Senior AI Context Engineer

TEKsystems; Lee's Summit (MO); Remote; USD 125,000 - 158,000; Full time

Benefits offered by this job

Health/Vision/Dental benefits

401(k) retirement plan with company/2%

Well-being program

Paid Time Off

Community Enrichment Time

Life and AD&D insurance

Disability insurance

Tuition Assistance Program

Job summary

TEKsystems is seeking a Senior AI Context Engineer to build data foundations powering enterprise AI. You will transform structured and unstructured content, including policy docs, benefit materials, and clinical records, into high-quality AI context.

Role blends software engineering, applied AI, and data architecture with a focus on RAG, vector retrieval, and semantic search. This remote position offers comprehensive benefits and aligns with HIPAA/HITRUST compliance standards.

Qualifications

• 5+ years in backend software engineering, applied ML/search, or data-centric app development.
• Hands-on experience optimizing AI and RAG architectures, prompt context strategies, and vector retrieval.
• Proficient in Python and SQL; familiar with Airflow, Prefect, Temporal.
• Experience parsing unstructured content using LlamaIndex, Unstructured.io, LangChain loaders.
• Experience with vector databases, embeddings, and semantic search platforms.

Responsibilities

• Extraction & Chunking: convert PDFs, clinical notes, and policy docs into contextual units for LLMs.
• Semantic Search & Reranking: implement hybrid search and reranking to boost precision.
• Agentic Context Services: design payloads and metadata for MCP servers and LLM tools.
• Index Design & Optimization: implement vector indexing and embedding schemes in enterprise stores.
• Vector Metadata: design tagging for precise filtering and hybrid search.
• Retrieval Evaluation & Groundedness: automate evaluation of relevance and embedding drift.
• Healthcare Context Compliance: ensure HIPAA/HITRUST, masking PHI data.
• Context-Level Access Control: RBAC within vector metadata for authorized snippet access.
• Auditing & Handoff Lineage: maintain context tracking and audit logs for prototypes.
• Reference Pattern Alignment & Product Support: align with Sr. AI Solutions Architect, support AI features.

Skills

genai

vector database

python

Retrieval-Augmented Generation

Semantic Search

Tools

Pinecone

pgvector

Weaviate

Qdrant

Azure AI Search

Job description

Description

Our customer is seeking a Senior AI Context Engineer to help build and optimize the data foundations that power enterprise AI solutions. This role sits at the intersection of software engineering, applied AI, and data architecture, focusing on transforming structured and unstructured content, including policy documents, benefit materials, and clinical records, into high-quality context for AI applications.

Knowledge, Skills, And Abilities

Experience: 5+ years of experience in backend software engineering, applied machine learning/search, or data-centric application development.

GenAI & RAG Focus: 12 years of hands-on experience specifically optimizing AI and RAG architectures, prompt context strategies, and vector retrieval pipelines for LLM applications.

Programming & Tooling: Advanced proficiency in Python and SQL, alongside familiarity with modern orchestration tools (e.g., Airflow, Prefect, Temporal).

Unstructured Content Parsing: Deep experience using parsing frameworks (e.g., LlamaIndex, Unstructured.io, LangChain document loaders) to process complex layouts, tables, and unstructured documents.

Vector & Search Engines: Hands-on experience working with vector databases, embeddings, and semantic search platforms (e.g., Pinecone, pgvector, Weaviate, Qdrant, Azure AI Search).

Evaluation Frameworks: Familiarity with RAG and LLM context evaluation frameworks (e.g., Ragas, TruLens, Arize Phoenix) to measure retrieval recall, precision, and groundedness.

Data Security & Privacy: Practical experience handling sensitive healthcare data (PHI/PII) within high-compliance software environments.

Duties And Responsibilities

Context Engineering & Retrieval Optimization

Extraction & Chunking: Build and refine advanced structured and unstructured information parsing, layouts processing, and chunking workflows (converting PDFs, clinical notes, data, and policy docs) into high-quality contextual units for LLMs in partnership with cross-functional teams.

Semantic Search & Reranking: Implement hybrid search mechanics, metadata routing, and reranking logic to drastically improve retrieval precision and minimize model hallucinations.

Agentic Context Services: Design context payload specifications and metadata structures that feed into Model Context Protocol (MCP) servers and LLM orchestration tools built by application developers.

Vector Indexing & Retrieval Architecture

Index Design & Optimization: Recommends and implements vector indexing strategies, embedding schemes, and semantic query designs inside enterprise-provisioned vector stores (e.g., Pinecone, pgvector, Azure AI Search) to ensure high-performance, low-latency retrieval.

Vector Metadata: Design and manage sophisticated metadata tagging schemes to enable precise filtering, hybrid search, and domain-specific context retrieval.

Retrieval Evaluation & Groundedness: Establish automated evaluation frameworks to continuously monitor retrieval relevance, context quality, groundedness scores, and embedding drift over time.

Context Security, Compliance & Governance

Healthcare Context Compliance: Ensure all document processing and contextual payloads strictly adhere to HIPAA and HITRUST standards, implementing automated masking and tokenization for Protected Health Information (PHI).

Context-Level Access Control: Ensure role-based access control (RBAC) rules within vector metadata, ensuring AI search queries only return contextual snippets that the active user is authorized to see.

Auditing & Hand-off Lineage: Maintain context tracking and audit logs for prompt payloads, establishing clean data hand-off specifications when transitioning validated innovation prototypes to enterprise Data & Analytics or IT teams.

Collaborative Execution

Reference Pattern Alignment: Build upon the reference architectures, CI/CD templates, and "golden paths" established by the Sr. AI Solutions Architect.

Product Support: Work alongside the AI Product Owner and AI Full Stack Developers to rapidly supply high-accuracy context layers for upcoming GenAI features.

Work-at-home requirements

Must have the ability to provide a non-cellular High Speed Internet Service such as Fiber, DSL, or cable Modems for a home office.

A minimum standard speed for optimal performance of 30x5 (30mpbs download x 5mpbs upload) is required.

Latency (ping) response time lower than 80 ms

Hotspots, satellite and wireless internet service is NOT allowed for this role.

A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

Skills

genai, vector database, python, Retrieval-Augmented Generation, Semantic Search

Top Skills Details

genai,vector database,python,Retrieval-Augmented Generation,Semantic Search

Experience Level

Expert Level

Job Type & Location

This is a Permanent position based out of Lees Summit, MO.

Pay And Benefits

The pay range for this position is $124666.00 - $157710.00/yr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

• Health/Vision/Dental benefits effective day one
• 401(k) retirement plan: company match dollar for dollar up to 4% employee contribution (pretax or Roth options) plus a 6% annual company contribution
• Robust employee well-being program
• Paid Time Off
• Personal Community Enrichment Time
• Company-provided Basic Life and AD&D
• Company-provided Short-Term & Long-Term Disability
• Tuition Assistance Program

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Oct 21, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems And TEKsystems Global Services

We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance:

Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI):

We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.