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Senior Software Engineer, AI Specialist
Job in
Dearborn, Platte County, Missouri, 64439, USA
Listed on 2026-07-20
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-20
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Backend Developer
Job Description & How to Apply Below
- Contribute to the design of scalable, multi-agent AI architectures.
- Design components and modules across agent orchestration, tool systems, and large language model (LLM) integration.
- Evaluate trade-offs across architectural choices (e.g., single- versus multi-agent designs, retrieval-augmented generation versus fine-tuning, deterministic versus probabilistic pipelines).
- Participate in design reviews and contribute to Architecture Decision Records (ADRs).
- Produce production-grade code across agent frameworks, backend APIs, and frontend interfaces on a daily basis.
- Develop and evolve reusable AI components, including agent tools, embedding pipelines, and evaluation frameworks.
- Implement LLM-powered workflows, including natural-language-to-SQL generation, semantic search, and metadata enrichment.
- Develop services that enable intelligent data access, such as vector search, hybrid retrieval, and query scope management.
- Implement guardrails, validation layers, and observability mechanisms for AI-generated outputs.
- Build performant backend services (Python/ FastAPI) and interactive frontend applications (Angular/React) for data exploration.
- Develop both conversational (chat) and structured (API) interfaces for analytical workloads.
- Construct evaluation and benchmarking tooling to support continuous measurement of AI quality.
- Assume end-to-end ownership of features, from initial design through deployment and ongoing monitoring.
- Implement vector embedding pipelines for metadata discovery using pgvector.
- Develop semantic retrieval capabilities across datasets, tables, and columns, employing hybrid search strategies.
- Optimize search relevance through embedding strategies, re-ranking, and rigorous evaluation metrics.
- Contribute to the platform's data quality and governance capabilities.
- Produce clean, maintainable, and scalable code that adheres to industry best practices.
- Participate actively in code reviews and establish quality standards through exemplary personal contributions.
- Conduct root-cause analysis on agent failures and implement systematic remediations.
- Serve as the team's technical anchor and primary point of reference for complex implementation challenges.
- Partner with Product, Data Engineering, and Platform teams to ensure successful feature delivery.
- Support colleagues through pair programming, knowledge sharing, and technical mentorship.
- Contribute to sprint planning, effort estimation, and technical feasibility assessments.
- Assist in onboarding new team members and disseminating domain expertise across the organization.
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field.
- 8 + years of professional software engineering experience with demonstrated hands‑on coding proficiency.
- Demonstrable experience building AI‑powered applications or operating LLM‑based systems in production environments.
- Proven ability to interpret ambiguous requirements and independently deliver functional, well‑tested software.
- Strong debugging and problem‑solving capabilities across the full technology stack.
- A demonstrated record of owning and delivering complex features from inception through completion.
- Technology Stack:
Programming Languages and Frameworks:
Python (primary), Java, JavaScript/Type Script, Angular/React;
Artificial Intelligence and Machine Learning:
Google ADK, Lang Chain/Lang Graph, OpenAI and Gemini APIs, prompt engineering, retrieval augmented generation (RAG) pipelines;
Data and Cloud Infrastructure:
Google Cloud Platform (Big Query, Vertex AI, and Cloud Run preferred);
Backend Technologies:
FastAPI, Pydantic, SQLModel/SQL Alchemy, PostgreSQL with pgvector;
Frontend Technologies:
Angular or React, Type Script;
Continuous Integration, Continuous Delivery, and Infrastructure:
Terraform, Git Hub Actions, Docker;
Evaluation:
Custom evaluation frameworks, LLM‑as‑judge methodologies. - Preferred Qualifications:
Experience with the Google Agent Development Kit (ADK) or comparable agent frameworks, such as CrewAI, or Lang Graph;
Applied machine learning experience encompassing embeddings, classification, clustering, natural language processing, and evaluation metrics;
Demonstrated experience with vector databases and semantic retrieval optimization;
Familiarity with data engineering practices and data governance processes;
Prior experience developing internal developer tooling or platform SDKs.
- Python
- Java
- Java Script
- Type Script
- Angular
- React
- FastAPI
- SQL
- PostgreSQL
- Machine Learning
- problem‑solving
- debugging
- technical mentorship
- knowledge sharing
- communication
- collaboration
- ownership
- design review participation
- sprint planning
- effort estimation
Position Requirements
10+ Years
work experience
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