engineer
PPMI Construction Company. Build LLM applications and agentic workflows for research and analysis .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building LLM applications and agentic workflows, with a strong foundation in Python and experience in AI and data science methods. Capable of developing reliable tools and pipelines while collaborating with project teams to meet research and policy needs.
Highest-signal resume keywords
Python ProgrammingAI Application DevelopmentAgent OrchestrationAPI DevelopmentStrong Written Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningAnalytical Workflow DevelopmentModel APIsRAGGraphRAGContext SystemsMemory SystemsData ProtectionPerformance TestingEvidence-Based Analysis
Soft Skills
CuriosityOwnershipCollaborationFeedback GatheringCommunication
Tools & Technologies
JavaScriptTypeScriptVersion ControlCloud ServicesMonitoring Tools
Industry Keywords
Public PolicySocial ResearchEU InstitutionsDecision-Making ProcessesReproducibility
Tech Stack
Tools & technologiesCloudJavaScriptPythonTypeScript
About the role
Key responsibilities & impact- Build LLM applications and agentic workflows for research and analysis
- Develop agent harnesses, context and memory systems, tool integrations and orchestration with appropriate permissions and human oversight
- Help define problems, test alternative architectures and compare agentic RAG, GraphRAG, single-agent, multi-agent and simpler approaches
- Balance quality, reliability, complexity, cost and research needs using evidence
- Turn prototypes into reliable, deployable tools
- Build pipelines, APIs and interfaces
- Test performance and failure handling on realistic tasks
- Support data protection, reproducibility and monitoring
- Apply AI and data science methods to real research questions with policy researchers
- Validate results against expert judgement and simpler methods
- Preserve source references and reproducible workflows
- Contribute to analytical outputs
- Work with project teams and clients to understand needs and define requirements and success criteria
- Demonstrate solutions, gather feedback and support adoption
- Contribute to technical proposals and policy-relevant findings
- Take on increasing ownership with initial guidance on complex or ambiguous tasks
Requirements
What you’ll need- Degree in computer science, artificial intelligence, data science, statistics, computational social sciences, economics or a related field
- Other backgrounds and equivalent practical experience are welcome when supported by relevant skills and projects
- Experience creating and testing AI applications, ML models or analytical workflows through studies, personal projects, internships or professional work
- Working knowledge of Python
- Confidence learning or working with JavaScript/TypeScript
- Familiarity with APIs, version control and structured development practices is valuable
- Relevant AI research, model releases and developer tools awareness
- Curiosity about research questions, data quality, evidence and analytical limitations
- Interest in public policy, social research or how governments make decisions
- Full professional proficiency in English
- Strong written communication
- Ability to take ownership of well-scoped work while asking for guidance when needed
- Experience with model APIs, RAG or GraphRAG, agent orchestration, MCP tool integrations, context or memory systems, structured outputs, evaluations or execution traces is a nice-to-have
- Exposure to cloud services, deployment, permissions, monitoring or production AI workflows is a nice-to-have
- Familiarity with policy evaluation, EU institutions or public-sector decision-making processes is a nice-to-have
Benefits
Comp & perks- Significant autonomy and dedicated time for experimentation
- Training, coaching and feedback
- No fixed office hours
- Remote-working options
- Remote work available for up to half of the time for office-based employees
- Private employee health insurance*
- Extra days off
- Access to the Mindletic Emotional Intelligence Training App
- Meaningful impact through work addressing societal challenges
- *For office-based employees.