Overview
On Site
$65 - $70 hr
Contract - Independent
Contract - W2
Contract - 5+ mo(s)
Skills
ENGINEER
DATA
AI
LLM
LARGE LANGUAGE MODEL
PYTHON
SQL
DBT
AWS
SALESFORCE
VENTURE CAPITAL
VENTURE
PRIVATE EQUITY
FINANCIAL
DATA-FORWARD
RETOOL
UNQORK
LOW-CODE
LOW CODE
INTERNAL-APP
Job Details
Payrate: $65.00 - $70.00/hr.
Summary:
This role will contribute to data and AI-enabled internal products for a venture capital firm. The primary emphasis is on next-generation capabilities (LLM-assisted sourcing and diligence, enrichment, search/retrieval, internal research tools), delivered on top of the existing AWS/Python stack and surfaced through Slack, Retool and Company s CRM. The role will require working within Company s enterprise engineering and security guidelines.
Responsibilities:
Qualifications:
Pay Transparency: The typical base pay for this role across the U.S. is: $65.00 - $70.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.
Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary.
You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded.
Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying STOP to messages or by contacting .
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our
#AditiConsulting
#25-23613
Summary:
This role will contribute to data and AI-enabled internal products for a venture capital firm. The primary emphasis is on next-generation capabilities (LLM-assisted sourcing and diligence, enrichment, search/retrieval, internal research tools), delivered on top of the existing AWS/Python stack and surfaced through Slack, Retool and Company s CRM. The role will require working within Company s enterprise engineering and security guidelines.
Responsibilities:
- AI- and LLM-enabled solutions - Design and build AI-assisted workflows for investment, diligence, and portfolio monitoring (e.g. document and meeting summarization, entity extraction, classification, similarity/ companies like this features). - Integrate with major LLM providers and retrieval/vector services; establish patterns for prompt design, evaluation, and monitoring. - Expose AI capabilities through internal UIs (Retool) or lightweight APIs for non-technical teams.
- Data and enrichment pipelines (Python + AWS) - Develop Python-based ingestion and transformation jobs that run on AWS (S3, Lambda, ECS, Aurora Postgres). - Implement reusable patterns for onboarding new external data sources (commercial data, 3rd-party APIs, portfolio-company data). - Prepare and serve data in formats suitable for AI/LLM workloads (embeddings, indexes, features).
- Internal applications - Build and maintain Retool applications to support day-to-day investment and platform operations (deal views, company dossiers, data quality, AI results review). - Ensure applications meet basic standards for access control, logging, and performance.
- Core integrations - Keep aligned with the central data store to ensure core entities (company, deal, person/contact) are consistent. - Contribute to the existing dbt project (add or adjust models/tests) when AI features or Retool apps depend on it.
- Operationalization and handover - Document pipelines, services, and apps to a standard that allows handover to internal staff or future suppliers. - Add monitoring, alerting, and simple CI/CD where proportionate.
Qualifications:
- 4-7+ years in software/data/platform engineering delivering production workloads.
- Strong Python (data processing, API integrations, automation, packaging).
- Demonstrable experience with AWS for data/app workloads (S3, Lambda, IAM, scheduling/eventing, Secrets Manager).
- Hands-on delivery of AI-/LLM-backed features or workflow for example RAG, semantic search, text classification, or automated summarization. - Experience building internal tools in Retool or an equivalent low-code/internal-app environment.
- Solid SQL skills and ability to work within an existing transformation layer (dbt or similar).
- Ability to engage directly with business users, clarify requirements, and report progress.
- Experience integrating with Slack and Company (REST/Bulk APIs, object model, upserts).
- Familiarity with vector databases / search technologies and RAG-style architectures.
- Experience in venture capital / private equity / financial or data-forward professional services settings.
Pay Transparency: The typical base pay for this role across the U.S. is: $65.00 - $70.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.
Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary.
You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded.
Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying STOP to messages or by contacting .
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our
#AditiConsulting
#25-23613
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