AI Engineer, Pulsora
$50-60k
+ Offers Equity
Enterprise sustainability platform
Be an early applicant
Enterprise sustainability platform
101-200 employees
Be an early applicant
$50-60k
+ Offers Equity
101-200 employees
Company mission
To empower purpose-driven enterprises to manage and improve their ESG footprint and make a positive impact on the planet and its people.
Role
Who you are
- Undergraduate degree in Computer Science or similar Engineering field, advanced degree is a plus
- 5+ years of professional experience in software development, with a minimum of 2 years focused on AI/ML development, particularly with LLMs
- Strong proficiency in Python and its relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn)
- Proven experience integrating and working with major LLM APIs - both public and private/local, e.g., Gemini, OpenAI, Anthropic, Llama, Ollama, etc., including hands-on experience using techniques for LLM efficiency
- At least 1 year of deep practical experience with LangChain and LangGraph for building complex LLM applications and agentic workflows using autonomous agents, tools, memory management, parallelization, etc
- Solid understanding and implementation experience with RAG architectures, vector DBs, vector search, embeddings, and reranking mechanisms
- Experience leveraging AI Copilot or similar generative AI coding tools for accelerated development, code generation, refactoring, optimization, and vibe coding to create integrated backend and frontend applications
- Experience creating UI using React and integrating the UI with the backend using REST APIs is a big plus
- Hands-on experience with Java, especially integrating Java modules with Python modules is a nice to have, but not necessary
- Strong collaboration across a small team, including great communication with both onshore and offshore departments and translating vague requirements into actionable systems
- Self-motivated and proactive—you create momentum without needing direction
- A strong problem solver who can navigate ambiguity
- A builder who cares about shipping real, working products
- Comfortable with ownership, accountability, and high expectations
- Thrives outside of traditional work structures
- You own the quality of the product you build
What the job involves
- We are seeking a highly skilled and experienced AI/ML Developer to join our team. The ideal candidate will be a specialist in the rapidly evolving field of Large Language Models (LLMs) and generative AI, with a strong background in developing, integrating, and optimizing complex agentic and RAG-based systems
- LLM Integration & Development: Design, develop, and deploy production-grade applications leveraging various LLMs, context optimization, etc
- Agentic Workflows: Architect and implement sophisticated, multi-step and multi-agent workflows using frameworks like LangChain and LangGraph
- Retrieval Augmented Generation (RAG): Build and optimize RAG pipelines, including implementing and managing embeddings, vector databases, and advanced rerankers to enhance response quality and relevance
- Vibe Coding: Use code generation applications (e.g. Replit, Cursor, Google AI Studio, Git Hub Copilot in Agent mode, etc.) to create full applications (including frontend and backend), generate tests, perform testing and integrate them in the core product without writing any code
- LLM Fine Tuning: Lead efforts in LLM fine-tuning (e.g., LoRA, QLoRA) for specific domain knowledge and tasks, and implement strategies for and efficiency
- Prompt Engineering: Develop and refine advanced prompt engineering techniques to maximize model performance, consistency, and safety
- Full-Stack Development: Own end-to-end implementation from frontend to the backend
- Java (Plus): Expose AI/LLM functionality written in Python using Java services, leverage multi-threading capabilities in Java to augment AI/LLM functionality developed in Python
- Code Quality & Productivity: Utilize AI-powered development tools (e.g., GitHub Copilot, etc.) to efficiently generate, refactor, and optimize high-quality code
- Collaboration: Work closely with team leads managers, QA, product managers and team in the US (this will require the willingness to partially work US working hours)
Our take
In today's corporate landscape, the call for sustainable practices is louder than ever, driven by heightened expectations from stakeholders and consumers alike. The challenge for businesses lies in the escalating demand to monitor, disclose, and enhance their sustainability and Environmental, Social, and Governance (ESG) outputs.
Pulsora, formerly known as pulsESG, is rising to meet this challenge by providing companies with a unified platform, streamlining the sustainability process, from data gathering and declarations to auditing logs and analytics. The platform simplifies intricate sustainability management tasks, catering to a broad spectrum of users.
Pulsora plans to utilize fresh capital awarded in 2023 to enhance its enterprise sustainability management tool, including adding features like carbon accounting to help clients meet their targets. The company also aims to expand its footprint across North America, Europe, the Middle East, Australia and Asia. With over 400 global corporations already relying on Puslora to navigate the complexities of sustainability, the company's future looks promising.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (2 rounds)
Sep 2023
$20m
SERIES A
Oct 2021
$8.5m
SEED
Total funding: $28.5m
Company benefits
- Medical, dental, and vision insurance for employees and dependents
- Flexible paid vacation as well as 10+ observed holidays by country
- Employee equity program
- Retirement savings with employer matching
- Paid parental leave for biological, adoptive, and foster parents
- Monthly stipend to cover the cost of internet and phone
- Remote friendly: Set your own schedule and be flexible about where you work, from our offices in the Bay Area and New York, from home, or a bit of both!
Company HQ
Downtown, San Mateo, CA
Leadership
Murat Sönmez
(CEO & Co-Founder)Previously co-founded TIBCO, where they served as the Executive VP for almost 18 years. They are currently a Board Member at Avellino Lab and a Member of the Board of Trustees at TED University.
Inderjeet Singh
(CTO & Co-Founder)Previously a Senior VP and General Manager at TIBCO. They also worked as an Executive VP and General Manager at Oracle.
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