Backend - Engineer

Looking for a Product Marketing & Communications Associate to drive strategic marketing communications for our AI-powered platforms, including Talliant. This role focuses on shaping product narratives, building market positioning, managing content strategy, and creating marketing assets that support both brand visibility and sales enablement. The ideal candidate should have a strong understanding of product marketing, content strategy, social media engagement, and SEO-driven communication, with the ability to translate complex technology concepts into clear and compelling messaging.

• Design, develop, and deploy end-to-end AI/ML systems including LLM-powered applications, intelligent agents, and automation pipelines.
• Build and maintain APIs, microservices, and integrations that expose AI capabilities to downstream products and users.
• Architect scalable, reliable inference systems and pipelines using cloud platforms (AWS, GCP, or Azure).
• Implement Retrieval-Augmented Generation (RAG) systems, vector databases, and embedding pipelines for enterprise knowledge systems.
• Write clean, well-tested, production-quality Python code following software engineering best practices (PEP 8, type hints, docstrings).
• Develop and maintain Python-based data processing pipelines using libraries such as pandas, NumPy, asyncio, and FastAPI.
• Build robust tooling, SDKs, and automation scripts to support AI workflows and internal developer productivity.
• Work with large language model APIs (OpenAI, Anthropic Claude, Gemini, Mistral) and open-source models (LLaMA, Falcon) for various NLP use cases.
• Leverage AI development frameworks including LangChain, LlamaIndex, Haystack, and CrewAI to build agent-based and multi-step reasoning systems.
• Integrate and fine-tune models using tools such as Hugging Face Transformers, PEFT/LoRA, and Weights & Biases for experiment tracking.
• Use vector databases (Pinecone, Weaviate, Chroma, pgvector) and semantic search infrastructure to power AI-driven search and recommendation features.
• Apply prompt engineering, chain-of-thought prompting, and function calling techniques to optimize LLM outputs.
• Monitor, evaluate, and continuously improve deployed AI systems using performance metrics, A/B testing, and user feedback loops.
• Build and maintain model evaluation pipelines to track accuracy, latency, bias, and regression across model versions.

• 4+ years of experience relevant in Product Marketing, Marketing Communications, or Content Strategy
• Strong understanding of B2B marketing and SaaS product positioning
• Experience managing LinkedIn and professional social media platforms
• Knowledge of SEO, keyword research, and content performance analytics
• Ability to create sales enablement content such as decks, proposals, and thought leadership assets
• Excellent written and verbal communication skills
• Comfort working with cross-functional teams (product, design, sales)

At Space, we're not just building software; we're crafting digital solutions that redefine industries. We believe in the power of technology to transform businesses and lives. Our culture is one of innovation, collaboration, and a relentless pursuit of excellence. We foster an environment where ideas are nurtured, and potential is maximized.

Joining Space means becoming part of a dynamic team that's at the forefront of technological advancements.You'll have the opportunity to work on challenging and rewarding projects, alongside some of the brightest minds in the industry. We offer a competitive compensation package, comprehensive benefits, and ample opportunities for professional growth.

But what truly sets us apart is our commitment to our employees. We believe in investing in our people, providing them with the tools, resources, and support they need to succeed. We encourage a healthy work-life balance and promote a positive and inclusive workplace culture. If you're passionate about technology and eager to make a meaningful impact, Space is the place for you.