Backend - Engineer

We are seeking a talented and motivated AI Engineer to join our growing technology team. In this role, you will be responsible for designing, building, and maintaining production-grade AI systems and pipelines. You will collaborate closely with data scientists, product managers, and software engineers to bring intelligent features to life — spanning language models, automation tools, and data-driven products. Strong Python expertise and hands-on experience with modern AI frameworks and tooling are essential.

• 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.

• Experience fine-tuning or training LLMs (LoRA, RLHF, instruction tuning) on custom datasets.
• Familiarity with multi-modal AI systems (vision-language models, speech-to-text, generative image models).
• Hands-on experience with LLM APIs and at least one major AI orchestration framework (LangChain, LlamaIndex, etc.).
• Knowledge of AI safety, responsible AI, and governance frameworks.
• Experience with REST API development using FastAPI or Flask; familiarity with gRPC is a plus.
• Open-source contributions or published AI projects on GitHub.
• Experience with streaming data pipelines (Kafka, Spark) for real-time AI inference.
• Background in agentic AI systems, autonomous agents, or multi-agent frameworks.
• Strong experience with AWS services: Lambda, ECS/Fargate, S3, DynamoDB, API Gateway, SQS/SNS

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.