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About Fusemachines
Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world.
This is full-time remote role.
Role Overview:
As an AI Solutions Engineer, you will play a pivotal role in delivering high-quality, tailored AI and automation solutions that directly address client challenges and generate tangible value. You will lead technical implementation efforts, support ongoing engineering for retainer clients, and help build scalable, productized solutions that can be deployed across multiple clients.
Responsibilities:
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Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world.
This is full-time remote role.
Role Overview:
As an AI Solutions Engineer, you will play a pivotal role in delivering high-quality, tailored AI and automation solutions that directly address client challenges and generate tangible value. You will lead technical implementation efforts, support ongoing engineering for retainer clients, and help build scalable, productized solutions that can be deployed across multiple clients.
Responsibilities:
- Design, develop, and deploy tailored AI and automation solutions based on client-specific needs and objectives
- Translate business problems into scalable AI workflows using tools such as Python, n8n, OpenAI APIs, and vector databases
- Act as a technical partner for retainer clients—owning solution delivery, refinement, and maintenance
- Create technical documentation, client demos, and internal playbooks to support reuse and scalability
- Stay current on emerging AI tools, libraries, and methodologies to continuously enhance solution quality and delivery speed
- Solutions delivered to clients consistently meet or exceed expectations and show measurable business impact (e.g., time saved, cost reduced, conversion increased)
- Retainer clients view you as a go-to engineering partner—relying on your expertise to expand AI usage and optimize existing workflows
- You bring creativity and a strategic approach to problem solving and your solutions designs
- 3–5+ years of experience in software engineering
- Demonstrated project work in AI and automation (e.g., GPT APIs, workflow automation tools, embeddings, etc.)
- Driven to innovate to find better and more efficient solutions to daily challenges
- Proven ability to deliver custom AI solutions with real business outcomes
- Strong experience with Python and relevant frameworks, and familiarity with prompt engineering, RAG pipelines, and integration tools (like n8n, Make, etc)
- Excellent problem-solving skills and ability to translate ambiguous client goals into technical implementations
- Experience supporting client relationships and managing multiple priorities in parallel
- Self-directed, collaborative, and excited by both deep technical builds and scrappy prototyping
- Experience building and maintaining SaaS or agentic platforms
- Familiarity with MLOps tools, vector databases (e.g., Pinecone, Weaviate), and deploying solutions in cloud environments like Azure
- Prior consulting experience or work in fast-paced startup environments
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Key Skills
Ranked by relevance
ai
python
ai tools
cloud
mlops
saas
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- Posted
- Jul 30, 2025
- Type
- Contract
- Level
- Mid-Senior
- Location
- Pune
- Company
- Fusemachines
Industries
Internet Publishing
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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2026-05-15
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Data Scientist_ML (India)
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