ESqHiring

Engineering Square | AI Engineer | Bay Area, CA | ONSITE | Full-Time

We're hiring an AI Engineer to build and ship production AI systems - not research prototypes. Startup experience is a must: we want someone who has shipped fast in a small team, owned systems end-to-end, and is comfortable with ambiguity. Big-company-only resumes won't be a fit.

You will own: - RAG pipelines and agentic workflows (end-to-end accuracy) - GPU-optimized model deployment (Trident-style architecture) - Production MLOps: distillation, fine-tuning, training orchestration - Data modeling for AI persona capabilities - The infra around it: Docker, CI/CD, logging, monitoring, observability

You should have: - 3-12 years shipping AI/ML in production (notebooks do not count) - Time at a startup or scale-up where you owned what you built - Strong Python; bonus for C++/Java/C# in performance-critical paths - Hands-on with RAG, MLOps tooling, and GPU deployment at scale

W2 full-time. Must be authorized to work in the US. No remote, no C2C.

Apply: saikumar@engineeringsquare.us (subject: "AI Engineer - [Your Name]")

Engineering Square | Business Development Representative | Remote (West Coast hours) | Full-Time | $55K-$70K + OTE $85K-$100K + Equity

Our client, a Series A legal tech startup ($9.1M raised from Foundry Group + top law firms), is hiring 6 BDRs to join their sales team.

You'll prospect outbound via phone, email, and LinkedIn to generate new opportunities, run discovery calls, and partner with AEs. Clear path to a closing AE role.

Looking for: 1-2 years outbound B2B SaaS sales experience, strong phone presence, 60-80+ dials/day track record, CRM familiarity (HubSpot, ZoomInfo). Legal tech, fintech, compliance, or HR tech background is a plus.

No visa sponsorship.

Apply: saikumar@engineeringsquare.us (subject: "BDR — Legal Tech — [Your Name]")

Engineering Square | Multiple Roles | Los Angeles, CA & NYC | HYBRID | Full-Time

=== 1. Corporate/M&A Associate | Los Angeles, CA | $200K-$230K ===

Boutique law firm in West Los Angeles seeking a Corporate/M&A Associate for their middle-market M&A practice.

The firm advises on PE buyouts, strategic acquisitions, growth investments, and sell-side transactions across entertainment, tech, consumer, healthcare, and aerospace. They co-counsel with top firms and negotiate against Latham, Cooley, and Dentons on complex deals.

- Lean deal teams (partner + associate + paralegal) with real client exposure from day one - Draft/negotiate SPAs, APAs, LLC agreements, stockholder agreements, NDAs - 2-4 years corporate/M&A experience at BigLaw, strong midsize, or reputable boutique - JD from ABA-accredited law school, strong academics - Hybrid: up to 3 days remote. No visa sponsorship. - $200,000-$230,000 base + discretionary bonuses + generous raises

Apply: saikumar@engineeringsquare.us (subject: "M&A Associate - [Your Name]")

=== 2. Telecom Solution Engineer | New York, NY | $90/hr ===

Con Edison project — retiring legacy TDM/Channel Bank/POTS/T1 infrastructure and migrating to modern Ethernet/MPLS/fiber/wireless solutions.

- 12+ months contract, hybrid 2-3 days onsite at 4 Irving Place, NYC - Must have telecom engineering background with legacy-to-modern migration experience - GC/USC/GC EAD/H4 EAD/H1B welcome — must be local NYC

Apply: saikumar@engineeringsquare.us (subject: "Telecom Engineer - [Your Name]")

Engineering Square | AI Engineer | San Francisco, CA | ONSITE | Full-Time | $175K + Equity

We're hiring an AI Engineer to build and ship production AI systems — not research prototypes.

You'll own our AI pipeline: RAG optimization, GPU model deployment on Trident architecture, production MLOps (training, inference, model lifecycle), and agentic AI systems. This is for engineers who ship code, not notebooks.

Stack: Python (primary), C++/Java/C#, Docker, CI/CD, GPU infrastructure, RAG, model fine-tuning/distillation.

3-10 years production AI experience. Full-time W2 only.

$175,000/year + Equity. San Francisco on-site.

Apply: saikumar@engineeringsquare.us (subject: "AI Engineer — [Your Name]")