Founding AI Engineer to architect, build, and scale production-grade autonomous AI agents capable of executing complex, multi-step real-world tasks. The role involves ownership of the end-to-end Agentic AI infrastructure.
Locations (3)
Delhi, Delhi, India
Gurugram, Haryana, India
Noida, Uttar Pradesh, India
Compensation
Rs 3000000 - Rs 9000000 (ie INR 30 - 90 LPA)
Responsibilities
Design, develop, and deploy production-grade LLM agents capable of executing complex, multi-step tasks.
Own and maintain product and feature roadmap, prioritize features, review pull requests, manage test cycle, coordinate releases, and ensure quality delivery.
Compensation
CTC Range - 13 - 15L
Responsibilities
Own and maintain the product and feature roadmap; turn business needs into clear specs and user stories.
Prioritise features and manage the backlog with stakeholders.
Review pull requests for standards and compliance — tests present, conventions followed, tickets linked — and route issues back to developers.
Plan and manage the test cycle — test plans, regression, and UAT.
Coordinate and own go-lives and releases, including checklists and rollback readiness.
This role builds and extends a greenfield data and AI platform supporting federal background investigation work in a high-trust environment (FedRAMP Moderate, NIST 800-171, and CUI).
Compensation
$112,000 - $179,000
Responsibilities
Build, test, and maintain data ingestion, transformation, and pipeline code that turns raw and synthetic data into governed data products
Develop and maintain the pipelines, transformations, and data products that move the platform forward
Work alongside the platform's lead engineer
Extend the platform using infrastructure-as-code patterns
Collaborate across technical and non-technical teams
Senior Software Development Engineer in Test (SDET) to build and scale test automation infrastructure for CrowdStrike’s Endpoint Protection Cloud team.
Compensation
The base salary range for this position for all U.S. candidates is $120,000 - $185,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.
Responsibilities
Design and implement scalable test automation frameworks for complex distributed systems involving cloud services and endpoint agent software.
Develop comprehensive test strategies for security-critical features, focusing on reliability, accuracy, and performance at scale.
Review engineering technical designs with a focus on testability, security implications, and potential edge cases.
Create and maintain cloud-based test infrastructure that simulates real-world deployment scenarios.
Build tools and frameworks for testing complex agent-cloud interactions, data processing pipelines, and API integrations.
Lead backend and service-layer engineering for autonomous command-and-control systems, integrating sensors, edge services, and AI-enabled decision-making.
Compensation
Base salary range: $145,000 to $275,000 annually. Visa sponsorship is not available.
Responsibilities
Design, implement, and optimize software for mission‑critical autonomous systems
Build backend services and real‑time messaging integrations connecting external systems and platforms
Develop software that processes data from diverse sensors for real‑time state estimation and threat detection
Build LLM‑ and AI‑enabled systems that assess threats and support timely responses
Integrate sensors, effectors, and autonomous platforms, including individual systems and swarms
Lead the team building an AI context platform for a collaborative data and analytics product, guiding the development of tools that help users understand, evaluate, and improve how AI agents work with business data.
Locations (2)
San Francisco, California, United States
New York, New York, United States
Compensation
Base salary range: $221,000 to $295,000 USD annually.
Responsibilities
Lead the engineering team responsible for the context platform.
Set technical direction, review designs, and contribute directly to implementation.
Manage and support engineers, setting a high bar while helping them do their best work.
Recruit strong engineering talent for the team.
Requirements
Computer science degree or equivalent experience
Nice to have: React
Nice to have: Postgres
Nice to have: Python
Skills
T
Full Stack Engineer
True Talent Solutions Partners · Posted Nov 10, 2026
Build full‑stack software that supports the operations of an early‑stage investment and startup ecosystem, including application workflows, events, and internal tools.
Compensation
Base salary range: $185,000 to $485,000 USD annually. Visa sponsorship is available.
Responsibilities
Design, build, and ship applications for application processing, events, and internal operations.
Develop event features for registration, coordination, and media handling.
Integrate with external services such as calendars, messaging platforms, and email.
Build semantic search and AI‑powered tools using language models, embeddings, and natural language interfaces.
Automate application workflows, including scheduling, notifications, status tracking, and email triage.
Requirements
Strong computer science fundamentals, demonstrated through education or exceptional projects.
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