AI Engineer
- Posted 20 hours ago
- Be among the first 10 applicants
Job Description
Job Description
Responsibilities: - Build products from zero to one, taking major features across the full stack from design to launch. - Drive feedback loops with users, founders, and the Customer Success team to rapidly iterate on product direction. - Architect scalable systems, implement robust software components, and ensure reliability and performance. - Write clean, well-tested, production-grade code that is easy to read and maintain. Requirements: - 6-10 years of experience in AI / ML/backend engineering. - Strong CS fundamentals (Tier-1 college preferred). - Experience with backend systems and APIs (e. g., Node.js, Python, or similar). - Experience with modern web stacks (e. g., TypeScript, React, Next.js, or similar). - Familiarity with LLM frameworks (LangChain, LlamaIndex, etc. ) and with OpenAI, Claude, and Gemini APIs. - Hands-on experience with RAG pipelines and vector databases. - Experience with LLMOps and evaluation frameworks. Other Requirements: - Experience building end-to-end systems from scratch. - Track record of optimising for latency and cost in production systems. - Prior work in Series A/B startups or fast-paced environments. - Comfortable working with data-intensive applications and distributed systems. - Ability to pick up new technologies quickly and move across the stack as needed. - Solid understanding of performance, system design, and scalability. Company Summary PineGap. AI is an AI-powered equity research platform built for institutional equity analysts and portfolio managers, helping them automate daily workflows across idea generation and validation, new companies ramp-up, and earnings analysis. PineGap. AI exists to elevate discretionary equity investing by becoming the essential intelligence layer for the modern buy-side. Our mission is to streamline complex research workflows, reduce noise, and accelerate informed decision-making without compromising on data integrity. Why Join Us You should join us: - Work on real-world AI systems that go beyond experimentation and drive tangible impact. - Tackle challenges around scale, latency, and reliability in production environments. - Be part of a small, high-ownership team where your contributions truly matter. - Build AI products trusted and used by leading financial institutions.
Required Skills
[AI, Agentic AI, Artificial Intelligence, Backend, Generative AI, Node.js, NodeJS, Python, TypeScript]
Additional Information
Source recruiter: Radhika Sharma Source recruiter designation: Hiring Manager Company tagline: AI-powered equity research platform Employee count: 10 Company founded: 2024 Company tech stack: Python, APIs, Llmops, vLLM, Hugging Face, RAG Website: https://www.pinegap.ai/home LinkedIn: https://www.linkedin.com/company/pinegap/ Instahyre score: NA Strong match: NA Accept outstation: true Company tagline: AI-powered equity research platform Logo: https://media.instahyre.com/images/profile/base/employer/54363/e3c483b20f/pinegap_logo.webp
Responsibilities: - Build products from zero to one, taking major features across the full stack from design to launch. - Drive feedback loops with users, founders, and the Customer Success team to rapidly iterate on product direction. - Architect scalable systems, implement robust software components, and ensure reliability and performance. - Write clean, well-tested, production-grade code that is easy to read and maintain. Requirements: - 6-10 years of experience in AI / ML/backend engineering. - Strong CS fundamentals (Tier-1 college preferred). - Experience with backend systems and APIs (e. g., Node.js, Python, or similar). - Experience with modern web stacks (e. g., TypeScript, React, Next.js, or similar). - Familiarity with LLM frameworks (LangChain, LlamaIndex, etc. ) and with OpenAI, Claude, and Gemini APIs. - Hands-on experience with RAG pipelines and vector databases. - Experience with LLMOps and evaluation frameworks. Other Requirements: - Experience building end-to-end systems from scratch. - Track record of optimising for latency and cost in production systems. - Prior work in Series A/B startups or fast-paced environments. - Comfortable working with data-intensive applications and distributed systems. - Ability to pick up new technologies quickly and move across the stack as needed. - Solid understanding of performance, system design, and scalability. Company Summary PineGap. AI is an AI-powered equity research platform built for institutional equity analysts and portfolio managers, helping them automate daily workflows across idea generation and validation, new companies ramp-up, and earnings analysis. PineGap. AI exists to elevate discretionary equity investing by becoming the essential intelligence layer for the modern buy-side. Our mission is to streamline complex research workflows, reduce noise, and accelerate informed decision-making without compromising on data integrity. Why Join Us You should join us: - Work on real-world AI systems that go beyond experimentation and drive tangible impact. - Tackle challenges around scale, latency, and reliability in production environments. - Be part of a small, high-ownership team where your contributions truly matter. - Build AI products trusted and used by leading financial institutions.
Required Skills
[AI, Agentic AI, Artificial Intelligence, Backend, Generative AI, Node.js, NodeJS, Python, TypeScript]
Additional Information
Source recruiter: Radhika Sharma Source recruiter designation: Hiring Manager Company tagline: AI-powered equity research platform Employee count: 10 Company founded: 2024 Company tech stack: Python, APIs, Llmops, vLLM, Hugging Face, RAG Website: https://www.pinegap.ai/home LinkedIn: https://www.linkedin.com/company/pinegap/ Instahyre score: NA Strong match: NA Accept outstation: true Company tagline: AI-powered equity research platform Logo: https://media.instahyre.com/images/profile/base/employer/54363/e3c483b20f/pinegap_logo.webp
More Info
Key Skills
LangChain
Generative AI
Gemini APIs
LLMOps
Vector databases
Agentic AI
Next.js
LLM frameworks
RAG pipelines
LlamaIndex
Evaluation frameworks


