Software Engineer – AI

Jobtailor

Washington (District of Columbia)

On-site

USD 110,000 - 170,000

Full time

3 days ago

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Job summary

Jobtailor is seeking a software engineer to design, build, and deploy AI-powered legal solutions in a fast-paced environment. You will translate complex legal workflows into scalable technical implementations leveraging foundation models, retrieval systems, and enterprise platforms.

Ideal candidates have 2–4 years of production software experience, Python proficiency, and familiarity with AI tooling, cloud platforms, and data pipelines.

Qualifications

2–4 years of software engineering experience in production environments.
Hands-on experience with Python and modern AI/ML tooling and APIs.
Understanding of core ML/LLM concepts, including prompt design and evaluation.
Experience integrating external APIs, automating workflows, or building data pipelines.
Strong communication skills with legal, product, and engineering stakeholders.
Ability to work in fast-paced environments and contribute across multiple projects.
Experience with cloud platforms (AWS, Azure, or GCP).
Familiarity with containerization and deployment workflows.
Experience using AI platforms or APIs (OpenAI, Anthropic, or similar).
Exposure to vector databases, embeddings, search, or retrieval systems.
Experience in legal, compliance, financial, healthcare, or regulated domains.
Portfolio or project examples demonstrating practical use of LLMs and automations.

Responsibilities

Partner with AI Solution Engineers, Architects, and senior teammates to design, build, and deploy AI-powered solutions for legal customers.
Translate legal workflows and business needs into reliable technical solutions combining foundation models and legal-domain understanding.
Contribute to technical discovery, prototyping, integrations, and evaluation of AI outputs for legal use cases.
Support client engagements through technical discovery sessions, requirements gathering, and scoping of legal AI use cases.
Work with legal and technical stakeholders to understand workflows, pain points, and outcomes.
Assist with demonstrations, proofs of concept, and early-stage prototypes.
Develop working knowledge of legal terminology, processes, and operational constraints.
Design, develop, and implement AI-powered solutions for contract review, litigation support, discovery automation, and regulatory analysis.
Build and support RAG pipelines, agentic workflows, and multi-component AI systems.
Configure and integrate solutions using CoCounsel, Westlaw, Practical Law, and other platforms.
Develop automation scripts, APIs, and integration components tailored to customer environments.
Collaborate with senior engineers to ensure solutions are scalable, maintainable, and secure.
Evaluate LLM outputs for legal accuracy, relevance, and citation quality.

Skills

Python

AI/ML Tooling

LLM Concepts

API Integration

Cloud Platforms

RAG/Vector DB

Legal Domain

Portfolio Projects

Tools

OpenAI

Anthropic

CoCounsel

Westlaw

Practical Law

Job description

Partner with AI Solution Engineers, Architects, and senior technical teammates to design, build, and deploy AI-powered solutions for legal customers
Translate legal workflows and business needs into reliable technical solutions combining foundation models, proprietary AI capabilities, and legal-domain understanding
Contribute to technical discovery, solution delivery, prototyping, integrations, and evaluation of AI outputs for legal use cases
Support client engagements through technical discovery sessions, requirements gathering, and scoping of legal AI use cases
Work with legal and technical stakeholders to understand workflows, pain points, and desired outcomes
Assist with demonstrations, proofs of concept, and early-stage prototypes
Develop working knowledge of legal terminology, processes, and operational constraints
Design, develop, and implement AI-powered solutions for contract review, litigation support, discovery automation, and regulatory analysis
Build and support retrieval-augmented generation (RAG) pipelines, agentic workflows, and multi-component AI systems
Configure and integrate solutions using CoCounsel, Westlaw, Practical Law, and other enterprise platforms
Develop automation scripts, APIs, and integration components tailored to customer environments
Collaborate with senior engineers and architects to ensure solutions are scalable, maintainable, and secure
Evaluate LLM outputs for legal accuracy, relevance, citation quality, consistency, and hallucination risk
Contribute to test cases, benchmarks, and evaluation workflows based on real legal tasks
Partner with internal teams to validate capabilities against real-world legal use cases
Support compliance with responsible AI principles, data privacy requirements, and enterprise security standards
Translate functional requirements into technical tasks and contribute to implementation planning
Document solutions, reusable components, and engineering best practices
Experiment with prompting strategies, workflow improvements, and emerging AI techniques
Stay current with AI engineering, legal technology, and applied LLM developments

Requirements

2–4 years of software engineering experience, including experience building applications or integrations in production environments
Hands-on experience with Python
Familiarity with modern AI/ML tooling and APIs
Understanding of core machine learning and LLM concepts, including prompt design, evaluation, and workflow orchestration
Experience integrating external APIs, automating workflows, or building data pipelines
Strong communication skills and ability to work effectively with legal, product, and engineering stakeholders
Ability to work in fast-paced environments, learn quickly, and contribute across multiple projects
Experience with cloud platforms such as AWS, Azure, or GCP
Familiarity with containerization, deployment workflows, and modern software development practices
Experience using AI platforms or APIs such as OpenAI, Anthropic, or similar providers
Exposure to vector databases, embeddings, search, or retrieval systems
Experience working on AI solutions in legal, compliance, financial, healthcare, or other regulated/professional domains
Portfolio or project examples demonstrating practical use of LLMs, automations, or applied AI systems

Core Competencies

Demonstrates expertise in designing and implementing AI-powered solutions tailored for legal applications, with a strong foundation in Python programming, machine learning concepts, and integration of legal workflows. Proficient in collaborating with cross-functional teams to deliver scalable and secure AI solutions while ensuring compliance with legal and ethical standards.

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